Scientific peer-reviewed publications in refereed journals

 

[1]              K. Aduse-Poku, E. van Bergen, S. Sáfián, S. C. Collins, R. S. Etienne, L. Herrera-Alsina, P. M. Brakefield, O. Brattström, D. J. Lohman, and N. Wahlberg, ‘Miocene Climate and Habitat Change Drove Diversification in Bicyclus, Africa’s Largest Radiation of Satyrine Butterflies’, Systematic Biology, vol. 71, no. 3, pp. 570–588, 2022.

[2]              S. R. Aghazadeh, H. Martinez-Garcia, E. Barajas-Ojeda, and A. Saberkari, ‘A 3-5-GHz, 385-540-ps CMOS true time delay element for ultra-wideband antenna arrays’, AEU – International Journal of Electronics and Communications, vol. 149, p. 154175, 2022.

[3]              F. Agner, P. Kergus, R. Pates, and A. Rantzer, ‘Combating district heating bottlenecks using load control’, Smart Energy, vol. 6, p. 100067, 2022.

[4]              G. Ahani, D. Yuan, and S. Sun, ‘Optimal Scheduling of Age-centric Caching: Tractability and Computation’, IEEE Transactions on Mobile Computing, vol. 21, pp. 2939–2954, 2022.

[5]              I. Ahmad, J. Suomalainen, P. Porambage, A. Gurtov, J. Huusko, and M. Höyhtyä, ‘Security of Satellite-Terrestrial Communications: Challenges and Potential Solutions’, IEEE Access, vol. 10, pp. 96038–96052, 2022.

[6]              F. Ahmed, P. Ding, U. Ail, M. Warczak, A. Grimoldi, T. Ederth, K. Håkansson, M. Vagin, V. Gueskine, M. Berggren, and X. Crispin, ‘Manufacturing Poly(3,4-Ethylenedioxythiophene) Electrocatalytic Sheets for Large-Scale H2O2 Production’, Advanced Sustainable Systems, vol. 6, no. 1, p. 2100316, 2022.

[7]              N. bin Ali and B. Tanveer, ‘A Comparison of Citation Sources for Reference and Citation-Based Search in Systematic Literature Reviews’, e-Informatica Software Engineering Journal, vol. 16, no. 1, p. 220106, 2022.

[8]              H. Aliakbari Abar, M. Mosalanejad, C. Soens, G. A. E. Vandenbosch, and B. K. Lau, ‘79 GHz multilayer series-fed patch antenna array with stacked micro-via loading’, IEEE Antennas and Wireless Propagation Letters, vol. 21, no. 10, pp. 1990–1994, 2022.

[9]              S. Allipuram, P. Mohapatra, N. Pappas, S. Parmar, and S. Chakrabarti, ‘Performance Analysis of a MIMO System With Bursty Traffic in the Presence of Energy Harvesting Jammer’, IEEE Transactions on Green Communications and Networking, vol. 6, no. 2, pp. 1157–1172, 2022.

[10]           C. Altafini, G. Como, J. M. Hendrickx, A. Olshevsky, and A. Tahbaz-Salehi, ‘Guest Editorial Special Issue on Dynamics and Behaviors in Social Networks’, IEEE Transactions on Control of Network Systems, vol. 9, no. 3, pp. 1053–1055, 2022.

[11]           D. I. Alves, C. Muller, B. G. Palm, M. Pettersson, V. T. Vu, R. Machado, B. F. Uchoa-Filho, P. Dammert, and H. Hellsten, ‘Neyman-Pearson Criterion-Based Change Detection Methods for Wavelength-Resolution SAR Image Stacks’, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1–5, 2022.

[12]           O. Amador Molina, M. Aramrattana, and A. Vinel, ‘A Survey on Remote Operation of Road Vehicles’, IEEE Access, pp. 130135–130154, 2022.

[13]           O. Amador, M. Urueña, M. Calderon, and I. Soto, ‘Evaluation and improvement of ETSI ITS Contention-Based Forwarding (CBF) of warning messages in highway scenarios’, Vehicular Communications, vol. 34, p. 100454, 2022.

[14]           A. Andersen, A. E. O. Persson, and L. Wernersson, ‘As-deposited ferroelectric HZO on a III–V semiconductor’, Applied Physics Letters, vol. 121, no. 1, pp. 012901–012901, 2022.

[15]           A. Andersson and M. Gullberg, ‘First language matters: ERPs show crosslinguistic influence on the processing of placement verb semantics’, Frontiers in Psychology, vol. 13, pp. 1–19, 2022.

[16]           G. Andersson, K. Ellegård, P. Bülow, A. Denhov, K. Vrotsou, C.-G. Stefansson, and A. Topor, ‘A longitudinal study of men and women diagnosed with psychosis: trajectories revealing interventions in a time-geographic framework’, GeoJournal, pp. 2423–2440, 2022.

[17]           S. Andric, O.-P. Kilpi, R. Mamidala Saketh, J. Svensson, E. Lind, and L.-E. Wernersson, ‘Performance, Analysis, and Modeling of III-V Vertical Nanowire MOSFETs on Si at Higher Voltages’, IEEE Transactions on Electron Devices, vol. 69, no. 6, pp. 3055–3055, 2022.

[18]           S. Andric, F. Lindelow, L. O. Fhager, E. Lind, and L. E. Wernersson, ‘Lateral III-V Nanowire MOSFETs in Low-Noise Amplifier Stages’, IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 2, pp. 1284–1291, 2022.

[19]           P. Anistratov, B. Olofsson, and L. Nielsen, ‘Analysis and design of recovery behaviour of autonomous-vehicle avoidance manoeuvres’, Vehicle System Dynamics, vol. 60, no. 7, pp. 2231–2254, 2022.

[20]           M. Anwar, L. Lundberg, and A. Borg, ‘Improving anomaly detection in SCADA network communication with attribute extension’, Energy Informatics, vol. 5, no. 1, 2022.

[21]           G. F. Araujo, R. Machado, and M. Pettersson, ‘Non-Cooperative SAR Automatic Target Recognition Based on Scattering Centers Models’, Sensors, vol. 22, no. 3, p. 1293, 2022.

[22]           A. Armada Moreira, C. Diacci, A. M. Manan Dar, M. Berggren, D. Simon, and E. Stavrinidou, ‘Benchmarking organic electrochemical transistors for plant electrophysiology’, Frontiers in Plant Science, vol. 13, 2022.

[23]           D. Arnström and D. Axehill, ‘A Unifying Complexity Certification Framework for Active-Set Methods for Convex Quadratic Programming’, IEEE Transactions on Automatic Control, vol. 67, no. 6, pp. 2758–2770, 2022.

[24]           D. Arnström, A. Bemporad, and D. Axehill, ‘A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDLT Updates’, IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 4362–4369, 2022.

[25]           D. Arnström, A. Bemporad, and D. Axehill, ‘A Linear Programming Method Based on Proximal-Point Iterations with Applications to Multi-Parametric Programming’, IEEE Control Systems Letters, vol. 6, pp. 2066–2071, 2022.

[26]           I. Arvidsson, A. Davidsson, N. C. Overgaard, C. Pagonis, K. Åström, E. Good, J. Frias-Rose, A. Heyden, and M. Ochoa-Figueroa, ‘Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera’, Journal of Nuclear Cardiology, vol. 30, no. 1, pp. 116–126, 2022.

[27]           R. Athle, T. Blom, A. Irish, A. E. O. Persson, L. E. Wernersson, R. Timm, and M. Borg, ‘Improved Endurance of Ferroelectric HfxZr1–xO2 Integrated on InAs Using Millisecond Annealing’, Advanced Materials Interfaces, vol. 9, no. 27, p. 2201038, 2022.

[28]           R. Athle, A. E. O. Persson, A. Troian, and M. Borg, ‘Top Electrode Engineering for Freedom in Design and Implementation of Ferroelectric Tunnel Junctions Based on Hf1- xZrxO2’, ACS Applied Electronic Materials, vol. 4, no. 3, pp. 1002–1009, 2022.

[29]           M. Attari, L. Ferreira, L. Liu, and S. Malkowsky, ‘An Application Specific Vector Processor for Efficient Massive MIMO Processing’, IEEE Transactions on Circuits and Systems I: Regular Papers, pp. 1–12, 2022.

[30]           D. Badampudi, F. Fotrousi, B. Cartaxo, and M. Usman, ‘Reporting Consent, Anonymity and Confidentiality Procedures Adopted in Empirical Studies Using Human Participants’, e-Informatica Software Engineering Journal, vol. 16, no. 1, p. 220109, 2022.

[31]           A. Baeuerle, C. van Onzenoodt, S. der Kinderen, J. Johansson Westberg, D. Jönsson, and T. Ropinski, ‘Where did my Lines go? Visualizing Missing Data in Parallel Coordinates’, Computer graphics forum (Print), vol. 41, no. 3, pp. 235–246, 2022.

[32]           S. Baghersalimi, T. Teijeiro, D. Atienza, and A. Aminifar, ‘Personalized Real-Time Federated Learning for Epileptic Seizure Detection’, IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 2, pp. 898–909, 2022.

[33]           J. Bai and E. G. Larsson, ‘Activity Detection in Distributed MIMO: Distributed AMP via Likelihood Ratio Fusion’, IEEE Wireless Communications Letters, vol. 11, no. 10, pp. 2200–2204, 2022.

[34]           A. Baiocchi, I. Turcanu, and A. Vinel, ‘Age of Information in CSMA-based Networks with Bursty Update Traffic’, IEEE Access, pp. 44088–44105, 2022.

[35]           K. Bartoszek and M. Okroj, ‘Controversies around the statistical presentation of data on mRNA-COVID 19 vaccine safety in pregnant women’, Journal of Reproductive Immunology, vol. 151, p. 103503, 2022.

[36]           R. H. Bayford, R. Damaso, N. Neshatvar, Y. Ivanenko, T. W. Rademacher, Y. Wu, N. Seifnaraghi, L. Ghali, N. Patel, I. Roitt, S. Nordebo, and A. Demosthenous, ‘Locating Functionalized Gold Nanoparticles Using Electrical Impedance Tomography’, IEEE Transactions on Biomedical Engineering, pp. 494–502, 2022.

[37]           R. H. Bayford, R. Damaso, N. Neshatvar, Y. Ivanenko, T. W. Rademacher, Y. Wu, N. Seifnaraghi, L. Ghali, N. Patel, I. Roitt, S. Nordebo, and A. Demosthenous, ‘Locating Functionalized Gold Nanoparticles Using Electrical Impedance Tomography’, IEEE Transactions on Biomedical Engineering, pp. 494–502, 2022.

[38]           E. Becirovic, E. Björnson, and E. G. Larsson, ‘Combining Reciprocity and CSI Feedback in MIMO Systems’, IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 10065–10080, 2022.

[39]           A. Behrens, J. Sanmartin Berglund, and P. Anderberg, ‘CoGNIT Automated Tablet Computer Cognitive Testing in Patients with Mild Cognitive Impairment: Feasibility Study’, JMIR Formative Research, vol. 6, no. 3, p. e23589, 2022.

[40]           D. Belaineh Yilma, R. Brooke, N. Sani, M. G. Say, K. M. Håkansson, I. Engquist, M. Berggren, and J. Edberg, ‘Printable carbon-based supercapacitors reinforced with cellulose and conductive polymers’, Journal of Energy Storage, vol. 50, p. 104224, 2022.

[41]           A. Belgacem, S. Mahmoudi, and M. Kihl, ‘Intelligent multi-agent reinforcement learning model for resources allocation in cloud computing’, Journal of King Saud University – Computer and Information Sciences, vol. 34, no. 6, pp. 2391–2404, 2022.

[42]           K. E. Bennin, A. Tahir, S. G. MacDonell, and J. Börstler, ‘An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction’, IET Software, pp. 185–199, 2022.

[43]           M. Berggren, E. Glowacki, D. T. Simon, E. Stavrinidou, and K. Tybrandt, ‘In Vivo Organic Bioelectronics for Neuromodulation’, Chemical Reviews, vol. 122, no. 4, pp. 4826–4846, 2022.

[44]           J. Bernard and K. Vrotsou, ‘Foreword to Special Section on EuroVA 2021’, Computers & graphics, vol. 107, pp. A9–A9, 2022.

[45]           Bernardo, C. Altafini, and F. Vasca, ‘Finite-time convergence of opinion dynamics in homogeneous asymmetric bounded confidence models’, European Journal of Control, vol. 68, p. 100674, 2022.

[46]           J. Berner, A. L. D. Moraes, J. Sanmartin Berglund, and P. Anderberg, ‘Technology anxiety and technology enthusiasm versus digital ageism’, Gerontechnology, vol. 21, no. 1, pp. 1–8, 2022.

[47]           S. Biswas and S. Dey, ‘Asymptotic Performance Analysis of Distributed Non-Bayesian Quickest Change Detection with Energy Harvesting Sensors’, IEEE Transactions on Aerospace and Electronic Systems, pp. 3697–3707, 2022.

[48]           E. Bjarnason, B. Gislason Bern, and L. Svedberg, ‘Inter-Team Communication in Large-Scale Co-Located Software Engineering: A Case Study’, Empirical Software Engineering, vol. 27, no. 2, 2022.

[49]           A. Borg and M. Svensson, ‘All Burglaries Are Not the Same: Predicting Near-Repeat Burglaries in Cities Using Modus Operandi’, ISPRS International Journal of Geo-Information, vol. 11, no. 3, p. 160, 2022.

[50]           P. Boström-Rost, D. Axehill, and G. Hendeby, ‘PMBM Filter With Partially Grid-Based Birth Model with Applications in Sensor Management’, IEEE Transactions on Aerospace and Electronic Systems, pp. 530–540, 2022.

[51]           Boutry et al., ‘The Adjuvanted Recombinant Zoster Vaccine Confers Long-Term Protection Against Herpes Zoster: Interim Results of an Extension Study of the Pivotal Phase 3 Clinical Trials ZOE-50 and ZOE-70’, Clinical Infectious Diseases, vol. 74, no. 8, pp. 1459–1467, 2022.

[52]           M. Boyden, A. Basirat, and K. Berglund, ‘Digital Conceptual History and the Emergence of a Globalized Climate Imaginary’, Contributions to the History of Concepts, vol. 17, no. 2, pp. 95–122, 2022.

[53]           Brissman, J. Johnander, M. Danelljan, and M. Felsberg, ‘Recurrent Graph Neural Networks for Video Instance Segmentation’, International Journal of Computer Vision, vol. 131, no. 2, pp. 471–495, 2022.

[54]           R. Brooke, M. Lay, K. Jain, H. Francon, M. G. Say, D. Belaineh Yilma, X. Wang, K. Håkansson, L. Wågberg, I. Engquist, J. Edberg, and M. Berggren, ‘Nanocellulose and PEDOT:PSS composites and their applications’, Polymer Reviews, vol. 63, no. 2, pp. 437–477, 2022.

[55]           J. Broz, T. Tichy, V. Angelakis, and Z. Belinova, ‘Usage of V2X Applications in Road Tunnels’, Applied Sciences, vol. 12, no. 9, p. 4624, 2022.

[56]           X. Cai, X. Cheng, and F. Tufvesson, ‘Toward 6G with Terahertz Communications: Understanding the Propagation Channels’, IEEE Communications Magazine, 2022.

[57]           A. B. Campos, M. Pettersson, V. T. Vu, and R. Machado, ‘False Alarm Reduction in Wavelength-Resolution SAR Change Detection Schemes by Using a Convolutional Neural Network’, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1–5, 2022.

[58]           M. Capek, J. Lundgren, M. Gustafsson, K. Schab, and L. Jelinek, ‘Characteristic Mode Decomposition Using the Scattering Dyadic in Arbitrary Full-Wave Solvers’, IEEE Transactions on Antennas and Propagation, pp. 1–1, 2022.

[59]           B. Casas Garcia, L. Vilen, S. Bauer, K. P. Kanebratt, C. W. Huldt, L. Magnusson, U. Marx, T. B. Andersson, P. Gennemark, and G. Cedersund, ‘Integrated experimental-computational analysis of a HepaRG liver-islet microphysiological system for human-centric diabetes research’, PLOS One, vol. 18, no. 10, p. e1010587, 2022.

[60]           A. Chatzimparmpas, R. M. Martins, K. Kucher, and A. Kerren, ‘FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches’, IEEE Transactions on Visualization and Computer Graphics, pp. 1773–1791, 2022.

[61]           X. Chen, D. Badampudi, and M. Usman, ‘Reuse in Contemporary Software Engineering Practices – An Exploratory Case Study in A Medium-sized Company’, e-Informatica Software Engineering Journal, vol. 16, no. 1, p. 220110, 2022.

[62]           X. Chen, E. G. Larsson, and K. Huang, ‘Analog MIMO Communication for One-Shot Distributed Principal Component Analysis’, IEEE Transactions on Signal Processing, vol. 70, pp. 3328–3342, 2022.

[63]           J. Cheng, Y. Yan, A. Jakobsson, and W. Q. Wang, ‘FDA-MIMO radar detection for independent and nonidentically distributed fluctuating targets’, Digital Signal Processing: A Review Journal, vol. 129, p. 103634, 2022.

[64]           J. Cheng, C. Shen, Z. Chen, and N. Pappas, ‘Robust Beamforming Design for IRS-Aided URLLC in D2D Networks’, IEEE Transactions on Communications, vol. 70, no. 9, pp. 6035–6049, 2022.

[65]           J. H. Cheon and T. Johansson, ‘Preface’, 13th International Conference on Post-Quantum Cryptography, PQCrypto 2022, 2022.

[66]           Y. Cherdantseva, P. Burnap, S. Nadjm-Tehrani, and K. Jones, ‘A Configurable Dependency Model of a SCADA System for Goal-Oriented Risk Assessment’, Applied Sciences, vol. 12, no. 10, p. 4880, 2022.

[67]           M. K. Chung, L. Liu, and O. Edfors, ‘Phase-Noise Compensation for OFDM Systems Exploiting Coherence Bandwidth: Modeling, Algorithms, and Analysis’, IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3040–3056, 2022.

[68]           G. Como, S. Durand, and F. Fagnani, ‘Optimal Targeting in Super-Modular Games’, IEEE Transactions on Automatic Control, vol. 67, no. 12, pp. 6366–6380, 2022.

[69]           G. Como, F. Fagnani, and A. V. Proskurnikov, ‘Reaching Optimal Distributed Estimation Through Myopic Self-Confidence Adaptation’, 25th IFAC Symposium on Mathematical Theory of Networks and Systems, MTNS 2022, Bayreuthl, pp. 442–447, 2022.

[70]           G. Como and R. Maggistro, ‘Distributed Dynamic Pricing of Multiscale Transportation Networks’, IEEE Transactions on Automatic Control, vol. 67, no. 4, pp. 1625–1638, 2022.

[71]           M. C. Coskun, G. Liva, A. G. i. Amat, M. Lentmaier, and H. D. Pfister, ‘Successive Cancellation Decoding of Single Parity-Check Product Codes: Analysis and Improved Decoding’, IEEE Transactions on Information Theory, pp. 1–1, 2022.

[72]           S. Criten, P. Andersson, S. Renvert, B. Götrick, J. Sanmartin Berglund, and V. W. Bengtsson, ‘Oral health status among 60-year-old individuals born in 1941-1943 and 1954-1955 and 81-year-old individuals born in 1922-1924 and 1933-1934, respectively: a cross-sectional study’, Clinical Oral Investigations, vol. 26, no. 11, pp. 6733–6742, 2022.

[73]           Curry, F. Heintz, M. Irgens, A. W. M. Smeulders, and S. Stramigioli, ‘Partnership on AI, Data, and Robotics’, Communications of the ACM, vol. 65, no. 4, pp. 54–55, 2022.

[74]           D’Acunto, E. Kokkonen, P. Shayesteh, V. Boix, F. Rehman, Z. Mosahebfard, E. Lind, J. Schnadt, and R. Timm, ‘Oxygen relocation during HfO2 ALD on InAs’, Faraday Discussions, vol. 236, pp. 71–85, 2022.

[75]           Dahlberg, A. E. O. Persson, R. Athle, and L. E. Wernersson, ‘Ferroelectric-Antiferroelectric Transition of Hf1- xZrxO2on Indium Arsenide with Enhanced Ferroelectric Characteristics for Hf0.2Zr0.8O2’, ACS Applied Electronic Materials, vol. 4, no. 12, pp. 6357–6363, Dec. 2022.

[76]           W. Daniel, I. Jusufi, R. M. Martins, K. Kucher, and A. Kerren, ‘Interactive Optimization of Embedding-based Text Similarity Calculations’, Information Visualization, pp. 335–353, 2022.

[77]           S. K. Dasari, A. Cheddad, J. Palmquist, and L. Lundberg, ‘Clustering-based Adaptive Data Augmentation for Class-imbalance in Machine Learning (CADA): Additive Manufacturing Use-case’, Neural Computing & Applications, 2022.

[78]           F. G. R. de Souza, C. M. Hirata, and S. Nadjm-Tehrani, ‘Synthesis of a Controller Algorithm for Safety-Critical Systems’, IEEE Access, vol. 10, pp. 76351–76375, 2022.

[79]           S. Debreslioska and M. Gullberg, ‘Information status predicts the incidence of gesture in discourse: An experimental study’, Discourse Processes, vol. 59, no. 10, pp. 791–827, Dec. 2022.

[80]           Q. Delooz, A. Willecke, K. Garlichs, A. C. Hagau, L. Wolf, A. Vinel, and A. Festag, ‘Analysis and Evaluation of Information Redundancy Mitigation for V2X Collective Perception’, IEEE Access, vol. 10, pp. 47076–47093, 2022.

[81]           A. Dhar, S. B. Roy, and S. Bhasin, ‘Initial Excitation based Discrete-time Multi-Model Adaptive Online Identification’, European Journal of Control, vol. 68, p. 100672, 2022.

[82]           X. Ding, H. Liang, A. Jakobsson, X. Tu, and Y. Huang, ‘High-resolution source localization exploiting the sparsity of the beamforming map’, Signal Processing, vol. 192, p. 108377, 2022.

[83]           P. Doherty and A. Szalas, ‘A landscape and implementation framework for probabilistic rough sets using PROBLOG’, Information Sciences, vol. 593, pp. 546–576, 2022.

[84]           Ducrocq, N. Chopin, J. Errard, and R. Stompor, ‘Improved Gibbs samplers for cosmic microwave background power spectrum estimation’, Physical Review D: covering particles, fields, gravitation, and cosmology, vol. 105, no. 10, 2022.

[85]           A. Dutceac Segesten, M. Bossetta, N. Holmberg, and D. C. Niehorster, ‘The Cueing Power of Comments on Social Media: How Disagreement in Facebook Comments Affects User Engagement with News’, Information, Communication & Society, vol. 25, no. 8, pp. 1115–1134, 2022.

[86]           G. Ekström, D. C. Niehorster, and E. J. Olsson, ‘Self-imposed Filter Bubbles: Selective Attention and Exposure in Online Search’, Computers in Human Behavior Reports, vol. 7, p. 100226, 2022.

[87]           F. Ekström Kelvinius, R. Armiento, and F. Lindsten, ‘Graph-based machine learning beyond stable materials and relaxed crystal structures’, Physical Review Materials, vol. 6, no. 3, 2022.

[88]           S. N. Emhardt, H. Jarodzka, S. Brand-Gruwel, C. Drumm, D. C. Niehorster, and T. van Gog, ‘What is my teacher talking about? Effects of displaying the teacher’s gaze and mouse cursor cues in video lectures on students’ learning’, Journal of Cognitive Psychology, vol. 34, no. 7, pp. 846–864, 2022.

[89]           D. Enlund, K. Harrison, R. Ringdahl, A. Börütecene, J. Löwgren, and V. Angelakis, ‘The role of sensors in the production of smart city spaces’, Big Data and Society, vol. 9, no. 2, p. 205395172211102, 2022.

[90]           A. Ernstsson, N. Vandenbergen, J. Keller, and C. Kessler, ‘A Deterministic Portable Parallel Pseudo-Random Number Generator for Pattern-Based Programming of Heterogeneous Parallel Systems’, International journal of parallel programming, vol. 50, pp. 319–340, 2022.

[91]           E. Fitzgerald, M. Pióro, H. Tataria, G. Callebaut, S. Gunnarsson, and L. Van der Perre, ‘A Light Signaling Approach to Node Grouping for Massive MIMO IoT Networks’, Computers, vol. 11, no. 6, p. 98, 2022.

[92]           Flyborg, S. Renvert, J. Sanmartin Berglund, and P. Anderberg, ‘Use of a powered toothbrush to improve oral health in individuals with mild cognitive impairment’, Gerodontology, vol. 40, no. 1, pp. 74–82, 2022.

[93]           A.Fontan and C. Altafini, ‘The role of frustration in collective decision-making dynamical processes on multiagent signed networks’, IEEE Transactions on Automatic Control, pp. 5191–5206, 2022.

[94]           V. Fors, B. Olofsson, and E. Frisk, ‘Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences’, IEEE Transactions on Intelligent Vehicles, vol. 7, no. 4, pp. 838–848, 2022.

