software testing and debugging, empirical software engineering, AI-aided software engineering, software engineering for AI, software engineering.

Yongqiang Tian is currently a Lecturer (a.k.a. Assistant Professor in North American systems) at the Department of Software Systems and Cybersecurity, the Faculty of Information Technology, Monash University. Before that, he was a Research Assistant Professor at the Hong Kong University of Science and Technology. He holds a dual Ph.D. in Computer Science from University of Waterloo and the Hong Kong University of Science and Technology. His research focuses on software testing and debugging, with specific emphasis on deep learning systems and compilers. He has identified over 500 bugs in popular software systems, including GCC, LLVM, TVM, and so on. His research outcomes have been published in esteemed peer-reviewed journals and conferences, such as TOSEM, ICSE, ASPLOS, FSE, ISSTA, EmSE, and IJCAI. His projects have attracted funding from notable grant agencies and industry partners like Microsoft and Cisco. He has been invited to contribute to several top peer-reviewed venues as a reviewer or program committee member, including TOSEM, TSE, FSE, ASE, ISSTA, and ISSRE. He is the recipient of the Hong Kong PhD Fellowship and GO-Bell Scholarship.