Seyed Nematollah Ahmadyan (Adel) defended his thesis in front of a distinguished committee (Rob Rutenbar, Xin Li, Sayan Mitra, Martin Wong) with flying colors! What started as an analog verification and testing PhD, morphed into an optimization PhD by the time we were done!
Adel’s DUPLEX algorithm is a randomized tree based search/sampling algorithm that can create directed analog stimulus, the worst case “eye” diagram and the shortest length analog tests. It is also one of the few numerical algorithms to solve functional optimization problems and can beat state-of-the-art non-convex optimization algorithms as well! Adel will be taking his optimization expertise to SnapChat starting January 2017.