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).
Teaching:
- Introduction to Dependable Aerospace Engineering, 5 credits, first cycle, 2015-2019
- Basic Avionics, 7.5 credits, first cycle, 2016-2018, (2022)
- Development of Avionics Systems, 7.5 credits, first cycle, 2017-2024
- Robust Electronics, 7.5 credits, first cycle, 2018-2025
- Design of Fault Tolerant Systems, second cycle, 7.5 credits, 2019-2025
- Fail-safe design concepts (online course for students and industries), second cycle, 2.5 credits, 2024-2025
- Project Course in Dependable Systems, second cycle, 22.5 credits, 2019
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.
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)
Teaching Systems Engineering for Students – Experiences from the Swedish Education System (Jul 2025) Johan Cederbladh, Håkan Forsberg 35th INCOSE International Symposium (INCOSE IS 2025)
Machine Learning-Based Prognostic Approaches for Construction Equipment Powertrain Systems (Jun 2025) Zafer Yigit, Håkan Forsberg, Masoud Daneshtalab 36th IEEE Intelligent Vehicles Symposium (IEEE IV2025)
Bridging Quantization and Deployment: A Fixed-Point Workflow for FPGA Accelerators (May 2025) Obed Mogaka, Håkan Forsberg, Masoud Daneshtalab 28th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS 2025)
Joakim Lindén
Johan Sundell
Liza Stephanie Johansson
Obed Mogaka
Yana Tejasukmana (former)
Youssef Zaki (former)
Zafer Yigit