Assistant Professor
Texas State University
San Antonio, TX, United States
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).
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A Probabilistic Graphical Approach to Understand Fatal Crashes Caused by Speeding
Sunday, June 16, 2024
1:15 PM - 2:30 PM ET
Analyzing Frontage Roadway Crashes through the Lens of Probabilistic Graphical Models
Sunday, June 16, 2024
1:15 PM - 2:30 PM ET
Emergency on Wheels: Investigating Ambulance-Related Special Cases
Sunday, June 16, 2024
1:15 PM - 2:30 PM ET
Sketch Planning Level Shared Use Path User Volume Estimation using Machine Learning
Sunday, June 16, 2024
1:15 PM - 2:30 PM ET
Understanding Causative Factors in E-Scooter Collisions through Bayesian Network Modeling
Sunday, June 16, 2024
1:15 PM - 2:30 PM ET
15MinuteCity: Unveiling Urban Emotions in Real Time through Social Media Insights
Sunday, June 16, 2024
3:00 PM - 4:15 PM ET
Mapping Communication Patterns of Transit Agencies on Social Media
Sunday, June 16, 2024
3:00 PM - 4:15 PM ET
Is ChatGPT a Reliable Source of Transportation Equity Information for Scientific Writing?
Monday, June 17, 2024
1:30 PM - 2:45 PM ET
Public Sentiment Analysis on Automated Delivery Vehicles Using Media Representations
Monday, June 17, 2024
1:30 PM - 2:45 PM ET