Yang Zhao is a PhD student in the Department of Civil and Systems Engineering (CaSE) and the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. He is a recipient of the Amazon AI PhD Fellowship. His research focuses on developing human–LLM copilots for decision-making, with emphasis on enhancing the trustworthiness and interpretability of LLMs, strengthening domain-specific reasoning capabilities, and improving the efficiency and reliability of decision support systems.
As robot taxi increasingly share roads with human drivers, creating human-like driving agents has emerged as a promising approach for seamless integration into mixed-autonomy environments. Achieving effective vehicle human interaction […]
Transportation planning plays a vital role in developing efficient and sustainable transportation systems to meet the evolving needs of communities. As technology advances, the field of transportation planning could benefit […]
Trustworthy LLM for traffic forecasting, advances explainable deep and generative models that fuse multimodal sensing with traffic theory to forecast congestion and freight bottlenecks in real time, laying the groundwork […]