Munther A. Dahleh (born 1962, Tulkarem, Palestine) is the William Coolidge Professor of electrical engineering and computer science and director of the Massachusetts Institute of Technology (MIT) Institute for Data, Systems, and Society (IDSS). Dahleh is internationally known for his contributions to robust control theory, computational methods for controller design, the interplay between information and control, statistical learning of controlled systems and its relations to model reduction of stochastic systems, the fundamental limits of learning, decisions and risk in networked systems including physical, social, and economic networks with applications to transportation and power networks, and the understanding of the Economics of data and the design of real-time markets for data and digital goods. For his work in these areas, he was awarded the Axelby best paper award four times, the Donald P. Eckman Award for best control engineer under age 35, and the Presidential Young Investigator Award. He is a fellow of both the Institute of Electrical and Electronics Engineers (IEEE) and International Federation of Automatic Control (IFAC) societies. Dahleh is a current member of IEEE. Education Dahleh received his BS degree in electrical engineering from Texas A&M University (College Station, Texas) in 1983, and his Ph.D. in electrical engineering from Rice University (Houston, Texas) in 1987. Biographical Dahleh He was born in city Tulkarem ,State of Palestine, then raised in Amman, Jordan, and moved to the United States when he was 17 years old to attend Texas A&M. He lived in Texas for seven years while earning his degrees in electrical engineering. Following graduation, in 1987 Dahleh joined MIT as an assistant professor, and achieved multiple teaching, research and leadership roles in academia, industry, and business sectors. He currently resides in Boston, MA with his wife and their three children. Research and leadership In the late 1980s, Dahleh solved the L1 optimal control problem — an open problem at the time that addresses robustness in the presence of persistent disturbances — using linear programming techniques. This work pioneered the development of computational approaches for robust controller synthesis. More recently, his work has advanced the development of a foundational theory for information propagation, decisions, and robustness of large dynamic networks arising in transportation, energy, finance, and social networks. On the applied side, Dahleh has developed and patented a methodology for managing both engine and motor switching in hybrid vehicles based on path characteristics; the patent was co-owned by Ford. He