معرفی
Clarence Rowley is the Sin-I Cheng Professor in Engineering Science at Princeton University, affiliated with the Department of Mechanical and Aerospace Engineering and the Program in Applied and Computational Mathematics. His research bridges dynamical systems, control theory, and fluid mechanics, focusing on reduced-order modeling and feedback control of complex fluid systems.
- Develops data-driven models for fluid flows using simulation/experimental data
- Applications include cavity flows, tokamak plasmas, and aerospace dynamics
Research Interests center on:
- Model reduction for nonlinear systems
- Geometric methods in fluid mechanics
- Balanced truncation and Koopman operator theory
- Feedback control of unstable flows
- Optimal actuator/sensor placement
Teaching includes courses in control theory, dynamical systems, and computational methods, notably a cross-departmental Software Engineering for Scientific Computing course. His Publications (15 most recent) span control theory, fluid mechanics, and computational methods, with a focus on time-periodic flows (2022), nonlinear model reduction (2022), and DMD-based analysis (2014).
Scientific Awards include:
- NSF CAREER Award
- AFOSR Young Investigator Award
- Multiple teaching awards at Princeton University
Advising has produced 16 PhD graduates (2003-2022) including Steve Brunton (2012) and Sam Otto (2022), with current advisees in MAE and PACM. Labs & Teams include the Rowley Group at Princeton's Engineering Quadrangle, collaborating with AIAA Journal editorial board and Springer book series initiatives.
