


Collaborative multi-faceted explorations of complex aeronautical challenges
The Center for Unsteady Aerodynamics is a leading hub for research and innovation, dedicated to solving the most complex challenges in modern fluid dynamics. Our work is driven by the need to understand and mitigate the effects of high-level unsteadiness imposed by extreme weather, complex flight environments, and evolving energy demands. We seek foundational knowledge and applied solutions that advance the fields of aviation, hydrodynamics, energy, and bio-inspired systems. Our interdisciplinary approach seamlessly integrates theoretical, computational, experimental, and data-driven methods. This synergy allows us to tackle problems of unprecedented complexity with both scientific rigor and practical efficiency. The Center has a track record of successful domestic and international collaborations with academic, government, and industry partners. We are committed to fostering an environment where fundamental scientific inquiry leads directly to impactful, real-world solutions to produce the next generation of scientists and scientific advancements.
Ph.D. 2024, M.Eng. 2019, Illinois Inst of Tech
M.S. 2019, B.S. 2017, Univ Politécnica de Madrid
Reduced-order modeling, turbulence
Ph.D. 2021, ISAE-Supaero
M.S. 2018, Politecnico di Milano B.S. 2015, Politecnico di Torino
Modal analysis, flow transition, flow separation
B.S. 2025, UCLA
Vortex dynamics, wing tip vortices, swept/delta wings, wind tunnel and water channel testing
B.S. 2025, UCLA
Flow separation, boundary layers, wind tunnel testing
M.S. 2020, B.S. 2018, Sogang University
Phase-reduction analysis of fluid flows
M.S. 2023, Johns Hopkins University
B.S. 2020, Harbin Institute of Technology
Deep reinforcement learning, flow control, reduced order modeling, CFD
B.S. 2024, UCLA
Optimization, flight dynamics modeling, uncertainty quantification
M.S. 2018, B.S. 2016, Amirkabir University of Technology
Data assimilation, CFD, machine learning, reduced-order modeling
B.Eng. 2022, University of Tokyo
CFD, extreme aerodynamics, data-driven modeling and analysis
B.S. 2026, UCLA
CFD, subsonic flow, vortex analysis and control, turbulence dynamics
B.S. 2025, Macalester College
CFD, stability and modal analysis, applied mathematics
B.S. 2026, UCLA
CFD, machine learning, controls, robotics
B.S. 2023, UCLA
Dynamical systems and control theory, machine learning, CFD, applied mathematics
B.S. 2026, UCLA
CFD, machine learning
M.S. 2020, B.S. 2017, Huazhong University of Science and Technology
CFD, modal analysis, machine learning