About

I am a transportation engineering researcher with international academic training and hands-on project experience. My undergraduate journey at Beijing Jiaotong University and Delft University of Technology, advised by Prof. Yonglei Jiang and Prof. Irene Martinez, provided a strong foundation in transportation systems, network modeling, and data-driven analysis. My undergraduate thesis focused on leveraging network topology to predict trip distance distributions (ToD) across China and the Netherlands.

I have led and contributed to projects at the intersection of graph neural networks, intelligent transportation systems, and human-centered mobility, including:

Driver fatigue detection via EEG-based deep learning with adaptive test-time learning, submitted to IEEE T-ITS, collaborated with the Nanyang Technological University.
Freight train image recognition at UC Irvine, improving night-time detection accuracy with GIS signal integration.
AI-based robotics navigation and path planning at Cambridge University.

My experience extends beyond academia. At the Western China Internet of Vehicles and China Merchants Smart City Institute, I worked on vehicle–road–cloud integration, white papers, and large scale urban mobility demonstrations which strengthened my ability to bridge research with practice.

Currently, I am pursuing my MS in Civil & Environmental Engineering at UCLA, advised by Prof. Youngseo Kim. My research focuses on solving design and operational challenges in complex, interconnected transportation and logistics systems, with a special emphasis on human behavior and decision making.

Education

University of California, Los Angeles (UCLA) — M.S. in Civil & Environmental Engineering (Transportation), 2025– (advised by Prof. Youngseo Kim)
Beijing Jiaotong University (BJTU) — B.Eng. in Traffic & Transportation, GPA 3.77/4.0 (WES 3.84)
Delft University of Technology (TU Delft) — Visiting research under Prof. Irene Martínez
University of California, Irvine (UCI) — Exchange program, GPA 4.0/4.0
The Hong Kong Polytechnic University (PolyU) — Exchange student, GPA 4.0/4.0

Research

Network Topology & Travel Behavior Modeling — Predicting trip distance distributions and OD patterns via network embeddings.
EEG‑based Driver State Detection — Adaptive test‑time learning for fatigue recognition (IEEE T‑ITS submission).
AI‑based Path Planning — Robotics navigation and behavioral decision systems.

Experience

Cloud Control Technology Intern, Western China Internet of Vehicles — Chongqing Intelligent Networked NEV Demonstration Zone project.
Vehicle‑Road Coordination R&D Intern, China Merchants Chongqing — Project plans, white papers, and smart city integration.

Awards

Best Diplomatic Presence Award — 2023 Model APEC
Beijing Municipal Second Prize — Internet+ Innovation & Entrepreneurship
First Prize — 21st Century Cup National English Speaking Competition (Top 5% at BJTU)

Contact

For collaboration or questions, feel free to reach out via email or LinkedIn. Full CV available here.