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Dr. Subasish Das

  • Assistant Professor - Ingram School of Engineering
Portrait of Dr. Subasish Das

Biography and education

Dr. Subasish Das is an Assistant Professor in the Civil Engineering Program at the Ingram School of Engineering, Texas State University. A systems engineer by training, his work advances roadway safety, traffic operations, and connected and automated vehicle (CAV) systems through data‑intensive methods. His expertise spans database engineering; statistical analysis and machine learning for safety and operations; spatial analytics with modern web GIS; interactive data visualization; and deep learning for CAV applications. He also brings hands‑on experience with Six Sigma and Lean engineering.
Prior to joining Texas State, Dr. Das served as an Associate Research Scientist at the Texas A&M Transportation Institute (2015–2022). He has authored more than 380 publications, including technical reports and journal articles, and is the author of two books: Artificial Intelligence in Highway Safety (CRC Press, 2022) and Urban Human MobilityPractices, Analytics, and Strategies for Smart Cities (CRC Press, 2025). His research received the AASHTO Research Advisory Committee “Sweet Sixteen” High‑Value Research recognition (2014). His other awards include: Eno Fellowship (2015), TTI Young Researcher Award (2017), TXST Research Millionaire Award (2024), and TXST CoSE Presidential Distinction Award for Excellence in Scholarly/Creative Activities (2025). Since 2015, Dr. Das has led research portfolios exceeding $7.42 million as PI/Co‑PI; since arriving at Texas State University in 2022, he has secured approximately $4.61 million, including five National Academies projects as principal investigator. He is an Eno Fellow and an active member of the Institute of Transportation Engineers (ITE) and the American Society of Civil Engineers (ASCE). He currently serves on the Transportation Research Board’s Committee on Integrated Transportation Safety Management (ACD11), previously served on AJE45, AED50, and ACS50, and chairs the User Liaison Subcommittee of ITE’s Data‑Driven Safety Analysis group. He is editor/handling editor of several journals including Transportation Research Record, Journal of Transportation Safety & Security, and Plos One.

Teaching Interests

Research Interests

  • 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.
View all grants
  • 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.
View all scholarly/creative works
  • 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
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  1. Member

    Member, FY23 Research Committee

  2. Member

    Member, FY23 Personnel Committee

  3. Member

    Member, FY23 Undergraduate Scholarship Committee

  4. Other

    ASCE Faculty Advisor

  5. Member

    Information and Knowledge Management (AJE45), Transportation Research Board (TRB)

  6. Member

    Artificial Intelligence and Advanced Computing Applications (AED50), Transportation Research Board (TRB)

  7. View all activities