Our undergratuate programs should deliver top engineering education and our students should be attractive and a first choice for companies looking for employees. Our two programs, Högskoleingenjör in Aeronautical engineering and Civilingenjör in Robotics, are designed to give the students a good balance between practical skills and theory in order to create complete engineers.
The research at the department consists of Robotics, Biomedical Engineering, Helath technology, Artificial Intelligence and the new and recently started research within Avionics. Our research is mainly applied and often from a system perspective. We build systems that can be used as proof of principles or as demonstrators to show the practical use of our research results. The research problems are often derived from real problems that exist within the industry or the public sector.
Time-Sensitive Networking in Automotive Embedded Systems: State of the Art and Research Opportunities (Sep 2021) Mohammad Ashjaei, Lucia Lo Bello , Masoud Daneshtalab, Gaetano Patti , Sergio Saponara , Saad Mubeen Journal of Systems Architecture, 2021 (JSA, 110)
A Comparative Analysis and Design of Controllers for Autonomous Bicycles (Jun 2021) Niklas Persson, Tom Andersson , Anas Fattouh, Martin Ekström, Alessandro Papadopoulos European Control Conference (ECC 2021)
EEG non-stationarity across multiple sessions during a Motor Imagery-BCI intervention: two post stroke case series (May 2021) Elaine Åstrand, Jeanette Plantin , Susanne Palmcrantz , Jonatan Tidare 10th International IEEE EMBS Conference on Neural Engineering (NER'21)
LOOPS: A Holistic Control Approach for Resource Management in Cloud Computing (Apr 2021) Auday Al-Dulaimy, Javid Taheri , Alessandro Papadopoulos, Thomas Nolte 12th ACM/SPEC International Conference on Performance Engineering (ICPE 2021)
Application of Human Factors in the Development Process of Immersive Visual Technologies: Challenges and Future Improvements (Mar 2021) Mina Saghafian , Taufik Akbar Sitompul, Karin Laumann , Kristina Sundnes , Rikard Lindell Frontiers in Psychology (FPsyg)
BELIEF: A distance-based redundancy-proof feature selection method for Big Data (Feb 2021) D. López, Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera Information Sciences (INS21)