PhD Student (Fast-track)
Queen's University, Kingston, Canada

	Kingston, ON, Canada
	kaziamithasan89 at gmail dot com
	kaziamit dot hasan at queensu dot ca

Hi, welcome! I am a Ph.D. student in the School of Computing at Queen's University, Canada, working under the supervision of Dr. Yuan Tian, Associate Professor, Queen's University and Dr. Steven H. H. Ding, Assistant Professor, McGill University in the broad area of Mining Software Repositories and Software Security. I am also fortunate to collaborate with Dr. Safwat Hassan (Assistant Professor, UofT) and Dr. Bram Adams (Professor, Queen's University). Prior to starting my Ph.D., I worked as a Machine Learning Engineer at ACI Limited in Bangladesh.

Research Area: Empirical Software Engineering, Code Change & PR Management, Software Security and Vulnerability Management, DevOps, and LLMs for SE.

My research focuses on improving code change and vulnerability management in collaborative software development. My work addresses the central tension in modern software development: How can we make collaborative development faster without sacrificing reliability, and how can we help projects stay secure without slowing down their workflows?

To answer this, my research is built on three pillars:

• Intelligent Code Change Management: I focus on optimizing the pull-request (PR) workflow. I build intelligent systems to speed up code change integration, aiming to develop techniques that measurably improve PR throughput and shorten turnaround times without compromising code quality or developer experience.
• Proactive Vulnerability Management: I design automated systems to maintain security within the development pipeline. I aim to accelerate vulnerability remediation and improve effective vulnerability management , with a focus on reducing the Mean Time to Repair (MTTR) for critical alerts.
• LLMs for SE Automation: I combine large-scale empirical analysis (Mining Software Repositories) with applied machine learning and Large Language Models (LLMs) to build and validate these intelligent systems. I am currently exploring how models can be used to not only detect vulnerabilities but to autonomously and safely propose remediations within the PR workflow.

Beyond these pillars, my research also expands to understand the critical socio-technical factors that ensure project-level success. This includes investigating communication challenges within GitHub, as breakdowns in communication can directly lead to pull request abandonment and undermine pipeline health. I also explore the security and robustness of LLM agents in the wild, and the broader causes of software abandonment, framing my work in the larger context of long-term software sustainability. You can find a list of my publications on my Google Scholar.

Personal: Outside of research, I enjoy lifting at the gym 💪, exploring new coffee spots ☕, long drives 🚗 and spending time with friends and family. If you’d like to hear more about my work or are interested in collaborating, feel free to reach out!

Recent News

Education

• Ph.D. in Computing (Software Engineering) · May 2023 – Present Current
  Queen's University, Kingston, ON, Canada
• M.Sc. (Thesis) in Computing (Software Engineering) · Sept 2022 – May 2023
  Queen's University, Kingston, ON, Canada
  Promoted directly to the Ph.D. program for outstanding research contributions.
• B.Sc. in Computer Science and Engineering · Jan 2016 – Oct 2021
  Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh