He is receiving the 2014 Resonate Award for solving hard computational challenges, like the optimal power flow problem, that provide a scalable framework for incorporating distributed solar, storage and other resources into the electricity grid in an efficient and cost-effective manner. This research uniquely uses nonconvex math to fuse power systems knowledge, control and optimization theory, economics and computer science to enable robust control systems for a dynamic grid. Lavaie obtained his Ph.D. in Control & Dynamical Systems from the California Institute of Technology and held a one-year postdoc position jointly with Electrical Engineering and Precourt Institute for Energy at Stanford University. He is a senior member of IEEE and has won many awards for his research. Learn More