Lab

Introduction

Intelligent Transportation System

Sustainable Transportation and Intelligent Mobility Lab (STIM Lab) is committed to developing AI-driven solutions to construct energy-efficient, eco-friendly, and intelligent transportation systems. By using big data and generative AI, we are able to tackle the challenges inherent in modern, complex, and rapidly evolving transportation systems. Our overarching goal is to bridge the gap between research and practice by transforming innovative ideas into scalable, deployable solutions. We work closely with partners in academia, industry, and public agencies to shape the future of sustainable and intelligent transportation networks.

Current Students

Yihong Ning

Waiting to upload🫡

Xiwen Hao

Waiting to upload🫡

Manlin Gong

Manlin Gong is a Second-year Ph.D. student in Civil Engineering at University of South Carolina. She holds an M.S. in Transportation Engineering from South China University of Technology. She is interested in statistical analysis, machine learning, and transportation network modeling.

Ning Ding

Hi, I'm Ning Ding, and you can also call me Bruce. I received both my bachelor's and master's degrees from Hunan University, during which I also participated in exchange programs at UC Berkeley and McGill University. My research interests focus on applying large language models (LLMs) to address the complex challenges facing modern transportation systems. Outside of academics, I enjoy playing badminton and fishing. If you're interested in my work or would like to connect—feel free to reach out! 🫡

Alumni

Xuanke Wu

Waiting to upload🫡

Ruixiao Sun

Waiting to upload🫡

Lab Event

Spring Festival

This photo was taken during the 2025 Spring Festival at Prof. Chen's home, where we celebrated the New Year together. The New Year's Eve dinner, crafted by our Michelin-star chefs—Prof. Chen and Prof. Hu—was truly unforgettable 🍾!