Short Bio

Dr. Masud Rahman is a tenure-track Assistant Professor in the Faculty of Computer Science, Dalhousie University. He received his Ph.D. in Computer Science/Software Engineering from the University of Saskatchewan. He was advised by Prof. Dr. Chanchal Roy. He also completed his Postdoc from the Polytechnique Montreal and was advised by Prof. Dr. Foutse Khomh.

Masud got featured at the (1) Department of Computer Science, the (2) University of Saskatchewan and the (3) Stack Overflow Blog

Software bugs are inevitable! With the rise of highly complex computation frameworks (e.g., Deep Learning, Cloud Computing), these bugs could be a nightmare both for software users and for software developers! Masud's research focuses on (1) better understanding the software bugs and failures and (2) developing intelligent, automated, and cost-effective software solutions for combatting them. He uses a blend of Software Engineering, Information Retrieval, Machine/Deep Learning, Mining Software Repositories, Natural Language Processing and Big Data Analytics in his research. To date, his works were published in several major venues of Software Engineering -- ICSE (A*), ESEC/FSE (A*), EMSE (A), ASE (A), ICSME (A) and MSR (A). Dr. Rahman has been awarded the prestigious Governor General's Gold Medal 2019, U of S Doctoral Thesis Award 2019, 2019 Best PhD Thesis Award, Dr Keith Geddes Award 2017 (PhD Student of the Year), NSERC Industry Engage Grant, and the prestigious President Gold Medal for his research excellence and outstanding academics. He has been serving as a reviewer for the top Software Engineering journals (e.g., TSE, TOSEM, EMSE, JSS, IST, SQJ).

Message to Prospective Students: RAISE Lab is looking for multiple highly motivated, hard working PhD students with an evidence of research excellence and communication skill (e.g., writing). If you are enthusiastic about solving real-life Software Engineering problems and your credentials meet these requirements, please send your (1) CV (including major achievements), (2) BSc/MSc transcripts, (3) IELTS/TOEFL scores (more details), (4) sample publications, and (4) one-page summary of your past research excellence to masud[DOT]rahman[AT]dal[DOT]ca. The one-page summary should also include how your past experience might align with our research goals and interests. It should be noted that only potentially eligible candidates might be contacted for an interview due to a high volume of applicants. More details about the admission into Dalhousie University.

Check out Masud's:

CV

publications

developed tools

released artifacts