Internetware 2024
Wed 24 - Fri 26 July 2024 Macau, China
Masud Rahman

Registered user since Mon 24 Jul 2017

Name:Masud Rahman

Dr. Masud Rahman is a tenure-track Assistant Professor in the Faculty of Computer Science at Dalhousie University, Canada. He received his Ph.D. in Computer Science/Software Engineering from the University of Saskatchewan, Canada.

Masud leads the RAISE Lab at Dalhousie University. He is interested in the intelligent automation of software maintenance and evolution. He focuses on (a) a better understanding of software maintenance challenges with a particular focus on software debugging, code search, and code reviews, and (b) designing intelligent, automated, and cost-effective solutions to overcome these challenges and thus to make the developers’ lives easier. He uses a blend of Software Engineering, Machine/Deep Learning, Information Retrieval, Mining Software Repositories, Natural Language Processing, and Generative AI in his work. His research interests have been significantly shaped by his three years of experience as a professional developer in the software industry. He has been actively collaborating with several industry partners (e.g., Metabob Inc.) and previously collaborated with Mozilla Firefox and Vendasta Technologies.

Masud’s work was accepted in several major venues of Software Engineering including ICSE, ESEC/FSE, ASE, EMSE, TOSEM, ICSME, MSR, and SANER. Dr. Rahman received multiple prestigious awards such as Governor General’s Gold Medal 2019, U of S Doctoral Thesis Award 2019, CS Best PhD Thesis Award 2019, and TCSE Distinguished Paper Award for his research excellence and outstanding academics. To date, Masud has been awarded $500K+ in competitive research funding and his grants include NSERC Discovery Grant, Mitacs Accelerate International, NSERC Postdoctoral Fellowship, Dalhousie BELONG Program, and Climate Action and Awareness Fund. He has also been serving the top journals and conferences of Software Engineering in various capacities.

Affiliation:Dalhousie University
Research interests:Software Engineering


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