Yasutaka Kamei

Yasutaka Kamei is a Full Professor at the Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University since 2024. He holds a Doctorate in Information Science from Nara Institute of Science and Technology and has been a InaRIS Fellow since 2023. His career spans roles as Associate Professor (2015-2023), Visiting Researcher at Queen's University (2015-2017), and Assistant Professor (2011-2015).

Research Fields: Specializing in Empirical Software Engineering, he investigates software reliability, defect prediction, code review practices, and mining software repositories. His work on fuzz testing, technical debt, and automated program repair has produced influential frameworks like TraceJIT and PAFL. He pioneered studies on developer behavior in GitHub and federated learning for cross-project defect prediction.

Scientific Trends: Recent publications focus on LLM applications in mutation testing, visual bug reporting, and CI/CD inefficiencies. His team explores developer-centric challenges in modern practices, including token-based micro commits and fuzzing build failures.

Awards & Grants:

• InaRIS Fellowship (2023): 10-year, 100M yen grant for human-machine interaction in software development
• IPSJ/ACM Early Career Award (2013)

Leadership: He chairs PC for MSR2018, co-organizes NII Shonan Seminars, and serves on committees for ICSE, ASE, and SANER conferences. His editorial roles include Empirical Software Engineering and Automated Software Engineering journals.