Hello! I am an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the Missouri University of Science and Technology (Missouri S&T, sites.mst.edu/chaoyingpei). I received my Ph.D. in Aeronautics and Astronautics Engineering from Purdue University, advised by Dr. Ran Dai in the Automation and Optimization Laboratory. Before that, I earned my bachelor’s and master’s degrees from Beihang University and worked as an engineer at Baidu Inc., focusing on autonomous driving technologies.

Researching the Skies and Beyond

My research lies at the intersection of optimization, control, and machine learning within Aeronautics and Astronautics Engineering. I am particularly interested in optimal control, distributed optimization and mean-field control, and learning-based decision-making for complex aerospace systems. These topics are motivated by the growing need for autonomous, efficient, and robust operations in large-scale systems such as UAV swarms, satellite constellations, and planetary rovers. By integrating theoretical optimization frameworks with data-driven techniques, my research aims to achieve scalable autonomy under uncertainty and limited communication.

I am also passionate about developing new methodologies that connect fundamental theory with practical implementation. My ongoing projects include multi-agent coordination under communication constraints, optimization over probability measures, and adaptive learning for decision-making in dynamic environments. Through this work, I hope to advance the capabilities of aerospace systems to operate intelligently and collaboratively in both terrestrial and space applications. Please contact me via email at cpk4t@mst.edu.