Pengfei Li

I am Pengfei Li, a final-year CS Ph.D. candidate in University of California, Riverside, under the supervision of Prof. Shaolei Ren. Since the summer of 2022, I has been working closely with Adam Wierman at Caltech, focusing on trustworthy learning augmented online optimization. My overarching research goal is to develop trustworthy, equitable and sustainable machine learning systems that enhance the efficiency of real-world systems and address critical societal and environmental challenges.

In the summer 2023, I am fortunate to intern at Nokia Bell Labs mentored by Dr Matthew Andrews, focusing on leveraging diverse IoT sensors to aid autonomous ware-house operations with enhanced dynamic photorealistic digital twins. I obtained a M.S.E degree in Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, under the supervision of Prof. Alan Yuille and Prof. Gregory Hager. Prior to joining JHU, I graduated from Zhejiang University with honors, majoring in Electrical Engineering. I was also a member of Advanced Class of Engineering Education (ACEE) in Chu Kochen Honor College (CKC).