Aashish Yadavally
ECSS 4.417
The University of Texas at Dallas
Richardson, TX 75082
For starters, my first name is pronounced / ɑ:ʃi:ʃ /.
I am a fifth-year Ph.D. student in Computer Science at the University of Texas at Dallas. With Dr. Tien N. Nguyen as my research advisor, I am curently exploring problems at the intersection of Artificial Intelligence and Software Engineering. In particular, I am interested in exploring the ability of machine learning models in understanding program behaviors - enabling the analysis of partial programs for improving security of software systems. Our work has received multiple best paper awards, including the ACM SIGSOFT Distinguished Paper Award at FSE 2024, and the IEEE TCSE Distinguished Paper Award at SANER 2022.
Through my academic journey, I have been fortunate to work under the guidance of/with wonderful people and researchers in:
Dr. David Shaohua Wang is an Assistant Professor in the Department of Informatics, New Jersey Institute of Technology.
Dr. Frederick Maier is the Associate Director of the Institute for Artificial Intelligence, University of Georgia.
Dr. Hemant Patil heads the Speech Research Lab, and is a Professor at the Dhirubhai Ambani Institute for Information and Communication Technology (DA-IICT).
You may see me at the following Conferences or Events
2024 OOPSLA (Pasadena, CA, USA), FSE (Porto de Galinhas, Brazil)
2023 ESEC/FSE (San Francisco, CA, USA), ICSE (Melbourne, Australia)
2022 ASE (Detroit, MI, USA), ICSE (Pittsburgh, PA, USA), SANER (Virtual)
Favourite Quotes
- “The future depends on what we do in the present.” ~ Mohandas Karamchand Gandhi
- “If you work with determination and with perfection, success will follow.” ~ Dhirubhai Ambani
news
Jun 23, 2024 | ACM SIGSOFT Distinguished Paper Award at FSE 2024! |
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May 19, 2024 | Will be joining Amazon as an Applied Scientist Intern for the summer! |
Apr 17, 2024 | Received Distinguished Reviewer Award at MSR 2024! |
Mar 1, 2024 | Awarded the ACM SIGSOFT CAPS Travel Grant of USD 500 to attend FSE 2024. |
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, on Contextuality of Code Representation Learning. |