[95]           R. Forsling, A. Hansson, F. Gustafsson, Z. Sjanic, J. Löfberg, and G. Hendeby, ‘Conservative Linear Unbiased Estimation Under Partially Known Covariances’, IEEE Transactions on Signal Processing, vol. 70, pp. 3123–3135, 2022.

[96]           E. Fountoulakis, T. Charalambous, N. Nomikos, A. Ephremides, and N. Pappas, ‘Information Freshness and Packet Drop Rate Interplay in a Two-User Multi-Access Channel’, Journal of Communications and Networks, vol. 24, no. 3, pp. 357–364, 2022.

[97]           A. Franco, B. Landfeldt, C. Nyberg, and U. Körner, ‘Statistical guarantee of timeliness in networks of IoT devices’, Telecommunication Systems, vol. 80, no. 4, pp. 487–496, Jun. 2022.

[98]           Fredriksson, A. A. Sezer, V. Angelakis, and D. Gundlegård, ‘Construction related urban disturbances: Identification and linking with an IoT-model’, Automation in Construction, vol. 134, p. 104038, 2022.

[99]           Z. F. Fric, B. Martinkova, M. Rindos, A. Suchackova Bartonova, N. Wahlberg, and J. Papp Maresova, ‘Molecular phylogeny and biogeography of the genus Symbrenthia (Lepidoptera, Nymphalidae) correlates with the past geography of the Oriental region’, Molecular Phylogenetics and Evolution, vol. 177, p. 107605, 2022.

[100]        A. Fyhr, J. Persson, and Å. Ek, ‘Usage and usability of a national e-library for chemotherapy regimens: a mixed method study’, JMIR Human Factors, vol. 9, no. e33651, pp. 1–8, 2022.

[101]        N. S. Garigapati, L. Södergren, P. Olausson, and E. Lind, ‘Strained Inx Ga(1-x )As/InP near surface quantum wells and MOSFETs’, Applied Physics Letters, vol. 120, no. 9, p. 092105, 2022.

[102]        Y. Gerasimov, A. Halder, A. H. Mousa, S. Ghosh, H. Padinhare, T. Abrahamsson, D. Bliman, J. Strandberg, M. Massetti, I. Zozoulenko, D. T. Simon, M. Berggren, R. Olsson, and S. Fabiano, ‘Rational Materials Design for In Operando Electropolymerization of Evolvable Organic Electrochemical Transistors’, Advanced Functional Materials, vol. 32, no. 32, p. 2202292, 2022.

[103]        Gerdin and H. Englund, ‘Vertical, horizontal, and self control in academia: Survey evidence on their diverging effects on perceived researcher autonomy and identity’, The British Accounting Review, vol. 54, no. 5, p. 101055, 2022.

[104]        H. R. Ghanavi, V. Twort, T. J. Hartman, R. Zahiri, and N. Wahlberg, ‘The (non) accuracy of mitochondrial genomes for family-level phylogenetics in Erebidae (Lepidoptera)’, Zoologica Scripta, vol. 51, no. 6, pp. 695–707, 2022.

[105]        Z. Ghani, S. Saha, J. Jarl, M. Andersson, J. Sanmartin Berglund, and P. Anderberg, ‘Short Term Economic Evaluation of the Digital Platform “Support, Monitoring and Reminder Technology for Mild Dementia” (SMART4MD) for People with Mild Cognitive Impairment and their Informal Caregivers’, Journal of Alzheimer’s Disease, pp. 1629–1641, 2022.

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[305]        Y. Wang, H. Johansson, M. Deng, and Z. Li, ‘On the Compensation of Timing Mismatch in Two-Channel Time-Interleaved ADCs: Strategies and a Novel Parallel Compensation Structure’, IEEE Transactions on Signal Processing, vol. 70, pp. 2460–2475, 2022.

[306]        A. Wigren and F. Lindsten, ‘Marginalized particle Gibbs for multiple state-space models coupled through shared parameters’, Journal of Computational and Graphical Statistics, 2022.

[307]        A. Wigren, J. Wågberg, F. Lindsten, A. G. Wills, and T. B. Schön, ‘Nonlinear System Identification: Learning While Respecting Physical Models Using a Sequential Monte Carlo Method’, IEEE Control Systems Magazine, vol. 42, no. 1, pp. 75–102, 2022.

[308]        N. Wingren and D. Sjöberg, ‘Nondestructive Testing Using mm-Wave Sparse Imaging Verified for Singly Curved Composite Panels’, IEEE Transactions on Antennas and Propagation, vol. 71, no. 1, pp. 1185–1189, 2022.

[309]        J. Wirtz and C. Kowalkowski, ‘Putting the “service” into B2B marketing: Key developments in service research and their relevance for B2B’, Journal of business & industrial marketing, vol. 38, no. 2, pp. 272–289, 2022.

[310]        H.Y. Wu, C. Yang, Q. Li, N. B. Kolhe, X. Strakosas, M.-A. Stoeckel, Z. Wu, W. Jin, M. Savvakis, R. Kroon, D. Tu, H. Y. Woo, M. Berggren, S. A. Jenekhe, and S. Fabiano, ‘Influence of Molecular Weight on the Organic Electrochemical Transistor Performance of Ladder-Type Conjugated Polymers’, Advanced Materials, vol. 34, no. 4, p. 2106235, 2022.

[311]        K. Xu, T.-P. Ruoko, M. Shokrani, D. Scheunemann, H. Abdalla, H. Sun, C. Yang, Y. Puttisong, N. B. Kolhe, S. Mendoza Figueroa, J. Oshaug Pedersen, T. Ederth, W. Chen, M. Berggren, S. A. Jenekhe, D. Fazzi, M. Kemerink, and S. Fabiano, ‘On the Origin of Seebeck Coefficient Inversion in Highly Doped Conducting Polymers’, Advanced Functional Materials, vol. 32, no. 20, p. 2112276, 2022.

[312]        Y. Yang, D. Tu, T.-P. Ruoko, J. Gerasimov, H. Y. Wu, H. Padinhare, M. Massetti, M.-A. Stoeckel, R. Kroon, C. Müller, M. Berggren, S. Fabiano, C. Yang, and H. Wu, ‘Low-Power/High-Gain Flexible Complementary Circuits Based on Printed Organic Electrochemical Transistors’, Advanced Electronic Materials, vol. 8, no. 3, p. 2100907, 2022.

[313]        J. Yang, Q. Guo, T. Johansson, and M. Lentmaier, ‘Revisiting the Concrete Security of Goldreich’s Pseudorandom Generator’, IEEE Transactions on Information Theory, vol. 68, no. 2, pp. 1329–1354, 2022.

[314]        Q. Yang, A. Dürr, E. A. Topp, J. A. Stork, and T. Stoyanov, ‘Variable Impedance Skill Learning for Contact-Rich Manipulation’, IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 8391–8398, 2022.

[315]        S. Yang, W. Yi, and A. Jakobsson, ‘Multitarget Detection Strategy for Distributed MIMO Radar With Widely Separated Antennas’, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1–16, 2022.

[316]        Z. Yong, R. Mamidala Saketh, K.-M. Persson, G. S. Subramanian, L.-E. Wernersson, and J. Pan, ‘The Effect of Deposition Conditions on Heterointerface-Driven Band Alignment and Resistive Switching Properties’, Advanced Electronic Materials, vol. 8, no. 11, p. 2200220, 2022.

[317]        H. Yu, H. Jia, J. Zhou, and A. Hussien, ‘Enhanced Aquila optimizer algorithm for global optimization and constrained engineering problems’, Mathematical Biosciences and Engineering, vol. 19, no. 12, pp. 14173–14211, 2022.

[318]        Z. Yu and D. Yuan, ‘Resource Optimization with Interference Coupling in Multi-RIS-Assisted Multi-Cell Systems’, IEEE Open Journal of Vehicular Technology, pp. 98–110, 2022.

[319]        M. Zabihipour, P. Janson, M. Berggren, D. Simon, P. Andersson Ersman, and I. Engquist, ‘Organic electrochemical transistors manufactured by laser ablation and screen printing’, Flexible and Printed Electronics, vol. 7, no. 3, p. 035018, 2022.

[320]        M. Zabihipour, D. Tu, R. Forchheimer, J. Strandberg, M. Berggren, I. Engquist, and P. Andersson Ersman, ‘High-Gain Logic Inverters based on Multiple Screen-Printed Organic Electrochemical Transistors’, Advanced Materials Technologies, vol. 7, no. 10, p. 2101642, 2022.

[321]        R. Zanetti, A. Arza, A. Aminifar, and D. Atienza, ‘Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices’, IEEE Transactions on Biomedical Engineering, vol. 69, no. 1, pp. 265–277, 2022.

[322]        A. Zenere, E. G. Larsson, and C. Altafini, ‘Relating balance and conditional independence in graphical models’, Physical review. E, vol. 106, no. 4, 2022.

[323]        A. Zenere, O. Rundquist, M. Gustafsson, and C. Altafini, ‘Multi-omics protein-coding units as massively parallel Bayesian networks: Empirical validation of causality structure’, iScience, vol. 25, no. 4, p. 104048, 2022.

[324]        A. Zenere, O. Rundquist, M. Gustafsson, and C. Altafini, ‘Using high-throughput multi-omics data to investigate structural balance in elementary gene regulatory network motifs’, Bioinformatics, vol. 38, no. 1, pp. 173–178, 2022.

[325]        G. Zhang, J. O. Nielsen, X. Cai, G. F. Pedersen, and W. Fan, ‘Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz’, IEEE Antennas and Wireless Propagation Letters, vol. 21, no. 9, pp. 1797–1801, 2022.

[326]        K. Zhang, E. G. Larsson, P. Papadimitratos, and P. Papadimitratos, ‘Protecting GNSS Open Service Navigation Message Authentication Against Distance-Decreasing Attacks’, IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 2, pp. 1224–1240, 2022.

[327]        S. Zhang, M. Massetti, T.-P. Ruoko, D. Tu, C. Y. Yang, X. Liu, Z. Wu, Y. Lee, R. Kroon, P. O. A. Persson, H. Y. Woo, M. Berggren, C. Müller, M. Fahlman, S. Fabiano, and C. Yang, ‘Synergistic Effect of Multi-Walled Carbon Nanotubes and Ladder-Type Conjugated Polymers on the Performance of N-Type Organic Electrochemical Transistors’, Advanced Functional Materials, vol. 32, no. 1, p. 2106447, 2022.

[328]        Y. Zhang, Y. Ding, Z. Peng, H. Li, M. Fujita, and J. Jiang, ‘BMC-Based Temperature-Aware SBST for Worst-Case Delay Fault Testing Under High Temperature’, IEEE Transactions on Very Large-Scale Integration (vlsi) Systems, vol. 30, no. 11, pp. 1677–1690, 2022.

[329]        Y. Zhang, J. Li, M. Li, Y. Zhang, J. Luo, Y. Huang, J. Yang, and A. Jakobsson, ‘Online Sparse Reconstruction for Scanning Radar Using Beam-Updating q-SPICE’, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1–5, 2022.

[330]        R. Zheng, A. Hussien, H.-M. Jia, L. Abualigah, S. Wang, and D. Wu, ‘An Improved Wild Horse Optimizer for Solving Optimization Problems’, Mathematics, vol. 10, no. 8, p. 1311, 2022.

[331]        Z. Zhu, A. Jönsson, Y. P. Liu, J. Svensson, R. Timm, and L. E. Wernersson, ‘Improved Electrostatics through Digital Etch Schemes in Vertical GaSb Nanowire p-MOSFETs on Si’, ACS Applied Electronic Materials, vol. 4, no. 1, pp. 531–538, 2022.

[332]        Z. Zhu, J. Svensson, A. Jönsson, and L. E. Wernersson, ‘Performance enhancement of GaSb vertical nanowire p-type MOSFETs on Si by rapid thermal annealing’, Nanotechnology, vol. 33, no. 7, p. 075202, 2022.

[333]        T. Ziemke and S. Thellman, ‘Do we really want AI to be human-like?’, Science Robotics, vol. 7, no. 68, 2022.

[334]        E. Zohrevandi, C. Westin, J. Lundberg, and A. Ynnerman, ‘Design and Evaluation Study of Visual Analytics Decision Support Tools in Air Traffic Control’, Computer graphics forum (Print), vol. 41, no. 1, pp. 230–242, 2022.

[335]        E. Zohrevandi, C. Westin, K. Vrotsou, and J. Lundberg, ‘Exploring Effects of Ecological Visual Analytics Interfaces on Experts’ and Novices’ Decision‐Making Processes: A Case Study in Air Traffic Control’, Computer graphics forum (Print), vol. 41, no. 3, pp. 453–464, 2022.

[336]        C. Åleskog, H. Grahn, and A. Borg, ‘Recent Developments in Low-Power AI Accelerators: A Survey’, Algorithms, vol. 15, no. 11, p. 419, 2022.

[337]        G. Öman Lundin, P. Mouyon, A. Manecy, and G. Hendeby, ‘Non-redundant high-integrity position estimation robust to sensor bias jumps using MGLR’, Drone Systems and Applications, pp. 343–366, 2022.

 

Scientific peer- reviewed conference papers

Licentiate theses

 

 

PhD theses

 

[1]                 M. Ahrnbom, ‘Computer Vision for Automated Traffic Safety Assessment: A Machine Learning Approach’, PhD Thesis, Lund University / Centre for Mathematical Sciences /LTH, 2022.

[2]                 E. Becirovic, ‘Signal Processing Aspects of Massive MIMO’, PhD Thesis, Linköping University Electronic Press, 2022.

[3]                 T. Berner, ‘Modeling and Control for Improved Predictability of Cloud Applications’, PhD Thesis, Department of Automatic Control, Lund University, 2022.

[4]                 A. Ernstsson, ‘Pattern-based Programming Abstractions for Heterogeneous Parallel Computing’, PhD Thesis, Linköping University Electronic Press, 2022.

[5]                 X. Li, ‘Parametric Radio Channel Estimation and Robust Localization’, PhD Thesis, Lund University, 2022.

[6]                 C. Mandrioli, ‘Control-Theoretical Perspective in Feedback-Based Systems Testing’, PhD Thesis, Department of Automatic Control, Faculty of Engineering LTH, Lund University, 2022.

[7]                 N. M. Minhas, ‘Understanding and improving regression testing practice’, PhD Thesis, Blekinge Tekniska Högskola, 2022.

[8]                 O. Morales Chacón, ‘Studies on the Performance Bounds and Design of Current-Steering DACs’, PhD Thesis, Linköping University Electronic Press, 2022.

[9]                 M. Morin, ‘Fixed Point Iterations for Finite Sum Monotone Inclusions’, PhD Thesis, Department of Automatic Control, Lund University, 2022.

[10]              N. Rezk, ‘Deep Learning on the Edge: A Flexible Multi-level Optimization Approach’, PhD Thesis, Halmstad University Press, 2022.

[11]              J. Rodríguez Sánchez, ‘Systems with Massive Number of Antennas: Distributed Approaches’, PhD Thesis, Electrical and Information Technology, Lund University, 2022

[12]              R. Ros, ‘Understanding and Improving Continuous Experimentation: From A/B Testing to Continuous Software Optimization’, PhD Thesis, Department of Computer Science, Lund University, 2022.

[13]              J. Ruuskanen, ‘Dynamical Modeling of Cloud Applications for Runtime Performance Management’, PhD Thesis, Department of Automatic Control, Faculty of Engineering LTH, Lund University, 2022.

[14]              H. Sadeghi, ‘Efficient and Flexible First-Order Optimization Algorithms’, PhD Thesis, Department of Automatic Control, Lund University, 2022.

[15]              M. Umar Farooq, ‘Sparse Codes on Graphs with Convolutional Code Constraints’, PhD Thesis, Electrical and Information Technology, Lund University, 2022.

[16]              S. Willhammar, ‘Massive MIMO for Dependable Communication’, PhD Thesis, Faculty of Engineering, Lund University, 2022.

 

Proceedings edition

 

[1]                    K. Bouatouch, A. A. de Sousa, M. Chessa, A. Paljic, A. Kerren, C. Hurter, G. M. Farinella, P. Radeva, and J. Braz, ‘Computer Vision, Imaging and Computer Graphics Theory and Applications’, 15th International Joint Conference, VISIGRAPP 2020, Revised Selected Papers, 1st ed. Springer Nature, xxv+546pp., 2022.

[2]                    J. H. Cheon and T. Johansson, ‘Post-Quantum Cryptography’, 13th International Workshop, PQCrypto 2022, Virtual Event, September 28–30, 2022, Proceedings. Springer Nature, xi+523pp., 2022.

 

Chapters in books

 

[1]                    M. Felsberg, ‘Visual tracking: Tracking in scenes containing multiple moving objects’, in Advanced Methods and Deep Learning in Computer Vision, Elsevier, 2022, pp. 305–336.

[2]                    M. Gullberg, ‘Bimodal convergence: How languages interact in multicompetent language users’ speech and gestures’, in Gesture in language: Development across the lifespan – Development across the lifespan: Development across the lifespan, edited by A. Morgenstern and S. Goldin-Meadow, Eds., Mouton de Gruyter, 2022, pp. 317–333.

[3]                    M. Gullberg, ‘Studying multimodal language processing: The integration of speech and gestures’, in The Routledge handbook of second language acquisition and psycholinguistics, Routledge, 2022, pp. 137–149.

[4]                    M. Gullberg, ‘The relationship between gestures and speaking in L2 learning’, in The Routledge handbook on second language acquisition and speaking, M. J. M. edited by Tracey M. Derwing and R. I. Thomson, Eds., Routledge, 2022, pp. 386–398.

[5]                    D. Sörhammar, B. Tronvoll, and C. Kowalkowski, ‘Managing digital servitization: a service ecosystem perspective’, in Management and information technology after digital transformation, P. D. edited by Peter Ekman and C. Keller, Eds., Routledge, 2022, pp. 23–32.

[6]                    C. Åleskog, V. M. Devagiri, and V. Boeva, ‘A Graph-based Multi-view Clustering Approach for Continuous Pattern Mining’, in Recent Advancements in Multi-View Data Analytics, Springer Science+Business Media B.V., 2022, pp. 201–237.

 

Reports

 

[1]                    M. Andersson, D. Sjöberg, and G. Kristensson, ‘Stabilization of evanescent wave propagation operators’, Electromagnetic Theory Department of Electrical and Information Technology Lund University Sweden, 2022.

[2]                    D. Badampudi, ‘Student generated test questions’, Blekinge Tekniska Högskola, 2022.

[3]                    R. Bydler, A. Björkström, P. Fritzson, A. Gullberg, L. Schütt, and Y. Sundblad, ‘Omställning till ett hållbart transport- och mobilitetssystem med människan i centrum’, Linköping University Electronic Press, 2022.

[4]                    C. Collins, A. Fokkens, A. Kerren, C. Weaver, and A. Chatzimparmpas, ‘Visual Text Analytics: Report from Dagstuhl Seminar 22191’, Schloss Dagstuhl – Leibniz-Zentrum fuer Informatik GmbH, 2022.

[5]                    I. Fredriksson, V. Angelakis, D. Eriksson, L. Eriksson, D. Gundlegård, N. Lemon, J. Löwgren, R. Ringhdahl, and A. A. Sezer, ‘Störningsfri stad: slutrapport i projektet Visualiserad byggtrafikplanering för en störningsfri stadsutveckling’, Linköping University, 2022.

[6]                    M. Helali Moghadam, M. Borg, M. Saadatmand, S. J. Mousavirad, M. Bohlin, and B. Lisper, ‘Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing’, Mälardalen University, 2022.

[7]                    J. Linåker and P. Runeson, ‘Rekommendationer för samverkan och delning av data, teknik och kunskap inom myndighetsdrivna öppna data-ekosystem’, Department of Computer Science, Lund University, 2022.

[8]                    M. Rasmusson and B. Bernhardsson, ‘Activity Report 2021: Automatic Control, Lund University’, Department of Automatic Control, Lund University, 2022.

[9]                    D. Sjöberg, ‘Computation of radome reference cases using a rotationally symmetric full wave solver’, Electromagnetic Theory Department of Electrical and Information Technology Lund University Sweden, 2022.

[10]                 S. W. Card, A. Wiethuechter, R. Moskowitz, and A. Gurtov, ‘RFC 9153: Drone Remote Identification Protocol (DRIP) Requirements and Terminology’, 2022.

 

Books

 

[1]  A. Lindholm, N. Wahlström, F. Lindsten, and T. B. Schön, ‘Machine learning: a first course for engineers and scientists’, Cambridge University Press, xi+ 338pp., 2022.

 

 

Scientific peer-reviewed publications in refereed journals

 

[1]              T. Abrahamsson, M. Vagin, M. S. Seitanidou, A. Roy, J. Phopase, I. Petsagkourakis, N. Moro, K. Tybrandt, X. Crispin, M. Berggren, and D. T. Simon, ‘Investigating the role of polymer size on ionic conductivity in free-standing hyperbranched polyelectrolyte membranes’, Polymer, vol. 223, p. 123664. 2021.

[2]              A. I. Abrikosov, T. B. Masood, M. Falk, and I. Hotz, ‘Topological analysis of density fields: An evaluation of segmentation methods’, Computers & graphics, pp. 231–241. 2021.

[3]              G. Ahani, D. Yuan, and Y. Zhao, ‘Age-Optimal UAV Scheduling for Data Collection with Battery Recharging’, IEEE Communications Letters, vol. 25, no. 4, pp. 1254–1258. 2021.

[4]              S. P. Ahmadi, A. Hansson, and S. K. Pakazad, ‘Distributed localization using Levenberg-Marquardt algorithm’, EURASIP Journal on Advances in Signal Processing, vol. 2021, no. 1. 2021.

[5]              F. Ahmed, P. Ding, U. Ail, M. Warczak, A. Grimoldi, T. Ederth, K. Håkansson, M. Vagin, V. Gueskine, M. Berggren, and X. Crispin, ‘Manufacturing Poly(3,4-Ethylenedioxythiophene) Electrocatalytic Sheets for Large-Scale H2O2 Production’, Advanced Sustainable Systems, vol. 6, no. 1, p. 2100316. 2021.

[6]              N. Akbar, E. Björnson, N. Yang, and E. G. Larsson, ‘Max-Min Power Control in Downlink Massive MIMO With Distributed Antenna Arrays’, IEEE Transactions on Communications, vol. 69, no. 2, pp. 740–751. 2021.

[7]              J. V. Alegria, F. Rusek, and O. Edfors, ‘Trade-Offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition’, IEEE Transactions on Signal Processing, vol. 69, pp. 3627–3641. 2021.

[8]              J. Alenlöv, A. Doucet, and F. Lindsten, ‘Pseudo-Marginal Hamiltonian Monte Carlo’, Journal of machine learning research, vol. 22, 2021, [Online]. 2021.

[9]              H. Aliakbari Abar and B. K. Lau, ‘Low-band MIMO antenna for smartphones with robust performance to user interaction’, IEEE Antennas and Wireless Propagation Letters, vol. 20, no. 7, pp. 1195–1199. 2021.

[10]           H. Aliakbari Abar, L. Y. Nie, and B. K. Lau, ‘Large screen enabled tri-port MIMO handset antenna for low LTE bands’, IEEE Open Journal on Antennas and Propagation, vol. 2, pp. 911–920. 2021.

[11]           P. Anderberg, L. Abrahamsson, and J. Sanmartin Berglund, ‘An instrument for measuring social participation to examine older adults’ use of the internet as a social platform: Development and validation study’, JMIR Aging, vol. 4, no. 2, p. e23591. 2021.

[12]           O. Andersson, P. Doherty, M. Lager, J-O. Lindh, L. Persson, E. A. Topp, J. Tordenlid, and B. Wahlberg, ‘WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation’, Autonomous Intelligent Systems, vol. 1, no. 1. 2021.

[13]           S. Andric, L. Ohlsson Fhager, and L. E. Wernersson, ‘Millimeter-Wave Vertical III-V Nanowire MOSFET Device-To-Circuit Co-Design’, IEEE Transactions on Nanotechnology, vol. 20, pp. 434–440. 2021.

[14]           P. Anistratov, B. Olofsson, and L. Nielsen, ‘Lane-deviation penalty formulation and analysis for autonomous vehicle avoidance maneuvers’, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, vol. 235, no. 12, pp. 3036–3050. 2021.

[15]           M. Aramrattana, T. Larsson, C. Englund, J. Jansson, and A. Nåbo, ‘A Simulation Study on Effects of Platooning Gaps on Drivers of Conventional Vehicles in Highway Merging Situations’, IEEE transactions on intelligent transportation systems (Print), vol. 23, no. 4, pp. 3790–3796. 2021.

[16]           T. Arbring Sjöström, A. I. Ivanov, C. Bernard, K. Tybrandt, D. Poxson, D. T. Simon, and M. Berggren, ‘Design and Operation of Hybrid Microfluidic Iontronic Probes for Regulated Drug Delivery’, Advanced Materials Technologies, vol. 6, no. 2, p. 2001006. 2021.

