I’m an Associate Research Scientist in the College of Electronics and Information Engineering at Shenzhen University. Prior to joining Shenzhen University in 2020, I was a co-founder and AI scientist of Aiator Inc., where I developed the core technologies focusing on AI enhanced robots for various applications and developed and deployed deep learning based algorithm for 16 commercial projects, including financial projects such as quantitative evaluations of investment strategy and risk control analysis for P2P individuals. My current research involves the integration of various Machine Learning algorithms with renewable power forecasting for grid integration. Such algorithms include but are not limited to Asymmetric Siamese Network, Generative Adversarial Networks, YOLO v4, Unet3+ and CNN+RNN(resnet+lstm).
PhD in Mechanical and Aerospace Engineering, 2015
University of California San Diego
MS in Material Science, 2011
University of Pennsylvania
BS in Applied Physics, 2010
Hong Kong University of Science and Technology