Distinguished lectures

Due to the pandemic, the physical distinguished lecture series has been put on hold. We hope to resume it soon, and enjoy the many available webinars in the meantime.

2020

2020-02-03 Prof. Felix Antreich, Aeronautics Institute of Technology (ITA), São José dos Campos, Brazil
Multi-Antenna Systems for GNSS

2019

2019-12-12 Andreas Kerren, Linnaeus University
Showcases of Visualization Research for Text, Network, and Multivariate Data Analytics

2019-11-08 Prof. Timo Rahkonen, Oulu University,  Finland.
IC design old and newer news from Oulu University

2019-10-24 Jan Erik Ekberg, Mobile Security, Huawei,  Finland.
Run-time / memory protection on future mobile processors

2019-10-14 Prof. Bart De Moor, KU Leuven
More Mathematics Mandatory in Data Science

2019-06-19 Bill Dally, Chief Scientist and Vice President of NVIDIA Research and Willard R. and Inez Kerr Bell Professor of Computer Science and Electrical Engineering at Stanford University
The Future of Computing: Domain-Specific Accelerators

2019-02-19 Professor Tarek Abdelzaher, Department of Computer Science, the University of Illinois at Urbana Champaign
Deep Learning for IoT Systems

2019-02-19 Professor Tarek Abdelzaher, Department of Computer Science, the University of Illinois at Urbana Champaign
Social Media Signal Processing: A Noisy Channel Approach

2019-01-21 Senior Research Scientist Julia Lawall, Inria/LIP6, France
Prequel: A Patch-Like Query Language for Commit History Search

2019-01-22 Dr Abbas Rahimi, ETHZ
Prequel: Hardware/Algorithm Codesign for Energy Efficiency and Robustness: From Error-tolerant Computing to Approximate and Brain-inspired Computing

2018

2018-12-13 Steffen Limmer, TU Berlin, Germany
Distributed and sparse signal processing: Architectures, algorithms and nonlinear estimators

2018-12-10 Dr. Elena Pagnin
TOPPool and Matrioska

2018-09-21 Tommy Svensson, Department of Electrical Engineering, Chalmers University of Technology, Sweden
Challenges and Opportunities with mm-wave Communications in 5G and Beyond

2018-06-12 Prof. Jan Peters, TU Darmstadt
Robot Skill Learning

2018-06-12 Dr. Caitlin Sadowski, Google
Lessons from Building Static Analysis Tools at Google

2018-06-11 Prof. Jiri Matas, Center for Machine Perception, Czech Technical University in Prague
Multi-Class Model Fitting by Energy Minimization and Mode-Seeking

2018-06-04 Prof. Jeffrey Carver, University of Alabama, USA http://se4science.org
What We Have Learned About Using Software Engineering Practices in Research Software

2018-05-03 Prof. Kannan Moudgalya, Bombay, India
Self-learning Tutorials and Open Source Software for 4 million Students

2018-05-24 Prof. Michel Verhaegen, Delft University of Technology
Large-Scale Subspace Identification with Kronecker modeling

2018-04-12 Prof. Laura Cottatellucci, Friedrich Alexander University of Erlangen-Nürnberg
Title: Machine Learning on Graphs

2018-04-11 Prof. Marius Pesavento, TU Darmstadt
The Partial Relaxation Approach: An Eigenvalue-Based DOA Estimator Framework

2018-03-29 Prof. Christoph Kirsch from U. of Salzburg
Self-Referential Compilation, Emulation, Virtualization, and Symbolic Execution with Selfie

2018-03-19  Prof. Geoffrey Li, Georgia Institute of Technology, Atlanta, Georgia, USA.
Resource Allocation in Vehicular Communications

2018-03-14 Prof. Geoffrey Li, Georgia Institute of Technology, Atlanta, Georgia, USA.
Device-to-Device Communications in Cellular Networks

2018-03-06 Professor Pierluigi Salvo Rossi, Kongsberg Digital, Norway
Machine Learning & Industry 4.0

2018-01-2 Professor A. Lee Swindlehurst, University of California Irvine
Analysis of the Mixed-ADC Massive MIMO Uplink

2018-01-26 Docent Antti Tölli, University of Oulu, Finland
Multi-antenna Interference Management for Coded Caching

2018-01-11 Adjunct Professor Gabor Fodor, KTH and Ericsson Research
Tuning the Pilot-to-Data Power Ratio in Multiuser MIMO Systems