Aashish Yadavally

Affiliations. Research. Academic Service. Contacts.

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ECSS 4.417

The University of Texas at Dallas

Richardson, TX 75082

Bio:   I will be joining the University of Central Florida as an Assistant Professor starting Fall 2025. I recently completed my Ph.D. in Computer Science at the University of Texas at Dallas, advised by Prof. Tien N. Nguyen.

Prospective Students:   I am actively looking for brilliant students with a strong foundation and interest in programming languages, compilers, software engineering, and/or AI to join my research group, SAIL@UCF (Software Engineering and Artificial Intelligence Research Lab, webpage coming shortly). Feel free to reach out with a copy of your CV and background, via email: aashish [dot] yadavally [at] ucf [dot] edu

Research Interests:   My research lies at the intersection of Artificial Intelligence (AI) and Software Engineering (SE). I explore if/how large language models understand and reason about program behaviors. Most recently, I am interested in quantifying such understanding capabilities, and training the next-generation of code reasoning models to optimize software development processes. My work has been recognized by the community with multiple accolades, including the ACM SIGSOFT Distinguished Paper Award at FSE 2024, the IEEE TCSE Distinguished Paper Award at SANER 2022, and a nomination at ICSE 2023.

You can find 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

Apr 1, 2025 Two papers accepted at FSE 2025.
Jan 1, 2025 Two papers accepted at ICSE 2025.
Dec 3, 2024 Successfully defended my Ph.D. Topic Proposal. Special thanks to my committee members, Drs. Tien N. Nguyen, Wei Yang, Shiyi Wei, and Baishakhi Ray.
Jul 15, 2024 Will be attending FSE 2024 at Porto de Galinhas, Brazil.
Jun 23, 2024 :trophy: ACM SIGSOFT Distinguished Paper Award at FSE 2024!
May 19, 2024 Will be joining Amazon as an Applied Scientist Intern for the summer!
Apr 17, 2024 :trophy: Received Distinguished Reviewer Award at MSR 2024!

selected publications

  1. preview-icse2025-(2).png
    Large Language Models for Safe Minimization
    Aashish Yadavally, Xiaokai Rong, Phat Nguyen, and Tien N. Nguyen
    2025
  2. preview-fse2024.png
    Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning
    Aashish Yadavally, Yi Li, and Tien N. Nguyen
    Proc. ACM Soft. Engg., 2024

    🏆 ACM SIGSOFT Distinguished Paper Award

  3. preview-oopsla2024.png
    A Learning-Based Approach to Static Program Slicing
    Aashish Yadavally, Yi Li, Shaohua Wang, and Tien N. Nguyen
    In , Apr 2024
  4. preview-esecfse2023-(2).png
    Commit-Level, Neural Vulnerability Detection and Assessment
    Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, and Tien N. Nguyen
    In ESEC/SIGSOFT FSE, Apr 2023
  5. preview-icse2023-(1).png
    (Partial) Program Dependence Learning
    Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, and Shaohua Wang
    In ICSE, Apr 2023

    🏆 Nominated for ACM SIGSOFT Distinguished Paper Award

  6. preview-icse2023-(2).png
    DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection
    Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, and Aashish Yadavally
    In ICSE, Apr 2023
  7. preview-saner2022.png
    Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications
    Thanh V. Nguyen, Aashish Yadavally, and Tien N. Nguyen
    In SANER, Apr 2022

    🏆 IEEE TCSE Distinguished Paper Award