Xiaoliang Dai is a 4th year Ph. D. student in Prof. Niraj K. Jha’s group. His research interests include automated neural network architecture synthesis, efficient inference methods for deep neural networks, and latency-driven model adaptation and optimization. He proposed a neural network architecture synthesis algorithm that yields remarkable compression ratio and speed-up for both convolutional neural networks and long short-term memories. In the summer of 2018, he worked as a research intern in the mobile-vision team at Facebook research. Apart from research, he likes playing table tennis, soccer and badminton. Before joining Princeton, he received his B. S. degree from Peking University in 2014.
Akshay Krishna entered the Electrical Engineering department at Princeton University in 2015 after completing a Bachelor’s in Engineering Physics from the Indian Institute of Technology Madras. He is advised by Prof. Ravin Bhatt. His research interest is in theoretical condensed matter physics, more specifically in those problems where creative numerical work can yield insights where analytical or experimental methods are insufficient. Aside from research, he enjoys his assignments as a teaching assistant and likes to spend time outdoors.
Edwin Yoonjang Chung
Edwin Yoonjang Chung earned his B.S. and M.S. degrees in Materials Science and Engineering at Seoul National University, Korea. Although his primary research interest is the design and growth of record quality GaAs/AlAs samples using molecular beam epitaxy, he is also greatly interested in the rich interaction driven physics embedded in the two-dimensional electron systems hosted in these materials.