[17]           A. Armgarth, S. Pantzare, P. Arven, R. Lassnig, H. Jinno, E. Gabrielsson, Y. H. Kifle, D. Cherian, T. Arbring Sjöström, G. Berthou, J. Dowling, T. Someya, J. Wikner, G. Gustafsson, D. Simon, and M. Berggren, ‘A digital nervous system aiming toward personalized IoT healthcare’, Scientific Reports, vol. 11, no. 1. 2021.

[18]           H. Arndt, J. Granfelt, and M. Gullberg, ‘Reviewing the potential of the Experience Sampling Method (ESM) for capturing second language exposure and use’, Second Language Research, p. 026765832110200. 2021.

[19]           D. Arnström, A. Bemporad, and D. Axehill, ‘Complexity Certification of Proximal-Point Methods for Numerically Stable Quadratic Programming’, IEEE Control Systems Letters, vol. 5, no. 4, pp. 1381–1386. 2021.

[20]           F. Aronsson, M. Kuhlmann, V. Jelic, and P. Ostberg, ‘Is cognitive impairment associated with reduced syntactic complexity in writing? Evidence from automated text analysis’, Aphasiology, vol. 35, no. 7, pp. 900–913. 2021.

[21]           A. Arvanitaki, N. Pappas, N. Carlsson, P. Mohapatra, and O. Burdakov, ‘Performance analysis of congestion-aware secure broadcast channels’, EURASIP Journal on Wireless Communications and Networking, vol. 2021, no. 1. 2021.

[22]           R. Athle, A. E. O. Persson, A. Irish, H. Menon, R. Timm, and M. Borg, ‘Effects of TiN Top Electrode Texturing on Ferroelectricity in Hf1-xZrxO2’, ACS applied materials & interfaces, vol. 13, no. 9, pp. 11089–11095. 2021.

[23]           A. Atserias, I. Bonacina, S. F. De Rezende, M. Lauria, J. Nordström, and A. Razborov, ‘Clique Is Hard on Average for Regular Resolution’, Journal of the ACM, vol. 68, no. 4, pp. 1–26. 2021.

[24]           F. Auer, R. Ros, L. Kaltenbrunner, P. Runeson, and M. Felderer, ‘Controlled experimentation in continuous experimentation: Knowledge and challenges’, Information and Software Technology, vol. 134, p. 106551. 2021.

[25]           I. Avgouleas, N. Pappas, and V. Angelakis, ‘A wireless caching helper system with heterogeneous traffic and random availability’, EURASIP Journal on Wireless Communications and Networking, vol. 2021, no. 1. 2021.

[26]           J. Bai, H. Song, Y. Yi, and L. Liu, ‘Multiagent Reinforcement Learning Meets Random Access in Massive Cellular Internet of Things’, IEEE Internet of Things Journal, vol. 8, no. 24, pp. 17417–17428. 2021.

[27]           S. Bartoletti, H. Wymeersch, T. Mach, O. Brunnegard, P. Hammarberg, F. Keskin, S. Modarres Razavi, J. Ronnblom, F. Tufvesson, J. Widmer, and N. Melazzi, D. Giustiniano, and J. O. Lacruz, ‘Positioning and Sensing for Vehicular Safety Applications in 5G and Beyond’, IEEE Communications Magazine, vol. 59, no. 11, pp. 15–21. 2021.

[28]           K. Bartoszek, W. Bartoszek, and M. Krzeminski, ‘Simple SIR models with Markovian control’, Japanese Journal of Statistics and Data Science, vol. 4, no. 1, pp. 731–762. 2021.

[29]           K. Bartoszek, T. M. Coronado, A. Mir, and F. Rossello, ‘Squaring within the Colless index yields a better balance index’, Mathematical Biosciences, vol. 331, p. 108503. 2021.

[30]           K. Bartoszek and T. Erhardsson, ‘Normal approximation for mixtures of normal distributions and the evolution of phenotypic traits’, Advances in Applied Probability, vol. 53, no. 1, pp. 162–188. 2021.

[31]           M. Bashar, H. Q. Ngo, K. Cumanan, A. G. Burr, P. Xiao, E. Björnson, and E. G. Larsson, ‘Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO With Optimal Uniform Quantization’, IEEE Transactions on Communications, vol. 69, no. 1, pp. 223–245. 2021.

[32]           M. Basso, A. Vinel, and E. Pignaton de Freitas, ‘An Application Layer Protocol to Support Cooperative Navigation of Multiple UAVs Systems’, Electronic Communications of the EASST, vol. 80. 2021.

[33]           M. Battaglioni, F. Chiaraluce, M. Baldi, and M. Lentmaier, ‘Girth Analysis and Design of Periodically Time-Varying SC-LDPC Codes’, IEEE Transactions on Information Theory, vol. 67, no. 4, pp. 2217–2235. 2021.

[34]           C. Bergeling, R. Pates, and A. Rantzer, ‘H-infinity Optimal Control for Systems with a Bottleneck Frequency’, IEEE Transactions on Automatic Control, vol. 66, no. 6, pp. 2732–2738. 2021.

[35]           K. Bergman, O. Ljungqvist, and D. Axehill, ‘Improved Path Planning by Tightly Combining Lattice-Based Path Planning and Optimal Control’, IEEE Transactions on Intelligent Vehicles, pp. 57–66. 2021.

[36]           C. Bernardo, L. Wang, F. Vasca, Y. Hong, G. Shi, and C. Altafini, ‘Achieving consensus in multilateral international negotiations: The case study of the 2015 Paris Agreement on climate change’, Science Advances, vol. 7, no. 51. 2021.

[37]           M. Boldt, S. Ickin, A. Borg, V. Kulyk, and J. Gustafsson, ‘Alarm prediction in cellular base stations using data-driven methods’, IEEE Transactions on Network and Service Management, vol. 18, no. 2, pp. 1925–1933. 2021.

[38]           A. Borg, M. Boldt, O. Rosander, and J. Ahlstrand, ‘E-mail classification with machine learning and word embeddings for improved customer support’, Neural Computing & Applications, vol. 33, no. 6, pp. 1881–1902. 2021.

[39]           M. Borg, ‘The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs’, Lecture Notes in Business Information Processing, vol. 404, pp. 66–77. 2021.

[40]           P. Boström-Rost, D. Axehill, and G. Hendeby, ‘Sensor management for search and track using the Poisson multi-Bernoulli mixture filter’, IEEE Transactions on Aerospace and Electronic Systems, pp. 2771–2783. 2021.

[41]           J. Brynolfsson, I. Reinhold, and M. Sandsten, ‘A time-frequency-shift invariant parameter estimator for oscillating transient functions using the matched window reassignment’, Signal Processing, vol. 183, p. 107913. 2021.

[42]           A. Budroni, Q. Guo, T. Johansson, E. Mårtensson, and P. S. Wagner, ‘Improvements on Making BKW Practical for Solving LWE’, Cryptography, vol. 5, no. 4, p. 31. 2021.

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[242]        S. Rico, E. Bjarnason, E. Engström, M. Höst, and P. Runeson, ‘A case study of industry–academia communication in a joint software engineering research project’, Journal of software: Evolution and Process, vol. 33, no. 10. 2021.

[243]        O. Rogovchenko, L. Ochel, A. Pop, P. Fritzson,N. Fors, G. Hedin, W. Taha, M. Sjölund and L. Buffoni, ‘Open Source Languages and Methods for Cyber-Physical System Development: Overview and Case Studies’, Electronics, vol. 10, no. 8, p. 902. 2021.

[244]        C. Romare, P. Enlöf, P. Anderberg, P. Jildenstål, J. Sanmartin Berglund, and L. Skär, ‘Nurse anesthetists’ experiences using smart glasses to monitor patients’ vital signs during anesthesia care: A qualitative study.’, PloS one, vol. 16, no. 4, p. e0250122. 2021.

[245]        P. Runeson, T. Olsson, and J. Linåker, ‘Open Data Ecosystems — An empirical investigation into an emerging industry collaboration concept’, Journal of Systems and Software, vol. 182, p. 111088. 2021.

[246]        J. Ruuskanen, T. Berner, K.-E. Årzén, and A. Cervin, ‘Improving the Mean-Field Fluid Model of Processor Sharing Queueing Networks for Dynamic Performance Models in Cloud Computing’, Performance Evaluation, vol. 151, p. 102231. 2021.

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[250]        M. Safavi and B. Landfeldt, ‘Energy-Efficient Stable and Balanced Task Scheduling in Data Centers’, IEEE Transactions on Sustainable Computing, vol. 6, no. 2, pp. 306–319. 2021.

[251]        I. Sahalianov, M. G. Say, O. Abdullaeva, F. Ahmed, E. Glowacki, I. Engquist, M. Berggren, and I. Zozoulenko, ‘Volumetric Double-Layer Charge Storage in Composites Based on Conducting Polymer PEDOT and Cellulose’, ACS Applied Energy Materials, vol. 4, no. 8, pp. 8629–8640. 2021.

[252]        J. M. Salt Ducajú, J. J. S. Llobregat, Á. Cuenca, and M. Tomizuka, ‘Autonomous ground vehicle lane-keeping LPV model-based control: Dual-rate state estimation and comparison of different real-time control strategies’, Sensors, vol. 21, no. 4, p. 1531. 2021.

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[293]        Y. Wahlquist, A. Gojak, and K. Soltesz, ‘Identifiability of pharmacological models for online individualization’, 11th IFAC Symposium on Biological and Medical Systems, pp. 25–30. 2021.

[294]        Y. Wahlquist, K. Soltesz, Q. Liao, X. Liu, H. Pigot, T. Sjöberg, and S. Steen, ‘Prevention of ischemic myocardial contracture through hemodynamically controlled DCD’, Cardiovascular Engineering and Technology, vol. 12, no. 5, pp. 485–493. 2021.

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Scientific peer- reviewed conference papers

 

[1]              O. Aeddula, J. Flyborg, T. Larsson, P. Anderberg, J. Sanmartin Berglund, and S. Renvert, ‘A Solution with Bluetooth Low Energy Technology to Support Oral Healthcare Decisions for improving Oral Hygiene’, in ACM International Conference Proceeding Series, 2021, pp. 134–139. 2021.

[2]              S. P. Ahmadi and A. Hansson, ‘A Distributed Second-Order Augmented Lagrangian Method for Distributed Model Predictive Control’, in IFAC PAPERSONLINE, 2021, pp. 192–199. 2021.

[3]              A. Ahmadian and F. Lindsten, ‘Likelihood-free Out-of-Distribution Detection with Invertible Generative Models’, in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021). 2021.

[4]              M. Ahrnbom, M. Nilsson, and H. Ardö, ‘Real-Time and Online Segmentation Multi-Target Tracking with Track Revival Re-Identification’, in Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021, vol. 5, pp. 777–784. 2021.

[5]              M. Ahrnbom, M. Nilsson, H. Ardö, K. Åström, O. Yastremska-Kravchenko, and A. Laureshyn, ‘Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications’, in 2020 25th International Conference on Pattern Recognition, pp. 103–110. 2021.

[6]              F. Akbarian, W. Tärneberg, E. Fitzgerald, and M. Kihl, ‘A Security Framework in Digital Twins for Cloud-based Industrial Control Systems: Intrusion Detection and Mitigation’, in 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 2021.

[7]              F. Akbarian, W. Tärneberg, E. Fitzgerald, and M. Kihl, ‘Demonstration: A cloud-control system equipped with intrusion detection and mitigation’, in The Conference on Networked Systems (NetSys 2021). 2021.

[8]              J. V. Alegría, F. Rusek, J. R. Sánchez, and O. Edfors, ‘Modular binary tree architecture for distributed large intelligent surface’, in IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021, pp. 4865–4869. 2021.

[9]              E. Alégroth, E. Borch Petersen, and J. Tinnerholm, ‘A Failed attempt at creating Guidelines for Visual GUI Testing: An industrial case study’, in Proceedings – 2021 IEEE 14th International Conference on Software Testing, Verification and Validation, ICST 2021, 2021, pp. 340–350. 2021.

[10]           H. Aliakbari Abar and B. K. Lau, ‘On user effects of a low-profile MIMO terminal antenna with wideband multimodal excitation’, in 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021, pp. 1245–1246. 2021.

[11]           M. Alutto, G. Como, and F. Fagnani, ‘On SIR epidemic models with feedback-controlled interactions and network effects’, in 2021 60th IEEE Conference on Decision and Control (CDC), pp. 5562–5567. 2021.

[12]           S. M. Alvarez Fernandez, M. Marinho, M. Vakilzadeh, and A. Vinel, ‘Highway On-Ramp Merging for Mixed Traffic: Recent Advances and Future Trends’, in 2021 IEEE 29th International Conference on Network Protocols (ICNP). 2021.

[13]           S. Andric, L. Ohlsson-Fhager, and L. E. Wernersson, ‘Design of III-V Vertical Nanowire MOSFETs for Near-Unilateral Millimeter-Wave Operation’, in 15th European Microwave Integrated Circuits Conference, EuMIC 2020, pp. 85–88. [Online]. 2021.

[14]           M. Anwar, A. Borg, and L. Lundberg, ‘A comparison of Unsupervised Learning Algorithms for Intrusion Detection in IEC 104 SCADA Protocol’, in Proceedings – International Conference on Machine Learning and Cybernetics. 2021.

[15]           D. Aranha, E. Pagnin, and F. Hernàndez-Rodriguez, ‘LOVE a Pairing’, in 7th International Conference on Cryptology and Information Security in Latin America, LATINCRYPT 2021, pp. 320–340. 2021.

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[242]        I. Turcanu, A. Baiocchi, N. Lyamin, and A. Vinel, ‘An Age-Of-Information Perspective on Decentralized Congestion Control in Vehicular Networks’, in 2021 19th Mediterranean Communication and Computer Networking Conference (MedComNet). 2021.

[243]        S. Tzamaras, S. Adam, and W. Taha, ‘Intelligent Techniques and Hybrid Systems Experiments Using the Acumen Modeling and Simulation Environment’, in IFIP Advances in Information and Communication Technology, 2021, pp. 531–542. 2021.

[244]        W. Tärneberg, P. Skarin, C. Gehrmann, and M. Kihl, ‘Prototyping intrusion detection in an industrial cloud-native digital twin’, in 2021 22nd IEEE International Conference on Industrial Technology (ICIT). 2021.

[245]        F. Valle, M. Cooney, K. Mikhaylov, and A. Vinel, ‘The integration of UAVs to the C-ITS Stack’, in 2021 IEEE 29th International Conference on Network Protocols (ICNP). 2021.

[246]        F. Valle, A. Galozy, A. Ashfaq, K. Etminani, A. Vinel, and M. Cooney, ‘Lonely Road: speculative challenges for a social media robot aimed to reduce driver loneliness’, in Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media. 2021.

[247]        F. Valle, A. Vinel, and M. Erneberg, ‘Traffic Light Priority in NordicWay’, in Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2021, 2021, pp. 49–55. 2021.

[248]        S. Vercammen, S. Demeyer, M. Borg, and R. Claessens, ‘Flaky mutants; Another concern for mutation testing’, in Proceedings – 2021 IEEE 14th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2021, 2021, pp. 284–285. 2021.

[249]        J. Vieira and E. G. Larsson, ‘Reciprocity calibration of Distributed Massive MIMO Access Points for Coherent Operation’, in 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021, pp. 783–787. 2021.

[250]        N. Vreman, A. Cervin, and M. Maggio, ‘Stability and Performance Analysis of Control Systems Subject to Bursts of Deadline Misses’, in 33rd Euromicro Conference on Real-Time Systems (ECRTS 2021). 2021.

[251]        K. Vrotsou and W. Glad, ‘Visualizing thermal comfort in residential passive house designs’, in Proceedings of the Twelfth ACM International Conference on Future Energy Systems (e-Energy ’21). Association for Computing Machinery, pp. 412–416. 2021.

[252]        T. T. Vu, H. Q. Ngo, D. T. Ngo, M. N. Dao, and E. G. Larsson, ‘Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups’, in 2021 IEEE Global Communications Conference (GLOBECOM). 2021.

[253]        J. Wang, M. Maggio, and V. Magron, ‘SparseJSR: A fast algorithm to compute joint spectral radius via sparse SOS decompositions’, in American Control Conference. 2021. [Online]. 2021.

[254]        L. Wang, C. Bernardo, Y. Hong, E. Vasca, G. Shi, and C. Altafini, ‘Achieving consensus in spite of stubbornness: time-varying concatenated Friedkin-Johnsen models’, in 2021 60TH IEEE Conference on Decision and Control (CDC), 2021, pp. 4964–4969. 2021.

[255]        T. Westny, E. Frisk, and B. Olofsson, ‘Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques’, in 24th IEEE International Intelligent Transportation Systems Conference (ITSC), pp. 2003–2010. 2021.

[256]        D. Widmann, F. Lindsten, and D. Zachariah, ‘Calibration tests beyond classification’. 2021. [Online]. 2021.

[257]        D. Witschard, I. Jusufi, and A. Kerren, ‘SimBaTex: Similarity-based Text Exploration’, in Posters of the 23rd EG/VGTC Conference on Visualization (EuroVis ’21), 2021, pp. 5–7. 2021.

[258]        D. Wuthier, F. Rovida, M. Fumagalli, and V. Krüger, ‘Productive Multitasking for Industrial Robots’, in 2021 IEEE International Conference on Robotics and Automation, ICRA 2021, pp. 12654–12661. 2021.

[259]        I. Yaman, A. Andersen, L. Ferreira, and J. Rodrigues, ‘FLoPAD-GRU : A Flexible, Low Power, Accelerated DSP for Gated Recurrent Unit Neural Network’, in 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2021. 2021.

[260]        Z. Ying, O. Zander, M. Chung, L. Liu, and F. Tufvesson, ‘Antenna Designs for a Milimeter Wave Massive MIMO Testbed with Hybrid Beamforming’, in 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021, pp. 1241–1242. 2021.

[261]        Z. Yu and D. Yuan, ‘On Resource Optimization in Multi-IRS-assisted and Interference-coupled Multi-cell Systems’, in 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021, pp. 1408–1412. 2021.

[262]        A. Zakeri, M. Moltafet, M. Leinonen, and M. Codreanu, ‘Minimizing AoI in Resource-Constrained Multi-Source Relaying Systems with Stochastic Arrivals’, in 2021 IEEE Global Communications Conference (GLOBECOM). 2021.

[263]        Y. Zhou, S. Samii, P. I. Eles, and Z. Peng, ‘ASIL-Decomposition BASIL-Decomposition Based Routing and Scheduling in Safety-Critical Time-Sensitive Networking’. 2021.

[264]        H. Zhu, J. Rodríguez-Piñeiro, T. Domınguez-Bolano, X. Cai, and X. Yin, ‘Affordable Quality of Service Assessment for Cellular-Connected UAV Communications’, in Seventeenth International Conference on Wireless and Mobile Communications. 2021.

[265]        H. Zhu and C. Gehrmann, ‘AppArmor Profile Generator as a Cloud Service’, in 11th International Conference on Cloud Computing and Services Science, CLOSER 2021, pp. 45–55. 2021.

[266]        M. Zhu, D. G. M. Mitchell, M. Lentmaier, and D. J. Costello Jr., ‘Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes’, in International Symposium on Information Theory and Its Applications (ISITA 2020), pp. 175–179. [Online]. 2021.

[267]        M. Zhu, D. G. M. Mitchell, M. Lentmaier, and D. J. Costello, ‘Adaptive doping of spatially coupled LDPC codes’, in 2020 IEEE Information Theory Workshop, ITW 2020. 2021.

[268]        K. Åström, M. Larsson, G. Flood, and M. Oskarsson, ‘Extension of Time-Difference-of-Arrival Self Calibration Solutions Using Robust Multilateration’, in 29th European Signal Processing Conference, EUSIPCO 2021, pp. 870–874. 2021.

[269]        M. V. Örnhag, J. P. L. Iglesias, and C. Olsson, ‘Bilinear Parameterization for Non-Separable Singular Value Penalties’, in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, pp. 3896–3905. 2021.

[270]        M. V. Örnhag, P. Persson, M. Wadenbäck, K. Aström, and A. Heyden, ‘Minimal solvers for indoor UAV positioning’, in 25th International Conference on Pattern Recognition, ICPR 2020, pp. 1136–1143. 2021.

Licentiate theses

 

[1]              D. Arnström, ‘On Complexity Certification of Active-Set QP Methods with Applications to Linear MPC’, Licentiate Thesis, Linköping University Electronic Press, Linköping. 2021.

[2]              S. Chamideh, ‘Safe and Robust Autonomous Intersection Management Methods’, Licentiate Thesis, Lund University. 2021.

[3]              H. Haghshenas, ‘Time-Optimal Cooperative Path Tracking for Multi-Robot Systems’, Licentiate Thesis, Linköping University Electronic Press. 2021.

[4]              D. Helgesson, ‘Exploring grounded theory perspectives of cognitive load in software engineering’, Licentiate Thesis, Lund University. 2021.

[5]              Kullberg, ‘On Joint State Estimation and Model Learning using Gaussian Process Approximations’, Licentiate Thesis, Linköping University Electronic Press, Linköping. 2021.

[6]              K. Nielsen, ‘Robust LIDAR-Based Localization in Underground Mines’, Licentiate Thesis, Linköping University Electronic Press, Linköping. 2021.

[7]              H. Peng, ‘Integration of Clouds to Industrial Communication Networks’, Licentiate Thesis, Lund University. 2021.

[8]              G. Smpokos, ‘Performance Analysis in Wireless HetNets: Traffic, Energy, and Secrecy Considerations’, Licentiate Thesis, Linköping University Electronic Press, Linköping. 2021.

PhD theses

 

[1]              S. Andric, ‘III-V Nanowire MOSFET High-Frequency Technology Platform’, PhD Thesis, Department of Electrical and Information Technology, Lund University. 2021.

[2]              I. Arvidsson, ‘Applications of Deep Learning in Medical Image Analysis: Grading of Prostate Cancer and Detection of Coronary Artery Disease’, PhD Thesis, Lund University / Centre for Mathematical Sciences /LTH. 2021.

[3]              K. Bergman, ‘Exploiting Direct Optimal Control for Motion Planning in Unstructured Environments’, PhD Thesis, Linköping University Electronic Press, Linköping. 2021.

[4]              A. Eldesokey, ‘Uncertainty-Aware Convolutional Neural Networks for Vision Tasks on Sparse Data’, PhD Thesis, Linköping University Electronic Press. 2021.

[5]              G. Flood, ‘Mapping and Merging Using Sound and Vision: Automatic Calibration and Map Fusion with Statistical Deformations’, PhD Thesis, Lund University / Centre for Mathematical Sciences /LTH. 2021.

[6]              E. Fountoulakis, ‘Performance and Optimization Aspects of Time Critical Networking’, PhD Thesis, Linköping University Electronic Press. 2021.

[7]              A. Ghazanfari, ‘Multi-Cell Massive MIMO: Power Control and Channel Estimation’, PhD Thesis, Linköping University Electronic Press. 2021.

[8]              M. Greiff, ‘Nonlinear Control of Unmanned Aerial Vehicles: Systems with an Attitude’, PhD Thesis, Department of Automatic Control, Lund University. 2021.

[9]              M. Irshad, ‘Realizing the systematic reuse of automated acceptance tests in practice’, PhD Thesis, Blekinge Tekniska Högskola, Karlskrona. 2021.

[10]           F. Järemo Lawin, ‘Learning Representations for Segmentation and Registration’, PhD Thesis, Linköping University Electronic Press. 2021.

[11]           A. Jönsson, ‘Vertical Heterostructure III-V MOSFETs for CMOS, RF and Memory Applications’, PhD Thesis, Electrical and Information Technology, Lund University. 2021.

[12]           Z. Li, ‘3D Human Pose and Shape Estimation Based on Parametric Model and Deep Learning’, PhD Thesis, Lund University / Centre for Mathematical Sciences /LTH. 2021.

[13]           J. Lundgren, ‘Design of Functional Structures and Measurement Techniques for Electromagnetic Waves’, PhD Thesis, Department of Electrical and Information Technology, Lund University. 2021.

[14]           F. Moradi, ‘Improving DRX Performance for Emerging Use Cases In 5G’, PhD Thesis, Department of Electrical and Information Technology, Lund University. 2021.

[15]           G. Nayak-Seetanadi, ‘Improving Performance of Feedback-Based Real-Time Networks using Model Checking and Reinforcement Learning’, PhD Thesis, Department of Automatic Control, Lund University. 2021.

[16]           A. Pirinen, ‘Reinforcement Learning for Active Visual Perception‘, PhD Thesis, Centre for Mathematical Sciences, Lund University. 2021.

[17]           C. Tatino, ‘Analysis and Optimization for Robust Millimeter-Wave Communications’, PhD Thesis, Linköping University Electronic Press. 2021.

[18]           M. Valtonen Örnhag, ‘Robust Estimation of Motion Parameters and Scene Geometry: Minimal Solvers and Convexification of Regularisers for Low-Rank Approximation’, PhD Thesis, Lund University, Faculty of Engineering. 2021.

[19]           J. Yang, ‘Contributions to Confidentiality and Integrity Algorithms for 5G‘, PhD Thesis, Department of Electrical and Information Technology, Lund University. 2021.

