Aashish Yadavally

Affiliations. Research. Academic Service. Contacts.

prof_pic.jpg

ECSS 4.417

The University of Texas at Dallas

Richardson, TX 75082

Bio:   I am an Assistant Professor in Computer Science at the University of Central Florida.

I recently earned my Ph.D. in Computer Science from the University of Texas at Dallas, where I was advised by Prof. Tien N. Nguyen. My research broadly lies at the intersection of Artificial Intelligence (AI) and Software Engineering (SE). In particular, I explore if/how large language models understand and reason about program behaviors. More 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 and the IEEE TCSE Distinguished Paper Award.

Prospective Students:   I am actively looking for brilliant students with a strong foundation and interest in programming languages, software engineering, and/or AI to join my research group, SAIL@UCF (Software Engineering and Artificial Intelligence Lab, webpage coming shortly). We are ranked #15 in Software Engineering on CSRankings (a metrics-based ranking of top CS institutions).

Feel free to reach out with a copy of your CV and background: aashish [dot] yadavally [at] ucf [dot] edu

Research Interests (TL;DR):   AI for Software Engineering, Software Security, Software Maintenance, Large Reasoning Models for Source Code

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

Sep 3, 2025 Joined CS@UCF as a tenure-track Assistant Professor. Looking forward to this new chapter in life!
Aug 4, 2025 After five years in TX, relocated to the beautiful Orlando, FL!
Jul 7, 2025 Successfully defended my Ph.D. and am officially Dr. Aashish Yadavally now!
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.

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