Håkan Forsberg, Associate Professor, Docent, Senior Lecturer
Håkan Forsberg has the strategic responsibility for the Master of Science in Engineering Program in Dependable Systems (Civilingenjörsprogrammet i tillförlitliga system). He is also the subject teacher for Aeronautical Engineering at Mälardalen University, Västerås.
Håkan Forsberg has a M.Sc. in Computer Science and Engineering from Linköping University, Linköping, Sweden (1997), and a Ph.D. in Computer Engineering from Chalmers University of Technology, Gothenburg, Sweden (2003). In January 2025, he became a Docent and Associate Professor in Computer Engineering with focus on fault-tolerant systems. He is an IEEE Senior Member.
During the years 1996-2014 Håkan Forsberg worked at Saab as a specialist with development and certification of safety-critical electronics and computers. He was the hardware certification lead for several civilian projects and the COTS subgroup leader in the DO-254 Users Group, coordinating 29 companies from 11 countries. In 2013–2014 he was Saab’s representative in the International Research Committee of Aerospace Vehicle Systems Institute (AVSI).
Current Teaching
- Development of safety-critical systems, 7.5 credits, first cycle
- Robust Electronics, 10 credits, first cycle
- Design of Fault Tolerant Systems, second cycle, 7.5 credits
- Fail-safe design concepts (online course for students and industries), second cycle, 2.5 credits
Håkan Forsberg's main research interests include fault-tolerant systems, design assurance strategies for dependable systems, and the use of modern microcontrollers and heterogeneous architectures (highly complex COTS) in safety-critical applications. His research also includes the use of machine learning in safety-critical systems.
A safety-driven architectural framework for fail-operational drone swarms in critical missions (Sep 2026) Luiz Giacomossi, Zafer Yigit, Marwan Shakarna , Shoaib Saleemi , Ivan Tomasic, Baran Çürüklü, Håkan Forsberg Proceedings of the 45th Digital Avionics Systems Conference (DASC 2026)
Learning in modal space: Physics-guided diffusion for multi-scale time-series generation (Sep 2026) Zafer Yigit, Håkan Forsberg, Masoud Daneshtalab 31st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2026)
Can Linux Fly a Drone? A Flight Control Evaluation for Unified UAV Architectures Using PREEMPT_RT Kernel (Sep 2026) Luiz Giacomossi, Håkan Forsberg, Ivan Tomasic, Baran Çürüklü, Tommaso Cucinotta , Afshin Ameri E. 31st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2026)
Generative Digital Twin Framework for Reliable and Robust AI-Powered Prognostic Systems (Jun 2026) Zafer Yigit, Håkan Forsberg, Masoud Daneshtalab 30th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2026)
Market-Based Replanning for Safety-Critical UAV Swarms in Search and Rescue Missions (May 2026) Luiz Giacomossi, Andrea Haglund , Claire Namatovu , Emily Zainali , Esaias Målqvist , Yonatan Beyene , Ivan Tomasic, Baran Çürüklü, Håkan Forsberg MIPRO 2026 - 49th ICT and Electronics Conventions (MIPRO 2026)
Physics-Informed Recurrent Architecture with Embedded Thermodynamic Dynamics for Robust Sequence Modeling (Apr 2026) Zafer Yigit, Håkan Forsberg, Masoud Daneshtalab 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2026)
Joakim Lindén
Johan Sundell
Liza Stephanie Johansson
Obed Mogaka
Yana Tejasukmana (former)
Youssef Zaki (former)
Zafer Yigit