Scholar
Qiaolin Qin
Google Scholar ID: hzQSPFUAAAAJ
Polytechnique Montreal
Citations & Impact
Citations
12
H-index
2
i10-index
0
Publications
9
Co-authors
0
Publications
Resume
Academic Achievements
- 2025: 'Prune Bias From the Root: Bias Removal and Fairness Estimation by Pruning Sensitive Attributes in Pre-trained DNN Models' and four other papers accepted to Information and Software Technology (IST); 'Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization' and one other paper accepted to ICSME 2024; 2024: 'Wrangling Data Issues to be Wrangled: Literature Review, Taxonomy, and Industry Case Study' as an arXiv preprint.
Research Experience
- Lecturer for LOG8371E: Software Quality Engineering (Fall 2025); Teaching Assistant for LOG6305: Techniques avancées de test du logiciel (Winter 2025); Program Committee Member: The International Workshop on Fairness in Software Systems (Fairness), Journal-First Co-Chair, 2026; The International Conference on Technical Debt (TechDebt), Committee Member in Technical Papers track, 2026; The International Conference on Collaborative Advances in Software and Computing (CASCON), Committee Member in Artifacts track, 2025; The International Conference on Evaluation and Assessment in Software Engineering (EASE), Committee Member in AI Models / Data track, 2025; Journal Reviewer: IEEE Transactions on Software Engineering (TSE), Information and Software Technology (IST); Volunteering: The IEEE/ACM International Conference on Software Engineering (ICSE), 2025; Software Engineering for Machine Learning Applications Symposium (SEMLA), 2024; Industrial Experience: Air Canada, Data Analyst Intern (Sep. 2023 – Aug. 2024); Intel Joint Research Institute on Intelligent Edge Computing, Computer Vision Algorithm Engineer Intern (Aug. 2022 – Apr. 2023).
Education
- Ph.D. in Software Engineering, Polytechnique Montreal, Montreal, Canada, 2023 - present; Bachelor of Engineering in Artificial Intelligence, Southeast University, Nanjing, China, 2019 - 2023; Supervisors: Professor Heng Li and Professor Ettore Merlo.
Background
- Currently a Ph.D. student at Polytechnique Montreal, with research interests in data engineering, log analysis, AI fairness, and explainability. Prefers statistic-based solutions over LLM-based approaches.
Miscellany
- Enjoys bodybuilding, currently a member of the UdeM dragonboat team; deadlift PR is 265 (with straps); favorite Pokémon are Clogsire and Quagsire, followed by Dragonite and Riolu.