Eunhan Ka

Eunhan Ka is a Ph.D. student in the Lyles School of Civil Engineering at Purdue University, where he works in the Urban Mobility Networks and Intelligence Lab under Professor Satish V. Ukkusuri's guidance. After earning his B.S. and M.S. degrees in Civil & Environmental Engineering from Seoul National University, he has established himself as an emerging expert in transportation engineering and network modeling. His research focuses on developing pioneering frameworks for enhancing resilience in Connected and Autonomous Vehicles network traffic dynamics, with particular emphasis on cybersecurity in transportation systems. As part of Purdue's national University Transportation Center team, he contributes to critical research on transportation cyber-physical-social systems, working to identify and address emerging cybersecurity threats in smart transportation infrastructure. His scholarly work spans across network modeling, machine learning, deep learning, and transportation engineering, with notable publications on physics-informed machine learning for urban networks and network-level traffic impact assessment. Through his involvement in groundbreaking projects, including the development of generalized bathtub models for large-scale urban networks and dynamic routing games for connected vehicles, he continues to advance the field of transportation engineering while addressing critical challenges in mobility system stability and security.