Scholar
Song Wang
Google Scholar ID: gzyZhcgAAAAJ
Associate Professor at York University, Canada
Citations & Impact
Citations
3,647
H-index
29
i10-index
54
Publications
20
Co-authors
57
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted by top conferences and journals such as ICSE, TOSEM, TSE; received the TOSEM Distinguished Reviewer Award 2023; serving as an Associate Editor of ACM Transactions on Software Engineering (TOSEM); supervised several students who successfully defended their PhD and Master's theses; APSEC'23 paper won a Distinguished Paper Award.
Research Experience
- Associate Professor at the Department of Electrical Engineering and Computer Science at York University
Background
- Research interests include software engineering, software reliability, program analysis, software testing, and machine learning. Specifically, his research focuses on leveraging AI technologies to address challenging issues in software reliability practices (AI for SE) and developing software reliability assurance techniques to improve the reliability and security of AI infrastructure systems (SE for AI). The tools and techniques developed in his research have already helped detect hundreds of true bugs.
Miscellany
- Looking for highly motivated and self-driven students to join his projects
