Hao Dong received his bachelor's degree of Engineering with first class honours from University of Central Lancashire in 2011. In 2012, Hao Dong received master's degree of Science with distinction in Computing from Imperial College London and his Ph.D. degree in Computing Research under the supervision of Professor Yi-ke Guo in Fall 2019. His research centers on algorithms and applications of artificial intelligence, including deep learning, machine creation, and its applications in computer vision and medical data analysis. Up to September 2019, Dr. Hao Dong has published 20 papers on top international conferences and magazines and have been cited more than 500 times. Meanwhile, TensorLayer, a Deep Learning (DL) and Reinforcement Learning (RL) library developed by Dr. Dong Hao, was awarded the Best Open Source Software Award at ACM Multimedia 2017.
Dr. Hao Dong joins CFCS, Peking Univeristy in August 2019 as an assistant professor of EECS. Before he officially joins PKU, Dr. Dong Hao has started the open source and scientific training of the Turing class, released TensorLayer 2.0 version, and developed a large number of applications based on this, for example, the full set of reinforcement learning algorithms. Relevant scientific research results are expected to be published on top international conferences in the near future. In the future, Dr. Dong Hao will carry out theoretical research in artificial intelligence, deep learning, machine creation, and applications in computer vision and medical AI. Dr. Dong Hao also plans to work with the labs of CFCS, MILA, UCB, Imperial College London, University of Oxford and University of Cambridge. In addition, Dr. Hao Dong will open undergraduate/graduate courses related to machine learning and deep learning. In the construction of open source platform, Dr. Dong Hao will strengthen the open source team building of undergraduates in EECS and cultivate open source culture.
Know more about Dr. Hao Dong: https://zsdonghao.github.io/