Antu Saha
McGlothlin-Street Hall 110,
251 Jamestown Rd., Williamsburg,
VA 23185, USA
My research lies at the intersection of AI for Software Engineering and Software Maintenance and Evolution. I design, build, and evaluate techniques that leverage large language models (LLMs), multimodal learning, and empirical methods to automate software quality tasks—particularly bug report management, issue resolution, and developer tooling. My work bridges automated techniques and real-world practice through human studies, developer interviews, and large-scale dataset construction.
Previously, I was a Lecturer in the Department of Computer Science and Engineering (CSE) at Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh (2018–2022), and in the Department of Computer Science and Engineering (CSE) at Military Institute of Science and Technology (MIST), Bangladesh (2018). I graduated with a B.Sc. degree in Computer Science & Engineering (CSE) from Rajshahi University of Engineering & Technology (RUET), Rajshahi, Bangladesh.
News
Presenting our paper Rethinking Issue Resolution for AI/ML Systems at ICSME'26 in Auckland, New Zealand.
Paper titled Rethinking Issue Resolution for AI/ML Systems accepted to the Vision Track of ICSME'26.
Attended ICSE'26 in Rio de Janeiro, Brazil: presented a Doctoral Symposium poster, served as a session chair, and volunteered.
Paper titled Automatically Enhancing the Quality of Android App Bug Reports is available on arXiv.
Received the NSF Travel Grant, SIGSOFT Travel Support (CAPS), WM CS Conference Grant, and GSA Conference Grant to attend ICSE'26.
Doctoral Symposium paper titled Studying and Automating Issue Resolution for Software Quality accepted to ICSE'26.
Paper titled Automatically Identifying Solution-Related Content in Issue Report Discussions with Language Models is available on arXiv.
Joined the Program Committee of MSR'26.
Received the International Student Achievement Award at William & Mary.
Received WM CS Conference Grant to attend ICSE'25.
Paper titled Decoding the Issue Resolution Process in Practice via Issue Report Analysis: A Case Study of Firefox accepted to ICSE'25.
Paper titled Combining Language and App UI Analysis for the Automated Assessment of Bug Reproduction Steps accepted to ICPC'25.
Paper titled SPRINT: An Assistant for Issue Report Management accepted to MSR'25.
Received Best Poster Presentation Award in W&M CS Symposium for Graduate Studies - 2024.
Received SIGSOFT Travel Support (CAPS).
Received GSA Conference Funds.
Received WM CS Conference Funds.
Presented paper at ISSTA'24.
Paper titled Toward the Automated Localization of Buggy Mobile App UIs from Bug Descriptions accepted to ISSTA'24.
Received the W&M Graduate Research Seed Grant for the project Decoding the Issue Resolution Process in Practice via Issue Report Analysis.
Attended and volunteered in ICSE'24.
Received Best Poster Presentation Award in W&M CS Symposium for Graduate Studies - 2023.
Attended and volunteered in ICSME'23.
Became the Web ChairW&M CS Symposium for Graduate Studies - 2023.
Got admission to candidacy for the Ph.D. degree.
Received summer research fellowship from William & Mary.