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Song Wang obtained his Ph.D. degree from the University of Waterloo in January 2019. He is currently serving as an Associate Editor for the ACM Transactions on Software Engineering and Methodology (TOSEM). His work is situated at the intersection of Software Engineering and Artificial Intelligence, focusing on leveraging AI technologies to tackle challenges in software reliability practices. Dr. Wang is actively developing software reliability assurance techniques aimed at enhancing the reliability of AI systems. His research extensively covers areas such as Large Language Models (LLMs) to optimize and reshape software testing methodologies, including mobile testing, fuzz testing, and functional testing. He has published over 60 papers in prestigious IEEE and ACM Software Engineering journals and flagship conferences, achieving 2,600 citations to date. His work has been recognized with multiple awards, including the Distinguished Paper Award at the APSEC'23, ACM Distinguished Paper Awards at ICPC'22 and ICSE'20, and Paper Award at PROMISE'19. In 2020, he was recognized as one of the top 10 impactful early-career researchers by the Software Engineering Journal Systems Software.
Department of Liberal Arts & Professional Studies graduate programs generally follow the Faculty of Graduate Studies (FGS) B+ minimum requirement.