[20]           A. Åkesson, ‘ComPOS – a Domain-Specific Language for Composing Internet-of-Things Systems’, PhD Thesis, Computer Science, Lund University. 2021.

 

Proceedings edition

 

[1]              M. Sjölund, L. Buffoni, A. Pop, and L. Ochel, Proceedings of 14th Modelica Conference 2021. Linköping University Electronic Press. 2021.

 

Chapters in books

 

[1]              S. Buss and J. Nordström, ‘Proof complexity and SAT solving’, in Handbook of Satisfiability: Second Edition – Second Edition: Second Edition, IOS Press, 2021, pp. 233–350. 2021.

[2]              W. Engelke, T. B. Masood, J. Beran, R. Caballero, and I. Hotz, ‘Topology-Based Feature Design and Tracking for Multi-center Cyclones’, in Topological Methods in Data Analysis and Visualization VI: Theory, Applications, and Software, J. Tierny. edited by Ingrid Hotz Talha Bin Masood, Filip Sadlo, Ed. Springer, 2021, pp. 71–85. 2021.

[3]              M. Gullberg, ‘Gesture and second/foreign language acquisition’, in The Cambridge handbook of gesture studies, bearb von H. von Aulock, Ed. Cambridge University Press, 2021. [Online]. 2021.

[4]              K. Haneda, R. Rudd, E. Vitucci, D. He, P. Kyösti, F. Tufvesson, S. Salous, Y. Miao, W. Joseph, and E. Tanghe, ‘Radio propagation modeling methods and tools’, in Inclusive Radio Communications for 5G and Beyond, ScienceDirect, Elsevier, 2021, pp. 7–48. 2021.

[5]              A. Kerren and W. Löwe, ‘Visualisering och bildbehandling’, in Medicinisk Informatik, M. R. och A. T. [red.]. Göran Petersson, Ed. Liber, 2021, pp. 95–110. [Online]. 2021.

[6]              C. Kowalkowski, D. Sörhammar, and B. Tronvoll, ‘Digital servitization: How manufacturing firms can enhance resource integration and drive ecosystem transformation’, in The Palgrave Handbook of Servitization, Palgrave Macmillan, 2021, pp. 27–39. [Online]. 2021.

[7]              T. B. Masood and I. Hotz, ‘Continuous Histograms for Anisotropy of 2D Symmetric Piece-wise Linear Tensor Fields’, in Anisotropy Across Fields and Scales, Springer, 2021, pp. 39–70. 2021.

[8]              M. Nedic, C. Ehrenborg, Y. Ivanenko, A. Ludvig-Osipov, S. Nordebo, A. Luger, L. Jonsson, D. Sjöberg and M. Gustafsson, ‘Herglotz functions and applications in electromagnetics’, in Advances in Mathematical Methods for Electromagnetics, P. D. Smith. edited by Kazuya Kobayashi, Ed. Institution of Engineering and Technology (IET), 2021, pp. 491–514. 2021.

[9]              D. Sörhammar, B. Tronvoll, and C. Kowalkowski, ‘Managing digital servitization: a service ecosystem perspective’, in Management and Information Technology after Digital Transformation, P. D. edited by Peter Ekman and C. Keller, Eds. Routledge, 2021, pp. 23–32. [Online]. 2021.

[10]           B. Tronvoll, C. Kowalkowski, and D. Sörhammar, ‘Transforming small and medium-sized enterprises (SMEs) to digitally enabled landscapes’, in Big Data in Small Business: Data-driven Growth in Small and Medium-sized Enterprises, Edward Elgar Publishing, 2021, pp. 211–227. [Online]. 2021.

[11]           K. Witrisal, C. Anton-Haro, S. Grebien, W. Joseph, E. Leitinger, X. Li, J. A. Del Peral-Rosado, D. Plets, J. Vila-Valls, and T. Wilding, ‘Localization and tracking’, in Inclusive Radio Communications for 5G and Beyond, Academic Press, 2021, pp. 253–293. 2021.

[12]           A. Ynnerman, P. Ljung, A. Persson, and D. Jönsson, ‘Multi-Touch Surfaces and Patient-Specific Data’, in Digital Anatomy: Applications of Virtual, Mixed and Augmented Reality, P. F. Campos. edited by Jean-François Uhl Joaquim Jorge, Daniel Simões Lopes, Ed. Springer, 2021, pp. 223–242. 2021.

 

Reports

 

[1]              D. Sjöberg and M. Gustafsson, ”Kretsteori, ellära och elektronik. Elektro- och informationsteknik”, Lund University, 2021. [Online]. 2021.

 

Books

 

[1]              S. Holmbring and J. Wikner, Elektronism: en flerårig resa genom tolv månader. [Staffan Holmström & J Jacob Wikner], 2021. [Online]. 2021.

[2]              I. Hotz, T. B. Masood, F. Sadlo, and J. Tierny, “Topological Methods in Data Analysis and Visualization VI: Theory, Applications, and Software.” Springer Nature. 2021.

[3]              D. Kindström, C. Kowalkowski, and A. Parment, Business marketing: managing value creation. Studentlitteratur AB, 2021. [Online]. 2021.

[4]              L. Ljung, T. Glad, and A. Hansson, Modeling and identification of dynamic systems. Studentlitteratur, 2021. [Online]. 2021.

[5]              F. McGee, M. Ghoniem, B. Otjacques, B. Renoust, D. Archambault, A. Kerren, B. Pinaud, G. Melancon, M. Pohl, and T. Landesberger, Visual Analysis of Multilayer Networks, vol. 8. Morgan & Claypool Publishers. 2021.

 

Scientific peer-reviewed publications in refereed journals

 

[1]               M. A. Abd-Elmagid, H. S. Dhillon, and N. Pappas, “AoI-Optimal Joint Sampling and Updating for Wireless Powered Communication Systems,” IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 14110-14115. 2020.

[2]               M. A. Abd-Elmagid, H. S. Dhillon, and N. Pappas, “A Reinforcement Learning Framework for Optimizing Age of Information in RF-Powered Communication Systems,” IEEE Transactions on Communications, vol. 68, no. 8, pp. 4747-4760. 2020.

[3]               T. Abdelzaher, Y. Hao, K. Jayarajah, A. Misra, P. Skarin, S. Yao, D. Weerakoon, and K.-E. Årzén, “Five Challenges in Cloud-Enabled Intelligence and Control,” ACM Transactions on Internet Technology, vol. 20, no. 1, pp. 1-19. 2020.

[4]               S. Aghanavesi, H. Fleyeh, and M. Dougherty, “Feasibility of Using Dynamic Time Warping to Measure Motor States in Parkinson’s Disease,” Journal of Sensors, pp. 1-14. 2020.

[5]               D. Agnoletto, M. Jonsson, and E. Pignaton de Freitas, “Time Slot Transmission Scheme with Packet Prioritization for Bluetooth Low Energy Devices Used in Real-Time Applications,” International Journal of Wireless Information Networks, vol. 27, no. 4, pp. 518-534. 2020.

[6]               G. Ahani, P. Wiatr, and D. Yuan, “Routing and Scheduling of Network Flows with Deadlines and Discrete Capacity Allocation,” Networks, vol. 76, no. 1, pp. 54-74. 2020.

[7]               G. Ahani and D. Yuan, “Optimal Scheduling of Content Caching Subject to Deadline,” IEEE Open Journal of the Communications Society, pp. 293-307. 2020.

[8]               I. Ahmad, S. Shahabuddin, H. Malik, E. Harjula, T. Leppanen, L. Loven, A. Anttonen, A. H. Sodhro, M. Mahtab Alam, M. Juntti, A. Yla-Jaaski, T. Sauter, A. Gurtov, M. Ylianttila, and J. Riekki, “Machine Learning Meets Communication Networks: Current Trends and Future Challenges,” IEEE Access, vol. 8, pp. 223418-223460. 2020.

[9]               H. Akhlaghpasand, E. Björnson, and S. M. Razavizadeh, “Jamming Suppression in Massive MIMO Systems,” IEEE Transactions on Circuits and Systems – II – Express Briefs, vol. 67, no. 1, pp. 182-186. 2020.

[10]           H. Akhlaghpasand, E. Björnson, and S. M. Razavizadeh, “Jamming-Robust Uplink Transmission for Spatially Correlated Massive MIMO Systems,” IEEE Transactions on Communications, vol. 68, no. 6, pp. 3495-3504. 2020.

[11]           S. A. Alam and O. Gustafsson, “Improved Particle Filter Resampling Architectures,” Journal of Signal Processing Systems, vol. 92, no. 6, pp. 555-568. 2020.

[12]           E. Alégroth, T. Gorschek, K. Petersen, and M. Mattsson, “Characteristics That Affect Preference of Decision Models for Asset Selection: An Industrial Questionnaire Survey,” Software quality journal, pp. 1675-1707. 2020.

[13]           H. Aliakbari Abar and B. K. Lau, “Low-Profile Two-Port MIMO Terminal Antenna for Low LTE Bands with Wideband Multimodal Excitation,” IEEE Open Journal on Antennas and Propagation, vol. 1, pp. 368-378. 2020.

[14]           C. Altafini, “A System-Theoretic Framework for Privacy Preservation in Continuous-Time Multiagent Dynamics,” Automatica, vol. 122, p. 109253. 2020.

[15]           D. I. Alves, B. Palm, M. Pettersson, V. T. Vu, R. Machado, B. F. Uchoa-Filho, P. Dammert, and H. Hellsten, “A Statistical Analysis for Wavelength-Resolution SAR Image Stacks,” IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 2, pp. 227-231. 2020.

[16]           D. I. Alves, B. G. Palm, H. Hellsten, V. T. Vu, M. Pettersson, R. Machado, B. F. Uchoa-Filho, and P. Dammert, “Wavelength-Resolution SAR Change Detection Using Bayes’ Theorem,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 5560-5568. 2020.

[17]           D. Anaby, K. Vrotsou, U. Kroksmark and K. Ellegård, “Changes in Participation Patterns of Youth with Physical Disabilities Following the Pathways and Resources for Engagement and Participation Intervention: A Time-Geography Approach,” Scandinavian Journal of Occupational Therapy, vol. 27, no. 5, pp. 364-372. 2020.

[18]           G. Andersson, K. Vrotsou, A. Denhov, A. Topor, P. Bulow, K. Ellegård, and P. Bülow, “A Diversity of Patterns: 10-Year Trajectories of Men and Women Diagnosed with Psychosis for the First Time. A Time-Geographic Approach,” Moravian Geographical Reports, pp. 283-298. 2020.

[19]           L. Andersson, J. Wilk, L. P. Graham, J. Wikner, S. Mokwatlo, and B. Petja, “Local Early Warning Systems for Drought – Could They Add Value to Nationally Disseminated Seasonal Climate Forecasts?,” Weather and Climate Extremes, vol. 28, p. 100241. 2020.

[20]           P. Andersson, T. Akenine-Möller, J. Nilsson, K. Åström, M. Oskarsson, and M. Fairchild, “Flip: A Difference Evaluator for Alternating Images,” Proceedings of the ACM in Computer Graphics and Interactive Techniques, vol. 3, no. 2. 2020.

[21]           P. Angelov and M. Nielsen Lönn, “A Fully Integrated Multilevel Synchronized-Switch-Harvesting-on-Capacitors Interface for Generic Pehs,” IEEE Journal of Solid-State Circuits, vol. 55, no. 8, pp. 2118-2128. 2020.

[22]           M. Aramrattana, T. Larsson, C. Englund, J. Jansson, A. Nåbo, T. Larsson, J. Jansson, A. Nabo, and M. Aramrattana, “A Simulation Study on Effects of Platooning Gaps on Drivers of Conventional Vehicles in Highway Merging Situations,” IEEE transactions on intelligent transportation systems (Print), pp. 1-7. 2020.

[23]           D. Arnström and D. Axehill, “Exact Complexity Certification of an Early-Terminating Standard Primal Active-Set Method for Quadratic Programming,” in IFAC PapersOnLine, p. 6509-6515. 2020.

[24]           D. Arnström, A. Bemporad, and D. Axehill, “Exact Complexity Certification of a Nonnegative Least-Squares Method for Quadratic Programming,” IEEE Control Systems Letters, vol. 4, no. 4, pp. 1036-1041. 2020.

[25]           F. Aronsson, M. Kuhlmann, V. Jelic, and P. Ostberg, “Is Cognitive Impairment Associated with Reduced Syntactic Complexity in Writing? Evidence from Automated Text Analysis,” Aphasiology, pp. 1-14. 2020. ‘

[26]           A. Arvanitaki, N. Pappas, P. Mohapatra, and N. Carlsson, “Delay Performance of a Two-User Broadcast Channel with Security Constraints,” SN Computer Science, vol. 1, no. 1. 2020.

[27]           M. Asplund, “Combining Detection and Verification for Secure Vehicular Cooperation Groups,” ACM Transactions on Cyber-Physical Systems, vol. 4, no. 1, pp. 1-31. 2020.

[28]           E. Backman, D. Barker, and E. Backman, “Re-Thinking Pedagogical Content Knowledge for Physical Education Teachers: Implications for Physical Education Teacher Education,” Physical Education and Sport Pedagogy, vol. 25, no. 5, pp. 451-463. 2020.

[29]           E. Backman, G. Nyberg, and H. Larsson, “Moving Beyond Rigid Orthodoxies in the Teaching and Assessment of Movement in Swedish Physical Education Teacher Education: A Student Perspective,” European Physical Education Review, vol. 26, no. 1, pp. 111-127. 2020.

[30]           R. Bagger and H. Sjöland, “A 20-Ghz Bandwidth Power Amplifier for Phased Array 5G New Radio Transmitters,” IEEE Solid-State Circuits Letters, vol. 3, pp. 302-305. 2020.

[31]           M. Barzegaran, A. Cervin, and P. Pop, “Performance Optimization of Control Applications on Fog Computing Platforms Using Scheduling and Isolation,” IEEE Access, vol. 8, pp. 104085-104098. 2020.

[32]           E. Becirovic, E. Björnson, and E. G. Larsson, “Joint Antenna Detection and Bayesian Channel Estimation for Non-Coherent User Terminals,” IEEE Transactions on Wireless Communications, vol. 19, no. 11, pp. 7081-7096. 2020.

[33]           E. L. Bengtsson, F. Rusek, O. Edfors, F. Tufvesson, and P. C. karlsson, “Simulation of Multiple-Antenna Terminal Performance in Massive MIMO Systems Based on Indoor Measurements,” IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 418-427. 2020.

[34]           C. Bergeling, K. A. Morris, and A. Rantzer, “Closed-Form H-Infinity Optimal Control for a Class of Infinite-Dimensional Systems,” Automatica, vol. 117, p. 108916. 2020.

[35]           S. Bergman, M. Asplund, and S. Nadjm-Tehrani, “Permissioned Blockchains and Distributed Databases: A Performance Study,” Concurrency and Computation, vol. 32, no. 12. 2020.

[36]           E. Billing, T. Belpaeme, H. Cai, H.-L. Cao, A. Ciocan, C. Costescu, D. David, R. Homewood, D. Hernandez Garcia, P. Gomez Esteban, H. Liu, V. Nair, S. Matu, A. Mazel, M. Selescu, E. Senft, S. Thill, B. Vanderborght, D. Vernon, T. Ziemke, D. H. Garcia, and P. G. Esteban, “The Dream Dataset: Supporting a Data-Driven Study of Autism Spectrum Disorder and Robot Enhanced Therapy,” PLOS ONE, vol. 15, no. 8, p. e0236939. 2020.

[37]           E. Björnson, and P. Giselsson, “Two Applications of Deep Learning in the Physical Layer of Communication Systems [Lecture Notes],” IEEE Signal Processing Magazine, vol. 37, no. 5, pp. 134-140. 2020.

[38]           E. Björnson and L. Sanguinetti, “Scalable Cell-Free Massive MIMO Systems,” IEEE Transactions on Communications, vol. 68, no. 7, pp. 4247-4261. 2020.

[39]           E. Björnson and L. Sanguinetti, “Power Scaling Laws and near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces,” IEEE Open Journal of the Communications, vol. 1, pp. 1306-1324. 2020.

[40]           E. Björnson and L. Sanguinetti, “Making Cell-Free Massive MIMO Competitive with MMSE Processing and Centralized Implementation,” IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 77-90. 2020.

[41]           E. Björnson, Ö. Özdogan, and E. G. Larsson, “Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions,” IEEE Communications Magazine, vol. 58, no. 12, pp. 90-96. 2020.

[42]           E. Björnson, Ö. Özdogan, and E. G. Larsson, “Intelligent Reflecting Surface Versus Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?,” IEEE Wireless Communications Letters, vol. 9, no. 2, pp. 244-248. 2020.

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[150]       E. Moggi, W. Taha, and J. Thunberg, “Sound over-Approximation of Probabilities,” Acta Cybernetica, pp. 269-285. 2020.

[151]       N. Mohammadi Sarband, O. Gustafsson, and M. Garrido Gálvez, “Using Transposition to Efficiently Solve Constant Matrix-Vector Multiplication and Sum of Product Problems,” Journal of Signal Processing Systems, vol. 92, no. 10, pp. 1075-1089. 2020.

[152]       A. Molinaro, C. Campolo, J. Härri, C. E. Rothenberg, and A. Vinel, “5G-V2x Communications and Networking for Connected and Autonomous Vehicles,” Future Internet, vol. 12, no. 7, p. 116. 2020.

[153]       J. S. Molléri, K. Petersen, and E. Mendes, “An Empirically Evaluated Checklist for Surveys in Software Engineering,” Information and Software Technology, vol. 119, p. 106240. 2020.

[154]       F. Moradi, E. Fitzgerald, and B. Landfeldt, “Modeling DRX for D2D Communication,” IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2574-2584. 2020.

[155]       F. Moradi, E. Fitzgerald, M. Pioro, and B. Landfeldt, “Flexible DRX Optimization for LTE and 5G,” IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 607-621. 2020.

[156]       E. Mourão, J. F. N. Pimentel, L. G. P. Murta, M. Kalinowski, E. Mendes, and C. Wohlin, “On the Performance of Hybrid Search Strategies for Systematic Literature Reviews in Software Engineering,” Information and Software Technology, vol. 123, p. 106294. 2020.

[157]        A. J. Muhammed, Z. Ma, Z. Zhang, P. Fan, and E. G. Larsson, “Energy-Efficient Resource Allocation for Noma Based Small Cell Networks with Wireless Backhauls,” IEEE Transactions on Communications, vol. 68, no. 6, pp. 3766-3781. 2020.

[158]       K. Y. Ng, E. Frisk, M. Krysander, and L. Eriksson, “A Realistic Simulation Testbed of a Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies,” IEEE Control Systems Magazine, vol. 40, no. 2, pp. 56-83. 2020.

[159]       Q. Ngo, A. Ashikhmin, H. Yang, E. G. Larsson, and T. L. Marzetta, “Correction: Cell-Free Massive MIMO Versus Small Cells (Vol 16, Pg 1834, 2017),” IEEE Transactions on Wireless Communications, vol. 19, no. 5, pp. 3623-3624. 2020.

[160]       V. Nhan Vo, H. V. Tran, V.-L. Dao, C. So-In, D. D. Tran, and E. Uhlemann, “On Communication Performance in Energy Harvesting WSNs under a Cooperative Jamming Attack,” IEEE Systems Journal, pp. 4955-4966. 2020.

[161]       Y. Ni, L. Cai, J. He, A. Vinel, Y. Li, H. Mosavat-Jahromi, and J. Pan, “Toward Reliable and Scalable Internet-of-Vehicles: Performance Analysis and Resource Management,” Proceedings of the IEEE, pp. 324-340. 2020.

[162]       G. Nilsson and G. Como, “A Micro-Simulation Study of the Generalized Proportional Allocation Traffic Signal Control,” IEEE transactions on intelligent transportation systems, vol. 21, no. 4, pp. 1705-1715. 2020.

[163]       G. Nyberg, E. Backman, and H. Larsson, “Exploring the Meaning of Movement Capability in Physical Education Teacher Education through Student Voices,” European Physical Education Review, vol. 26, no. 1, pp. 144-158. 2020.

[164]       C. Nykvist, M. Larsson, A. H. Sodhro, and A. Gurtov, “A Lightweight Portable Intrusion Detection Communication System for Auditing Applications,” International Journal of Communication Systems, vol. 33, no. 7, p. e4327. 2020.

[165]       E. Nyman, M. Lindh, W. Lövfors, C. Simonsson, A. Persson, D. Eklund, E. Bäckström, M. Fridén, G. Cedersund, E. Backstrom, and M. Friden, “Mechanisms of a Sustained Anti-Inflammatory Drug Response in Alveolar Macrophages Unraveled with Mathematical Modeling,” CPT: Pharmacometrics and Systems Pharmacology (PSP), pp. 707-717. 2020.

[166]       J. Olofsson, G. Hendeby, T. R. Lauknes, and T. A. Johansen, “Multi-Agent Informed Path Planning Using the Probability Hypothesis Density,” Autonomous Robots, vol. 44, pp. 913-925. 2020.

[167]       B. Ostrowski, M. Pióro, A. Tomaszewski, and E. Fitzgerald, “Resilience through Multicast – an Optimization Model for Multi-Hop Wireless Sensor Networks,” Ad Hoc Networks, vol. 107, p. 102239. 2020.

[168]       B. G. Palm, D. Alves, M. Pettersson, V. T. Vu, R. Machado, R. J. Cintra, F. M. Bayer, P. B. G. Dämmert, and H. Hellsten, “Wavelength-Resolution SAR Ground Scene Prediction Based on Image Stack,” Sensors, vol. 20, no. 7, p. 2008. 2020.

[169]       C. Parera, Q. Liao, I. Malanchini, C. Tatino, A. E. C. Redondi, and M. Cesana, “Transfer Learning for Tilt-Dependent Radio Map Prediction,” IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 2, pp. 829-843. 2020.

[170]       M. Patel, M. H. Nilsson, S. Rehncrona, F. Tjernström, M. Magnusson, R. Johansson, and P. A. Fransson, “Effects of Deep Brain Stimulation on Postural Control in Parkinson’s Disease,” Computers in Biology and Medicine, vol. 122, p. 103828. 2020.

[171]       P. Pelliccione, E. Knauss, M. Ågren, R. Heldal, C. Bergenhem, A. Vinel, O. Brunnegård, and S. M. Ågren, “Beyond Connected Cars: A Systems of Systems Perspective,” Science of Computer Programming, vol. 191, p. 102414. 2020.

[172]       C. Preger, N. C. Overgaard, M. E. Messing, and M. H. Magnusson, “Predicting the Deposition Spot Radius and the Nanoparticle Concentration Distribution in an Electrostatic Precipitator,” Aerosol Science and Technology, vol. 54, no. 6, pp. 718-728. 2020.

[173]       F. Präntare and F. Heintz, “An Anytime Algorithm for Optimal Simultaneous Coalition Structure Generation and Assignment,” Autonomous Agents and Multi-Agent Systems, vol. 34, no. 1. 2020.

[174]       T. X. Quach, H. V. Tran, E. Uhlemann, and M. T. Truc, “Secrecy Performance of Cooperative Cognitive Radio Networks under Joint Secrecy Outage and Primary User Interference Constraints,” IEEE Access, vol. 8, pp. 18442-18455. 2020.

[175]       K. Radnosrati, C. Fritsche, F. Gunnarsson, F. Gustafsson, and G. Hendeby, “Localization in 3GPP LTE Based on One RTT and One TDOA Observation,” IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 3399-3411. 2020.

[176]       K. Radnosrati, G. Hendeby, and F. Gustafsson, “Exploring Positive Noise in Estimation Theory,” IEEE Transactions on Signal Processing, pp. 3590-3602. 2020.

[177]       K. Rajan, S. Hashemi, U. Karpuzcu, M. Doggett, and S. Reda, “Dual-Precision Fixed-Point Arithmetic for Low-Power Ray-Triangle Intersections,” Computers and Graphics, vol. 87, pp. 72-79. 2020.

[178]       N. Rezk, M. Purnaprajna, T. Nordström, and Z. Ul-Abdin, “Recurrent Neural Networks: An Embedded Computing Perspective,” IEEE Access, vol. 81, no. 1, pp. 57967-57996. 2020.

[179]       J. Rodriguez Sanchez, F. Rusek, O. Edfors, M. Sarajlic, and L. Liu, “Decentralized Massive MIMO Processing Exploring Daisy-Chain Architecture and Recursive Algorithms,” IEEE Transactions on Signal Processing, vol. 68, pp. 687-700. 2020.

[180]       R. Ros and M. Hammar, “Data-Driven Software Design with Constraint Oriented Multi-Variate Bandit Optimization (Combo),” Empirical Software Engineering, vol. 25, no. 5, pp. 3841-3872. 2020.

[181]       K. Ryu, A. B. Taylor, C. Bergeling, and P. Giselsson, “Operator Splitting Performance Estimation: Tight Contraction Factors and Optimal Parameter Selection,” SIAM Journal on Optimization, vol. 30, no. 3, pp. 2251-2271. 2020.

[182]       Y. Saleem, P. Sotres, S. Fricker, C. Lopez de la Torre, N. Crespi, G. M. Lee, R. Minerva, and L. Sanchez, “IoTRec: The IoT Recommender for Smart Parking System,” IEEE Transactions on Emerging Topics in Computing, pp. 1-1. 2020.

