Håkan Forsberg, Senior Lecturer
Håkan Forsberg is responsible for the Master of Engineering Program in Dependable Systems (Civilingenjörsprogrammet i tillförlitliga system). He is also the subject teacher for Aeronautical Engineering at Mälardalen University, Västerås. He is currently the project leader for the methodologies group in the KKS research profile project DPAC – Dependable Platforms for Autonomous systems and Control, and co-project leader in the NFFP7, Vinnova project SafeDeep.
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). 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.
In 2008-2015 Håkan Forsberg was 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, 2016, 2017, 2018, 2019
- Basic Avionics, 7.5 credits, first cycle, 2016, 2017, 2018, (2022)
- Development of Avionics Systems, 7.5 credits, first cycle, 2017, 2018, 2019, 2020, 2021, 2022
- Robust Electronics, 7.5 credits, first cycle, 2018, 2019, 2020, 2021, 2022, 2023
- Design of Fault Tolerant Systems, second cycle, 7.5 credits, 2019, 2020, 2021, 2022, 2023
- 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 use of modern microcontrollers and heterogeneous architectures (highly complex COTS) in safety-critical applications. His research also include the use of machine learning in safety-critical systems.
Comparing Ext4 and ZFS for Onboard Data Processing (Oct 2023) Liza Johansson, Hassan Said, Håkan Forsberg, Nandinbaatar Tsog, Oskar Flordal The first European Data Handling & Data Processing Conference (EDHPC 2023)
Evaluating the robustness of ML models to out-of-distribution data through similarity analysis (Sep 2023) Joakim Lindén, Håkan Forsberg, Ingemar Söderquist , Masoud Daneshtalab 1st Workshop on Advanced AI Techniques for Data Management and Analytics (AIDMA)
RELIANT Industrial graduate school @ MDU (Mar 2023) Kristina Lundqvist, Baran Çürüklü, Elisabeth Uhlemann, Mikael Sjödin, Marjan Sirjani, Cristina Seceleanu, Tiberiu Seceleanu, Malin Rosqvist, Saad Mubeen, Kaj Hänninen, Håkan Forsberg, Mikael Ekström, Masoud Daneshtalab, Federico Ciccozzi
A novel method for detecting UAVs using parallel neural networks with re-inference (Sep 2022) Hubert Stepien , Martin Bilger , Håkan Forsberg, Billy Lindgren , Johan Hjorth 33rd Congress of the International Council of the Aeronautical Sciences (ICAS 2022)
Curating Datasets for Visual Runway Detection (Oct 2021) Joakim Lindén, Håkan Forsberg, Josef Haddad , Emil Tagebrand , Erasmus Cedernaes , Emil Gustafsson Ek , Masoud Daneshtalab The 40th Digital Avionics Systems Conference (DASC'2021)
Challenges in Using Neural Networks in Safety-Critical Applications (Oct 2020) Håkan Forsberg, Johan Hjorth, Masoud Daneshtalab, Joakim Lindén, Torbjörn Månefjord The 39th Digital Avionics Systems Conference (DASC'2020)
Joakim Lindén
Johan Sundell
Yana Tejasukmana
Youssef Zaki (former)