Dr. Zemian Ke earned his PhD in the Department of Civil and Environmental Engineering at Carnegie Mellon University. He received his Bachelor's and Master's degrees in the School of Transportation at Southeast University in 2017 and 2020. His research applied reinforcement learning to traffic control and aimed to improve transportation systems through machine learning technologies.
He is now a machine learning software engineer at Google.
Research interests
Traffic control, congestion pricing, machine learning.