Masud Rahman

Dr. Masud Rahman is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, where he leads the RAISE Lab. He earned his Ph.D. in Computer Science/Software Engineering from the University of Saskatchewan under Prof. Chanchal Roy and completed a postdoctoral fellowship at Polytechnique Montreal with Prof. Foutse Khomh.

• Ph.D., Computer Science/Software Engineering, University of Saskatchewan
• Postdoctoral Fellow, Polytechnique Montreal
• M.Sc., Computer Science, University of Saskatchewan
• B.Sc., Computer Science, Khulna University

His research focuses on the intelligent automation of software maintenance and evolution, particularly in debugging, bug localization, code search, and mining software repositories. He integrates Artificial Intelligence with Software Engineering to tackle challenges in modern software systems, including those involving Large Language Models, Deep Learning, and Cloud Computing. His work addresses critical industry problems such as software bugs, crashes, vulnerabilities, and technical debt, aiming to reduce the immense economic cost of software failures.

Dr. Rahman’s recent publications show a strong trend in applying AI and machine learning techniques to software engineering problems, especially in deep learning systems, reproducibility of bugs, and automated code analysis. His work frequently appears in top-tier venues like ICSE, FSE, ASE, TOSEM, and EMSE.

Scientific Awards:

• Governor General's Gold Medal
• U of S Doctoral Thesis Award
• Best PhD Thesis Award (Computer Science)
• Dr Keith Geddes Award
• Dalhousie Belong Research Fellowship
• President Gold Medal (Bangladesh)
• TCSE Distinguished Paper Award (2020)
• Best Reviewer Award (2 times)
• Best Paper Award (2 times)

Dr. Rahman has successfully advised multiple graduate students and secured over $475K as Principal Investigator and $4.3M as Co-PI from competitive grants including NSERC Discovery, Mitacs Accelerate International, NSERC Alliance, and Dalhousie Startup Fund. He actively contributes to the academic community as a Guest Editor for EMSE Special Issue (SANER 2025), PC Chair, PC Member, and journal reviewer.

He leads the RAISE Lab, which focuses on Research in Artificial Intelligence and Software Engineering, fostering innovation in sustainable software and AI systems.