Summary
Shih-chi Liao is a Ph.D. candidate in ECE at the University of Michigan specializing in dynamical systems, control, and optimization with eight years of research and engineering experience across robotics and autonomous systems. His work blends model-based and model-free nonlinear stability analysis with safety-critical control design, including published advances in robust Control Barrier Functions and quadratic-constraint stability analysis for fluid flow reduced-order models. He formulates practical, convex optimization-based solutions (e.g., SOCP) to enable real-time safety certification and has demonstrated them on vehicle lateral control under uncertainty. Experienced as a graduate instructor and industry systems engineer, he bridges theoretical tools and hands-on implementation in MATLAB/Simulink, ROS, and embedded platforms. Ongoing projects combine robust control theory with data-driven methods to certify boundedness and reliability of complex dynamical models.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Michigan
Bachelor of Science - BS Bio-Industrial Mechatronics Engineering, Bachelor of Science - BS Bio-Industrial Mechatronics Engineering at National Taiwan University
Chinese, English