[183]       L. Sanguinetti, E. Björnson, and J. Hoydis, “Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination,” IEEE Transactions on Communications, vol. 68, no. 1, pp. 232-257. 2020.

[184]       S. Savas, Z. Ul-Abdin, and T. Nordström, “A Framework to Generate Domain-Specific Manycore Architectures from Dataflow Programs,” Microprocessors and microsystems, vol. 72, p. 102908. 2020.

[185]       C. Schwartz, L. P. Ramos, L. T. Duarte, M. da S. Pinho, M. Pettersson, V. T. Vu, and R. Machado, “Change Detection in UWB SAR Images Based on Robust Principal Component Analysis,” Remote Sensing, vol. 12, no. 12, p. 1916. 2020.

[186]       S. Shirinbab, L. Lundberg, and E. Casalicchio, “Performance Evaluation of Containers and Virtual Machines When Running Cassandra Workload Concurrently,” Concurrency and Computation, vol. 32, no. 17. 2020.

[187]        I. Skog, “Nonintrusive Elevator System Fault Detection Using Learned Traffic Patterns,” IEEE Sensors Letters, vol. 4, no. 11, pp. 1-4. 2020.

[188]       K. Soltesz, F. Gustafsson, T. Timpka, J. Jaldén, C. Jidling, A. Heimerson, T. B. Schön, A. Spreco, J. Ekberg, Ö. Dahlström, F. Bagge Carlson, A. Jöud, and B. Bernhardsson, “The Effect of Interventions on Covid-19,” Nature, vol. 588, no. 7839, pp. 26-28. 2020.

[189]       S. Souihi, S. Bitam, A. Mellouk, T. Abreu, S. Hoceini, S. Fowler, S. Medileh, S. De, and A. Shami, “Smart Communications for Autonomous Systems in Network Technologies,” International Journal of Communication Systems, vol. 33, no. 10, p. e4445. 2020.

[190]       G. Stamatakis, N. Pappas, and A. Traganitis, “Optimal Policies for Status Update Generation in an Iot Device with Heterogeneous Traffic,” IEEE Internet of Things Journal, vol. 7, no. 6, pp. 5315-5328. 2020.

[191]       S. Sten, F. Elinder, G. Cedersund, and M. Engström, “A Quantitative Analysis of Cell-Specific Contributions and the Role of Anesthetics to the Neurovascular Coupling,” NeuroImage, vol. 215, p. 116827. 2020.

[192]       T Sund, C. Lööf, S. Nadjm-Tehrani, and M. Asplund, “Blockchain-Based Event Processing in Supply Chains-a Case Study at Ikea,” Robotics and Computer-Integrated Manufacturing, vol. 65, p. 101971. 2020.

[193]       C. Sundberg, M. Persson, M. Sjolin, J. Wikner, and M. Danielsson, “Silicon Photon-Counting Detector for Full-Field Ct Using an Asic with Adjustable Shaping Time,” Journal of Medical Imaging, vol. 7, no. 05. 2020.

[194]       A. Szalas, “A Paraconsistent Asp-Like Language with Tractable Model Generation,” Journal of Applied Logics – IfCoLog Journal of Logic and Applications, vol. 7, no. 3, pp. 361-389. 2020.

[195]       A. Szalas, “On the Probability and Cost of Ignorance, Inconsistency, Nonsense and More,” Journal of Multiple-Valued Logic and Soft Computing, vol. 34, no. 5-6, pp. 423-450. 2020.

[196]       H. Tataria, K. Haneda, A. Molisch, M. Shafi, and F. Tufvesson, “Standardization of Propagation Models for Terrestrial Cellular Systems: A Historical Perspective,” International Journal of Wireless Information Networks, vol. 28, no. 1, pp. 20-44. 2020.

[197]       C. Tatino, N. Pappas, and D. Yuan, “Multi-Robot Association-Path Planning in Millimeter-Wave Industrial Scenarios,” IEEE Networking Letters, vol. 2, no. 4, pp. 190-194. 2020.

[198]       A. Tavares, F. J. Lawin, and P.-E. Forssén, “Assessing Losses for Point Set Registration,” IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 3360-3367. 2020.

[199]       S. Thellman and T. Ziemke, “Do You See What I See? Tracking the Perceptual Beliefs of Robots,”iScience, vol. 23, no. 10, p. 101625. 2020.

[200]       M. Tiger and F. Heintz, “Incremental Reasoning in Probabilistic Signal Temporal Logic,” International Journal of Approximate Reasoning, pp. 325-352. 2020.

[201]       C. Toft, W. Maddern, A. Torii, L. Hammarstrand, E. Stenborg, D. Safari, M. Okutomi, M. Pollefeys, J. Sivic, T. Pajdla, F. Kahl, and T. Sattler, “Long-Term Visual Localization Revisited,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-1. 2020.

[202]       T. Tongbuasirilai, J. Unger, J. Kronander, and M. Kurt, “Compact and Intuitive Data-Driven Brdf Models,” The Visual Computer, vol. 36, no. 4, pp. 855-872. 2020.

[203]        A. Tsirikoglou, G. Eilertsen, and J. Unger, “A Survey of Image Synthesis Methods for Visual Machine Learning,” Computer graphics forum (Print), pp. 426-451. 2020.

[204]       Ö. T. Tugfe Demir, E. Björnson, L. Sanguinetti, and O. T. Demir, “Foundations of User-Centric Cell-Free Massive MIMO,” Foundations and Trends in Signal Processing, vol. 14, no. 3-4, pp. 162-472. 2020.

[205]        A. B. Ucuncu, E. Björnson, H. Johansson, A. O. Yilmaz, and E. G. Larsson, “Performance Analysis of Quantized Uplink Massive MIMO-OFDM with Oversampling under Adjacent Channel Interference,” IEEE Transactions on Communications, vol. 68, no. 2, pp. 871-886. 2020.

[206]       E. Uhlemann, “Peculiar Times Being Used to Analyze and Plan Ahead [Connected and Autonomous Vehicles],” IEEE Vehicular Technology Magazine, pp. 135-138. 2020.

[207]       E. Uhlemann, “Every Effort toward Traffic Safety Counts,” IEEE Vehicular Technology Magazine, vol. 15, no. 2, pp. 144-148. 2020.

[208]       S. Vallachira, M. Orkisz, M. Norrlöf, and S. Butail, “Data-Driven Gearbox Failure Detection in Industrial Robots,” IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 193-201. 2020.

[209]       T. van Chien, E. Björnson, and E. G. Larsson, “Joint Power Allocation and Load Balancing Optimization for Energy-Efficient Cell-Free Massive MIMO Networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 10, pp. 6798-6812. 2020.

[210]       T. van Chien, T. N. Canh, E. Björnson, and E. G. Larsson, “Power Control in Cellular Massive MIMO with Varying User Activity: A Deep Learning Solution,” IEEE Transactions on Wireless Communications, vol. 19, no. 9, pp. 5732-5748. 2020.

[211]       B. Vedder, J. Svensson, J. Vinter, M. Jonsson, and B. J. Svensson, “Automated Testing of Ultrawideband Positioning for Autonomous Driving,” Journal of Robotics, vol. 2020, pp. 1-15. 2020.

[212]       C. Veibäck, J. Olofsson, T. R. Lauknes, and G. Hendeby, “Learning Target Dynamics While Tracking Using Gaussian Processes,” IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 4, pp. 2591-2602. 2020.

[213]       D. Verenzuela, E. Björnson, X. Wang, M. Arnold, and S. t. Brink, “Massive-MIMO Iterative Channel Estimation and Decoding (Miced) in the Uplink,” IEEE Transactions on Communications, vol. 68, no. 2, pp. 854-870. 2020.

[214]       S. D. Vishnubhotla, E. Mendes, and L. Lundberg, “Investigating the Relationship between Personalities and Agile Team Climate of Software Professionals in a Telecom Company,” Information and Software Technology, vol. 126, p. 106335. 2020.

[215]       S. Voronov, M. Krysander, and E. Frisk, “Predictive Maintenance of Lead-Acid Batteries with Sparse Vehicle Operational Data,” International Journal of Prognostics and Health Management, vol. 11, no. 1. 2020.

[216]       C.-X. Wang, M. Di Renzo, S. Stanczak, S. Wang, and E. G. Larsson, “Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges,” IEEE wireless communications, vol. 27, no. 1, pp. 16-23. 2020.

[217]       H. M. Weerts, J. Linder, M. Enqvist, and P. M. J. Van den Hof, “Abstractions of Linear Dynamic Networks for Input Selection in Local Module Identification,” Automatica, vol. 117, p. 108975. 2020.

[218]       O. Westman and M. Hell, “Electromagnetic Side-Channel Attack on Aes Using Low-End Equipment,” ECTI Transactions on Computer and Information Technology, vol. 14, no. 2, pp. 139-148. 2020.

[219]       C. Wohlin, E. Mendes, K. Felizardo, and M. Kalinowski, “Guidelines for the Search Strategy to Update Systematic Literature Reviews in Software Engineering,” Information and Software Technology, vol. 127, p. 106366. 2020.

[220]       J. Yang and T. Johansson, “An Overview of Cryptographic Primitives for Possible Use in 5G and Beyond,” Science China Information Sciences, vol. 63, no. 12. 2020.

[221]       J. Yang, T. Johansson, and A. Maximov, “Spectral Analysis of Zuc-256,” IACR Transactions on Symmetric Cryptology, vol. 2020, no. 1, pp. 266-288. 2020.

[222]       L. Yin, G. Turesson, P. Tunestal, and R. Johansson, “Model Predictive Control of an Advanced Multiple Cylinder Engine with Partially Premixed Combustion Concept,” IEEE/ASME Transactions on Mechatronics, vol. 25, no. 2, pp. 804-814. 2020.

[223]       L. Yu, J. Wu, A. Zhou, E. G. Larsson, and P. Fan, “Massively Distributed Antenna Systems with Nonideal Optical Fiber Fronthauls: A Promising Technology for 6G Wireless Communication Systems,” IEEE Vehicular Technology Magazine, vol. 15, no. 4, pp. 43-51. 2020.

[224]       X. Yu, J. Liu, J. W. Keung, Q. Li, K. E. Bennin, Z. Xu, J. Wang, and X. Cui, “Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM,” IEEE Transactions on Reliability, vol. 69, no. 1, pp. 139-153. 2020.

[225]       J. Zhang, E. Björnson, M. Matthaiou, D. W. K. Ng, H. Yang, and D. J. Love, “Guest Editorial Special Issue on Multiple Antenna Technologies for Beyond 5G-Part-I,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 8, pp. 1633-1636. 2020.

[226]       J. Zhang, E. Björnson, M. Matthaiou, D. W. K. Ng, H. Yang, and D. J. Love, “Special Issue on Multiple Antenna Technologies for Beyond 5G-Part II,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 9, pp. 1941-1944. 2020.

[227]       J. Zhang, E. Björnson, M. Matthaiou, D. W. K. Ng, H. Yang, and D. J. Love, “Prospective Multiple Antenna Technologies for Beyond 5G,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 8, pp. 1637-1660. 2020.

[228]       Y. Zhang, K. Chakrabarty, Z. Peng, A. Rezine, H. Li, P. I. Eles, J. Jiang, and P. Eles, “Software-Based Self-Testing Using Bounded Model Checking for out-of-Order Superscalar Processors,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 3, pp. 714-727. 2020.

[229]       A. Zhou, J. Wu, E. G. Larsson, and P. Fan, “Max-Min Optimal Beamforming for Cell-Free Massive MIMO,” IEEE Communications Letters, vol. 24, no. 10, pp. 2344-2348. 2020.

[230]       M. Zhu, D. G. M. Mitchell, M. Lentmaier, D. J. Costello, and B. Bai, “Error Propagation Mitigation in Sliding Window Decoding of Braided Convolutional Codes,” IEEE Transactions on Communications, vol. 68, no. 11, pp. 6683-6698. 2020.

[231]       T. Ziemke, “Understanding Robots,” Science Robotics, vol. 5, no. 46. 2020.

[232]       K. Åström, “Matematiska Modeller För Beslutsfattande Hos Människor, Djur Och Maskiner,” Statsvetenskaplig tidskrift, vol. 122, no. 4, pp. 531-543. 2020.

[233]       Ö. Özdogan, E. Björnson, and E. G. Larsson, “Intelligent Reflecting Surfaces: Physics, Propagation, and Pathloss Modeling,” IEEE Wireless Communications Letters, vol. 9, no. 5, pp. 581-585. 2020.

 

Scientific peer- reviewed conference papers

 

[1]               G. Ahani and D. Yuan, “Accounting for Information Freshness in Scheduling of Content Caching,” in ICC 2020: 2020 IEEE International Conference on Communications (ICC). 2020.

[2]               A. Aijaz, Z. Dawy, N. Pappas, M. Simsek, S. Oteafy, and O. Holland, “The IEEE P1918.1 Reference Architecture Framework for the Tactile Internet and a Case Study,” in 2020 IEEE Global Communications Conference (GLOBECOM). 2020.

[3]               F. Akbarian, E. Fitzgerald, and M. Kihl, “Intrusion Detection in Digital Twins for Industrial Control Systems,” in 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020). 2020.

[4]               F. Akbarian, E. Fitzgerald, and M. Kihl, “Synchronization in Digital Twins for Industrial Control Systems,” in 16th Swedish National Computer Networking Workshop (SNCNW 2020). 2020.

[5]               J. V. Alegria and F. Rusek, “Cramér-Rao Lower Bounds for Positioning with Large Intelligent Surfaces Using Quantized Amplitude and Phase,” in 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019, p. 10-14. 2020.

[6]               J. V. Alegria, F. Rusek, J. R. Sanchez, and O. Edfors, “Trade-Offs in Quasi-Decentralized Massive MIMO,” in 2020 IEEE International Conference on Communications Workshops. 2020.

[7]               N. b. Ali, H. Edison, R. Torkar, N. bin Ali, and N. B. Ali, “The Impact of a Proposal for Innovation Measurement in the Software Industry,” in International Symposium on Empirical Software Engineering and Measurement. 2020.

[8]               H. Aliakbari Abar and B. K. Lau, “Wideband Excitation and Matching of Fundamental Chassis Mode Using Inductive Coupling Element,” in IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting – AP-S/URSI. 2020.

[9]               H. Aliakbari Abar, Q. Liang, and B. K. Lau, “Enhanced Low Band MIMO Terminal Antenna Based on Selective Feeding of Chassis Modes,” in 14th European Conference on Antennas and Propagation – EuCAP 2020. 2020.

[10]           C. Altafini and G. Lindmark, “On the Impact of Edge Modifications for Networked Control Systems”. 2020.

[11]           I. D. Alves, C. Muller, V. T. Vu, M. Pettersson, P. K. de Jesus, R. Machado, and B. E. Uchoa-Filho, “Incoherent Change Detection Methods for Wavelength-Resolution SAR Image Stacks Based on Masking Techniques,” in 2020 IEEE National Radar Conference – Proceedings. 2020.

[12]            A. Aminifar, “Universal Adversarial Perturbations in Epileptic Seizure Detection,” in 2020 International Joint Conference On Neural Networks (IJCNN). 2020.

[13]           A. Aminifar, “Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study,” in ICASSP 2020: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), p. 1205-1209. 2020.

[14]           O. Andersson, P. Sidén, J. Dahlin, P. Doherty, and M. Villani, “Real-Time Robotic Search Using Structural Spatial Point Processes,” in 35th Uncertainty In Artificial Intelligence Conference (UAI 2019), p. 995-1005. 2020.

[15]           P. Anistratov, B. Olofsson, O. Burdakov, and L. Nielsen, “Autonomous-Vehicle Maneuver Planning Using Segmentation and the Alternating Augmented Lagrangian Method,” in 21th IFAC World Congress Proceedings, p. 15558-15565. 2020.

[16]           M. Aramrattana, T. Larsson, C. Englund, J. Jansson, and A. Nåbo, “A Novel Risk Indicator for Cut-in Situations,” in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020. 2020.

[17]           H. Araujo, T. Hoenselaar, M. R. Mousavi, and A. Vinel, “Connected Automated Driving: A Model-Based Approach to the Analysis of Basic Awareness Services,” in 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, p. 1-7. 2020.

[18]           D. Arnström and D. Axehill, “Exact Complexity Certification of an Early-Terminating Standard Primal Active-Set Method for Quadratic Programming,” in IFAC Papersonline, p. 6509-6515. 2020.

[19]           A. Arvanitaki, N. Pappas, N. Carlsson, and P. Mohapatra, “Secrecy in Congestion-Aware Broadcast Channels,” in 12th Wireless Days Conference (WD 2021). 2020.

[20]           I. Arvidsson, N. C. Overgaard, K. Åström, A. Heyden, M. O. Figueroa, J. F. Rose, and A. Davidsson, “Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy Using Deep Neural Networks,” in 25th International Conference on Pattern Recognition, ICPR 2020, Virtual, p. 4442-4449. 2020.

[21]           I. Arvidsson, N. C. Overgaard, A. Krzyzanowska, F. E. Marginean, A. Simoulis, A. Bjartell, K. Åström, and A. Heyden, “Domain-Adversarial Neural Network for Improved Generalization Performance of Gleason Grade Classification,” in Medical Imaging 2020: Digital Pathology. 2020.

[22]           I. Avgouleas, N. Pappas, and V. Angelakis, “Cacheable and Non-Cacheable Traffic Interplay in a Relay-Assisted Wireless Network,” in ICC 2020 – 2020 IEEE International Conference on Communications (ICC). 2020.

[23]           C. Bae and O. Gustafsson, “High-Speed Chromatic Dispersion Compensation Filtering in Fpgas for Coherent Optical Communication,” in 2020 30th International Conference on Field-Programmable Logic and Applications (FPL), p. 357-358. 2020.

[24]           C. Bae, P. Larsson-Edefors, and O. Gustafsson, “Benefit of Prime Factor FFTs in Fully Parallel 60 GBaud CDC Filters”, in OSA Advanced Photonics Congress (AP). 2020.

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Licentiate theses

 

[1]               E. Becirovic, “On Massive MIMO for Massive Machine-Type Communications”. Licentiate Thesis, Linköping University Electronic Press. 2020.

[2]               A. Bergström, “Timing-Based Localization using Multipath Information”, Licentiate Thesis, Linköping University Electronic Press. 2020.

[3]               R. Forsling, “Decentralized Estimation Using Conservative Information Extraction,” Licentiate Thesis, Linköping University Electronic Press. 2020.

[4]               E. Hedberg, “Control, Models and Industrial Manipulators,” Licentiate Thesis, Linköping University Electronic Press. 2020.

[5]               M. Heyden, “Dynamic Optimization of Transportation Networks with Delays”, Licentiate Thesis, Lund University. 2020.

[6]               C.-Y. Lin, “A timing approach to network-based anomaly detection for SCADA systems Licentiate Thesis, Linköping University Electronic Press. 2020.

[7]               F. Ljungberg, “Estimation of Nonlinear Greybox Models for Marine Applications,” Licentiate Thesis, Linköping University Electronic Press. 2020.

[8]               N. Rezk, “Exploring Efficient Implementations of Deep Learning Applications on Embedded Platforms”, Licentiate Thesis, Halmstad University Press. 2020.

[9]               S. Rico, “Approaches to improve researcher-practitioner communication in joint software engineering research”, Licentiate Thesis, Lund University. 2020.

[10]           J. Sönnerup, “On Lightweight Security for Constrained Environments”, Licentiate Thesis, Lunds Universitet/Lunds Tekniska Högskola. 2020.

[11]            Ö. Özdogan, “Analysis of Cellular and Cell-Free Massive MIMO with Rician Fading”, Licentiate Thesis, Linköping University Electronic Press. 2020.

 

PhD theses

 

[1]               O. Andersson, “Learning to Make Safe Real-Time Decisions Under Uncertainty for Autonomous Robots”, PhD Thesis, Linköping University Electronic Press. 2020.

[2]               K. J. Batstone, “Computer Vision without Vision: Methods and Applications of Radio and Audio Based SLAM”, PhD Thesis, Mathematics Centre for Mathematical Sciences, Lund University. 2020.

[3]               T. van Chien, “Spatial Resource Allocation in Massive MIMO Communications: From Cellular to Cell-Free,” PhD Thesis, Linköping University Electronic Press. 2020.

[4]               V. Fors, “Autonomous Vehicle Maneuvering at the Limit of Friction”, PhD Thesis, Linköping University Electronic Press. 2020.

[5]               F. Fotrousi, “Combining User Feedback and Monitoring Data to Support Evidence-based Software Evolution,” PhD Thesis, Blekinge Tekniska Högskola. 2020.

[6]               S. Hajisharif, “Computational Photography: High Dynamic Range and Light Fields,” PhD Thesis, Linköping University Electronic Press. 2020.

[7]               G. Interdonato, “Cell-Free Massive MIMO: Scalability, Signal Processing and Power Control,” PhD Thesis, Linköping University Electronic Press. 2020.

[8]               A. Kosta, “Age of Information Aware Communication Systems: Modeling and Performance Analysis,” PhD Thesis, Linköping University Electronic Press. 2020.

[9]               R. Kurtz, “Contributions to Semantic Dependency Parsing: Search, Learning, and Application” PhD Thesis, Linköping University Electronic Press. 2020.

[10]           G. Lindmark, “Controllability of Complex Networks at Minimum Cost,” PhD Thesis, Linköping University Electronic Press. 2020.

[11]           O. Ljungqvist, “Motion planning and feedback control techniques with applications to long tractor-trailer vehicles”, PhD Thesis, Linköping University Electronic Press. 2020.

[12]           E. Mårtensson, “Some Notes on Post-Quantum Cryptanalysis”, PhD Thesis, Department of Electroscience, Lund University. 2020.

[13]           K. Radnosrati, “Time of Flight Estimation for Radio Network Positioning”, PhD Thesis, Linköping University Electronic Press. 2020.

[14]           M. Safavi, “Content and Resource Management in Edge Networks,” PhD Thesis, Department of Electroscience, Lund University. 2020.

[15]           S. Sten, “Mathematical modeling of neurovascular coupling,” PhD Thesis, Linköping University Electronic Press. 2020.

[16]           Å. Svensson, “Human-automation teamwork: Current practices and future directions in air traffic control”, PhD Thesis, Linköping University Electronic Press. 2020.

[17]           M. Thelander Andrén, “On LQG-Optimal Event-Based Sampling”, PhD Thesis, Lund University. 2020.

[18]           D. Verenzuela, “Exploring Alternative Massive MIMO Designs: Superimposed Pilots and Mixed-ADCs”, PhD Thesis, Linköping University Electronic Press. 2020.

[19]           S. Voronov, “Machine Learning Models for Predictive Maintenance”, PhD Thesis, Linköping University Electronic Press. 2020.

[20]           J. Zötterman, “Laser Speckle Contrast Imaging in Reconstructive Surgery”, PhD Thesis, Linköping University Electronic Press. 2020.

 

Proceedings edition

 

[1]          A. Cervin and Y. Yang, 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. 2020.

[2]          U. Söderström, L. B. Freidovich, T. Nordström, and K. Kunert, Proceedings of the 18th Student Conference in Interaction Technology and Design and the 6th Student Conference in Electronics and Mechatronics. Umeå University. 2020.

[3]          U. Söderström, O. Norberg, T. Nordström, and L. B. Freidovich, Proceedings of the 19th Student Conference in Interaction Technology and Design. Umeå University. 2020.

[4]          A. Zisman, T. Breaux, S. Fricker, and M. Glinz, Proceedings of the 28th IEEE International Requirements Engineering Conference (RE20). IEEE Computer Society. 2020.

 

Chapters in books

 

[1]               M. Borhani, M. Liyanage, A. H. Sodhro, P. Kumar, A. D. Jurcut, and A. Gurtov, “Secure and Resilient Communications in the Industrial Internet,” in Guide to Disaster-Resilient Communication Networks: Springer, pp. 219-242. 2020.

[2]               J. Kohstall, V. Boeva, L. Lundberg, and M. Angelova, “Ensembles of Cluster Validation Indices for Label Noise Filtering,” in Studies in Computational Intelligence, b. v. H. v. Aulock Ed.: Springer, pp. 71-98. 2020.

[3]               C. Mas-Machuca, F. Musumeci, P. Vizarreta, D. Pezaros, S. Jouët, M. Tornatore, A. Hmaity, M. Liyanage, A. Gurtov, A. Braeken, “Reliable Control and Data Planes for Softwarized Networks,” In J. Rak, D. Hutchison (eds), Guide to Disaster-resilient Communication Networks, pp. 243-270. 2020.

[4]               M. Liyanage, A. H. Sodhro, P. Kumar, A. D. Jurcut, and A. Gurtov, “Securing the Communication of Industrial Internet,” in Guide to Disaster-resilient Communication Networks: Springer. 2020.

[5]               J. Rak, M. Jonsson, A. Vinel, and K. Jurczenia, “Design of Resilient Vehicle-to-Infrastructure Systems,” in Guide to Disaster-Resilient Communication Networks: Springer, pp. 721-741. 2020.

