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You are here: Home / People / Anik Das, Ph.D., PE

Anik Das, Ph.D., PE

Anik Das, Ph.D., PE

Postdoctoral Research Associate

Research & Implementation - El Paso
Texas A&M Transportation Institute
1111 RELLIS Parkway, Room 3448
Bryan, TX 77807-3135
A-Das@tti.tamu.edu

Education

  • 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

Short Biography

Dr. Anik Das, P.E. is a Postdoctoral Research Associate at Texas A&M Transportation Institute (TTI). He earned Ph.D. in Civil Engineering from University of Wyoming in 2021 and received M.Sc. in Civil Engineering from the same university in 2018. He is a registered Professional Engineer (PE) in Wyoming. His background, academic research, and experiences are in the field of transportation engineering with a focus on traffic safety, traffic operations, naturalistic driving studies, human factors, big data analytics, statistical and machine learning modeling of traffic safety data, and connected and automated vehicles. Dr. Das has more than 6 years of research experience, contributed to various research projects, and delivered 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). 

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. Dr. Das is a member of the TRB Standing Committee on Road Weather (AKR50). 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).

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