Kazi Amit Hasan
headshot

Contact Me:

Email: kaziamit.hasan@queensu.ca
Address: School of Computing, Queen's University, Kingston, ON, Canada

Research Interests:

Data Mining, Software Engineering, Machine Learning, Optimization in GitHub Actions, Miscommunication in Software Development.

Open Source Contributions:

data-inspector
pr-stats
PR-Accelerator

About

Kazi Amit Hasan is currently pursuing his PhD in Computing at Queen's University under the supervision of Dr. Yuan Tian and Dr. Steven Ding. His research interests encompass a broad spectrum, including data mining, software engineering, and machine learning. Prior to his doctoral studies, he worked as a Machine Learning Engineer at ACI Limited in Bangladesh.

Quick Preview

  • 5 years of experience in ML, DS, Analytics, and Statistical Analysis
  • Kaggle Competition Expert (x4) [Top 0.6%]
  • Top ranks in 11+ ML competitions (Kaggle, Hackerearth)
  • Latest Publication: A First Look at Self-Admitted Miscommunications in GitHub Issues [HSCE&CS 2024]
  • Latest ML Competition Rank: Runners Up in Robi Datathon 2.0

Education

  • Doctor of Philosophy - PhD in Computing, Queen's University (May 2023 - Present)
  • Master of Science - MSc in Computing, Queen's University (September 2022 - May 2023)
    Promoted to doctoral program without completion of master’s degree for excellent research contribution
  • Bachelor of Science - BSc in Computer Science & Engineering, Rajshahi University of Engineering & Technology (January 2016 - October 2021)

Recent Updates

  • [January 2025] Paper accepted in MSR mining challenge track (MSR 2025)
  • [December 2024] Serving on the program committee for COMPSAC 2025.
  • [December 2024] Received travel grant from ACM SIGSOFT to participate in the ICSE’25 Student Mentoring Workshop in Ottawa, Canada. .
  • [October 2024] Serving on the program committee for SANER 2025.
  • [October 2024] Serving on the junior program committee for MSR 2025.
  • [September 2024] Selected as Head TA for CISC 320.
  • [September 2024] Paper accepted to HCSE&CS 2024.
  • [August 2024] Joined LWB as a part-time bid optimization analyst.
  • [August 2024] Paper accepted in EMSE.
  • [September 2023] Received International Queen's Graduate Award.
  • [August 2022] Runners Up in Robi Datathon 2.0.