Research in the ML-AI area is focused in two streams. The first pertains to algorithms and applications including data science, online learning, reinforcement learning as well as applications to networked and control systems. The second pertains to computational platforms for ML-AI including VLSI realization of ML algorithms and multicore architectures supporting ML.
Faculty: Gwan Choi, Ulisses Braga-Neto, JF Chamberland, Zhiwen Fan, Nick Duffield, I-Hong Hou, Jiang Hu, Stavros Kalafatis, Kalathil, Dileep, Sunil Khatri, P.R. Kumar, John Lusher II, Varun Murali, Narayanan, Krishna, Kevin Nowka, Joshua Peeples, “JV” Jeyavijayan Rajendran, Srinivas Shakkottai; Weiping Shi, Suin Yi