About

Hello!

I am a final-year Ph.D. candidate at the University of Virginia (UVA). I am a member of the UVA LESS lab, supervised by Dr. Matthew Dwyer. My research interests lie at the intersection of Software Engineering and Machine Learning. I leverage program analysis and AI/ML techniques to enhance the cost-effectiveness of various software engineering tasks, including testing, debugging, and program repair. For more details, please see my CV.

Education

• Ph.D., Computer Science, LESS Lab, University of Virginia
  Advisor: Matthew Dwyer
  Committee: Sebastian Elbaum, Yangfeng Ji, Matthew Bolton, Antonio Filieri
  Thesis: Assessing and Improving Critical Properties of Test Oracles for Effective Software Bug Detection.

• Master of Computer Science (MCS), University of Virginia
  Project: TOGLL: Correct and Strong Test Oracle Generation with LLMs.

• B.Sc., Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET)
  Thesis: Balanced Coverage in Fault-Tolerant Broadcasting for Wireless Multi-hop Networks.

News

• Nov 2024: My paper TOGLL: Correct and Strong Test Oracle Generation with LLMs is accepted at ICSE’25 Research Track.
• Sep 2024: Received travel grant to attend the SWE24 — the world’s largest conference for women in engineering and technology—from October 23–26 in Chicago, IL.
• Sep 2024: Received UVA’s most prestigious endowed fellowship! This fellowship is awarded to outstanding doctoral students with an award of $12,000.
• May 2024: Received Master of Computer Science (MCS) from UVA with a CGPA of 4.0/4.0! [gallery]
• May 2024: Defended my PhD dissertation proposal, titled Assessing and Improving Critical Properties of Test Oracles for Effective Software Bug Detection [gallery]
• April 2024: Attended ICSE’24 in beautiful Lisbon, Portugal, and presented my paper at the doctoral symposium [gallery]
• April 2024: Honored to be selected as one of the five finalists at UVA Research Computing Exhibition 2024!
• April 2024: My paper A Deep Dive into Large Language Models for Automated Bug Localization and Repair is accepted at FSE’24 Research Track.
• December 2023: My paper Ensuring Critical Properties of Test Oracles for Effective Bug Detection is accepted at the ICSE’24 Doctoral Symposium.
• December 2023: Presented our paper Neural-Based Test Oracle Generation: A Large-Scale Evaluation and Lessons Learned at FSE’23 (Dec 3-9) in San Francisco, CA [gallery]
• October 2023: Honored to receive Student Choice Research Award at CS Department Research Symposium 2023.
• July 2023: Our paper Neural-Based Test Oracle Generation: A Large-scale Evaluation and Lessons Learned is accepted at the FSE’23 research track.
• June 2023: Started summer internship at AWS CodeCatalyst team in Santa Clara, CA.
• May 2023: Presented our paper at ICSE’23 in Melbourne, Australia [gallery]
• May 2023: Received the John A. Stankovic Outstanding Graduate Research Award [gallery]
• April 2023: Attended CRA Grad Cohort in San Francisco, CA [gallery]
• February 2023: Our research artifact is accepted at the ICSE Artifact Evaluation Track.
• December 2022: Our paper on Measuring and Mitigating Gaps in Structural Testing is accepted at the ICSE’23 technical track.
• May 2022: Started summer internship at AWS Code Guru team in Seattle, WA.
• May 2022: Received Outstanding Graduate Service Award [gallery]
• April 2022: Attended ICSE’22 in Pittsburgh.
• December 2021: Received Outstanding Research Poster Award at CS Research Symposium.
• December 2021: Organized CS Department Research Symposium, News, Tweet.
• September 2021: Passed the Ph.D. Qualifying Exam with flying colors!
• April 2021: Attended the CRA-W Grad Cohort Workshop 2021 (virtual due to COVID-19).
• February 2021: Started working as a TA for graduate compilers (CS 6620) by Prof. Matt Dwyer.
• August 2019: Started Ph.D. in CS at the University of Virginia.