Summary
Pengfei Li is an Assistant Professor and researcher specializing in online optimization, machine learning, and reinforcement learning, with eight years of experience spanning academia and industry. He completed a Ph.D. in Computer Science at UC Riverside after earning an M.S.E. in Robotics from Johns Hopkins and a top-10% B.E. from Zhejiang University in Electrical Engineering and Automation. His work bridges rigorous theory and applied systems—recently including a visiting research stint at Caltech on responsible AI and online optimization and an industry internship at Nokia Bell Labs on robotics and 3D modeling. Known for mentoring and cross-disciplinary collaboration, he combines mathematical depth with hands-on implementation across simulation and real-world systems. Based in Riverside, CA, he is starting a faculty role at RIT where he will continue to translate research into deployable algorithms and responsible AI practices. An informal but telling detail: his trajectory moves steadily from robotics hardware to decision-making algorithms, signaling a practical focus on systems that learn and adapt in real time.
8 years of coding experience
Johns Hopkins University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Riverside
Bachelor's degree, Electrical Engineering & Automation, 3.86/4.0 (Ranks Top 10% ), Bachelor's degree, Electrical Engineering & Automation, 3.86/4.0 (Ranks Top 10% ) at 浙江大学