My CVAbout Me
Jiawei Li (李嘉伟) is a Software Engineering Ph.D. candidate at University of California, Irvine, supervised by Dr. Iftekhar Ahmed at STAIRS lab. He received his Master’s degree in Computer Science at University of California, Irvine, and his Bachelor’s degree in Software Engineering at Xi’an Jiaotong University.
Research Interests
- Commit message quality evaluation and generation
- Test smell detection and analysis
- AI-generated source code detection
- Multi-LLM based agents for Software Engineering
- Code review automation
- Defect prediction
- Machine learning
- Large language models
His research interests mainly lie in the application of machine learning and large language models to the automation of Software Engineering-related tasks such as commit message quality evaluation, commit message generation, AI-generated code detection, defect prediction and more.
Services
- Program Committee Member, 2026 23rd International Conference on Mining Software Repositories, Junior PC (MSR)
- Program Committee Member, 2026 International Conference on Evaluation and Assessment in Software Engineering, AI Models/Data track (EASE)
- Reviewer (Full length technical paper), Empirical Software Engineering
- Reviewer (Full length technical paper), Automated Software Engineering
- Reviewer, 2025 15th Berlin Machine Learning Workshop
- Shadow Research Track Program Committee Member, 2026 48th IEEE/ACM International Conference on Software Engineering (ICSE)
- Reviewer (Full length technical paper), IEEE Transactions on Reliability
- Shadow Research Track Program Committee Member, 2025 47th IEEE/ACM International Conference on Software Engineering (ICSE)
- Program Committee Member (Artifact Evaluation), 2025 47th IEEE/ACM International Conference on Software Engineering (ICSE)
- Reviewer (Full length technical paper), Transactions on Software Engineering and Methodology (TOSEM)
- Graduate Mentor, Global Research Experience in Artificial inTelligence (GREAT) Program
Industry Experience
- Applied scientist Intern at Amazon.com Inc, 2025 Summer
- Designed an automated approach incorporating LLMs, Embedding Models, and Knowledge Graphs to evaluate an agentic LLM-powered chatbot, including its intermediate logic flow and final response.
- Designed a heuristic-based LLM-powered approach based on LLM’s interpretation confidence to evaluate the quality of the human-written queries.
Hobbies
- Passion: Karate
- Finger Style Guitar
He is extremely passionate about Martial Arts such as Karate and Taekwondo.