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Kakan Dey

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Kakan Dey

Associate Professor

Department of Civil and Environmental Engineering, College of Engineering

428 S Shaw Ln East Lansing, Michigan, 48824

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Biography

Dr. Kakan Dey is an Associate Professor in the Department of Civil and Environmental Engineering. Dr. Dey’s research primarily focuses on emerging connected and automated mobility service modeling, intelligent transportation systems (ITS) data analytics, statistical and machine learning (ML) modeling, and traffic safety and operations. His research has been sponsored by federal, state, and regional agencies such as the National Science Foundation (NSF), US Department of Transportation (US DOT),

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Education

Ph.D., Civil Engineering (Transportation), Clemson University 2014

M.S., Civil Engineering (Transportation), Wayne State University 2010

B.S., Civil Engineering, Bangladesh University of Engineering & Technology 2005

Awards

2023, National Science Foundation (NSF) Early CAREER Award

2017, George N. Saridis Best Transactions Paper Award, IEEE Transactions on Intelligent Transportation Systems

2017, ASCE Excellence in Civil Engineering Education (ExCEEd) Fellowship

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Publications

Rahman, M. T., Dey, K., & Ashraf, M. T. (2024). Perceptions of vulnerable roadway users on autonomous vehicle regulations. Journal of safety research, Elsevier

Ashraf, M.T., Dey, K., & Mishra, S. (2023). Identification of High-Risk Roadway Segments for Wrong-Way Driving Crash Using Rare Event Modeling and Data Augmentation Techniques. Accident Analysis and Prevention, Elsevier

Rahman, M.T., Dey, K., Pyrialakou, V.D., & Das, S. (2023). Factors Influencing Safety Perceptions of Sharing Roadways with Autonomous Vehicles among Vulnerable Roadway Users. Journal of Safety Research, Elsevier

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Research and Grants

Roadside Feature Placement and Pedestrian Safety on Low and Intermediate Speed Roads, Minnesota DOT, PI, 2024-2026

User Understanding of Pedestrian Hybrid Beacon Operation, Minnesota DOT, PI, 2024-2026

CAREER: Transportation Network Maintenance under Climate Change, Resource Uncertainties, and Connectivity, National Science Foundation (NSF), PI, 2023-2028

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