[6]               P. Runeson, E. Engström, and M.-A. Storey, “The Design Science Paradigm as a Frame for Empirical Software Engineering,” in Contemporary Empirical Methods in Software Engineering: Springer, pp. 127-147. 2020.

[7]               K. Soltesz, K. van Heusden, and G. A. Dumont, “Models for Control of Intravenous Anesthesia,” in Automated Drug Delivery in Anesthesia: Elsevier, pp. 119-166. 2020.

 

Reports

 

[1]               C. Aili and E. Bjarnason, “Lärares digitala arbetsmiljö vid Lunds universitet: Slutrapport för LärDA projektet 2019/2020,” Lund University. 2020.

[2]               A. Gurtov, M. R, C. S, and W. A, “UAS Remote ID, draft-moskowitz-drip-uas-rid-01,” Linköping University. 2020.

[3]               A. Gurtov, M. R, C. S, W. A, and G. A, “Secure UAS Network RID and C2 Transport,” IETF. 2020.

[4]               A. Maximov and M. Hell, “Software Evaluation of Grain-128AEAD for Embedded Platforms,” IACR. 2020.

 

 

 

 

Scientific peer-reviewed publications in refereed journals

 

[1]                       M. Abdulaziz, W. Ahmad, M. Törmänen, and H. Sjöland, A Linearization Technique for Differential OTAs, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 64, no. 9, pp. 1002-1006, 2017.

[2]                       W. Ahmad, M. Abdulaziz, A. Nejdel, M. Törmänen, and H. Sjöland, CMOS Integrated Remote Antenna Unit for Fiber-Fed Distributed MIMO Systems, IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 1, pp. 173-186, 2017.

[3]                       A. Aminifar, P. Eles, Z. Peng, A. Cervin, and K.-E. Årzén, Control-Quality Driven Design of Embedded Control Systems with Stability Guarantees, IEEE Design and Test, 2017.

[4]                       F. Andersson and M. Carlsson, On the Structure of Positive Semi-Definite Finite Rank General Domain Hankel and Toeplitz Operators in Several Variables, Complex Analysis and Operator Theory, vol. 11, no. 4, pp. 755-784, 2017.

[5]                       F. Andersson, M. Carlsson, and C. Olsson, Convex envelopes for fixed rank approximation, Optimization Letters, 2017.

[6]                       F. Andersson, A. C. Ramírez, T. Wiik, and V. V. Nikitin, Directional interpolation of multicomponent data, Geophysical Prospecting, vol. 65, no. 5, pp. 1246-1263, 2017.

[7]                       M. Aramrattana et al., Mastering Cooperative Driving Challenges in a Competition Scenario, IEEE Transactions on Intelligent Transportation Systems (Print), 2017.

[8]                       M. Aramrattana, T. Larsson, J. Jansson, and A. Nåbo, A simulation framework for cooperative intelligent transport systems testing and evaluation, Transportation Research Part F: Traffic Psychology and Behaviour, 2017.

[9]                       H. Araujo, G. Carvalho, M. Mohaqeqi, M. R. Mousavi, and A. Sampaio, Sound conformance testing for cyber-physical systems : Theory and implementation, Science of Computer Programming, vol. 162, pp. 35-54, 2017.

[10]                     G. S. Aujla, R. Chaudhary, N. Kumar, J. J. P. C. Rodrigues, and A. Vinel, Data Offloading in 5G-Enabled Software-Defined Vehicular Networks : A Stackelberg-Game-Based Approach, IEEE Communications Magazine, vol. 55, no. 8, pp. 100-108, 2017.

[11]                     I. Avgouleas, N. Pappas, D. Yuan, and V. Angelakis, Probabilistic Cooperation of a Full-Duplex Relay in Random Access Networks, IEEE Access, vol. 5, pp. 7394-7404, 2017.

[12]                     E. L. Bengtsson, F. Rusek, S. Malkowsky, F. Tufvesson, P. C. Karlsson, and O. Edfors, A Simulation Framework for Multiple-Antenna Terminals in 5G Massive MIMO Systems, IEEE Access, vol. 5, pp. 26819-26831, 2017.

[13]                     E. Bjarnason and M. Borg, Aligning Requirements and Testing, IEEE Software, vol. 34, no. 1, pp. 20-23, 2017.

[14]                     E. Björnson, E. de Carvalho, J. H. Sorensen, E. G. Larsson, and P. Popovski, A Random Access Protocol for Pilot Allocation in Crowded Massive MIMO Systems, IEEE Transactions on Wireless Communications, vol. 16, no. 4, pp. 2220-2234, 2017.

[15]                     O. Burdakov, J. Kvarnström, and P. Doherty, Optimal scheduling for replacing perimeter guarding unmanned aerial vehicles, Annals of Operations Research, vol. 249, no. 1, pp. 163-174, 2017.

[16]                     C. Campolo, A. Molinaro, A. O. Berthet, and A. Vinel, Full-Duplex Radios for Vehicular Communications, IEEE Communications Magazine, vol. 55, no. 6, pp. 182-189, 2017.

[17]                     P. Charpin, T. Johansson, G. Kyureghyan, N. Sendrier, and J. P. Tillich, Editorial, Designs, Codes, and Cryptography, vol. 82, no. 1, pp. 1-2, 2017.

[18]                     K. Chen and A. Alvandpour, A pipelined SAR ADC with gain-stage based on capacitive charge pump, Analog Integrated Circuits and Signal Processing, vol. 90, no. 1, pp. 43-53, 2017.

[19]                     Z. Chen, J. Lee, T. Q. S. Quek, and M. Kountouris, Cooperative Caching and Transmission Design in Cluster-Centric Small Cell Networks, IEEE Transactions on Wireless Communications, vol. 16, no. 5, pp. 3401-3415, 2017.

[20]                     Z. Chen, N. Pappas, and M. Kountouris, Probabilistic Caching in Wireless D2D Networks: Cache Hit Optimal Versus Throughput Optimal, IEEE Communications Letters, vol. 21, no. 3, pp. 584-587, 2017.

[21]                     V. Cheng, E. Björnson, and E. G. Larsson, Optimal Pilot and Payload Power Control in Single-Cell Massive MIMO Systems, IEEE Transactions on Signal Processing, vol. 65, no. 9, pp. 2363-2378, 2017.

[22]                     M. Chung, M. S. Sim, D. K. Kim, and C. B. Chae, Compact Full Duplex MIMO Radios in D2D Underlaid Cellular Networks, IEEE Access, vol. 5, pp. 16601-16617, 2017.

[23]                     G. Como, On resilient control of dynamical flow networks, Annual Reviews in Control, vol. 43, pp. 80-90, 2017.

[24]                     M. Cooney and A. Sant’Anna, Avoiding Playfulness Gone Wrong: Exploring Multi-objective Reaching Motion Generation in a Social Robot, International Journal of Social Robotics, vol. 9, no. 4, pp. 545-562, 2017.

[25]                     G. Dahman, J. Flordelis, and F. Tufvesson, Estimating the Cross-Correlation Properties of Large-Scale Parameters in Multilink Distributed Antenna Systems, IEEE Transactions on Vehicular Technology, vol. 66, no. 9, pp. 7633-7642, 2017.

[26]                     M. Danelljan, G. Häger, F. Khan, and M. Felsberg, Discriminative Scale Space Tracking, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 39, no. 8, pp. 1561-1575, 2017.

[27]                     E. de Carvalho, E. Björnson, J. H. Sorensen, P. Popovski, and E. G. Larsson, Random Access Protocols for Massive MIMO, IEEE Communications Magazine, vol. 55, no. 5, pp. 216-222, 2017.

[28]                     M. E. Dieckmann et al., Emergence of MHD structures in a collisionless PIC simulation plasma, Physics of Plasmas, vol. 24, no. 9, 2017, Art. no. 094502.

[29]                     E. Dubrova and M. Hell, Espresso: A stream cipher for 5G wireless communication systems, Cryptography and Communications, vol. 9, no. 2, pp. 273-289, 2017.

[30]                     Q.-T. Duong, A. Bhide, and A. Alvandpour, Design and analysis of high-speed split-segmented switched-capacitor DACs, Analog Integrated Circuits and Signal Processing, vol. 92, no. 2, pp. 199-217, 2017.

[31]                     A. Einarsson and T. Ziemke, Exploring the Multi-Layered Affordances of Composing and Performing Interactive Music with Responsive Technologies, Frontiers in Psychology, vol. 8, 2017, Art. no. 1701.

[32]                     B. Emamizadeh, A. Farjudian, and H. Mikayelyan, An Elliptic Optimal Control Problem and its Two Relaxations, Journal of Optimization Theory and Applications, vol. 172, no. 2, pp. 455-465, 2017.

[33]                     E. Engström, K. Petersen, N. Ali, and E. Bjarnason, SERP-test : a taxonomy for supporting industry-academia communication, Software quality journal, vol. 25, no. 4, pp. 1269-1305, 2017.

[34]                     E. Engström, K. Petersen, N. B. Ali, and E. Bjarnason, SERP-test: a taxonomy for supporting industry–academia communication, Software Quality Journal, vol. 25, no. 4, pp. 1269-1305, 2017.

[35]                     J. Escobar and M. Enqvist, Instrumental Variables and LSM In Continuous-Time Parameter Estimation, ESAIM. COCV, vol. 23, no. 2, pp. 427-442, 2017.

[36]                     N. Fanani, A. Stuerck, M. Ochs, H. Bradler, and R. Mester, Predictive monocular odometry (PMO): What is possible without RANSAC and multiframe bundle adjustment?, Image and Vision Computing, vol. 68, 2017.

[37]                     A. Filieri et al., Control strategies for self-adaptive software systems, ACM Transactions on Autonomous and Adaptive Systems, vol. 11, no. 4, 2017.

[38]                     E. Fitzgerald, U. Körner, and B. Landfeldt, An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF), Telecommunication Systems, vol. 66, no. 2, pp. 197-215, 2017.

[39]                     T. Forsberg, J. Wernehag, A. Nejdel, H. Sjöland, and M. Törmänen, Two mm-Wave VCOs in 28-nm UTBB FD-SOI CMOS, IEEE Microwave and Wireless Components Letters, vol. 27, no. 5, pp. 509-511, 2017.

[40]                     Y. Fouquet, D. Nace, M. Pióro, and M. Poss, An optimization framework for traffic restoration in optical wireless networks with partial link failures, Optical Switching and Networking, vol. 23, pp. 108-117, 2017.

[41]                     R. Gangarajaiah, O. Edfors, and L. Liu, An Adaptive QR Decomposition Processor for Carrier Aggregated LTE-A in 28 nm FD-SOI, IEEE Transactions on Circuits and Systems I: Regular Papers, 2017.

[42]                     N. Garcia, H. Wymeersch, E. G. Larsson, A. M. Haimovich, and M. Coulon, Direct Localization for Massive MIMO, IEEE Transactions on Signal Processing, vol. 65, no. 10, pp. 2475-2487, 2017.

[43]                     M. Ghazaei, S. Z. Khong, and B. Bernhardsson, On the Convergence of Iterative Learning Control, Automatica, vol. 78, pp. 266-273, 2017.

[44]                     P. Giselsson, Tight global linear convergence rate bounds for Douglas–Rachford splitting, Journal of Fixed Point Theory and Applications, vol. 19, no. 4, pp. 2241-2270, 2017.

[45]                     P. Giselsson and S. Boyd, Linear Convergence and Metric Selection for Douglas-Rachford Splitting and ADMM, IEEE Transactions on Automatic Control, vol. 62, no. 2, pp. 532-544, 2017.

[46]                     A. Gokceoglu, E. Björnson, E. G. Larsson, and M. Valkama, Spatio-Temporal Waveform Design for Multiuser Massive MIMO Downlink With 1-bit Receivers, IEEE Journal on Selected Topics in Signal Processing, vol. 11, no. 2, pp. 347-362, 2017.

[47]                     C. Gravino and M. Höst, Guest Editorial of Special Section on Software Engineering and Advanced Applications in Information Technology for Software-Intensive Systems, Information and Software Technology, vol. 93, pp. 246-247, 2017.

[48]                     M. Haage et al., Teaching Assembly by Demonstration Using Advanced Human Robot Interaction and a Knowledge Integration Framework, Procedia Manufacturing, vol. 11, pp. 164-173, 2017.

[49]                     M. Hagdrup, R. Johansson, and J. Bagterp Jørgensen, A Riccati-Based Interior Point Method for Efficient Model Predictive Control of SISO Systems, IFAC-PapersOnLine, vol. 50, no. 1, pp. 10672-10678, 2017.

[50]                     M. F. U. Haque, M. T. Pasha, and T. Johansson, Aliasing-Compensated Polar PWM Transmitter, IEEE Transactions on Circuits and Systems – II – Express Briefs, vol. 64, no. 8, pp. 912-916, 2017.

[51]                     P. Harris et al., Performance Characterization of a Real-Time Massive MIMO System with LOS Mobile Channels, IEEE Journal on Selected Areas in Communications, pp. 1244-1253, 2017.

[52]                     K. Hassanli, S. Masoud Sayedi, and J. Wikner, High Resolution Digital Imager Based on Time Multiplexing Algorithm, IEEE Sensors Journal, vol. 17, no. 9, pp. 2831-2840, 2017.

[53]                     D. He, N. Kumar, S. Zeadally, A. Vinel, and L. T. Yang, Efficient and Privacy-Preserving Data Aggregation Scheme for Smart Grid against Internal Adversaries, IEEE Transactions on Smart Grid, vol. 8, no. 5, pp. 2411-2419, 2017.

[54]                     G. Hendeby, F. Gustafsson, N. Wahlström, and S. Gunnarsson, Platform for Teaching Sensor Fusion Using a Smartphone, International Journal of Engineering Education, vol. 33, no. 2B, pp. 781-789, 2017.

[55]                     R. Hiran, N. Carlsson, and N. Shahmehri, Collaborative framework for protection against attacks targeting BGP and edge networks, Computer Networks, vol. 122, pp. 120-137, 2017.

[56]                     S. Hu, H. Kröll, Q. Huang, and F. Rusek, Optimal Channel Shortener Design for Reduced-State Soft-Output Viterbi Equalizer in Single-Carrier Systems, IEEE Transactions on Communications, pp. 2568-2582, 2017.

[57]                     S. Hu and F. Rusek, A Soft-Output MIMO Detector with Achievable Information Rate based Partial Marginalization, IEEE Transactions on Signal Processing, vol. 65, no. 6, pp. 1622-1627, 2017.

[58]                     S. Hu and F. Rusek, A Generalized Zero-Forcing Precoder with Successive Dirty-Paper Coding in MISO Broadcast Channels, IEEE Transactions on Wireless Communications, vol. 16, no. 6, pp. 3632-3645, 2017.

[59]                     M. Hübel et al., Modelling and simulation of a coal-fired power plant for start-up optimisation, Applied Energy, vol. 208, pp. 319-331, 2017.

[60]                     C. Ingemarsson, P. Källström, F. Qureshi, and O. Gustafsson, Efficient FPGA Mapping of Pipeline SDF FFT Cores, IEEE Transactions on Very Large Scale Integration (vlsi) Systems, vol. 25, no. 9, pp. 2486-2497, 2017.

[61]                     G. Ingesson, L. Yin, R. Johansson, and P. Tunestål, PI-Controller Design for Combustion-Timing Feedback, from n-Heptane to iso-Octane in Compression-Ignition Engines, ASME Journal of Dynamic Systems, Measurement and Control, 2017.

[62]                     G. Ingesson, L. Yin, R. Johansson, and P. Tunestål, An investigation on ignition-delay modelling for control, International Journal of Powertrains, vol. 6, no. 3, pp. 282-306, 2017.

[63]                     B. A. Johnsson and B. Magnusson, Towards end-user development of graphical user interfaces for internet of things, Future Generation Computer Systems, 2017.

[64]                     D. Jönsson and Y. Anders, Correlated Photon Mapping for Interactive Global Illumination of Time-Varying Volumetric Data, IEEE Transactions on Visualization and Computer Graphics, vol. 23, no. 1, pp. 901-910, 2017.

[65]                     M. Karaca, S. Bastani, and B. Landfeldt, Modifying Backoff Freezing Mechanism to Optimize Dense IEEE 802.11 Networks, IEEE Transactions on Vehicular Technology, vol. 66, no. 10, pp. 9470-9482, 2017.

[66]                     M. Karlsson, E. Björnson, and E. G. Larsson, Jamming a TDD Point-to-Point Link Using Reciprocity-Based MIMO, IEEE Transactions on Information Forensics and Security, vol. 12, no. 12, pp. 2957-2970, 2017.

[67]                     R. Karlsson and F. Gustafsson, The Future of Automotive Localization Algorithms : Available, reliable, and scalable localization: Anywhere and anytime, IEEE Signal Processing Magazine (Print), vol. 34, no. 2, pp. 60-69, 2017.

[68]                     A. Karttunen, C. Gustafson, A. F. Molisch, J. Jarvelainen, and K. Haneda, Censored Multipath Component Cross-Polarization Ratio Modeling, IEEE Wireless Communications Letters, vol. 6, no. 1, pp. 82-85, 2017.

[69]                     S. Khoshfetrat Pakazad, A. Hansson, M. S. Andersen, and A. Rantzer, Distributed Semidefinite Programming with Application to Large-scale System Analysis, IEEE Transactions on Automatic Control, no. 99, 2017.

[70]                     K. Kunert, M. Jonsson, A. Böhm, and T. Nordström, Providing Efficient Support for Real-Time Guarantees in a Fibre-Optic AWG-Based Network for Embedded Systems, Optical Switching and Networkning Journal, vol. 24, pp. 47-56, 2017.

[71]                     A. Laptev and S. M. Sasane, Perturbations of embedded eigenvalues for a magnetic Schrödinger operator on a cylinder, Journal of Mathematical Physics, vol. 58, no. 1, 2017.

[72]                     E. G. Larsson, No Downlink Pilots Are Needed in TDD Massive MIMO, IEEE Transactions on Wireless Communications, vol. 16, no. 5, pp. 2921-2935, 2017.

[73]                     E. G. Larsson, D. Danev, M. Olofsson, and S. Sörman, Teaching the Principles of Massive MIMO, IEEE Signal Processing Magazine (Print), vol. 34, no. 1, pp. 40-47, 2017.

[74]                     H. Li, B. K. Lau, and S. He, Design of closely packed pattern reconfigurable antenna array for MIMO terminals, IEEE Transactions on Antennas and Propagation, vol. 65, no. 9, pp. 4891-4896, 2017.

[75]                     H. Li, A. Tsiaras, and B. K. Lau, Analysis and estimation of MIMO-SAR for multi-antenna mobile handsets, IEEE Transactions on Antennas and Propagation, pp. 1522-1527, 2017.

[76]                     X. Li, E. Björnson, E. G. Larsson, S. Zhou, and J. Wang, Massive MIMO with multi-cell MMSE processing: exploiting all pilots for interference suppression, EURASIP Journal on Wireless Communications and Networking, 2017, Art. no. 117.

[77]                     Z. Li et al., Cellular traction forces, Nanoscale, vol. 9, no. 48, pp. 19039-19044, 2017.

[78]                     J. Linder and M. Enqvist, Identification of systems with unknown inputs using indirect input measurements, International Journal of Control, vol. 90, no. 4, pp. 729-745, 2017.

[79]                     J. Liu, X. Zhang, K. Blow, and S. Fowler, Performance analysis of packet layer FEC codes and interleaving in FSO channels, IET Communications, vol. 11, no. 13, pp. 2042-2048, 2017.

[80]                     Y. Liu, L. Liu, and V. Öwall, Architecture Design of a Memory Subsystem for Massive MIMO Baseband Processing, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, pp. 2976-2980, 2017.

[81]                     K. Lundahl, E. Frisk, and L. Nielsen, Implications of path tolerance and path characteristics on critical vehicle manoeuvres, Vehicle System Dynamics, vol. 55, no. 12, pp. 1909-1945, 2017.

[82]                     D. Madjidian, L. Mirkin, and A. Rantzer, H2 Optimal Coordination of Homogeneous Agents Subject to Limited Information Exchange, IEEE Transactions on Automatic Control, vol. 62, no. 3, pp. 1424-1430, 2017.

[83]                     M. Maggio, J. Lelli, and E. Bini, rt-muse, Real-Time Systems, vol. 53, no. 6, pp. 857-885, 2017.

[84]                     A. Maglyas, U. Nikula, K. Smolander, and S. Fricker, Core software product management activities, Journal of Advances in Management Research, vol. 14, no. 1, pp. 23-45, 2017.

[85]                     K. Mahler, W. Keusgen, F. Tufvesson, T. Zemen, and G. Caire, Measurement-Based Wideband Analysis of Dynamic Multipath Propagation in Vehicular Communication Scenarios, IEEE Transactions on Vehicular Technology, vol. 66, no. 6, pp. 4657-4667, 2017.

[86]                     K. Mahler, W. Keusgen, F. Tufvesson, T. Zemen, and G. Caire, Tracking of Wideband Multipath Components in a Vehicular Communication Scenario, IEEE Transactions on Vehicular Technology, vol. 66, no. 1, pp. 15-25, 2017.

[87]                     S. Malkowsky et al., The World’s First Real-Time Testbed for Massive MIMO: Design, Implementation, and Validation, IEEE Access, pp. 9073-9088, 2017.

[88]                     M. L. R. Menezes et al., Towards emotion recognition for virtual environments : an evaluation of eeg features on benchmark dataset, Personal and Ubiquitous Computing, vol. 21, no. 6, pp. 1003-1013, 2017.

[89]                     P. Mercader, K. Soltesz, and A. Baños, Robust PID Design by Chance-Constrained Optimization, Journal of the Franklin Institute, vol. 354, no. 18, pp. 8217-8231, 2017.

[90]                     Z. Miers and B. K. Lau, On characteristic eigenvalues of complex media in surface integral formulations, IEEE Antennas and Wireless Propagation Letters, vol. 16, no. 1, pp. 1820-1823, 2017.

[91]                     V. Millnert, E. Bini, and J. Eker, AutoSAC: automatic scaling and admission control of forwarding graphs, Annales des Telecommunications, 2017.

[92]                     V. Millnert, J. Eker, and E. Bini, Feedback for increased robustness of forwarding graphs in the cloud, Journal of Systems Architecture, vol. 80, no. 1383-7621, pp. 68-76, 2017.

[93]                     C. Mollén, J. Choi, E. G. Larsson, and R. W. Heath, Uplink Performance of Wideband Massive MIMO With One-Bit ADCs, IEEE Transactions on Wireless Communications, vol. 16, no. 1, pp. 87-100, 2017.

[94]                     S. Moloudi, M. Lentmaier, and A. Graell i Amat, Spatially Coupled Turbo-Like Codes, IEEE Transactions on Information Theory, vol. 63, no. 10, pp. 6199-6215, 2017.

[95]                     H. Munir, P. Runeson, and K. Wnuk, A theory of openness for software engineering tools in software organizations, Information and Software Technology, 2017.

[96]                     T. Nawaz, A. Berg, J. Ferryman, J. Ahlberg, and M. Felsberg, Effective evaluation of privacy protection techniques in visible and thermal imagery, Journal of Electronic Imaging (JEI), vol. 26, no. 5, 2017, Art. no. 051408.

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[123]                   K. Soltesz et al., Closed-loop Prevention of Hypotension in the Heartbeating Brain-dead Porcine Model, IEEE Transactions on Biomedical Engineering, vol. 64, no. 6, pp. 1310-1317, 2017.

[124]                   L. Song, K. K. Chai, Y. Chen, J. Schormans, J. Loo, and A. Vinel, QoS-Aware Energy-Efficient Cooperative Scheme for Cluster-Based IoT Systems, IEEE Systems Journal, vol. 11, no. 3, pp. 1447-1455, 2017.

[125]                   S. M. Sulaman, A. Beer, M. Felderer, and M. Höst, Comparison of the FMEA and STPA safety analysis methods–a case study, Software Quality Journal, 2017.

[126]                   R. B. Svensson and B. Regnell, Is role playing in Requirements Engineering Education increasing learning outcome?, Requirements Engineering, vol. 22, no. 4, pp. 475-489, 2017.

[127]                   L. Svärm, O. Enqvist, F. Kahl, and M. Oskarsson, City-Scale Localization for Cameras with Known Vertical Direction, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 7, pp. 1455-1461, 2017.

[128]                   S. Thellman, A. Silvervarg, and T. Ziemke, Folk-Psychological Interpretation of Human vs. Humanoid Robot Behavior: Exploring the Intentional Stance toward Robots, Frontiers in Psychology, vol. 8, 2017, Art. no. 1962.

[129]                   T. Tired, P. Sandrup, A. Nejdel, J. Wernehag, and H. Sjöland, System simulations of a 1.5 V SiGe 81-86 GHz E-band transmitter, Analog Integrated Circuits and Signal Processing, vol. 90, no. 2, pp. 333-349, 2017.

[130]                   E. A. Topp, Interaction Patterns in Human Augmented Mapping, Advanced Robotics, vol. 31, no. 5, pp. 258-267, 2017.

