Postdoctoral Research AssociateResearch & Implementation - El Paso
Texas A&M Transportation Institute
1111 RELLIS Parkway, Room 3448
Bryan, TX 77807-3135
- Ph.D., Civil Engineering, University of Wyoming, 2021
- M.S., Civil Engineering, University of Wyoming, 2018
- B.S., Civil Engineering, Bangladesh University of Engineering Technology, 2014
Dr. Anik Das is a Postdoctoral Research Associate in Research and Implementation Program at Texas A&M Transportation Institute (TTI). He earned Ph.D. in Civil Engineering from University of Wyoming (UW) in 2021 and received M.Sc. in Civil Engineering from UW in 2018. Prior to joining TTI, Dr. Das was a Postdoctoral Research Associate at UW. He is a registered Professional Engineer (PE) in Wyoming.
Dr. Das has over 8 years of experience in the field of transportation and traffic engineering with a focus on traffic safety and operations. His major areas of interest include Big Data analytics, statistical and machine learning modeling of traffic safety data, traffic operation analysis, naturalistic driving studies, human factors, traffic simulation, and cooperative automated systems. He has contributed to various research projects and delivered research and technical assistance to several clients including the U.S. Department of Transportation (USDOT) - the Federal Highway Administration (FHWA) and the Wyoming Department of Transportation (WYDOT). In TTI, Dr. Das is currently involved as a key researcher for several National Cooperative Highway Research Program (NCHRP) and Texas Department of Transportation (TxDOT) research projects.
Dr. Das is a recognized expert in naturalistic driving studies and has conducted numerous research on this topic. He has authored/co-authored more than 30 peer-reviewed research articles published in esteemed journals and presented in leading transportation engineering conferences. He received a number of awards including the ITE (Best Student of the Year, Executive Committee Leadership Award, and Graduate Student Award) and Lifesavers Traffic Safety Scholar, among others. He has been nominated to present his dissertation in Doctoral Student Research in Transportation Safety-Hybrid Session at the 99th TRB Annual Meeting in 2020.
Dr. Das is a Member of the TRB Standing Committee on Road Weather (AKR50) and Subcommittee on Artificial Intelligence Research. He is currently serving as a Panel Member of a Behavioral Traffic Safety Cooperative Research Program (BTSCRP) Project on Teen Driving Performance Associated with Distraction, ADHD, and Other Risk Factors (BTS-28). He is an active friend of several TRB committees, including Human Factors of Vehicles (ACH30), Safety Performance Analysis (ACS20), Artificial Intelligence and Advanced Computing Applications (AED50), and Traffic Simulation (ACP80).
The overreaching goal of his work is to improve the safety, mobility, and operations of roadways by proposing various practical and implementation strategies through his unique skills and extensive experience in Big Data analytics, statistical modeling, data mining, machine learning and artificial intelligence techniques, spatial analysis, and microsimulation modeling.
For more details, please visit: https://sites.google.com/site/dasanikbuet08/