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.
The integration of generative AI enhances these agents with the ability to simulate diverse scenarios and anticipate complex interactions, enabling robust adaptability to dynamic and uncertain environments.
Meanwhile, digital twin technology provides a data-driven virtual replica of real-world systems, enabling real-time monitoring, simulation, and optimization of agent behaviors and their interactions with the transportation ecosystem.
This development provides a robust foundation for safer, more efficient transportation systems that positively impact daily human activities.
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, generative AI, and digital twin.
