About Me

I am a research assistant professor at University of Tennessee at Chattanooga, trying to combine machine learning and computer vision with connected and automated technology to build safe, green, and smart mobility applications. My dissertation topic is to develop a non-conventional video detection and validation method for high-resolution trajectory collection using computer vision and 3D Point Clouds.

Traffic Detection and Sensing

Applying computer vision, LiDAR, and drone-based sensing to collect high-resolution data for research and innovations.

Figure 1. High-resolution High Angle Vehicle Trajectory Detection (Blue: Faulty NGSIM Trajectory; Red: Our Reconstructed NGSIM Trajectory)

Figure 2. Roadside LiDAR Vehicle Detection

Robotics with Mobility Applications

Connected and Automated Vehicle and Highway, Smart Mobility and Operational Design, and Wireless Communications & IoT.

Figure 3. 511 Advanced Traveler Information System

Arterial Management and Operations

Automated Traffic Signal Performance Measures (ATSPMs) and Traffic Flow Theory. Scientific machine learning for traffic modeling, control and prediction.