Parth Padalkar View CV

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I am an Assistant Professor of Computer Science at Texas State University (Starting Fall 2026).

My work focuses on Neuro-Symbolic AI, interpretable machine learning, large language model reasoning, and explainable computer vision. A central theme of my research is combining the learning capabilities of neural networks with the transparency and reasoning power of symbolic systems.

During my doctoral work at The University of Texas at Dallas, I developed frameworks for extracting interpretable symbolic rules from deep learning systems, including convolutional neural networks and Vision Transformers. I also worked on improving reasoning abilities of LLMs using logic.

Alongside research, I care deeply about teaching and mentorship. I enjoy creating hands-on learning experiences, mentoring student researchers, and helping students build confidence in computer science and AI.

Outside research and teaching, I enjoy building educational projects, optimizing my finances, playing tennis, running and learning the piano.

I am looking for students who are passionate about my research directions to join my lab from Spring 2027. If you are interested please fill out this form.

news

May 28, 2026 Incoming Assistant Professor of Computer Science at Texas State University!
May 18, 2026 Graduated with a PhD in Computer Science from UT Dallas!
Apr 8, 2026 Successfully defended my PhD Dissertation “Creating Neurosymbolic Models for Interpretable Image Classification” !
Mar 9, 2026 Outstanding Graduate student Award by the School of Computer Science and Engineering at UT Dallas!
Feb 4, 2026 Invited talk at NeSy Wednesday organized by Centaur AI! (video link)
Sep 18, 2025 Paper on Interpretable neuro-symbolic Vision Transformers presented at ICLP 2025! [Paper]
Aug 28, 2025 Founded the Comets AI Research (CAIR) org at UT Dallas and started work as a Research Lead.
May 28, 2025 Started work as a Research Scientist Intern at IBM Research!
Oct 10, 2024 Paper on neuro-symbolic framework for targetted bias correction in CNNs presented at ICLP 2024! [Paper]
Feb 10, 2024 Paper on a neuro-symbolic CNN-based framework for interpretable image classification presented at AAAI 2024 (Oral)! [Paper] [Code]
Jan 15, 2024 Paper on extension of NeSyFOLD framework presented at PADL 2024! [Paper]