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Our primary interest lies in developing effective mathematical models and AI-driven numerical procedures for a wide range of physical and mechanical problems. In particular, we focus on applying artificial intelligence to numerical methods in structural dynamics, vibrations, system identification, control, and navigation. We are also actively exploring AI-enabled digital twin technologies to advance predictive modeling and real-time system management.
Our research has been concentrated in the following areas:
Structural dynamics and vibrations
Structural dynamics for various systems (aircrafts, ships, offshore structures and wind turbines)
Vibraions and Modal analysis
Strain filed estimation using virtual sensors
System Identification and PHM
Parameter estimation using tracking filters and deep learning
Prognostics & Health Management (Fault detection, diagnosis and prognosis)
Digital twins with AI-driven surrogate models
Navigation Systems
High-precision relative navigation system with multi-sensor fusion(Radar, lidar, imaging sensors)
AI-based auto-tuning algorithms for adaptive radar parameter optimization
Projects
Ongoing
한국연구재단(NRF), 탄소제로 미래비행체 기술개발 (중점연구소), Apr. 2023 – Dec. 2031.
한국항공대학교, 항공기의 구조적 안전성을 위한 구조 건전성 모니터링 기술개발, Apr. 2023 – Mar. 2025.
Completed
(주)에이브노틱스, 레이더 자동 파라미터 튜닝 알고리즘 개발, Aug. 2024 – Jan. 2025.
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