Research

This page is generated by auto_scholar, created by Kazi Amit Hasan.

Supervisors and Collaborators

Supervisors

Dr. Yuan Tian
Associate Professor, School of Computing, Queen's University, Canada
Dr. Steven H. H. Ding
Assistant Professor, School of Information Studies, McGill University, Canada

Collaborators

Dr. Safwat Hassan (MSR 2025, EMSE)
Assistant Professor, Department of Computer Science, University of Toronto, Canada
Dr. Bram Adams (MSR 2023)
Professor, School of Computing, Queen's University, Kingston, Canada

Peer Reviewed Journal Publications

Journal Co-First Author Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven HH Ding and Ahmed E Hassan. An empirical study on developers’ shared conversations with ChatGPT in GitHub pull requests and issues. Empirical Software Engineering, 2024. []

BibTex

@article{huizi2024an,
  author = {Huizi Hao and Kazi Amit Hasan and Hong Qin and Marcos Macedo and Yuan Tian and Steven HH Ding and Ahmed E Hassan},
  title = {An empirical study on developers’ shared conversations with ChatGPT in GitHub pull requests and issues},
  journal = {Empirical Software Engineering},
  volume = {29},
  number = {6},
  pages = {150},
  year = {2024}
}

Peer Reviewed Conference Publications

Conference Best Presentation Award Best Paper Nomination Steven Ding Kazi Amit Hasan, Jerin Yasmin, Huizi Hao, Yuan Tian and Safwat Hassan. Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem. MSR'25 Mining Challenge, 2025. []

BibTex

@inproceedings{steven2025understanding,
  author = {Steven Ding Kazi Amit Hasan and Jerin Yasmin and Huizi Hao and Yuan Tian and Safwat Hassan},
  title = {Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem},
  booktitle = {MSR'25 Mining Challenge},
  year = {2025}
}

Conference Kazi Amit Hasan, Vu Thanh Loc Mai, Cynthia Wang, Yuan Tian and Steven HH Ding. A First Look at Self-Admitted Miscommunications in GitHub Issues. Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024. []

BibTex

@misc{kazi2024a,
  author = {Kazi Amit Hasan and Vu Thanh Loc Mai and Cynthia Wang and Yuan Tian and Steven HH Ding},
  title = {A First Look at Self-Admitted Miscommunications in GitHub Issues},
  note = {Proceedings of the 39th IEEE/ACM International Conference on Automated …},
  pages = {118-127},
  year = {2024}
}

Conference Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams and Steven Ding. Understanding the Time to First Response In GitHub Pull Requests. IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), 2023. []

BibTex

@inproceedings{kazi2023understanding,
  author = {Kazi Amit Hasan and Marcos Macedo and Yuan Tian and Bram Adams and Steven Ding},
  title = {Understanding the Time to First Response In GitHub Pull Requests},
  booktitle = {IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)},
  year = {2023}
}

Conference Nafiz Sadman, Kazi Amit Hasan, Elyas Rashno, Furkan Alaca, Yuan Tian and Farhana Zulkernine. Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace. 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023. []

BibTex

@inproceedings{nafiz2023vulnerability,
  author = {Nafiz Sadman and Kazi Amit Hasan and Elyas Rashno and Furkan Alaca and Yuan Tian and Farhana Zulkernine},
  title = {Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace},
  booktitle = {2023 IEEE Symposium Series on Computational Intelligence (SSCI)},
  publisher = {IEEE},
  pages = {1164-1169},
  year = {2023}
}

Conference Kazi Amit Hasan and Md Al Mehedi Hasan. Prediction of clinical risk factors of diabetes using multiple machine learning techniques resolving class imbalance. 2020 23rd International Conference on Computer and Information Technology (ICCIT), 2020. []

BibTex

@inproceedings{kazi2020prediction,
  author = {Kazi Amit Hasan and Md Al Mehedi Hasan},
  title = {Prediction of clinical risk factors of diabetes using multiple machine learning techniques resolving class imbalance},
  booktitle = {2020 23rd International Conference on Computer and Information Technology (ICCIT)},
  publisher = {IEEE},
  pages = {1-6},
  year = {2020}
}

Enjoying Research

Doing research is fun, which makes me feel blessed that I am spending my life satisfying this curiosity in my PhD (and also supporting my family) and maybe in the future, too. Besides research itself, I am also enjoying improving my skillset in many other related aspects, such as communication, knowledge, and productivity.