I am a Graduate Research Assistant in the Cognitive Optimization and Relational (CORE) Robotics lab, led by Prof. Matthew Gombolay. My research interests focus on graph-based policy learning that utilizes graph neural networks for representation learning and reinforcement learning for decision-making, with applications to human-robot team collaboration, multi-agent reinforcement learning and stochastic resource optimization. Prior to this, I was a GRA in GT-Bionics lab, where my research focused on computer vision for biomedical applications.
I am a Ph.D. student in the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology. I received the B.S. degree and the M. E. degree, both in Electrical Engineering, from Shanghai Jiao Tong University. I also received the M.S. degree from ECE, Georgia Tech.
I am on the job market for an industrial research position.
(May 2022) I will give a coding tutorial on graph neural networks for multi-robot coordination in AAMAS 2022. Try it yourself in Google Colab!
(Aug. 2021) Our preprint on learning heterogeneous communication for composite robot teams is out.