Biography and education
Dr. Subasish Das is an Assistant Professor of Civil Engineering Program in the Ingram School of Engineering at Texas State University. Previously, he worked as a full-time Associate Research Scientist at TTI during 2015 to 2022. He has more than 15 years of experience related to roadway safety, traffic operation, and connected and automated vehicle (CAV) technologies. He is a Systems Engineer by training with hands on experience on Six Sigma and Lean Engineering. His major areas of expertise include database management, statistical analysis and machine learning with emphasis in safety and transportation operations, spatial analysis with modern web GIS tools, interactive data visualization, and deep learning tools for CAV technologies. Dr. Das is a prolific author. He has published more than 220technical reports, and journal articles. He is the author of the book “Artificial Intelligence in Highway Safety,” which was published by CRC Press in 2022. The AASHTO Research Advisory Committee (RAC) awarded one of his research reports as 2014 AASHTO Sweet Sixteen High Value Research Project. Dr. Das is an active member of ITE, and ASCE. He is an Eno Fellow. He served as vice-president of membership of Young Professionals in Transportation Houston chapter. He is currently a member of three TRB Committees: Information and Knowledge Management (AJE45), Artificial Intelligence and Advanced Computing Applications (AED50), and Impairment in Transportation (ACS50).
Teaching Interests
Research Interests
Featured grants
- Das, Subasish (Principal). BTSCRP BTS-39: Toolkit for Reducing Substance-Impaired Driving for the Last Leg of the Journey, National Academies, Federal, $250000. (Submitted: 2025, Funded: October 1, 2025 - December 31, 2027). Grant.
- Das, Subasish (Principal). Social and Community Factors Contributing to Pedestrian Trespass Behaviors (and Motorist Incursions) on Railroad Systems, Federal Railroad Administration (FRA), Federal, $264000. (Funded: July 1, 2024 - July 30, 2025). Grant.
- Das, Subasish (Principal). NCHRP 17-113: Incorporating Safe System Approach into the NCHRP Report 500 Series, National Academies, Federal, $700000. (Submitted: January 1, 2023, Funded: February 1, 2024 - January 31, 2026). Grant.
- Das, Subasish (Principal). 0-7144: Develop a Real-Time Decision Support Tool for Urban Roadway Safety Improvement, TxDOT, State, $465010. (Submitted: January 2022, Funded: January 2023 - December 2024). Grant.
- Wang, Feng (Principal), Jimenez, Jesus (Co-Principal), Luo, Xiaohua (Co-Principal), Das, Subasish (Supporting), Hong, Feng (Supporting). Administration of the Dwight David Eisenhower Transportation Fellowship Program (DDETFP) Local Competition at Texas State University, Federal Highway Administration, Federal, $25500. (Funded: December 2022 - August 31, 2023). Grant.

Featured scholarly/creative works
- Somvanshi, S., Javed, S. A., Islam, M. M., Pandit, D., & Das, S. (2024). A survey on Kolmogorov-Arnold Network. ACM Computing Survey.
- Khan, M. N., & Das, S. (2024). Advancing Traffic Safety through the Safe System Approach: A Systematic Review. Accident Analysis & Prevention.
- Faroughi, S. A., Pawar, N. M., Fernandes, C., Das, S., Kalantari, N., & Mahjour, K. (2022). Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing. Arxiv. https://doi.org/https://doi.org/10.48550/arXiv.2211.07377
- Liu, J., Antariksa, G., Somvanshi, S., & Das, S. (2025). Revealing equity gaps in pedestrian crash data through explainable artificial intelligence clustering. Transportation Research Part D: Transport and Environment.
- Antariksa, G., Tamakloe, R., Liu, J., & Das, S. (2025). Automated and Explainable Artificial Intelligence to Enhance Prediction of Pedestrian Injury Severity. IEEE Transactions on Intelligent Transportation Systems.
Featured awards
- Award / Honor Recipient: Presidential Distinction Award for Excellence in Scholarly/Creative Activities (CoSE), TXST CoSE. 2025
- Award / Honor Nominee: Presidential Award for Excellence in Scholarly/Creative Activities. 2025
- Award / Honor Recipient: 2024 Research Millionaire Award, TXST. January 2024 - December 2024
- Award / Honor Recipient: Young Researcher Award, Texas A&M Transportation Institute. 2017
- Award / Honor Recipient: Best of Urban Street Symposium Award, Urban Street Symposium. 2017

Featured service activities
- Member
Member, FY23 Research Committee
- Member
Member, FY23 Personnel Committee
- Member
Member, FY23 Undergraduate Scholarship Committee
- Other
ASCE Faculty Advisor
- Member
Information and Knowledge Management (AJE45), Transportation Research Board (TRB)
- Member
Artificial Intelligence and Advanced Computing Applications (AED50), Transportation Research Board (TRB)