Chamika Liyanagedera, Postdoctoral Researcher
Chamika received his B.Sc (2010) in Electrical Engineering from University of Peradeniya and his M.Sc (2013) in Electrical Engineering Technology from Purdue University. He was the recipient of the gold medal for the best performance in Engineering at University of Peradeniya. He received his PhD in 2021 under the guidance of Professor Kaushik Roy. His research work is mainly focused on neuromorphic computing using spin based oscillators and other emerging devices.
Cheng Wang, Research Scientist
Cheng Wang is currently a Research Scientist at Center for Brain-inspired Computing (C-BRIC) in Purdue University. He received his B.S. degree in physics from Peking University in 2009 and completed Ph.D. from The University of Texas at Austin in 2015. He worked as a Staff Engineer at Seagate Fremont Research from 2016 to 2019, developing magnetic devices for computer storage and memory applications. His current research interests include neuromorphic computing and stochastic computing using novel beyond-CMOS devices. Particularly he is interested in in-memory computing based on emerging non-volatile memories such as MRAM and ReRAM for low power AI applications.
Buddhi Wickramasinghe, Postdoctoral Researcher
Buddhi Wickramasinghe is a Postdoctoral Research Assistant at School of Electrical and Computer Engineering, Purdue University. She received her Ph.D. (2021) in Electrical Engineering from the University of New South Wales, Australia and B.Sc. (2016) in Computer Engineering from the University of Peradeniya, Sri Lanka. Her PhD thesis, Replay Detection in Voice Biometrics: An Investigation of Adaptive and Non-Adaptive Frontends, was recommended for the Dean’s Award for Outstanding PhD Theses in 2021. Her research interests include neuromorphic computing, explainable machine learning and auditory signal processing.