Since October 2019, I have been working as a postdoctoral fellow at Polytechnique Montreal. I received my Ph.D. in Computer Science/Software Engineering from the University of Saskatchewan, Canada. I was advised by Prof. Dr. Chanchal Roy. Software bugs are inevitable! With the rise of highly complex computation frameworks (e.g., Deep Learning, Big Data Analytics, Cloud Computing), these bugs could be a nightmare both for software users (e.g., Boeing 737 Max crashes) and for software developers! My research focuses on (1) better understanding software bugs or failures and (2) developing intelligent, automated, robust and cost-effective software solutions for combatting them. At a technical level, I am interested in bug localization, bug reproduction, bug-fixing, concept location, Internet-scale code search and code reviews. My PhD dissertation offers a suite of novel, robust, reliable and cost-effective software solutions that (1) can assist the developers in finding software bugs, software features and reusable code segments from million lines of code, and (2) thus make their lives easier during fixing the bugs or implementing the new software features. A quick demonstration could be found here. My research uses a blend of Software Engineering, Information Retrieval (IR), Machine/Deep Learning (ML/DL), Mining Software Repositories (MSR) and Big Data Analytics.

http://www.linkedin.com/in/masudcseku

Bunch of my research projects running. Please consider to cooperate https://github.com/masud-technope/