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Mung Chiang is the Elmore Family Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. He is a recognized leader in the fields of electrical engineering and computer science with a focus on network optimization and economics. He obtained his PhD and MS in Electrical Engineering from Stanford University, where he conducted research on sophisticated topics such as optimization networks and network utility maximization. His key research contributions include advancements in Fog networking and Internet of Things applications, emphasizing smart data pricing and social learning networks. Chiang has authored numerous publications that help bridge the gap between theoretical research and practical implementation in network design and management.
GRE is not required.