Xiao Tan

Xiao Tan is a Postdoctoral Scholar Research Associate in Mechanical and Civil Engineering at the California Institute of Technology (Caltech), affiliated with the Division of Engineering and Applied Science. Their research focuses on control systems, cybersecurity in control systems, distributed optimization, robotics, aerospace engineering, and safety-critical systems.

Key research interests include developing secure control strategies under sensor attacks, designing safety filters for flight control systems, and advancing distributed optimization algorithms for multi-agent systems. Xiao Tan has also explored control barrier functions for safety verification in interconnected systems and human-in-the-loop planning for precision agriculture robotics.

Recent publications emphasize computational efficiency in safe control, violation-free distributed optimization, and the application of control theory to aerospace and robotics challenges. Their work bridges theoretical control design with practical implementations in cyber-physical systems.

Xiao Tan’s contributions span algorithm development, safety verification, and the integration of human interaction with automated systems. Current research trends highlight a focus on robustness, real-time implementation, and interdisciplinary applications of control systems in safety-critical domains.