Tin (Kevin) Nguyen

🎓 I am a PhD student in Computer Science at Auburn University, working with Prof. Anh Totti Nguyen and Prof. Chirag Agarwal at UVA. I work on Explainable AI, and Human-AI Interaction. I am particularly interested in improving human-AI workflows, and measuring frontier AI performance.

I'm looking for postdoc, internship, and full-time opportunities around LLMs, VLMs, Agents 👀 Please email me if you think I'd be a good fit: ngthanhtinqn@gmail.com or ttn0011@auburn.edu 🤗

Publications my favorites () | others ()

PageGuide paper figure 2 PageGuide paper figure 1
Agent Human-Computer Interaction
Tin Nguyen, Thang T. Truong, Runtao Zhou, Trung Bui, Chirag Agarwal, Anh Totti Nguyen
Arxiv, 2026
PageGuide is a browser extension that acts as an in-page navigation agent: given a user's question, it locates the supporting evidence on the current webpage (DOM or non-DOM elements) and highlights exactly where the answer comes from, instead of leaving the user to skim the whole page.
HoT paper figure 1 HoT paper figure 2
Prompt Engineering Human-Computer Interaction
Tin Nguyen*, Logan Bolton*, Mohammad Reza Taesiri, Trung Bui, and Anh Totti Nguyen
TMLR, 2026
Also accepted at NeurIPS 2025 Workshop Multimodal Algorithmic Reasoning (MAR) — Oral
Highlighted Chain of Thought (HoT) outputs XML-style evidence tags in each reasoning step, linking conclusions to specific input spans so users can trace why an answer is produced.
PEEB paper figure
Interpretable-by-Design Human-Computer Interaction
Thang Pham*, Peijie Chen*, Tin Nguyen*, Seunghyun Yoon, Trung Bui, Anh Nguyen
NAACL, 2024
PEEB is a part-based, interpretable-by-design image classifier that predicts an object's class by first describing its visible parts in natural language (e.g., wing color, beak shape) and matching those descriptions against a text-conditioned part detector. As a result, users can inspect exactly which part attributes drove a prediction and edit the class descriptions to correct or adapt the model without retraining.
VizDoom navigation figure
Vision-Language-Action
Thanh Tin Nguyen*, Anh H. Vo*, Soo-Mi Choi, Yong-Guk Kim
Knowledge-based Systems (KBS), Jul 4, 2023
This work studies vision-and-language navigation in 3D environments built on VizDoom, where an agent must follow a natural-language instruction to reach a target location.
Maijunxian Wang, Ruisi Wang, Juyi Lin, Ran Ji, Thaddäus Wiedemer, Qingying Gao, Dezhi Luo, Yaoyao Qian, Lianyu Huang, Zelong Hong, Jiahui Ge, Qianli Ma, Hang He, Yifan Zhou, Lingzi Guo, Lantao Mei, Jiachen Li, Hanwen Xing, Tianqi Zhao, Fengyuan Yu, Weihang Xiao, Yizheng Jiao, Jianheng Hou, Danyang Zhang, Pengcheng Xu, Boyang Zhong, Zehong Zhao, Gaoyun Fang, John Kitaoka, Yile Xu, Hua Xu, Kenton Blacutt, Tin Nguyen, Siyuan Song, Haoran Sun, Shaoyue Wen, Linyang He, Runming Wang, Yanzhi Wang, Mengyue Yang, Ziqiao Ma, Raphaël Millière, Freda Shi, Nuno Vasconcelos, Daniel Khashabi, Alan Yuille, Yilun Du, Ziming Liu, Bo Li, Dahua Lin, Ziwei Liu, Vikash Kumar, Yijiang Li, Lei Yang, Zhongang Cai, Hokin Deng
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ICML, 2026
I contributed two tasks evaluating object counting and physical reasoning capabilities of video-language models.
Yong-Guk Kim, Soo-Mi Choi, Anh H. Vo, Tin Nguyen
Korean Patent No. 10-2979119 — Registered Jun 2026
Thanh Tin Nguyen, Marvin John Ignacio, Hulin Jin, Yong-Guk Kim
IEEE Access, 2024
Long H. Nguyen, Nhat Truong Pham, Liu Tai Nguyen, Thanh Tin Nguyen, Hai Nguyen, Ngoc Duy Nguyen, Thanh Thi Nguyen, Sy Dzung Nguyen, Asim Bhatti, Chee Peng Lim
Expert Systems with Applications, 2023

Teaching

Mentoring

Academic Service

Education

Auburn University
Ph.D. in Computer Science and Engineering
AL, U.S. · Aug. 2022 – present
Research: Explainable AI and Human-AI Interaction
Teaching Assistant: Formal Languages, Machine Learning, Secure Software Process
Sejong University
M.Sc. in Computer Science and Engineering
Seoul, S. Korea · 2020 – 2022
Advisor: Kim Yong-Guk
Research: Robot Navigation
University of Science
B.A. in Computer Science and Engineering
Ho Chi Minh, Vietnam · 2015 – 2019
Advisor: Ngoc Quoc Ly
Research: Computer Vision and Robotics

Work Experience

Aikyam Lab, University of Virginia
Graduate Research Assistant
Advisor: Chirag Agarwal · Project: Multimodal Agentic Models + Trustworthy AI
AIOZ Co., Ltd.
AI Engineer
Built a license plate recognition system and a ball tracking system
Gumi Co., Ltd.
AI Engineer Intern
Built Japanese character recognition for bills and documents

Honors & Awards

Tinker Research Grant
Tinker · Awarded $5,000 for compute/API credits
GSC Travel Fellowship
Auburn University Graduate School Council · Awarded $400 to support conference travel
Tinker Promotion
Tinker · Awarded $150 in credits
1st Prize, AICovidVN Challenge
Ho Chi Minh, Vietnam · Introduced Fruit-CoV, a framework detecting SARS-CoV-2 through cough sounds (~$4,300 prize)

Skills

Programming Languages
Python JavaScript HTML/CSS C/C++ R
AI & ML
LLMs VLMs AI Agents Agentic RAG
Frameworks & Libraries
PyTorch TensorFlow vLLM LangChain LangGraph Tinker
Database & Platforms
Supabase
Elsewhere Online