Research

Currently, we are working on several research projects in collaboration with our partners at Princeton University, University of Houston, Florida State University, University of Iowa, University of Dayton and Air Force Research Lab 

Optimal Control

In this project, we are developing adjoint-based algorithms to identify optimal swimming gaits for fish-like underwater robots.   

• An, X., Floryan, D., & Rowley, C. W. (2022). Optimization of Swimming Gaits. In AIAA SCITECH 2022 Forum (p. 0329).

• An, X., Floryan, D., & Rowley, C. W. (2021). Optimal Gaits of Fish-like Swimming. In AIAA Scitech 2021 Forum (p. 1083).

Data-Driving Modeling

In this project, we are developing data-driving modeling techniques to identify low-order models for dynamic systems involving complex unsteady fluid flows. We aim to identify data-driving models with performance guarantees by including physics constraints.

•  An, X., Williams, D. R., Eldredge, J. D., & Colonius, T. (2021). Lift coefficient estimation for a rapidly pitching airfoil. Experiments in Fluids, 62, 1-12.

• An, X., Williams, D. R., & Hemati, M. S. (2020). A hybrid model for lift response to dynamic actuation on a stalled airfoil. Energies, 13(4), 855.

• An, X., Williams, D. R., Eldredge, J., & Colonius, T. (2016). Modeling dynamic lift response to actuation. In 54th AIAA Aerospace Sciences Meeting (p. 0058).

• Williams, D. R., An, X., Iliev, S., King, R., & Reißner, F. (2015). Dynamic hysteresis control of lift on a pitching wing. Experiments in Fluids, 56, 1-12.

Innovative Design Concepts Development

In this project, we aim to develop new concepts to enhance the performance of applications in fluids.

• An, X., Nguyen, A., Tuna, B., Kumar, R., & Buchholz, J. (2024). Drag Reduction with a slipping surface. In AIAA SCITECH 2024 Forum (p. 0892).