Jayden Dongwoo Lee
Postdoctoral Researcher, AITA InnoCORE, Department of Aerospace Engineering, KAIST
N27 Building, Room 4117
KAIST, 291 Daehak-ro, Yuseong-gu
Daejeon 34141, Republic of Korea
cinco125@gmail.com
I am a postdoctoral researcher in the AITA InnoCORE program at the Department of Aerospace Engineering, KAIST. I received my Ph.D. from KAIST under Prof. Hyochoong Bang, and my dissertation received the KAIST College of Engineering Outstanding Ph.D. Dissertation Award (2026).
I work on guidance, navigation, and control (GNC) for aerial vehicles, with a focus on keeping them safe when the model is wrong, a component fails, or GNSS is unavailable. My research has three parts:
- AI-based guidance and control: learning vehicle dynamics with Gaussian processes, SINDy, and reinforcement learning, and building adaptive and predictive controllers on top of them.
- Fault diagnosis and fault-tolerant control: detecting and isolating actuator and sensor faults in multirotors, eVTOL, and UAM, and reconfiguring the controller in flight.
- GNSS-denied navigation: factor graph optimization with quantum magnetometers and magnetic-anomaly maps for navigation without satellite signals.
I validate these methods on hardware, including custom flight control computers, hardware-in-the-loop simulation, and flight tests on multirotor, eVTOL, and fixed-wing platforms. I received my B.S. from UNIST and my M.S. and Ph.D. from KAIST, and during graduate school I also worked as an AI research engineer at Hanyoung Nux (2021–2024).
I have published 23 SCI(E) journal articles (including accepted papers), filed 4 patent applications, and received 10 paper awards. See the research and publications pages. Feel free to reach out.
Research Highlights
Data-driven modeling and fault detection with an actuator fault injected in flight.
Thrust reallocation across eight motors after an inner-motor failure. Also: outer-motor failure.
QP-based control allocation validated on a coaxial dodecacopter test jig.
Model predictive control on a dynamics model identified from flight data.
GNC algorithm and hardware integration on a full-scale hoverbike, with auto-landing flight tests.
News
| Oct 08, 2026 | Our paper on LiDAR-intensity-based point cloud registration for on-orbit proximity operations has been accepted to the Journal of Aerospace Information Systems. |
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| Sep 25, 2026 | Our paper on reinforcement-learning-based error-gated σ-modification adaptive control for missile autopilots has been accepted to the International Journal of Control, Automation, and Systems (IJCAS). |
| Sep 07, 2026 | Our paper Data-Driven Fault Detection and Diagnosis for eVTOL Systems Using SINDy is now available in IEEE Transactions on Aerospace and Electronic Systems (Early Access). |
| May 20, 2026 | Presented Factor Graph Optimization-Based Magnetic Navigation Using a Quantum Magnetometer at the IPNT 2026 conference in Seoul. |
| Apr 20, 2026 | Gave an oral presentation at ION Pacific PNT 2026 in Honolulu on federated EKF-based quantum-magnetometer navigation (more). |




