Siheng Chen is a research scientist at Mitsubishi Electric Research Laboratories (MERL). Before that, I was an autonomy engineer at Uber Advanced Technologies Group, working on the perception and prediction systems of self-driving cars. Before joining Uber, I was a postdoctoral research associate at Carnegie Mellon University. I received the doctorate in Electrical and Computer Engineering from Carnegie Mellon University in 2016, where I also received two masters degrees in Electrical and Computer Engineering and Machine Learning, respectively. I received my bachelor's degree in Electronics Engineering in 2011 from Beijing Institute of Technology, China. I am the recipient of the 2018 IEEE Signal Processing Society Young Author Best Paper Award. My coauthored paper received the Best Student Paper Award at IEEE GlobalSIP 2018.

My current research mainly focuses on data science with graphs, whose goal is to develeop theories and algorithms to analyze large-scale data associated with complex and irregular structures. My research is conducted from three aspects: theory (graph signal processing), algorithms (graph neural networks), and applications (autonomous systems, 3D point cloud processing, and smart infrastructure). My CV is here.