Mattias Dahl
Professor
Department of Mathematics and Natural Sciences
Room J3539, Karlskrona
Research domain: Systems Engineering
Mattias Dahl received the B.Sc. in Electrical Engineering from Chalmers University of Technology, the M.Sc. in Computer Science from Lulea Institute of Technology, the Licentiate in Engineering in Signal Processing from Lund University, the Ph.D. in Applied Signal Processing in 2000, from Blekinge Institute of Technology (BTH), Sweden.
Since 2018 he is Full Professor at the BTH and the research is focused on optimization of technical systems, self-learning methods, artificial intelligence and analysis.
Since 2005, he has been with the Department of Mathematics, Blekinge Institute of Technology. He has authored about 100 scientific publications, 5 patents and has been a recipient of several awards from the Sweden’s innovation agency and the Swedish Foundation of Technology Transfer.
Mattias has also been awarded by technology transfer scholarships from the Swedish Foundation of Technology Transfer and grants for verification for growth. His research is currently related to Adaptive systems (AI) and processing, Computer vision, Automotive radar, Mathematical modeling and Applied optimization.
Latest publications
- Majid Joshani, Bruna Palm, Mattias Dahl, Mats Pettersson, "Ghost Target Analysis and Compression in FMCW Radars", Proceedings of the IEEE Radar Conference, ISSN 1097-5764, EISSN 2640-7736, Institute of Electrical and Electronics Engineers (IEEE), 2025
- Henrik Fredriksson, Mattias Dahl, Johan Holmgren, "Datadriven restidsanalys", 2025
- Simon Hallösta, Saleh Javadi, Mattias Dahl, Mats Pettersson, "Multispectral Image Registration and Sensor Calibration for Low-Altitude Agricultural Drones", International Geoscience and Remote Sensing Symposium (IGARSS), ISSN 2153-6996, EISSN 2153-7003, pp. 6209-6213, Institute of Electrical and Electronics Engineers (IEEE), 2024
- Majid Joshani, Bruna Palm, Mattias Dahl, Mats Pettersson, "Using a Two-Dimensional Autoregressive Model for Interference Mitigation in FMCW Radar", Proceedings International Radar Symposium, ISSN 2155-5745, EISSN 2155-5753, pp. 18-23, IEEE Computer Society, 2024
- Henrik Fredriksson, Mattias Dahl, Johan Holmgren, Benny Lövström, "Addressing Local and Regional Recharging Demand", Procedia Computer Science, ISSN 1877-0509, pp. 65-72, Elsevier, 2024