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Javad Lavaei

For fundamental contributions to optimization and control theory, with applications to design techniques for electrical power networks, internet congestion, and antenna beamforming

Javad Lavaei is an Assistant Professor in the Department of Industrial Engineering and Operations Research at University of California, Berkeley. He was an Assistant Professor in Electrical Engineering at Columbia University from 2012 to 2015. Javad Lavaei received the B.Sc. degree from Sharif University of Technology and the M.A.Sc. degree from Concordia University.  He obtained the Ph.D. degree in Control & Dynamical Systems from the California Institute of Technology in 2011, and was a postdoctoral scholar in Electrical Engineering and Precourt Institute for Energy at Stanford University for one year. He is the recipient of the Milton and Francis Clauser Doctoral Prize for the best university-wide Ph.D. thesis, entitled “Large-Scale Complex Systems: From Antenna Circuits to Power Grids.”  He researches on optimization theory, control theory and power systems. Javad Lavaei has won several awards, including DARPA Young Faculty Award, Office of Naval Research Young Investigator Award, National Science Foundation CAREER Award, Resonate Award, Google Faculty Research Award, Governor General of Canada Academic Gold Medal, Northeastern Association of Graduate Schools Master's Thesis Award, and Silver Medal in the 1999 International Mathematical Olympiad. Javad Lavaei is an associate editor for IEEE Transactions on Smart Grid and serves on the conference editorial boards of IEEE Control Systems Society and European Control Association. He was a finalist (as an advisor) for the Best Student Paper Award at the 53rd IEEE Conference on Decision and Control 2014. His journal paper entitled “Zero Duality Gap in Optimal Power Flow Problem” has received a prize paper award given by the IEEE PES Power System Analysis Computing and Economics Committee in 2015. Javad Lavaei is a co-recipient of the 2015 INFORMS Optimization Society Prize for Young Researchers, and the recipient of the 2016 Donald P. Eckman Award given by the American Automatic Control Council.