Qianxin Gan (Tsi-EN-Hsi:n Gahn, Qiánxīn Gān), more often referred to as Carl Gan, recently graduated from Cornell University with a Master’s degree of Engineering in Electrical and Computer Engineering. Prior to this, he completed his undergraduate journey at the University of California, Berkeley with a Bachelor’s degree of Science in Electrical Engineering and Computer Sciences. His research interest lies mostly in traffic optimization and autonomous vehicles, with a focus on algorithms and machine learning.
[Photo © Jarvis Yuan]
In Carl’s graduate study, he dived into the expertise in machine learning, hardware design & profiling, computer vision, and natural language processing. His studies also encompassed urban technology impact and large-scale corporate environments. Additionally, he has honed strong negotiation and product management skills, making him adept at handling the business aspects of technology projects effectively. This blend of technical knowledge and business insight positions Carl as a versatile and forward-thinking professional, ready to tackle complex challenges in the tech industry.
During his undergraduate journey, he felt very fortunate to be affiliated with Berkeley Artificial Intelligence Research Lab and Berkeley Mobile Sensing Lab as an undergraduate research assistant, where he worked on traffic simulation development, optimization algorithm, and information theory, supervised by Prof. Alexandre M. Bayen and Ph.D. Alben Rome Bagabaldo.
He is also very proud to be a member of Robotics Open Autonomous Racing (ROAR), supervised by Prof. S. Shankar Sastry and Dr. Allen Y. Yang. His main contributions are towards developing perception algorithms for autonomous vehicles using CV, Radar, and LiDAR; designing and launching Autonomous GoKarts; developing autonomous driving simulators based on CARLA; Indy Autonomous Challenge (IAC) with AI Racing Tech (ART); and Reinforcement Learning algorithms.
While he is off from “work”, you may find him driving around passionately, photo/video shooting, playing badminton/tennis/ping-pong, playing the piano, discovering the hidden gems of restaurants, etc. He also plays as a Goalie in football (soccer if you’re North American).
Publications
- [Springer 2024] Impact of Navigation Apps on Congestion and Spread Dynamics on a Transportation Network. Alben Rome Bagabaldo, Qianxin Gan, Alexandre M. Bayen, Marta C. González. Data Science for Transportation.
- [TRB 2023] Creating, Calibrating, and Validating Large-Scale Microscopic Traffic Simulation. Theophile Cabannes, Alben Rome Bagabaldo, Junghwan Lee, Qianxin Gan, Ayush Jain, Alice Blondel, Alexandre M. Bayen. Presented at Transportation Research Board 102nd Annual Meeting.
- [ICTD 2023] Price of Information and the Spread of Congestion. Alben Rome Bagabaldo, Qianxin Gan, Marta Gonzalez, Alexandre M. Bayen. Podium at International Conference on Transportation and Development 2023.
- [ICTD 2023] Large-scale Simulation-based Approach to Understand Selfishness in Routing. Alben Rome Bagabaldo, Qianxin Gan, Junghwan Lee, Marta Gonzalez, Alexandre M. Bayen. Presented at International Conference on Transportation and Development 2023.
Qianxin(Carl) Gan 