Currently, Dr. Hao Geng is a tenure-track Assistant Professor at ShanghaiTech University. Prior to that, he got Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong (CUHK) in 2021. Previously, he received M.Sc. from Imperial College London in 2016, and M.Eng. from the University of Science and Technology of China in 2015.

Dr. Geng has been working on some very important and challenging problems in electric design automation (EDA), which is a crucial interdisciplinary area to further extend Moore’s Law. In particular, he is currently concentrating on some emerging machine learning techniques for EDA. He has conducted research in chip design space exploration, design for manufacturability and computational lithography. Many of his papers have been published in top-tier venues. Especially, as the first author or corresponding author, he has published 18 papers at IEEE Trans. on CAD, DAC, ICCAD , DATE and ASPDAC which are at CCF-A rank or top-tier EDA conference. Dr. Geng serves as a reviewer of many journals like TCAD, TCAS-I, ICCAD, TCAS-II, ASPDAC, TODAES, and JVLSI.