Oscar Savolainen received his undergraduate degree in Electronic and Electrical Engineering from the University of Strathclyde in 2018, graduating with 1st class honors. During his undergraduate he focused mainly on digital signal processing, and for his final year project designed a high-accuracy automated rice seed classifier, based on machine learning and image processing techniques. In his 3rd and 4th years he was a recipient of the IET Power Academy scholarship. In October 2018 he will join the Next Generation Neural Interfaces research group as a PhD student taking part in the ENGINI project. His main PhD focus is on the design of microelectronic circuits for the on-chip identification of interesting neural-recording channels.
Ultra low power microelectronics, neural signal processing, neuromorphic engineering