Keshu Wu
Postdoctoral Research Associate at Texas A&M
My study aims 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 to ensure safe interaction and cooperation with other agents, road infrastructures, and humans, while effectively coordinating with intelligent agents and systems.
To achieve this, I utilize digital twin technology to create virtual models of real-world systems, enabling real-time monitoring, optimization, and simulation.
Furthermore, generative AI enhances these systems by facilitating the simulation of scenarios and agent behaviors, enabling the prediction of complex interactions and adaptation to dynamic uncertainties.
This development lay a strong 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, machine learning, computational optimization, generative AI, and digital twin technologies.
