Junayed Mahmud

Junayed Mahmud is a Research Engineer at Deloitte. He received his Ph.D. in Computer Science from University of Central Florida in 2026, where he worked at the SAGE Research Lab, advised by Dr. Kevin Moran; his dissertation is titled Multimodal Learning for Automated Bug Report Management. Junayed graduated with his M.S. in Computer Science from George Mason University, USA in 2023 and B.S. in Computer Science and Engineering from Islamic University of Technology, Bangladesh in 2016. He worked at Samsung R&D Institute Bangladesh Limited before starting his Ph.D.

His primary research interests include Automated Bug Report Management, specifically assessing bug report quality, bug localization, and UI-centric program repair. This research utilizes empirical methods, leverages multimodal information resources (e.g., bug reports, graphical user interfaces (GUIs), and source code), and adapts multiple techniques based on information retrieval, program analysis, machine/deep learning, and large language models (LLMs). Additionally, he works on improving automated software documentation utilizing the information available from GUIs and source code.

For more details on his research, please visit his publications page.