Developing core–technologies for tree-based models

Developing core–technologies for tree-based models

Krzysztof Bartoszek, LiU and Niklas Wahlberg, LU Graph learning is an important topic in science and technology. In this project we will develop new methods for tree-structured graphs, motivated by phylogenetics but with potential use in other network-based...
Quality assurance in continuous software engineering

Quality assurance in continuous software engineering

PI: Nauman bin Ali (BTH), co-PI: Emelie Engström (LU); with Martin Höst (LU), Muhammad Usman (BTH), Jürgen Borstler, Claes Wohlin, Per Runeson, Kai Petersen Software quality assurance includes preventive, diagnostic and corrective mechanisms to ensure the design and...
Information Handling in Industrial IoT

Information Handling in Industrial IoT

PI: Nikolaos Pappas, LiU, co-PI: Emma Fitzgerald, Lund. This proposal aims at a joint consideration of information generation, processing, transmission, and reconstruction in beyond 5G (B5G) massive and mission critical IoT networks by taking into account the...
Autonomous Force-Aware Swift Motion Control

Autonomous Force-Aware Swift Motion Control

PI: Anders Robertsson (LU), co-PI: Lars Nielsen (LiU); with Björn Olofsson (LiU/LU) and Erik Frisk (LiU) The research program for this project has a number of steps for moving autonomous force-aware swift motion control forward. Our recently derived novel methods for...
Scalable Optimization for Learning in Control

Scalable Optimization for Learning in Control

PI: Anders Hansson (LiU), co-PI:Anders Rantzer (LU); with Johan Löfberg (LiU), Richard Pates (LU) Large-scale engineering applications put new demands on control theory, as most existing methods for analysis, design and verification do not scale well with increasing...