Keshu Wu

Postdoctoral Research Associate at Texas A&M

I received a Ph.D. degree in Civil and Environmental Engineering from the University of Wisconsin-Madison in 2024. I also hold an M.S. degree in Computer Sciences from the University of Wisconsin-Madison in 2022 and an M.S. degree in Civil and Environmental Engineering from Carnegie Mellon University in 2018. I received a B.S. degree in Civil Engineering from Southeast University in Nanjing, China in 2017.

The ultimate objective of my study is to develop interactive, trustworthy intelligent systems comprised of autonomous agents, capable of understanding and making rational decisions in the physical environment. These agents are designed for safe interaction and cooperation with other agents, road infrastructures, and humans, and for effective coordination with intelligent agents and systems. This development is expected to positively contribute to daily human activities and to improve the operations of the transportation system.

To realize this ambition, I am dedicating myself to interdisciplinary research, integrating insights and methodologies from diverse fields such as transportation engineering, deep learning, reinforcement learning, optimization, and digital twin.

Research Interests

AI and ML integration and innovation in CAV and ITS

Interaction-aware and multi-modal motion prediction

Relational reasoning and interaction-aware decision-making and motion planning

Spatial-temporal data modeling and missing data reconstruction

Transportation network analysis, state estimation and forecasting

Simulation and digital twin for connected and automated driving

C-V2X communication infrastructure development and application