I received an M.Sc.Eng. in Physics and Electrical Engineering in 2018 from Luleå University of Technology - where I am currently enrolled as a Ph.D. student in the Embedded Intelligent Systems Lab (EISLAB), under the supervision of Fredrik Sandin.
My research is in the field of Neuromorphic Engineering, and addresses low-power spatiotemporal pattern recognition using mixed-signal analog/digital neuromorphic processors - especially of the DYNAP hardware line. In particular, my research is aimed at edge computing applications, such as resource-constrained industrial monitoring.
- Neuromorphic Computing
- Machine Learning
- Neural Computation
- Computational Neuroscience
- Lab instructor in Introduction to Programming for Engineers (D0017E)