Chaoying Pei

Dr. Chaoying Pei is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Missouri University of Science and Technology. Her work focuses on optimization, control systems, and machine learning applications in aerospace engineering. She holds a Ph.D. in Aeronautics and Astronautics from Purdue University, along with master’s and bachelor’s degrees in Inertial Technology and Navigation from Beihang University. She also brings industry experience in autonomous driving technology.

Her research interests include non-convex optimization, quadratically constrained quadratic programs (QCQPs), optimal control for space exploration, machine learning integration, and distributed computing. Notable projects involve real-time fuel-optimal guidance systems, reinforcement learning for optimization engines, and trajectory design for spacecraft entry.

Dr. Pei has contributed to over 20 publications since 2015, emphasizing algorithmic advancements in control systems, trajectory optimization, and autonomous systems. Her work often bridges theoretical optimization with practical aerospace applications, such as landing guidance and atmospheric entry systems. No scientific awards are explicitly listed, but her prolific research output highlights her technical contributions.

Her academic background includes diverse education in inertial technology and navigation, complemented by industry experience in autonomous driving. She has not listed advisees or grants in the provided text, but her research themes suggest involvement in collaborative projects involving distributed optimization and machine learning.