Faculty Profile for Dr. Subasish Das

profile photo for Dr. Subasish Das
Dr. Subasish Das
Assistant Professor — Ingram School of Engineering
RFM RFM 5202
phone: (512) 245-1826
Scholarly/Creative Work
Awards
Grants
Service

Biography Section

Biography and Education

 Dr. Subasish Das is an Assistant Professor of Civil Engineering Program in the Ingram School of Engineering at Texas State University. He is also involved with Texas A&M Transportation Institute (TTI) as a part time Associate Research Scientist. Previously, he worked as a full-time Associate Research Scientist at TTI during 2015 to 2022. He has more than 13 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 160 technical 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

 Transportation Safety
Highway Engineering
Traffic Engineering
Transportation Planning
Infrastructure Resilience
Artificial Intelligence in Transportation
Machine Learning
Statistical Inference
Statistical Computing

Research Interests

 Smart infrastructure
Connected and Automated Vehicles
Foundation Models
Artificial Intelligence (AI) and Causal AI
Traffic Safety and Operations
Natural Language Processing
Advanced Language Models
Digital Twin
GIS
Systems Engineering

Selected Scholarly/Creative Work

  • 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., Das, S., & Khan, M. (2024). Decoding the impacts of contributory factors and addressing social disparities in crash frequency analysis. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2023.107375
  • Hossain, M., Zhou, H., Sun, X., Hossain, A., & Das, S. (2024). Crashes involving distracted pedestrians: Identifying risk factors and their relationships to pedestrian severity levels and distraction modes. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2023.107359
  • Brauer, M., Roth, G. A., & Das, S. (2024). Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet.
  • Das, S., Jafari, M., Hossain, A., Chakraborty, R., & Mimi, M. S. (2024). Toll road crash severity using mixed logit model incorporating heterogeneous mean structures. Transportmetrica A Transport Science.

Selected Awards

  • Award / Honor Recipient: Best of Urban Street Symposium Award, Urban Street Symposium. 2017
  • Award / Honor Recipient: Young Researcher Award, Texas A&M Transportation Institute. 2017
  • Award / Honor Recipient: Eno Fellowship, The Eno Center for Transportation. 2015
  • Award / Honor Recipient: Gulf Region ITS (GRITS) Scholarship, Gulf Region ITS (GRITS). 2015

Selected Grants

  • Das, Subasish (Principal), Faroughi, Salah Aldin (Co-Principal). TxDOT 0-7144: Develop a Real-Time Decision Support Tool for Urban Roadway Safety Improvement, TxDOT, State, $359018.5. (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.
  • Das, Subasish (Principal), Faroughi, Salah A (Co-Principal). TxDOT 0-7131: Leveraging Artificial Intelligence (AI) Techniques to Detect, Forecast, and Manage Freeway Congestion, TxDOT, State, $84700. (Submitted: July 2022, Funded: September 2022 - August 2023). Grant.
  • Das, Subasish (Principal). 0-7215: Predicting Field Performance of Pavement Markings Statewide in Texas, TxDOT, State, $85178.75. (Funded: September 1, 2024 - August 31, 2028). Grant.
  • Das, Subasish (Principal). 0-7230: Improve Safety and Decrease Vehicle Fatalities by Improving Pavement Markings, TxDOT, State, $74292.5. (Funded: September 1, 2024 - August 31, 2027). Grant.

Selected Service Activities

Member
Member, FY23 Research Committee
2022-Present
Member
Member, FY23 Personnel Committee
2022-Present
Member
Member, FY23 Undergraduate Scholarship Committee
2022-Present
Other
ASCE Faculty Advisor
2022-Present
Member
Information and Knowledge Management (AJE45), Transportation Research Board (TRB)
2022-Present