Jiang Hu

Jiang Hu is a professor in the Department of Electrical and Computer Engineering at Texas A&M University. His research interests include EDA, machine learning applications, approximate computing and hardware security. He has co-authored more than 260 technical papers, co-invented 10 patents and co-edited a book. He received best paper awards at DAC 2001, ICCAD 2011, IEEE International Conference on Vehicular Electronics and Safety 2018, MICRO 2021 and ASPDAC 2023. He served as the technical program chair and general chair of the ACM International Symposium on Physical Design in 2011 and 2012, respectively. He was named an IEEE fellow in 2016. He was the technical program co-chair of the ACM/IEEE Workshop on Machine Learning for CAD 2023 and its general co-chair in 2024. Currently, he is the Editor-in-Chief of the ACM Transactions on Design Automation of Electronic Systems.