news

Feb 21, 2024 One paper accepted at FORGE 2024.
Jan 22, 2024 One paper accepted at FSE 2024.
Jan 15, 2024 Invited talk at TOOS, University of Luxembourg.
Dec 23, 2023 Two papers accepted at OOPSLA 2024.
Dec 1, 2023 Will be attending ESEC/FSE 2023 at San Francisco, USA.
Dec 1, 2023 Awarded the NSF Student Travel Grant to attend MAPS Workshop, co-located with ESEC/FSE 2023.
Oct 1, 2023 Will be serving in the Junior Program Committee at MSR 2024 in the Technical Research track.
Oct 1, 2023 Awarded the ACM SIGSOFT CAPS Travel Grant of USD 400 to attend ESEC/FSE 2023.
Oct 1, 2023 One paper accepted at ICSE 2024.
Jul 1, 2023 Two papers accepted at ESEC/FSE 2023.
May 1, 2023 Will be attending ICSE 2023 at Melbourne, Australia.
May 1, 2023 Nomination for ACM SIGSOFT Distinguished Paper Award
Apr 1, 2023 Will be serving in the Program Committee at ICSE 2024 in the Artifact Evaluation track.
Apr 1, 2023 Awarded the ACM SIGSOFT CAPS Travel Grant of USD 500 to attend ICSE 2023.
Dec 1, 2022 Two papers accepted at ICSE 2023.
Dec 1, 2022 Will be serving in the Junior Program Committee at MSR 2023 in the Technical Research track.
Oct 1, 2022 Will be attending ASE 2022 at Rochester, MI, USA.
Aug 1, 2022 Two papers accepted at ASE 2022.
Jun 1, 2022 Started as a Graduate Research Assistant under Dr. Tien N. Nguyen.
May 1, 2022 Will be attending ICSE 2022 at Pittsburgh, PA, USA.
Mar 1, 2022 Will be attending SANER 2022 virtually.
Mar 1, 2022 IEEE TCSE Distinguished Paper Award.
Dec 1, 2021 One paper accepted at SANER 2022.
Sep 1, 2021 Began pursuing research under Dr. Tien N. Nguyen, at the intersection of Artificial Intelligence and Software Engineering.
Aug 1, 2021 Awarded First Prize in Project Dazzle, an internal Hackathon at A.I. Camp for building an AI-powered visual search engine, rubrix, which performs image search and reverse image search.
Jun 1, 2021 Began working as a Data Scientist Intern at A.I. Camp.
Jul 1, 2020 Started career as a Ph.D. student in Computer Science at the University of Texas at Dallas.
Jul 1, 2020 Successfully defended my Masters’ thesis titled “An Exploration of Machine Learning Based Day-Ahead Solar Irradiance Forecasting Methodologies”, and graduated with an M.S. degree in Artificial Intelligence.
May 1, 2020 Passed Comprehensive Oral Examination, inching a step closer towards completing my Master’s degree.