Sijia Liu received the B.S. and M.S. degrees in electrical engineering from Xi’an Jiaotong University, Xi’an, China, in 2008 and 2011, respectively. He received the Ph.D. degree (with All University Doctoral Prize) in electrical and computer engineering from Syracuse University, Syracuse, NY, USA, in 2016. He was a Postdoctoral Research Fellow at the University of Michigan, Ann Arbor, MI, USA, from 2016 to 2017. He is currently working as a research staff member at IBM Research AI Learning, Cambridge, MA.
Dr. Liu's recent research interests include convex/nonconvex gradient-free optimization and network data analytics for dynamic genome in human cells. His research interests also include optimization for machine learning and signal processing, neuromorphic computing, graph signal processing, and resource management in sensor networks. He received the Best Student Paper Award (third place) at the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). He was among the finalists of the Best Student Paper Award at the Asilomar Conference on Signals, Systems, and Computers in 2013. And he was the winner of the Nunan research poster competition in 2012.