Mehrdad Mahdavi obtained his Ph.D. degree from Michigan State University in Computer Science under the supervision of Professor Rong Jin in 2014 and before that spent two years as a Ph.D. candidate at Sharif University of Technology. He received the M.Sc. degree from Sharif University of Technology, Tehran, Iran. He was a summer research intern at NEC Labs Cupertino, Microsoft Research Redmond, and NEC Labs Princeton, respectively in 2012, 2013, and 2014. He has won the Top Cited Paper Award from the journal of Applied Mathematics and Computation (AMC), Elsevier in 2010 and the Mark Fulk Best Student Paper Award at the Conference on Learning Theory (COLT) in 2012.
His current research interests include Machine Learning focused on Online (Stochastic) Convex Optimization, Sequential and Statistical Learning Theory, and Learning in Games.
Dr. Mahdavi also has a personally maintained website which can be found at http://www.ttic.edu/mahdavi.