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Minh Pham-Dinh

Incoming PhD Student
University of Utah
(Starting Fall 2026)

mhpham26 (at) colby.edu


I am an incoming PhD student in Computer Science at the University of Utah, where I will conduct research in embodied intelligence under the supervision of Professor Kenneth Marino. My work focuses on how artificial can build structured, grounded world models to reason, plan, and interact effectively with humans in open-world environments.

My research lies at the intersection of robotics, reinforcement learning, and vision–language models, with an emphasis on semantic world representations, long-horizon reasoning, and human-aware decision making. I am particularly interested in explicit representations such as temporal knowledge graphs and semantic scene graphs for robust generalization and interpretability.

Previously, I conducted research at the Davis Institute for Artificial Intelligence under the guidance of Dr. Michael Yankoski and I completed my honors thesis at the INSITE Lab, advised by Professor Stacy Doore, studying semantic world modeling and vision-and-language navigation for assistive robotics.

News

Notable Publications

  1. EMNLP 2025
    Minh Pham Dinh, Michael G Yankoski, Munira Syed, Trenton W. Ford
    Findings of EMNLP 2025.

Contact

9511 Maflower HL
Waterville, ME 04901
Phone: 207-830-3901


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