Research Projects

Current

Cross-vehicle domain adaptation and generalization for AI-based road surface classification

funded by Hyundai Motor Company (2026-2027)

• Domain-invariant feature learning from wheel-speed and IMU signals using adversarial domain alignment, supervised contrastive learning, and weight averaging for robust classification across unseen vehicle domains

• Few-shot adaptation and vehicle-metadata-based feature modulation for rapid transfer to new vehicle types, with knowledge distillation and in-vehicle validation for embedded deployment

Ducted ramjet rocket simulation technology development

funded by Agency for Defense Development (2025-2027)

• Advanced flight dynamic simulation software for ducted ramjet rocket systems

• Trajectory design, precision guidance, and performance evaluation for ducted ramjet rocket systems

Cooperative guidance for theatre missile defense systems

funded by Agency for Defense Development (2023-2027)

• Optimal cooperative guidance for team of interceptors

• Cooperative battle damage assessment and mission planning for team of interceptors

Past

Deep learning model for off-road vehicle state estimation

funded by Hyundai Motor Company (2025-2026)

• PINN-based deep learning model for estimating vehicle speed under wheel slip conditions

• State estimation of off-road vehicles via classical Kalman filering

Optimal control and actuator allocation for satellites with on-off thrusters

funded by SATREC Initiative (2024-2025)

• Exploring a variety of formulations for optimal thruster allocation problems

• Developing attitude controllers and mission planners

AI-based collision detection and avoidance algorithms for smart drones

funded by Moasoft (2023-2024)

• Detect and avoid algorithm based on deep learning and reinforcement learning

• Online trajectory design techniques based on artificial intelligence and optimization techniques

Dynamics modeling and washout algorithm design for a spherical motion simulator

funded by BAROTECH Synergy (2022-2023)

• Dynamics modeling of simulator motion and acceleration at the pilot's position

• Washout algorithm design for reproducing aircraft motion cues

Aircraft subsystem modeling and simulation for six-degree-of-freedom analysis

funded by Korea Aerospace Industries (KAI) (2021-2022)

• Modeling and stability analysis of aircraft structural vibrations and pilot-induced inputs

• Design and analysis of notch filters, LMS adaptive filters, and adaptive control methods for suppressing vibration-induced inputs

Flight-test data post-processing and aerodynamic database tuning

funded by Korea Aerospace Industries (KAI) (2021-2022)

• Development of aerodynamic database tuning software using flight-test system identification results

• Validation of tuned aerodynamic models through six-degree-of-freedom simulations and time-response comparisons

Flight-test-based dynamic model development for the KC-100 aircraft

funded by Korea Aerospace Research Institute (KARI) (2021)

• Parameter estimation and aerodynamic database tuning for KC-100 lateral-directional dynamics

• Validation of the lateral-directional model against flight-test data