Working at the intersection of control theory and machine learning, ECE Associate Professor Max Raginsky explores fundamental questions about how to design complex systems that automatically learn to perform various tasks better on the basis of experience despite changing requirements and environments. His research results have applications in electronic circuit design automation, autonomous systems, and artificial intelligence. This past year, Maxim Raginsky was appointed co-chair of the premier international conference on machine learning theory and artificial intelligence. The 35th annual Conference on Learning Theory (COLT) is scheduled to be held July 2-5, 2022, in London.
