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Jimin Choi is a Ph.D. candidate in Aerospace Engineering at the University of Michigan, where she is advised by Prof. Max Z. Li. Her research focuses on decision-making under uncertainty and optimization for autonomous aerospace systems. She received her M.S. and B.S. degrees in Aerospace Engineering from the Korea Advanced Institute of Science and Technology (KAIST), where she also completed a second major in Business Management as an undergraduate. Her broader research interests lie at the intersection of aerospace systems, artificial intelligence, and operations research, with an emphasis on enabling robust and scalable autonomy in uncertain environments.
Beyond academics, Jimin is passionate about the intersection of technology and business. She loves meeting new people, experiencing new things, and has a bucket list goal of seeing the Earth from space. In her free time, she enjoys singing, biking, and traveling.
Publications
Publications
Jimin Choi, Husni R. Idris, Huy T. Tran, Max Z. Li. Collaborative Decision-Making and Optimal Utilization of Pathfinding Flights during Convective Weather. https://arxiv.org/abs/2601.18942
Jimin Choi, Niket Parikh, Max Z. Li, Huy T. Tran. A Survey of Inverse Reinforcement Learning in Aviation and Future Outlooks. Journal of Aerospace Information Systems. Rupal Nigam, https://arc.aiaa.org/doi/full/10.2514/1.I011635
Jimin Choi, Kartikeya Anand, Husni R. Idris, Huy T. Tran, Max Z. Li. Pathfinders in the sky: Formal decision-making models for collaborative air traffic control in convective weather. In IEEE International Conference on Intelligent Transportation Systems (ITSC) 2025, Gold Coast, Australia. https://arxiv.org/abs/2505.01804
Rupal Nigam, Jimin Choi, Niket Parikh, Max Z. Li, Huy T. Tran. A Survey of Current Applications of Inverse Reinforcement Learning in Aviation and Future Outlooks. In AIAA SciTech Forum 2025, Orlando, USA. https://arc.aiaa.org/doi/abs/10.2514/6.2025-1540
Jimin Choi, Max Z. Li. Bayesian Ambiguity Contraction-based Adaptive Robust Markov Decision Processes for Adversarial Surveillance Missions. https://www.arxiv.org/abs/2512.01660
Jimin Choi, Max Z. Li. Autonomous Air-Ground Vehicle Operations Optimization in Hazardous Environments: A Multi-Armed Bandit Approach. https://arxiv.org/abs/2508.08217
Jimin Choi, Mengmeng Li, Max Z. Li. Adaptive Robust Markov Decision Process for Wide-Area Surveillance with Collaborative Combat Aircraft. In AIAA SciTech Forum 2026, Orlando, USA. https://arc.aiaa.org/doi/abs/10.2514/6.2026-2884
Jimin Choi, Grant Stagg, Cammy Peterson, Max Z. Li. Bi-Level Route Optimization and Path Planning with Hazard Exploration. In IEEE Conference on Decision and Control (CDC) 2025, Rio de Janeiro, Brazil. https://ieeexplore.ieee.org/document/11312588
Jimin Choi, Max Z. Li. Bandit-Enabled Dynamic Drone Dispatch and Routing in Hazardous Environments. In AIAA AVIATION Forum 2025, Las Vegas, USA https://arc.aiaa.org/doi/abs/10.2514/6.2025-3411Â
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