Eunhan Ka

Portrait of Eunhan Ka

Eunhan Ka

Postdoctoral Researcher · Purdue University

I develop physics-informed and data-driven methods to model, estimate, and secure traffic dynamics across large-scale transportation networks.

My research program builds toward resilient and trustworthy mobility systems that remain reliable under disruption, adversarial manipulation, and uncertainty.

CV

I am a postdoctoral researcher in the Lyles School of Civil and Construction Engineering at Purdue University, where I completed my Ph.D. under Dr. Satish V. Ukkusuri. My dissertation, Physics-Informed Neural Networks for Secure Connected and Autonomous Traffic Modeling, works at the intersection of traffic flow theory, machine learning, and behavioral modeling.

I study how transportation networks behave under disruption and adversarial manipulation (with emphasis on network resilience, transportation cybersecurity, and large-scale state estimation) and how reliable estimation and decision support can be maintained under uncertainty.

Education

  • Ph.D. Lyles School of Civil and Construction Engineering, Purdue University Dec 2025

    Dissertation: Physics-Informed Neural Networks for Secure Connected and Autonomous Traffic Modeling

  • M.S. Department of Civil and Environmental Engineering, Seoul National University Feb 2018
  • B.S. Department of Civil and Environmental Engineering, Seoul National University Feb 2016

Research

Four focus areas, built on a shared foundation in network traffic dynamics.

hover or tap a focus area

News

  • May 2026 Our paper MIRAGE, on detecting fake emergency electronic brake light attacks in V2X networks, is accepted to appear at the USENIX VehicleSec ‘26 (4th USENIX Symposium on Vehicle Security and Privacy) in Baltimore.
  • Jan 2026 New article in Transportmetrica B: Transport Dynamics on the resilience of traffic networks to route guidance attacks and the role of driver behavior heterogeneity.
  • Jan 2026 Started as a Postdoctoral Researcher in the Lyles School of Civil and Construction Engineering at Purdue University.
  • Dec 2025 Completed my Ph.D. in the Lyles School of Civil and Construction Engineering at Purdue University. Dissertation: Physics-Informed Neural Networks for Secure Connected and Autonomous Traffic Modeling.
  • Dec 2025 Our review, Cybersecurity for Next-Generation Road Transportation, is published in the ACM Journal on Autonomous Transportation Systems.
  • Nov 2025 New article in Transportation Research Part F on route guidance attacks in cyber transportation networks and behavioral sensitivity.
  • Jun 2025 Received the 2025 ITE Great Lakes District Student Paper Award.