Dr. Tomas Nordström

Biography

Tomas Nordström's research focuses on enabling technologies for intelligent embedded systems, emphasizing the interaction between multiple systems to create robust and efficient intelligent systems. His work explores the adaptation of machine learning models to the computational capacities of both current and future embedded systems. He researches collaborative and federated learning techniques that involve distributing computations across various nodes. Additionally, Tomas is investigating how to adapt computer architectures in embedded systems to effectively execute calculations required for machine learning. He leads research on cooperative intelligent embedded systems and presents courses on Deep Learning methods and applications.

Research Interests

Courses