Dr. Caramanis's main research interests are in the intersection of Systems Theory, Optimization, and Statistical Machine Learning. Specifically, his focus is on Robust and Adaptive Optimization and Control, Feedback and Information in Computation, and applications in Telecommunications and Air Traffic Control, including large scale scheduling and routing problems, switch networks, and resource allocation.
-Decision-making under uncertainty.
-Adaptive Control and Optimization.
-Statistical learning, and data driven decision-making.