Chaoying Pei, pursuing her Ph.D. in Aeronautical and Astronautical Engineering at Purdue University, has a Master's in Inertial Technology and Navigation Instruments and a Bachelor's in Instrumentation and Optoelectronic Engineering from Beihang University, Beijing. Her research spans diverse areas like non-convex optimization, QCQPs, optimal control, space exploration technology, machine learning, and distributed computing. Additionally, Ms. Pei brings industry experience in autonomous driving technology to her academic pursuits.
My study enhances Cyber-Physical Systems (CPS) for Mars missions by developing Sequential Convex Programming (SCP) algorithms that optimize spacecraft Guidance, Navigation, and Control (GNC). Tackling the NP-hard challenge of trajectory accuracy, my research integrates innovative computing strategies, including parallel computing and machine learning, to improve system reliability and real-time control. Future directions of my study aim to expand these technologies to foster autonomous systems and quantum control, with a commitment to increasing female participation in STEM fields.