Intro
Minkyu Choi is an Artificial Intelligence (AI) research scientist and engineer with over five years of experience across various industries. Currently pursuing a Ph.D. at the University of Texas at Austin under Dr. Sandeep Chinchali‘s supervision. His research interests include Deep Reinforcement Learning, Neuro-Symbolic AI, Video Understanding, and Computer Vision Assurance. He possesses expertise in Data Engineering, Cloud and Edge Computing, DevSecOps, and MLOps, and has worked in commercial and government sectors on machine learning and deep learning projects.
News
2024 July: Thrilled to announce that my paper “Towards Neuro-Symbolic Video Understanding” has been accepted to European Conference on Computer Vision (ECCV) 2024!
2024 June: Excited to announce that our paper has been accepted for publication in the Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) as both an oral pitch and an interactive presentation.
2023 April: Delighted to reveal that I have accepted a PhD program offer from the University of Texas at Austin!
2023 March: Ecstatic to announce that I have been honored with the prestigious fellowship from the Cockrell School of Engineering at The University of Texas at Austin.
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2022 June: Delighted to share that I successfully presented our research paper at the esteemed ICUAS conference.
2021 May: Proudly announcing my recent achievement of obtaining a Master of Science degree in Analytics from the prestigious Georgia Tech.
2021 April: Thrilled to join Lockheed Martin’s Artificial Intelligence Center as a research engineer, where I’ll be contributing to pioneering AI research and innovation alongside a team of esteemed professionals.
Educaction
University of Texas at Austin
A Ph.D. Student in Artificial Intelligence (Fall 2023)
Georgia Institute of Technology
MS in Analytics
Baruch College
BBA in Computer Information System
Professional
Lockheed Martin (AI Innovation team @Artificial Intelligence Center)
Artificial Intelligence Research Engineer
The Joint Artifical Intelligence Center (Now: Chief Digital and Artificial Intelligence Office)
Artificial Intelligence Engineer
Techfield LLC
Subject Matter Expert in Big Data and Data Science
Endpoint Clinical
Data Engineer
Argus Information and Advisory Services
Data Analyst
Publication
Choi, Minkyu, Harsh Goel, Mohammad Omama, Yunhao Yang, Sahil Shah, and Sandeep Chinchali. “Towards Neuro-Symbolic Video Understanding.” In Proceedings of the European Conference on Computer Vision (ECCV), September 2024 – Accepted for oral presentation!
Walker, Thayne T., Jaime S. Ide, Minkyu Choi, Michael Guarino, and Kevin Alcedo. “Multi-Agent Reinforcement Learning with Epistemic Priors.” In 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), pp. 2514-2518. IEEE, 2023.
Choi, Minkyu, Max Filter, Kevin Alcedo, Thayne T. Walker, David Rosenbluth, and Jaime S. Ide. “Soft actor-critic with inhibitory networks for retraining UAV controllers faster.” In 2022 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1561-1570. IEEE, 2022.
Preprint
Minkyu Choi*, Sharan, S. P*.,Sahil Shah, Harsh Goel, Mohammad Omama, and Sandeep Chinchali. “Neuro-Symbolic Evaluation of Text-to-Video Models Using Formal Verification.” arXiv preprint arXiv:2411.16718 (2024).
Salfity, Jonathan, Selma Wanna, Minkyu Choi, and Mitch Pryor. “Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasks.” arXiv preprint arXiv:2403.17238 (2024).