[131]                   W. Tärneberg et al., Dynamic application placement in the Mobile Cloud Network, Future Generation Computer Systems, vol. 70, pp. 163-177, 2017.

[132]                   I. ud Din, J. Wernehag, S. Andersson, and H. Sjöland, Two Tunable Frequency Duplexer Architectures for Cellular Transceivers, IEEE Transactions on Circuits and Systems I: Regular Papers, 2017.

[133]                   I. Ukhov, P. I. Eles, and Z. Peng, Probabilistic Analysis of Electronic Systems via Adaptive Hierarchical Interpolation, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 36, no. 11, pp. 1883-1896, 2017.

[134]                   N. Ul Hassan, A. E. Pusane, M. Lentmaier, G. P. Fettweis, and D. J. Costello, Jr., Non-Uniform Window Decoding Schedules for Spatially Coupled LDPC Codes, IEEE Transactions on Communications, vol. 65, no. 2, pp. 501-510, 2017.

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[136]                   V. Unnikrishnan and M. Vesterbacka, Mitigation of Sampling Errors in VCO-Based ADCs, IEEE Transactions on Circuits and Systems Part 1: Regular Papers, vol. 64, no. 7, pp. 1730-1739, 2017.

[137]                   M. Usman, R. Britto, J. Börstler, and E. Mendes, Taxonomies in software engineering : A Systematic mapping study and a revised taxonomy development method, Information and Software Technology, vol. 85, pp. 43-59, 2017.

[138]                   M. Usman, J. Börstler, and K. Petersen, An Effort Estimation Taxonomy for Agile Software Development, International Journal of Software Engineering and Knowledge Engineering, vol. 27, no. 4, pp. 641-674, 2017.

[139]                   K. Wang et al., Distributed Energy Management for Vehicle-to-Grid Networks, IEEE Network, vol. 31, no. 2, pp. 22-28, 2017.

[140]                   K. Wang et al., Wireless Big Data Computing in Smart Grid, IEEE wireless communications, vol. 24, no. 2, pp. 58-64, 2017.

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[143]                   J. Vieira, F. Rusek, O. Edfors, S. Malkowsky, L. Liu, and F. Tufvesson, Reciprocity Calibration for Massive MIMO: Proposal, Modeling and Validation, IEEE Transactions on Wireless Communications, vol. 16, no. 5, pp. 3042-3056, 2017.

[144]                   J. Wilk, L. Andersson, L. P. Graham, J. Wikner, S. Mokwatlo, and B. Petja, From forecasts to action – What is needed to make seasonal forecasts useful for South African smallholder farmers?, International Journal of Disaster Risk Reduction, vol. 25, pp. 202-211, 2017.

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[146]                   K. Vrotsou et al., A time-geographic approach for visualizing the paths of intervention for persons with severe mental illness, Geografiska Annaler. Series B, Human Geography, vol. 99, no. 4, pp. 341-359, 2017.

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[149]                   T. Yang, L. Yin, G. Ingesson, P. Tunestal, R. Johansson, and W. Long, Control-Oriented Modeling of Soot Emissions in Gasoline Partially Premixed Combustion with Pilot Injection, SAE Technical Papers, vol. 2017-March, no. March, 2017.

[150]                   F. Yin, Y. Zhao, F. Gunnarsson, and F. Gustafsson, Received-Signal-Strength Threshold Optimization Using Gaussian Processes, IEEE Transactions on Signal Processing, vol. 65, no. 8, pp. 2164-2177, 2017.

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Scientific peer- reviewed conference papers

 

[1]                       J. Alvén, F. Kahl, M. Landgren, V. Larsson, and J. Ulén, Shape-aware multi-atlas segmentation, in 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, 2016/12/04-2016/12/08, Institute of Electrical and Electronics Engineers Inc., 2017.

[2]                       F. Andersson, J. O. A. Robertsson, D. J. Van Manen, J. Wittsten, K. Eggenberger, and L. Amundsen, Flawless diamond reconstruction for simultaneous source separation, in 79th EAGE Conference and Exhibition 2017, Energy, Technology, Sustainability – Time to Open a New Chapter, Paris, 2017/06/12-2017/06/15, European Association of Geoscientists and Engineers, EAGE, 2017.

[3]                       J. A. Andersson, S. Höst, D. Cederholm, and M. Kihl, Physical Layer Disturbances and Network Layer Packet Loss relation in an OFDM Based System, in, Swedish National Computer Networking Workshop, 2017.

[4]                       O. Andersson, M. Wzorek, and P. Doherty, Deep Learning Quadcopter Control via Risk-Aware Active Learning, presented at the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017, San Francisco, February 4–9, 2017.

[5]                       P. Angelov, M. Nielsen Lönn, and A. Alvandpour, Ring-oscillator-based timing generator for ultralow-power applications, presented at the IEEE Nordic Circuits and Systems Conference (NORCAS) / NORCHIP and International Symposium of System-on-Chip (SoC), 2017.

[6]                       M. Aramrattana, C. Englund, J. Jansson, T. Larsson, and A. Nåbo, Safety Analysis of Cooperative Adaptive Cruise Control in Vehicle Cut-in Situations, presented at the 4th International Symposium on Future Active Safety Technology towards Zero-Traffic-Accidents (FAST-Zero’17), Nara, Japan, 18-22 September, 2017.

[7]                       M. Aramrattana, T. Larsson, C. Englund, J. Jansson, and A. Nåbo, Simulation of Cut-In by Manually Driven Vehicles in Platooning Scenarios, presented at the 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Kanagawa, Japan, 16-19 October, 2017.

[8]                       H. Araujo, G. Carvalho, A. Sampaio, M. R. Mousavi, and M. Taromirad, A Process for Sound Conformance Testing of Cyber-Physical Systems, presented at the 10th IEEE International Conference on Software Testing, Verification and Validation (ICSTW), Tokyo, Japan, March 13-17, 2017, Los Alamitos, CA, 2017.

[9]                       M. A. Arslan, F. Gruian, K. Kuchcinski, and A. Karlsson, Code Generation for a SIMD Architecture with Custom Memory Organisation, in Conference on Design & Architectures for Signal & Image Processing (DASIP 2016), Rennes, 2016/10/12-2016/10/14, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[10]                     A. Arvanitaki and N. Pappas, Modeling of a UAV-based Data Collection System, presented at the IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2017.

[11]                     S. Asif and M. Vesterbacka, An RNS Based Modular Multiplier with Reduced Complexity, presented at the IEEE Nordic Circuits and Systems Conference (NORCAS) / NORCHIP and International Symposium of System-on-Chip (SoC), 2017.

[12]                     M. Asplund, J. Lövhall, and E. Villani, Specification, Implementation and Verification of Dynamic Group Membership for Vehicle Coordination, presented at the 2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing (PRDC), 2017.

[13]                     Avgouleas, N. Pappas, and V. Angelakis, Scheduling Services on an IoT Device Under Time-Weighted Pricing, presented at the IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, Canada, October 08-13, 2017.

[14]                     F. Bagge Carlson, A. Robertsson, and R. Johansson, Linear Parameter-Varying Spectral Decomposition, in 2017 American Control Conference, Seattle, 2017/05/24-2017/05/26, Institute of Electrical and Electronics Engineers Inc., 2017.

[15]                     R. Bagger and H. Sjoland, Broadband LDMOS 40 W and 55 W integrated power amplifiers, in 2017 IEEE MTT-S International Microwave Symposium, IMS 2017, Honololu, 2017/06/04-2017/06/09, Institute of Electrical and Electronics Engineers Inc., 2017.

[16]                     J. Batstone, M. Oskarsson, and K. Åström, Towards Real-time Time-of-Arrival Self-Calibration using Ultra-Wideband Anchors, in International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2017 , Sapporo, 2017/09/18-2017/09/21, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[17]                     E. Bayuh Lakew, A. V. Papadopoulos, M. Maggio, C. Klein, and E. Elmroth, KPI-agnostic Control for Fine-Grained Vertical Elasticity, in 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Madrid, 2017/05/14-2017/05/17, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[18]                     E. Belyaev, S. Moreschini, and A. Vinel, Uncoordinated multi-user video streaming in VANETs using Skype, presented at the 2017 IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Lund, Sweden, 19-21 June, 2017.

[19]                     A. Bergström, G. Hendeby, F. Gunnarsson, and F. Gustafsson, TOA Estimation Improvements in Multipath Environments by Measurement Error Models, presented at the IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 08-13 October 2017 – Montreal, QC, Canada, 2017.

[20]                     Berner and K. Soltesz, Short and Robust Experiments in Relay Autotuners, in 22nd IEEE International Conference on Emerging Technologies and Factory Automation; ETFA2017, Limassol, 2017/09/12-2017/09/15, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[21]                     J. Berner, K. Soltesz, K. J. Åström, and T. Hägglund, Practical Evaluation of a Novel Multivariable Relay Autotuner with Short and Efficient Excitation, in IEEE Conference on Control Technology and Applications, CCTA 2017, Kohala Coast, 2017/08/27-2017/08/30, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[22]                     E.Bertilsson, O. Gustafsson and E. G. Larsson, Computation Limited Matrix Inversion Using Neumann Series Expansion for Massive MIMO, 2017 Fifty-first asilomar conference on signals, systems, and computers, 466-469, 2017.

[23]                     E. Bezati, S. C. Brunet, M. Mattavelli, and J. W. Janneck, High-level system synthesis and optimization of dataflow programs for MPSoCs, in 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, 2016/11/06-2016/11/09, IEEE Computer Society, 2017.

[24]                     E. Björnson, J. Hoydis, and L. Sanguinetti, Pilot Contamination is Not a Fundamental Asymptotic Limitation in Massive MIMO, presented at the IEEE International Conference on Communications (ICC), 2017.

[25]                     F. Boeira, M. Barcellos, E. Pignaton de Freitas, A. Vinel, and M. Asplund, On the impact of sybil attacks in cooperative driving scenarios, presented at the 2017 IFIP Networking Conference (IFIP Networking) and Workshops, Stockholm, Sweden, 12-16 June, 2017.

[26]                     F. Boeira, M. P. Barcellos, E. Pignaton de Freitas, A. Vinel, and M. Asplund, Effects of Colluding Sybil Nodes in Message Falsification Attacks for Vehicular Platooning, presented at the 2017 IEEE Vehicular Networking Conference (VNC), Torino, Italy, November 27-29, 2017.

[27]                     T. Boonphoka et al., Performance Analysis of Full-Duplex Relay Channel with Random Access, presented at the 36th IEEE Global Communications Conference (GLOBECOM), 2017.

[28]                     Borg, E. Alegroth, and P. Runeson, Software Engineers’ Information Seeking Behavior in Change Impact Analysis – An Interview Study, in 25th IEEE International Conference on Program Comprehension, ICPC 2017, Buenos Aires, 2017/05/22-2017/05/23, IEEE Computer Society, 2017.

[29]                     Borg, I. Lennerstad, R. Ros, and E. Bjarnason, On Using Active Learning and Self-Training when Mining Performance Discussions on Stack Overflow, in 21st International Conference on Evaluation and Assessment in Software Engineering (EASE’17), Karlskrona, 2017/06/15-2017/06/16, ACM, 2017.

[30]                     H. Bradler, M. Ochs, N. Fanani, and R. Mester, Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences, presented at the 17th IEEE Winter Conference on Applications of Computer Vision (WACV), 2017.

[31]                     A. R. Braga, C. Fritsche, M. G. S. Bruno, and F. Gustafsson, Rapid System Identification for Jump Markov Non-Linear Systems, presented at the 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, Dutch Antilles, Dec. 10-13, 2017.

[32]                     R. Braga, C. Fritsche, F. Gustafsson, and M. G. S. Bruno, Gradient-Based Recursive Maximum Likelihood Identification of Jump Markov Non-Linear Systems, presented at the 20th International Conference on Information Fusion (Fusion), 2017.

[33]                     R. Braun, A. Asghar, A. Pop, and D. Fritzson, An Open-Source Framework for Efficient Co-simulation of Fluid Power Systems, presented at the The 15th Scandinavian International Conference on Fluid Power, SICFP’17, June 7-9 2017 Linköping, Sweden, Linköping, 2017.

[34]                     E. Bylow, C. Olsson, and F. Kahl, Robust Online 3D Reconstruction Combining a Depth Sensor and Sparse Feature Points, in 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, 2016/12/04-2016/12/08, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[35]                     Capurso, M. Ghazaei, R. Johansson, A. Robertsson, and P. Rocco, Sensorless Kinesthetic Teaching of Robotic Manipulators Assisted by Observer-Based Force Control, in IEEE International Conference on Robotics and Automation (ICRA 2017) , 2017/05/29-2017/06/03, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[36]                     Chandhar, D. Danev, and E. G. Larsson, On the Outage Capacity in Massive MIMO with Line-of-Sight, presented at the 18th IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC), 2017.

[37]                     Chen, Z. Chen, N. Pappas, D. Yuan, and J. Zhang, Modeling and Analysis of MPTCP Proxy-based LTE-WLAN Path Aggregation, presented at the IEEE Global Communications Conference (GLOBECOM), Singapore, December 4-8, 2017.

[38]                     Z. Chen and E. Björnson, Can We Rely on Channel Hardening in Cell-Free Massive MIMO?, presented at the 36th IEEE Global Communications Conference (GLOBECOM), 2017.

[39]                     Z. Chen, N. Pappas, and M. Kountouris, Energy Harvesting in Delay-Aware Cognitive Shared Access Networks, presented at the IEEE International Conference on Communications (ICC) Workshops, 2017.

[40]                     V. Cheng, E. Björnson, and E. G. Larsson, NOMA in Multiuser MIMO Systems with Imperfect CSI, presented at the 18th IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC), 2017.

[41]                     M. C. Coskun, G. Liva, A. Graell i Amat, and M. Lentmaier, Successive Cancellation Decoding of Single Parity-Check Product Codes, in IEEE International Symposium on Information Theory (ISIT), 2017, Aachen, 2017/06/25-2017/06/30, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[42]                     F. D’Andreagiovanni, D. Nace, M. Pioro, M. Foss, M. Shehaj, and A. Tomaszewski, On robust FSO network dimensioning, in 9th International Workshop on Resilient Networks Design and Modeling, RNDM 2017, Alghero, 2017/09/04-2017/09/06, Institute of Electrical and Electronics Engineers Inc., 2017.

[43]                     M. Danelljan, G. Bhat, F. Khan, and M. Felsberg, ECO: Efficient Convolution Operators for Tracking, presented at the 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

[44]                     N. Daneshfar, N. Pappas, and V. Angelakis, Poster Abstract: Resource Allocation with Service Availability & QoS Constraints in Mobile Fog Networks, presented at the IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2017.

[45]                     F. L. De Angelis, G. D. M. Serugendo, B. Dunin-Keplicz, and A. Szalas, Heterogeneous Approximate Reasoning with Graded Truth Values, presented at the International Joint Conference on Rough Sets (IJCRS), 2017.

[46]                     E. de Carvalho, E. Björnson, J. H. Sorensen, E. G. Larsson, and P. Popovski, Random Pilot and Data Access in Massive MIMO for Machine-Type Communications, 41st IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 16, no. 12, pp. 7703-7717, 2017.

[47]                     A. De Freitas, C. Fritsche, L. Mihaylova, and F. Gunnarsson, A Novel Measurement Processing Approach to the Parallel Expectation Propagation Unscented Kalman Filter, presented at the 20th International Conference on Information Fusion (Fusion), 2017.

[48]                     de Leng and F. Heintz, Towards Adaptive Semantic Subscriptions for Stream Reasoning in the Robot Operating System, presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.

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[102]                   J. Johnander, M. Danelljan, F. S. Khan, and M. Felsberg, DCCO : Towards Deformable Continuous Convolution Operators for Visual Tracking, presented at the 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I, 2017.

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[105]                   Järemo-Lawin, M. Danelljan, P. Tosteberg, G. Bhat, F. S. Khan, and M. Felsberg, Deep Projective 3D Semantic Segmentation, presented at the 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I, 2017.

[106]                   Kargén and N. Shahmehri, Towards Robust Instruction-Level Trace Alignment of Binary Code, presented at the 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2017.

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[108]                   M. Karlsson and F. Karlsson, Cooperative Indoor Positioning by Exchange of Bluetooth Signals and State Estimates Between Users, in European Control Conference, 2016 , Aalborg, 2016/06/29-2016/07/01, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[109]                   M. Karlsson, A. Robertsson, and R. Johansson, Autonomous Interpretation of Demonstrations for Modification of Dynamical Movement Primitives, in, Institute of Electrical and Electronics Engineers Inc., 2017.

[110]                   P. Kasebzadeh, G. Hendeby, C. Fritsche, F. Gunnarsson, and F. Gustafsson, IMU Dataset For Motion and Device Mode Classification, presented at the 8th International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2017.

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[112]                   M. Klang and P. Nugues, Docforia: A Multilayer Document Model, in 21st Nordic Conference of Computational Linguistics, Gothenburg, 2017/05/23-2017/05/24, Linköping University Electronic Press, 2017.

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[114]                   Kosta, N. Pappas, A. Ephremides, and V. Angelakis, Age and Value of Information: Non-linear Age Case, presented at the IEEE International Symposium on Information Theory (ISIT) 2017.

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[117]                   M. Lager, E. A. Topp, and J. Malec, Underwater Terrain Navigation Using Standard Sea Charts and Magnetic Field Maps, in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), Daegu, 2017/11/16-2017/11/18, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

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[130]                   J. Linåker and K. Wnuk, Requirements analysis and management for benefiting openness, in 24th IEEE International Requirements Engineering Conference Workshops, REW 2016, Beijing, 2016/09/12-2016/09/16, Institute of Electrical and Electronics Engineers Inc., 2017.

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[132]                   M. Maggio, A. V. Papadopoulos, A. Filieri, and H. Hoffmann, Self-Adaptive Video Encoder, in 12th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017, Buenos Aires, 2017/05/22-2017/05/23, Institute of Electrical and Electronics Engineers Inc, 2017.

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[139]                   D. Medved, P. Nugues, and J. Nilsson, Predicting the Outcome for Patients in a Heart Transplantation Queue using Deep Learning, in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, SEOGWIPO City, 2017/07/11-2017/07/15, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

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[155]                   M. Morsali, F. Mohseni, and E. Frisk, Deterministic Path Planning for Non-Holonomic Vehicles Including Friction and Steer Rate Limitations, presented at the IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2017.

[156]                   K. Moudgalya, B. Nemmaru, K. Datta, P. Nayak, P. Fritzson, and Adrian Pop, Large Scale Training through Spoken Tutorials to Promote and use OpenModelica. In Proceedings of the 12th International Modelica Conference (Modelica’2017), Prague, Czech Republic, May, 15-17, 2017.

[157]                   Mourao, M. Kalinowski, L. Murta, E. Mendes, and C. Wohlin, Investigating the Use of a Hybrid Search Strategy for Systematic Reviews, presented at the 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Toronto, 2017.

[158]                   M. S. Mushtaq, S. Fowler, and A. Mellouk, Power Saving Model for Mobile Device and Virtual Base Station in the 5G Era, presented at the IEEE International Conference on Communications (ICC), 2017.

[159]                   K. Narasimhan, C. Reichenbach, and J. Lawall, Interactive data representation migration: exploiting program dependence to aid program transformation, in the 2017 ACM SIGPLAN Workshop, 2017/01/16-2017/01/17, ACM, 2017.

[160]                   Nayak Seetanadi, M. Maggio, K.-E. Årzén, L. Almeida, and L. Oliveira, Game-Theoretic Network Bandwidth Distribution for Self-Adaptive Cameras,in The 15th International Workshop on Real-Time Networks, Dubrovnik, 2017

[161]                   Q. Ngo, L.-N. Tran, T. Q. Duong, M. Matthaiou, and E. G. Larsson, Energy Efficiency Optimization for Cell-Free Massive MIMO, presented at the 18th IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC), Sapporo, Japan, 3-7 July 2017.

[162]                   M. Nielsen Lönn, P. Angelov, J. Wikner, and A. Alvandpour, Self-oscillating multilevel switched-capacitor DC/DC converter for energy harvesting, presented at the IEEE Nordic Circuits and Systems Conference (NORCAS) / NORCHIP and International Symposium of System-on-Chip (SoC), 2017.

[163]                   M. Niknafs, I. Ukhov, P. I. Eles, and Z. Peng, Two-Phase Interarrival Time Prediction for Runtime Resource Management, presented at the 20th Euromicro Conference on Digital System Design (DSD), 2017.

[164]                   M. Niknafs, I. Ukhov, P. I. Eles, and Z. Peng, Workload Prediction for Runtime Resource Management, presented at the IEEE Nordic Circuits and Systems Conference (NORCAS) / NORCHIP and International Symposium of System-on-Chip (SoC), 2017.

[165]                   M. Ochs, H. Bradler, and R. Mester, Learning Rank Reduced Interpolation with Principal Component Analysis, presented at the 28th IEEE Intelligent Vehicles Symposium (IV), 2017.

[166]                   B. Olofsson, B. Bernhardsson, R. Zeng, and P. Andersson, Temperature Control of the ESS Phase Reference Line,in 8th International Particle Accelerator Conference, IPAC 2017, Copenhagen, 2017/05/14-2017/05/19, 2017.

[167]                   C. Olsson, M. Carlsson, F. Andersson, and V. Larsson, Non-convex Rank/Sparsity Regularization and Local Minima, in 16th IEEE International Conference on Computer Vision, ICCV 2017, Venice, 2017/10/22-2017/10/292017-October, Institute of Electrical and Electronics Engineers Inc., 2017.

[168]                   M. Oskarsson, Characterizing the Structure Tensor Using Gamma Distributions, in 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, 2016/12/04-2016/12/08, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[169]                   N. Paladi and L. Karlsson, Safeguarding VNF Credentials with Intel SGX, in, Association for Computing Machinery (ACM), 2017.

[170]                   T. Palmér, G. Bianco, M. Ekvall, L.-A. Hansson, and K. Åström, Calibration, Positioning and Tracking in a Refractive and Reflective Scene, in 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, 2016/12/04-2016/12/08, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[171]                   T. Palmér, K. Åström, and J. M. Frahm, The Misty Three Point Algorithm for Relative Pose, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 , Honolulu, 2017/07/21-2017/07/26, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[172]                   Papatheocharous et al., The GRADE decision canvas for classification and reflection on architecture decisions, presented at the 12th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE, Porto, 2017.

[173]                   N. Pappas, Stability and Delay Analysis of an Adaptive Channel-Aware Random Access Wireless Network, 24th International Conference on Analytical & Stochastic Modelling Techniques and Applications (ASMTA), July 2017.

[174]                   N. Pappas, E. Fountoulakis, C. Tatino, V. Angelakis, and D. Yuan, Pursuing the Potential of New Mechanisms for Performance Engineering of 5G, presented at the IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2017.

[175]                   M. Pioro, I. Kalesnikau, and M. Poss, An optimization model for affine flow thinning – A traffic protection mechanism for FSO networks, in 9th International Workshop on Resilient Networks Design and Modeling, RNDM 2017, Alghero, 2017/09/04-2017/09/06, Institute of Electrical and Electronics Engineers Inc., 2017.

[176]                   A. Pitarokoilis, E. Björnson, and E. G. Larsson, On the effect of imperfect timing synchronization on pilot contamination, presented at the 2017 IEEE International Conference on Communications (ICC), 21-25 May 2017, Paris, France, 2017.

[177]                   Pizzo, D. Verenzuela, L. Sanguinetti, and E. Björnson, Network Deployment for Maximal Energy Efficiency in Uplink with Zero-Forcing, presented at the IEEE Global Communications Conference (GLOBECOM), 2017.

[178]                   I. Popa and C. Sminchisescu, Parametric image segmentation of humans with structural shape priors, in 13th Asian Conference on Computer Vision, ACCV 2016, Taipei, 2016/11/20-2016/11/2410112 LNCS, Springer Verlag, 2017.

[179]                   Prabhu, J. Rodrigues, L. Liu, and O. Edfors, A 60 pJ/b 300 Mb/s 128 × 8 Massive MIMO Precoder-Detector in 28 nm FD-SOI, in, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[180]                   H. Prabhu, J. N. Rodrigues, L. Liu, and O. Edfors, 3.6 A 60pJ/b 300Mb/s 128×8 Massive MIMO precoder-detector in 28nm FD-SOI, in 64th IEEE International Solid-State Circuits Conference, ISSCC 2017, San Francisco, 2017/02/05-2017/02/0960, Institute of Electrical and Electronics Engineers Inc., 2017.

[181]                   Präntare, I. Ragnemalm, and F. Heintz, An Algorithm for Simultaneous Coalition Structure Generation and Task Assignment, presented at the PRIMA International Conference on Principles and Practice of Multi-Agent Systems, Nice, France, 30 October – 3 November, 2017.

[182]                   S. A. Qazi, S. A. A. Shah, H. Omer, and J. Wikner, A High-Resolution Reconfigurable Sigma-Delta Digital-to-Analog Converter for RF Pulse Transmission in MRI Scanners, presented at the IEEE Nordic Circuits and Systems Conference (NORCAS) / NORCHIP and International Symposium of System-on-Chip (SoC), 2017.

