Arvid Eriksson
Doktorand
Kungliga Tekniska Högskolanhttps://www.kth.se/profile/arveri
Forskare
Forskar-ID
Om mig
I am a PhD student in Intelligent Systems (Machine Learning) at the Division of Decision and Control Systems (DCS), supervised by Karl H. Johansson and co-supervised by David Broman at the Division of Software and Computer Systems (SCS). My research interests include deep learning, formal logic, AI safety, and machine learning applied in healthcare. I received my BSc and MSc in Computer Science at KTH in 2022 and 2024 respectively.
Kurser
Reglerteknik, allmän kurs (EL1000), assistent | Kurswebb