Krishna Murthy Gurumurthy is a Computational Transportation Engineer in the Transportation Systems and Modeling Group at the Argonne National Laboratory. He received his doctorate for his extensive work on shared autonomous vehicle forecasts, and holds two masters – in civil engineering and statistics – all from UT Austin. He earned his bachelor’s in civil engineering from the National Institute of Technology Karnataka, India.

His research focuses on travel demand modeling & forecasting, especially through the utilization of large-scale agent-based simulation tools. He is particularly interested in capturing the impacts of shared and automated vehicles (S/AVs) on travel patterns and congestion and measuring the resulting effects of various policies.

Murthy, as he’s often called, is an Eno Fellow from the 2019 class, actively participates in events organized by transportation organizations like ITE, ITS and WTS, and has previously served in leadership roles in their respective student chapters at UT. In addition to several scholarships, he is also the recipient of the ​‘Outstanding Student’ award by Texas ITE. In his free time, he enjoys playing basketball and racquetball, and is interested in photography.