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Javad Ghaderi is an Associate Professor in the Department of Electrical Engineering at Columbia University. His research interests encompass algorithms, optimization, machine learning, and stochastic networks, with a focus on improving the efficiency and performance of networking artificial intelligence systems. He earned his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2013. Following this, he participated in a one-year Simons Postdoctoral Fellowship at the University of Texas at Austin before joining Columbia University in 2014. His academic contributions have been recognized with several prestigious awards, including the IEEE INFOCOM Paper Award in 2024, the Stephen S. Lavenberg Student Paper Award at the IFIP Performance 2020, the NSF CAREER Award in 2017, the ACM CoNEXT Paper Award in 2016, and a Finalist Award for the Student Paper at the American Control Conference (ACC) in 2013.
Columbia University • New York, NY, USA
Teaching and research in the Department of Electrical Engineering.
Department of Anthropology (GSAS)