Bldg. 13, Rm. 233
1 Grand Avenue
San Luis Obispo, CA 93401
I am an associate professor in the Mechanical Engineering Department at California Polytechnic State University.
My research revolves around nonlinear dynamics, focusing on periodic motions, bifurcations, and chaos, with applications in mechanical vibrations, control systems, and robotics. My recent interests center on developing interpretable and scalable representations for high-dimensional nonlinear dynamics. I explore structured neural representations for discovering governing equations and modeling complex dynamical behavior, with the goal of connecting mathematical interpretability with computational efficiency. At Cal Poly, I also lead a student team working on the design and control of agile legged robots.
I am currently looking for students interested in controls, robotics, and scientific machine learning. If you are interested in learning more about my research, feel free to contact me at sixing@calpoly.edu.
Selected publications
- Data-driven discovery of high-dimensional dynamical systems with sparse interpretable neural networksPRX Intelligence, vol. 1, no. 1, Art. 013024 (2026).Featured on the official APS X account
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