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.
- Neuromorphic Engineering
- Machine Learning
- Neural Computation
- Computational Neuroscience
- TA in Introduction to Programming for Engineers (D0017E) - Autumn '18, '19, '20
- TA in Neural Networks and Learning Machines (D7046E) - Autumn '20