Mattias Nilsson
PhD Student
Luleå University of Technology
Luleå University of Technology
Cyber-Physical Systems
Embedded Intelligent Systems LAB
Department of Computer Science, Electrical and Space Engineering
Research
I received an M.Sc.Eng. in Engineering Physics and Electrical Engineering in 2018 from Luleå University of Technology - where I am currently enrolled as a doctoral student in the Embedded Intelligent Systems Lab (EISLAB) under the main supervision of Fredrik Sandin.
My research is in the field of Neuromorphic Engineering, and addresses methods for ultra-low-power (sub-milliwatt) spatiotemporal pattern recognition using mixed-signal neuromorphic processors - especially from the DYNAP hardware line.
In particular, my research is aimed at edge intelligence applications, such as resource-constrained industrial monitoring.
Research Interests
- Neuromorphic Engineering
- Machine Learning
- Neural Computation
- Computational Neuroscience
- Neurobiology
Teaching
- TA in Introduction to Programming for Engineers (D0017E) - Autumn '18, '19, '20
- TA in Neural Networks and Learning Machines (D7046E) - Autumn '20
Publications
Conference paper
Spatiotemporal Pattern Recognition with Neuromorphic Processor for Edge Applications (2019)
Part of: Online Proceedings of SAIS 2019, Umeå University, 2019
Manuscript (preprint)
Spatiotemporal Spike-Pattern Selectivity in Single Mixed-Signal Neurons with Balanced Synapses
Article in journal
Synaptic Delays for Insect-Inspired Temporal Feature Detection in Dynamic Neuromorphic Processors (2020)
Frontiers in Neuroscience, Vol. 14
Conference paper
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor (2020)
Part of: 2020 International Joint Conference on Neural Networks (IJCNN), Conference Proceedings, IEEE, 2020, 21471
Licentiate thesis, comprehensive summary