Foyzul’s research is in the area of Software Engineering, with a focus on DevOps, VR/AR test optimization, software build processes, script code analysis, program repair, and fault localization. His research goal is to enhance software development productivity by supporting developers through tools that leverage program analysis, automated program repair, fault localization, and machine learning (ML) techniques for Software Engineering. He has published in top-tier software engineering venues, including ICSE, ASE, ESEM, and TOSEM. Recently, Foyzul received the NSF’s CRII award—often referred to as the “Mini CAREER Award”—for his work on ML-based Continuous Integration.
Foyzul Hassan
Assistant Professor, Computer and Information Science, College of Engineering and Computer Science, University of Michigan - Dearborn