[183]                   Radnosrati, G. Hendeby, C. Fritsche, F. Gunnarsson, and F. Gustafsson, Performance of OTDOA Positioning in Narrowband IoT Systems, presented at the 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Montreal, QC, Canada, 08-13 October, 2017.

[184]                   Rak, M. Jonsson, D. Hutchison, and J. P. G. Sterbenz, Disciplines and measures of information resilience, presented at the 19th International Conference on Transparent Optical Networks (ICTON 2017), Girona, Spain, July 2-6, 2017, Piscataway, 2017.

[185]                   Ramazanali, A. Vinel, E. Yavuz, and M. Jonsson, Modeling of LTE DRX in RRC Idle state, presented at the 2017 IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Lund, Sweden, 19-21 June, 2017.

[186]                   Ricciulli and F. Rusek, On cooperation in DVB-S2X receivers through a capacity constrained link, in 2017 International Symposium on Wireless Communication Systems, ISWCS 2017, Bologna, 2017/08/28-2017/08/31, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[187]                   A. Robinson, M. Persson, and M. Felsberg, Robust Accurate Extrinsic Calibration of Static Non-overlapping Cameras, presented at the 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part II, 2017.

[188]                   R. Ros, E. Bjarnason, and P. Runeson, A Machine Learning Approach for Semi-Automated Search and Selection in Literature Studies, in 21st International Conference on Evaluation and Assessment in Software Engineering (EASE’17), Karlskrona, 2017/06/15-2017/06/16, ACM, 2017.

[189]                   R. Ros, E. Bjarnason, and P. Runeson, Automated Controlled Experimentation on Software by Evolutionary Bandit Optimization, in SSBSE 2017 Symposium on Search-Based Software Engineering, Paderborn, 2017/09/09-2017/09/11, Springer Verlag, 2017.

[190]                   Roth and F. Gustafsson, Computation and visualization of posterior densities in scalar nonlinear and non-Gaussian Bayesian filtering and smoothing problems, presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017.

[191]                   P. Rudol and P. Doherty, Bridging Reactive and Control Architectural Layers for Cooperative Missions Using VTOL Platforms, presented at the 25th International Conference on Systems Engineering (ICSEng), 2017.

[192]                   F. Rusek, K. Chitti, and T. Chaitanya, Multiuser Bandwidth Minimization with Individual Rate Requirements for Non-Orthogonal Multiple Access, in 85th IEEE Vehicular Technology Conference, VTC Spring 2017, Sydney, 2017/06/04-2017/06/07, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[193]                   F. Rusek and S. Hu, Sequential Channel Estimation in the Presence of Phase Noise in NB-IoT Systems, in 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017, Montreal, 2017/10/08-2017/10/13, 2017.

[194]                   Sadeghi, E. Björnson, E. G. Larsson, C. Yuen, and T. L. Marzetta, Multigroup Multicast Precoding in Massive MIMO, presented at the IEEE Global Communications Conference (GLOBECOM), 2017.

[195]                   M. Safavi, S. Bastani, and B. Landfeldt, An Online Placement Mechanism for Efficient Delivery of User Generated Content, in IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD), Lund, 2017/06/19-2017/06/21, Institute of Electrical and Electronics Engineers Inc., 2017.

[196]                   M. Safavi, M. Karaca, S. Bastani, and B. Landfeldt, Dynamic Server Provisioning with Queue Stabilization in Data Centres, in 6th IEEE International Conference on Cloud Networking (IEEE CloudNet 2017), Prague, 2017/09/25-2017/09/27, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[197]                   M. Sarajlic, L. Liu, and O. Edfors, An Energy Efficiency Perspective on Massive MIMO Quantization, in 50th Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2016), Pacific Grove, 2016/11/06-2016/11/09, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[198]                   S. Savas, E. Hertz, T. Nordström, and Z. Ul-Abdin, Efficient Single-Precision Floating-Point Division Using Harmonized Parabolic Synthesis, presented at the IEEE Computer Society Annual Symposium on VLSI, July 3-5, 2017, Bochum, Germany, Los Alamitos, 2017.

[199]                   S. Savas, Z. Ul-Abdin, and T. Nordström, Designing Domain Specific Heterogeneous Manycore Architectures Based on Building Blocks, 2017.

[200]                   F. M. Schuffny et al., Zero-Crossing Detector for a Piezoelectric Energy Harvester, presented at the IEEE Nordic Circuits and Systems Conference (NORCAS) / NORCHIP and International Symposium of System-on-Chip (SoC), 2017.

[201]                   Sedano, G. Prieto, K. Brunnstrom, M. Kihl, and J. Montalban, Application of full-reference video quality metrics in IPTV, in 12th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2017, Cagliari, 2017/06/07-2017/06/09, IEEE Computer Society, 2017.

[202]                   Senel, E. Björnson, and E. G. Larsson, Optimal Base Station Design with Limited Fronthaul: Massive Bandwidth or Massive MIMO?, presented at the 36th IEEE Global Communications Conference (GLOBECOM), 2017.

[203]                   Senel and E. G. Larsson, Device Activity and Embedded Information Bit Detection Using AMP in Massive MIMO, presented at the 36th IEEE Global Communications Conference (GLOBECOM), 2017.

[204]                   Senel and S. Tekinay, Optimal Power Allocation in NOMA Systems with Imperfect Channel Estimation, presented at the IEEE Global Communications Conference (GLOBECOM), 2017.

[205]                   S. Shevtsov, D. Weyns, and M. Maggio, Handling New and Changing Requirements with Guarantees in Self-Adaptive Systems using SimCA, in The 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Buenos Aires, 2017/05/22-2017/05/23, Institute of Electrical and Electronics Engineers Inc., 2017.

[206]                   Simayijiang, K. Åström, and K. Källén, Pilot Study of Cardiotocography,in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, SEOGWIPO City, 2017/07/11-2017/07/15,

[207]                   G. Smpokos, A. Lioumpas, T. Mouroutis, Y. Stylianou, and V. Angelakis, Performance Aware Resource Allocation and Traffic Aggregation for User Slices in Wireless HetNets, presented at the IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2017.

[208]                   Stahl, J. Broberg, and B. Landfeldt, Dynamic Fault-Tolerance and Mobility Provisioning for Services on Mobile Cloud Platforms, in 5th IEEE International Conference on Mobile Cloud Computing, Services and Engineering, MobileCloud 2017, San Francisco, 2017/04/07-2017/04/09, Institute of Electrical and Electronics Engineers Inc., 2017.

[209]                   Stenmark, M. Haage, and E. A. Topp, Simplified Programming of Re-usable Skills on a Safe Industrial Robot — Prototype and Evaluation, in, ACM, 2017.

[210]                   Stenmark, M. Haage, E. A. Topp, and J. Malec, Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots, in 11th International Conference on Semantic Computing,IEEE ICSC 2017, San Diego, 2017/01/30-2017/02/01, Institute of Electrical and Electronics Engineers Inc., 2017.

[211]                   M. Stenmark, M. Haage, E. A. Topp, and J. Malec, Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly, in AAAI-17 Workshop on Human-Machine Collaborative Learning, AAAI HMCL 2017  San Francisco, 2017/02/04-2017/02/04, AAAI Press, 2017.

[212]                   M. Stenmark, E. A. Topp, M. Haage, and J. Malec, The Art of Synchronized Dual-Arm Robot Programming, in, 2017.

[213]                   M. A. Storey, E. Engström, M. Höst, P. Runeson, and E. Bjarnason, Using a Visual Abstract as a Lens for Communicating and Promoting Design Science Research in Software Engineering, in 11th International Symposium on Empirical Software Engineering and Measurement (ESEM), 2017, Toronto, 2017/11/09-2017/11/10, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[214]                   E. Sundén, I. Lundgren, and A. Ynnerman, Hybrid Virtual Reality Touch Table : An immersive collaborative platform for public explanatory use of cultural objects and sites, presented at the 15th Eurographics Workshop on Graphics and Cultural Heritage, Graz, Austria, September 27-29, 2017.

[215]                   A. Södergren and P. Nugues, A Multilingual Entity Linker Using PageRank and Semantic Graphs, in 21st Nordic Conference of Computational Linguistics, Gothenburg, 2017/05/23-2017/05/24, Linköping University Electronic Press, 2017.

[216]                   M. Taromirad and M. R. Mousavi, Gray-Box Conformance Testing for Symbolic Reactive State Machines, presented at the 7th International Conference, FSEN 2017, Tehran, Iran, April 26–28, 2017, Heidelberg, 2017.

[217]                   Tatino, I. Malanchini, D. Aziz, and D. Yuan, Beam Based Stochastic Model of the Coverage Probability in 5G Millimeter Wave Systems, presented at the 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2017.

[218]                   S. Thellman, J. Lundberg, M. Arvola, and Z. Tom, What Is It Like to Be a Bot? : Toward More Immediate Wizard-of-Oz Control in Social Human–Robot Interaction, presented at the 5th International Conference on Human Agent Interaction, HAI 2017, Bielefeld, Germany 17-20 October 2017, New York, NY., 2017.

[219]                   T. Tired, H. Sjöland, G. Jönsson, and J. Wernehag, Comparison of two SiGe 2-stage E-band Power Amplifier Architectures, in IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APPCAS 2016), Jeju Island, 2016/10/25-2016/10/2813, Institute of Electrical and Electronics Engineers Inc., 2017.

[220]                   Tirkkonen, Z. Li, L. Wei, and A. Vinel, On-Off Necklace Codes for Asynchronous Mutual Discovery, presented at the 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, Canada, 8-13 Oct. 2017.

[221]                   E. A. Topp, Knowledge for Synchronized Dual-Arm Robot Programming, in AAAI Fall Symposium Series 2017, Arlington, 2017/11/09-2017/11/11, AAAI Press, 2017.

[222]                   Troeng, B. Bernhardsson, and C. Rivetta, Complex-coefficient systems in control, in American Control Conference 2017, Seattle, 2017/05/24-2017/05/26, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[223]                   W. Tärneberg, M. Karaca, A. Robertsson, and M. Kihl, Cross layer control for bounded shared state inconsistency in wireless IoT devices, in 56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, 2017/12/12-2017/12/15, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[224]                   W. Tärneberg, M. Karaca, A. Robertsson, F. Tufvesson, and M. Kihl, Utilizing Massive MIMO for the Tactile Internet: Advantages and Trade-offs, in IEEE SECON Workshops – Robotic Wireless Networks, San Diego, 2017/06/12-2017/06/12, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[225]                   W. Tärneberg, A. Papadopoulos Vittorio, A. Mehta, J. Tordsson, and M. Kihl, Distributed Approach to the Holistic Resource Management of a Mobile Cloud Network, in, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[226]                   M. Wadenbäck, M. Karlsson, A. Heyden, A. Robertsson, and R. Johansson, Visual Odometry from Two Point Correspondences and Initial Automatic Tilt Calibration, in 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), Porto, 2017/02/27-2017/03/016, SciTePress, 2017.

[227]                   A. Wallin and P. Nugues, Coreference Resolution for Swedish and German using Distant Supervision, in 21st Nordic Conference of Computational Linguistics, Gothenburg, 2017/05/23-2017/05/24, Linköping University Electronic Press, 2017.

[228]                   T. Van Chien, E. Björnson, and E. G. Larsson, Joint Pilot Sequence Design and Power Control for Max-Min Fairness in Uplink Massive MIMO, presented at the IEEE International Conference on Communications, Paris, France, 21-25 May 2017.

[229]                   van den Brand, M. Ochs, and R. Mester, Instance-Level Segmentation of Vehicles by Deep Contours, presented at the 13th Asian Conference on Computer Vision (ACCV), 2017.

[230]                   J. Van Manen, J. O. A. Robertsson, K. Eggenberger, and F. Andersson, Anti-aliased non-periodic source separation, in 79th EAGE Conference and Exhibition 2017, Energy, Technology, Sustainability – Time to Open a New Chapter, Paris, 2017/06/12-2017/06/15, European Association of Geoscientists and Engineers, EAGE, 2017.

[231]                   Verenzuela, E. Björnson, and M. Matthaiou, Per-antenna hardware optimization and mixed resolution ADCs in uplink massive MIMO, presented at the 2017 51st Asilomar Conference on Signals, Systems, and Computers. Date of Conference: 29 Oct.-1 Nov. 2017.Conference Location: Pacific Grove, CA, USA., 2017.

[232]                   Verenzuela, E. Björnson, and L. Sanguinetti, Joint UL and DL Spectral Efficiency Optimization of Superimposed Pilots in Massive MIMO, presented at the 4-8 Dec 2017 Globecom Workshops (GC Wkshps), Singapore, Singapore, 2017.

[233]                   D. Verenzuela, E. Björnson, and L. Sanguinetti, Spectral Efficiency of Superimposed Pilots in Uplink Massive MIMO Systems, presented at the IEEE Global Communications Conference (GLOBECOM), 2017.

[234]                   Vinogradova, E. Björnson, and E. G. Larsson, JAMMING MASSIVE MIMO USING MASSIVE MIMO: ASYMPTOTIC SEPARABILITY RESULTS, presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017.

[235]                   D. Vlastaras, R. Whiton, and F. Tufvesson, A model for power contributions from diffraction around a truck in Vehicle-to-Vehicle communications, in, Institute of Electrical and Electronics Engineers Inc., 2017.

[236]                   M. Wzorek, C. Berger, and P. Doherty, A Framework for Safe Navigation of Unmanned Aerial Vehicles in Unknown Environments, presented at the 25th International Conference on Systems Engineering (ICSEng), 2017.

[237]                   M. Wzorek, P. Rudol, G. Conte, and P. Doherty, LinkBoard : Advanced Flight Control System for Micro Unmanned Aerial Vehicles, presented at the 2nd International Conference on Control and Robotics Engineering (ICCRE), 2017.

[238]                   T. Yang, L. Yin, G. Ingesson, P. Tunestål, R. Johansson, and W.-Q. Long, Simultaneous control of soot emissions and pressure rise rate in gasoline PPC engine, in, IEEE–Institute of Electrical and Electronics Engineers Inc., 2017.

[239]                   Yin, G. Ingesson, R. Johansson, P. Tunestal, and J. K. Hedrick, Nonlinear air-path control of a heavy-duty diesel engine – A Receding Horizon Sliding Control approach, in 2017 American Control Conference, ACC 2017, Seattle, 2017/05/24-2017/05/26, Institute of Electrical and Electronics Engineers Inc., 2017.

[240]                   You and D. Yuan, Joint CoMP-Cell Selection and Resource Allocation in Fronthaul-Constrained C-RAN, presented at the 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2017.

[241]                   M. Yousaf and B. K. Lau, Impact of RF cables on the electromagnetic environment in vehicles, in 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017, Montreal, 2017/10/08-2017/10/132017-October, Institute of Electrical and Electronics Engineers Inc., 2017.

[242]                   Zhang, Y. Wei, E. Björnson, Y. Han, and X. Li, Spectral and Energy Efficiency of Cell-Free Massive MIMO Systems with Hardware Impairments, presented at the 9th International Conference on Wireless Communications and Signal Processing (WCSP), 2017.

[243]                   Y. Zhao, C. Fritsche, and F. Gunnarsson, Parametric Lower Bound for Nonlinear Filteringbased on Gaussian Process Regression Model, presented at the International conference on information fusion, July 10-13,2017 Xi’an, China., 2017.

[244]                   A. Åkesson and G. Hedin, Jatte, in 2nd ACM SIGPLAN International Workshop on Comprehension of Complex Systems, CoCoS 2017, Vancouver, 2017/10/23-2017/10/27, Association for Computing Machinery, Inc, 2017.

[245]                   Öqvist and G. Hedin, Concurrent Circular Reference Attribute Grammars, in 10th ACM SIGPLAN International Conference on Software Language Engineering (SLE 2017), Vancouver, 2017/10/23-2017/10/24, ACM, 2017.

 

Licentiate theses

 

[1]                       O. Andersson, Methods for Scalable and Safe Robot Learning, Studies in Science and Technology. Linköping University, 2017.

[2]                       I. Avgouleas, IoT Networking Resource Allocation and Cooperation, Studies in Science and Technology. Linköping University, 2017

[3]                       F. Bagge Carlson, Modeling and Estimation Topics in Robotics, Department of Automatic Control, Lund University, 2017.

[4]                       M. Karlsson, On Motion Control and Machine Learning for Robotic Assembly, Department of Automatic Control, Lund University, 2017.

[5]                       D. Medved, Applications of Machine Learning on Natural Language Processing and Biomedical Data, Lund University, 2017.

[6]                       S. Savas, Utilizing Heterogeneity in Manycore Architectures for Streaming Applications, Halmstad University, 2017.

[7]                       M. Varshosaz, Test Models and Algorithms for Model-Based Testing of Software Product Lines, comprehensive summary, Halmstad University, 2017.

 

Doctoral theses

 

[1]                       J. Berner, Automatic Controller Tuning using Relay-based Model Identification, The Department of Automatic Control, Lund University, 2017.

[2]                       G. Cedersjö, Efficient Software Implementation of Stream Programs, The Department of Computer Science, Lund University, 2017.

[3]                       E. Gebrewahid, Tools to Compile Dataflow Programs for Manycores, Halmstad University 2017.

[4]                       L.-N. Hoang, Relaying for Timely and Reliable Applications in Wireless Networks, 35 Halmstad University, 2017.

[5]                       S. Hu, Channel Shortening in Wireless Communication, The Department of Electrical and Information Technology, Lund University, 2017.

[6]                       B. A. Johnsson, Inverted GUI Development for IoT with Applications in E-Health, The Department of Computer Science, Lund University, 2017.

[7]                       C. Mollén, High-End Performance with Low-End Hardware: Analysis of Massive MIMO Base Station Transceivers, Studies in Science and Technology, Linköping University, 2017.

[8]                       H. Prabhu, Hardware Implementation of Baseband Processing for Massive MIMO, The Department of Electrical and Information Technology, Linköping University, 2017.

[9]                       H. Ramazanali, Managing Radio and Energy Resources in LTE-Based Military Training Networks, Halmstad University, 2017.

[10]                     Z. Simayijiang, Applications of Signal Processing to Microphone Node Calibration and Medical Signal Classification, Centre for Mathematical Sciences, Lund University, 2017.

[11]                     M. Wadenbäck, Homography-Based Positioning and Planar Motion Recovery, Lund University, 2017.

[12]                     J. Vieira, Algorithms and Proofs of Concept for Massive MIMO Systems, The Department of Electrical and Information Technology, Lund University, 2017.

[13]                     Y. Xu, LQG-Based Real-Time Scheduling and Control Codesign, The Department of Automatic Control, Lund University, 2017.

 

Books

 

[1]                       V. Angelakis, E. Tragos, H. C. Pöhls, A. Kapovits, and A. Bassi, (eds), Designing, Developing, and Facilitating Smart Cities, DOI 10.1007/978-3-319-44924-1, Springer International Publishing, Switzerland, 2017.

[2]                       J. B. Anderson, Bandwidth Efficient Coding (Digital and Mobile Communication Series). New York: John Wiley & Sons, 2017.

[3]                       E. Björnson, J. Hoydis, and L. Sanguinetti, Massive MIMO Networks : Spectral, Energy, and Hardware Efficiency (Foundations and Trends® in Signal Processing, no. 11(3-4)). Boston – Delft: Now Publishers Inc., p. 516, 2017.

[4]                       S. Gunnarsson, P. Larsson, S. Månsson, E. Mårtensson, and J. Sönnerup, Enhancing Student Engagement Using GitHub as an Educational Tool. Lund: Genombrottet, Lunds tekniska högskola, 2017.

[5]                       H.-B. Kittlaus and S. Fricker, Software Product Management : The ISPMA-Compliant Study Guide and Handbook. Springer, 2017.

[6]                       A. Kosta, N. Pappas, V. Angelakis, Age of Information: A New Concept, Metric, and Tool, Foundations and Trends in Networking, 2017.

[7]                       T. Madsen, C. Sloth Andersen, A. Varhelyi, M. Nilsson, M. Oskarsson, M. Bornø Jensen, C. Holmberg Bahnsen, M. Bock Christensen, and T. Moeslund, Mobile Application for Naturalistic Walking/Cycling Data Collection. InDeV consortium, 2017.

 

Chapters in books

 

[1]                       F. Gustafsson and G. Hendeby, Exploring New Localization Applications Using a Smartphone, in Sensing and Control for Autonomous Vehicles: Applications to Land, Water and Air. T.I. Fossen, K. Y. Pettersen H. Nijmeijer, Ed.: Springer, pp. 161-179, 2017.

[2]                       O. Gustafsson and L. Wanhammar, Basic Arithmetic Circuits, in Arithmetic Circuits for DSP Applications, T. S. Pramod Kumar Meher, Ed.: Wiley-IEEE Press, 2017.

[3]                       S. Ha, J. Teich, C. Haubelt, M. Glaß, T. Mitra, R. Dömer, P. Eles, A. Shrivastava, A. Gerstlauer, and S. S. Bhattacharyya, Introduction to Hardware/Software Codesign, in Handbook of Hardware/Software Codesign, J. T. Soonhoi Ha, Ed.: Springer Netherlands, 2017.

[4]                       N. Herbst, S. Becker, S. Kounev, H. Koziolek, M. Maggio, and E. Smirni, Metrics and Benchmarks for Self-aware Computing Systems, in Self-Aware Computing Systems: Springer Verlag, 2017.

[5]                       A. Iosup, X. Zhu, A. Merchant, E. Kalyvianaki, M. Maggio, S. Spinner, T. Abdelzaher, O. J. Mengshoel, and S. Bouchenak, Self-awareness of Cloud Applications, in Self-Aware Computing Systems: Springer Verlag, 2017.

[6]                       R. Kaddah, D. Kofman, F. Mathieu, and M. Pióro, Semi-distributed demand response solutions for smart homes, in Information Innovation Technology in Smart Cities: Springer Singapore, pp. 163-179, 2017.

[7]                       J. O. Kephart, M. Maggio, A. Diaconescu, H. Giese, H. Hoffmann, S. Kounev, A. Koziolek, P. Lewis, A. Robertsson, and S. Spinner, Reference Scenarios for Self-aware Computing, in Self-Aware Computing Systems: Springer Verlag, 2017.

[8]                       T. Larsson, Telecommunication Exchange Evolution, in Wiley Encyclopedia of Electrical and Electronics Engineering, J. G. Webster, Ed. New York: John Wiley & Sons, pp. 1-16, 2017.

[9]                       M. Maggio, Real-Time Implementation of Control Systems, in Handbook of Cyber-Physical Systems: Springer, 2017.

[10]                     M. Maggio, T. Abdelzaher, L. Esterle, H. Giese, J. O. Kephart, O. J. Mengshoel, A. V. Papadopoulos, A. Robertsson, and K. Wolter, Self-adaptation for Individual Self-aware Computing Systems, in Self-Aware Computing Systems: Springer Verlag, 2017.

[11] P. K. Meher, C.H. Chang, O. Gustafsson, A.P. Vinod and M. Faust, Shift‐Add Circuits for Constant Multiplications, Arithmetic Circuits for DSP Applications, 33-76, 2017.

[12]                     S. Spinner, A. Filieri, S. Kounev, M. Maggio, and A. Robertsson, Run-Time Models for Online Performance and Resource Management in Data Centers, in Self-Aware Computing Systems: Springer Verlag, 2017.

[13]                     T. Van Chien and E. Björnson, Massive MIMO Communications, in 5G Mobile Communications, W. Xiang, K. Zheng, and S. Xuemin, Eds. Switzerland: Springer, pp. 77-116, 2017.

[14]                     H. Zeng, P. Joshi, D. Thiele, J. Diemer, P. Axer, R. Ernst, and P. Eles, Networked Real-Time Embedded Systems, in Handbook of Hardware/Software Codesign: Springer Netherlands, pp. 1-40, 2017.

[15]                     K.-E. Årzén and A. Cervin, Software and Platform Issues in Feedback Control Systems, in Cyber-Physical Systems: Pearson Education, pp. 165-195, 2017.

 

Reports

 

[1]                       F. Bagge Carlson and M. Haage, YuMi low-level motion guidance using the Julia programming language and Externally Guided Motion Research Interface (Technical Reports TFRT-7651). Department of Automatic Control, Lund Institute of Technology, Lund University, 2017.

[2]                       B. A. Johnsson, G. Weibull, and B. Magnusson, The PML Editor: User’s Manual (Technical Report). Department of Computer Science, Lund University, 2017.

[3]                       J. Öqvist and G. Hedin, Concurrent Circular Reference Attribute Grammars (Extended Version) (Technical report, LU-CS-TR). Department of Computer Science, Lund University, 2017.

 

List of audiovisual material

 

[1]                       F. Bagge Carlson, BasisFunctionExpansions.jl, in Basis Function Expansions for Julia, ed. https://github.com/baggepinnen/BasisFunctionExpansions.jl: github, 2017.

[2]                       F. Bagge Carlson, LPVSpectral.jl, in A toolbox for least-squares spectral estimation and LPV spectral decomposition., ed. https://github.com/baggepinnen/LPVSpectral.jl: github, 2017.

[3]                       E. Fitzgerald, Wireless network generator, ed, 2017.