Munther Dahleh

Munther Dahleh is the William A. Coolidge Professor in the Department of Electrical Engineering and Computer Science (EE) at the Massachusetts Institute of Technology (MIT). His research interests include AI and Society, Systems and Networking, Systems Theory, Control, and Autonomy. Dahleh's work focuses on the intersection of data science, systems, and societal impact. He is affiliated with the AI + Decision-making (AI+D) initiative at MIT. His profile page highlights his contributions to creating interdisciplinary research centers and advancing data-driven approaches to societal challenges.

Munther Dahleh is a scholar specializing in system and control theory, networks, and learning. His research explores advanced control methodologies for autonomous systems, including motion planning for agile vehicles and trajectory tracking for helicopters. Dahleh also investigates learning in social networks and Bayesian learning frameworks. His work addresses robust control of uncertain systems, hybrid control for autonomous vehicles, and dynamic pricing in power grids. Additionally, he contributes to system identification and stabilization under noisy conditions. His research emphasizes the integration of control theory with real-world applications in energy systems and data-driven decision-making.