TEACHING

비행원리이론 (항공드론 혁신융합 사업 교과목, Fall Semester)

미분방정식 (Differential Equation, 2nd Year, Spring Semester)

전산응용제도 (Computer-Aided Design, 2nd Year, Spring Semester)

유체역학1 (Fluid Mechanics 1, 2nd Year, Fall Semester)

유체역학2 (Fluid Mechanics 2, 3rd Year, Spring Semester)

열전달 (Heat Transfer, 3rd Year, Fall Semester)

항공기성능 (Aircraft Performance, 4th Year, Spring Semester)

캡스톤디자인 1&2 (Capstone Design 1&2, 4th Year, Spring & Fall Semester)

VTOL 공기역학 (VTOL Aerodynamics, Fall Semester)

공력음향학 (Aeroacoustics, Spring Semester)

한국항공대학교 항공우주 및 기계공학부 2025년 캡스톤디자인
- 와류입자법을 활용한 로터 지면효과 및 상호작용 공력해석 (이교훈, 김세정, 진솔, 오승준)
- 한국형 닥터드론 기본설계 (이제현, 반경주, 조강원, 투굴두르 바타)
- 고정익 항공기 소음 예측 및 가청화 기반의 통합 소음 평가 기법 연구 (게렐수렝, 김민준, 나란야, 정성우)

2025년 12월 박사학위 심사
후류 조종면이 장착된 고정 기울임 로터 VTOL 비행체에 관한 연구 (A study for Fixed-Inclined Rotor VTOL UAV with Slipstream Control Device)
한국항공대학교 대학원 스마트항공모빌리티학과 김용래 (지도교수: 박상혁 교수님)

Acoustics, Aeroacoustics, & Psychoacoustics

Rotorcraft Aeromechanics

1. J. Gordon Leishman; Principles of Helicopter Aerodynamics (2nd Ed., 2016)

2. Wayne Johnson; Rotorcraft Aeromechanics (2013)

3. Inderjit Chopra and Anubhav Datta; Helicopter Dynamics (2011)

Aerodynamics & Unsteady Aerodynamics

1. Doug McLean; Understanding Aerodynamics: Arguing from the Real Physics (2012)

2. Joseph Katz and Allen Plotkin; Low-Speed Aerodynamics (2001)

3. Mark Drela; Flight Vehicle Aerodynamics (2014)

4. John D. Anderson; Fundamentals of Aerodynamics (7th Ed., 2023)

5. Dewey H. Hodges and G. Alvin Pierce; Introduction to Structural Dynamics and Aeroelasticity (2nd Ed., 2011)

Aircraft Design & Performance

1. Daniel P. Raymer; Aircraft Design: A Conceptual Approach (7th Ed., 2024)

2. Antonio Filippone; Advanced Aircraft Flight Performance (1st Ed., 2012)

3. Mohammad H. Sadraey; Aircraft Performance: An Engineering Approach (2nd Ed., 2023)

CFD & CAA

1. Christopher K. W. Tam; Computational Aeroacoustics: A Wave Number Approach (2012)

2. Culbert B. Laney; Computational Gasdynamics (1998)

3. Eleuterio F. Toro; Riemann Solvers and Numerical Methods for Fluid Dynamics: A Practical Introduction (2009)

4. Randall J. LeVeque; Finite Volume Methods for Hyperbolic Problems (2002)

Machine Learning, Signal Processing & Optimization 

1. Steven L. Brunton and J. Nathan Kutz; Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control (2nd Ed., 2022)

2. Julius S. Bendat and Allan G. Piersol; Random Data: Analysis and Measurement Procedures (4th Ed., 2010)

3. Joaquim R. R. A. Martins and Andrew Ning; Engineering Design Optimization (2022)

4. Jorge Nocedal and Stephen J. Wright; Numerical Optimization (2nd Ed., 2006)