Competition: US & Canada
Suhas Diggavi is a Professor of Electrical and Computer Engineering at UCLA. His undergraduate education is from IIT, Delhi and his PhD is from Stanford University. He has worked as a principal member research staff at AT&T Shannon Laboratories and directed the Laboratory for Information and Communication Systems (LICOS) at EPFL. At UCLA, he directs the Information Theory and Systems Laboratory.
His research spans information theory and its applications to diverse areas including learning, security & privacy, wireless networks, data compression, cyber-physical systems, bio-informatics and neuroscience. He is passionate about solving foundational engineering and scientific problems involving information, and enjoys combining and constructing tools across a broad array of fields, including information and coding theory, statistics, probability, optimization and control theory. His collaborative work on wireless network information flow was recognized by the IEEE Information Theory Society & Communications Society Joint Paper Award. His paper on wireless networks was recognized through the IEEE Donald Fink prize paper award. He has received several other recognitions including being elected IEEE fellow. He strongly believes in supporting diversity and outreach; for example he has been involved in making several educational and historical videos related to information theory.
Photo courtesy of the Fellow.