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I am a Senior Transportation Engineer at AtkinsRéalis, based in the Austin office. I earned my Ph.D. in Civil Engineering from the University of Wyoming in 2021, focusing my thesis on the application of Big Data Analytics and Machine Learning to develop trajectory-level event detection systems and analyze driver behavior. Prior to this, I obtained my M.Sc. in Civil Engineering from the same institution in 2018, and I completed my B.Sc. in Civil Engineering at the Bangladesh University of Engineering and Technology (BUET), Dhaka, in 2014.

My research primarily aims to enhance roadway safety, mobility, and operational efficiency by leveraging advanced statistical and artificial intelligence techniques. Among my contributions is the development of several weather detection models, including a novel machine learning algorithm called "RoadweatherNet," which can detect real-time weather and road surface conditions at the trajectory level. These methods are cost-effective, require minimal technical support, and utilize a single video camera mounted on the dashboard of a moving vehicle.

With over eight years of research experience in transportation engineering, I specialize in roadway safety, design and operation, naturalistic driving, driver behavior, big data analytics, neural networks, data mining, machine learning, and Intelligent Transportation Systems (ITS). I have conducted numerous research projects and provided technical assistance to various clients, including the U.S. Departments of Transportation, the Federal Highway Administration, and the Wyoming Department of Transportation.

I have published several peer-reviewed articles in reputable journals such as Accident Analysis and Prevention, Journal of Intelligent Transportation Systems, Journal of Transportation Safety and Security, and Transportation Research Record. Additionally, I serve as an active reviewer for multiple transportation engineering journals, including Accident Analysis and Prevention, Transportation Research Record, Journal of Transportation Safety and Security, Case Studies on Transport Policy, and the International Journal of Transportation Science and Technology. I am also affiliated with several Transportation Research Board (TRB) committees, including those focused on Artificial Intelligence and Advanced Computing Applications (AED50), Road Weather (AKR50), Statistical Methods (AED60), and Winter Maintenance (AKR40).

I have presented my research at both lectern and poster sessions during several TRB Annual Meetings, a prestigious conference series in the field of transportation engineering. Notably, I had the honor of presenting three posters at the 100th TRB Annual Meeting in January 2021. I was selected to showcase my dissertation in the Doctoral Student Research in Transportation Safety Hybrid Session under TRB committees on Safety Data, Analysis, and Evaluation (ANB20) and Statistical Methods (ABJ80) at the 99th TRB Annual Meeting. Additionally, I was nominated to present my research in a Three-Minute Thesis Competition Workshop organized by the TRB Operations and Preservation Group of the Young Member Council at the same meeting. Beyond TRB, I have shared my work at other prestigious conferences in transportation engineering, including the Road Safety and Simulation Conference..