Munther Dahleh
Professor, Department of Electrical Engineering and Computer Science; Director, Institute for Data, Systems, and Society
Categories
Munther Dahleh is the William A. Coolidge Professor of Electrical Engineering and Computer Science in MIT’s Department of Electrical Engineering and Computer Science. He is also director of the MIT Institute for Data, Systems, and Society. Dahleh is interested in networked systems with applications to social and economic networks, financial networks, transportation networks, neural networks, and the power grid. Specifically, he focuses on the development of foundational theory necessary to understand, monitor, and control systemic risk in interconnected systems. He is also interested in learning high-dimensional, unstructured stochastic systems from finite data. His recent work focuses on understanding the economics of data as well as deriving a foundational theory for data markets. His work draws from various fields including optimal and robust control, distributed online optimization, information theory, distributed learning, and algorithmic game theory. His collaborations include faculty from all five schools at MIT. Dahleh earned a PhD in electrical and computer engineering from Rice University.
Publications
- Jiang B., Rigobon R., Dahleh M.A. (2020). Contingent Linear Financial Networks. National Bureau of Economic Research (NBER), NBER Working Paper No. 26814.
- Savla, K., Shamma, J.S., Dahleh M.A. (2019). Network Effects on the Robustness of Dynamic Systems. Annual Review of Control, Robotics, and Autonomous Systems.
- Saxena S., Sarma V.S., Dahleh M.A. (2020) Performance Limitations in Sensorimotor Control: Tradeoffs between Neural Computing and Accuracy in Tracking Fast Movements, Neural Computation.
- Agarwal A., Dahleh M.A., Sarkar, T. A. (2019). A Marketplace for Data: An Algorithmic Solution. 20th ACM Conference on Economics and Computation (EC).
Media
- March 9, 2020: MIT News, Creating Peru’s next generation of data scientists.
- May 30, 2019: MIT News, Empowering African farmers with data.
- March 7, 2019: MIT News, Combining artificial intelligence with their passions.