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Zubayer Islam

Zubayer Islam

Research Assistant Professor

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BIOGRAPHY

Zubayer Islam specializes in transportation engineering and smart cities. He is serving as a principal investigator and co-principal investigator in multiple funded projects relating to computer vision, artificial intelligence and data analytics. With a background spanning civil engineering (Ph.D.), computer science (M.S.), and electrical and electronic engineering (B.S.), Islam brings a diverse skill set to his work. His research primarily focuses on transportation safety and mobility, where he applies advanced technologies like machine learning and artificial intelligence coupled with data fusion and sensing.  Islam’s expertise is reflected in his impressive publication record, with over 30 peer-reviewed articles in prestigious journals, IEEE Transactions on Intelligent Transportation Systems, Analytic Methods in Accident Research, and Transportation Research Part C.

EDUCATION

  • Ph.D. in Civil Engineering, University of Central Florida, 2021
  • M.S. in Computer Science Engineering, University of Central Florida, 2020
  • B.Sc. in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, 2017

RESEARCH

  • Artificial Intelligence
  • Big Data Analytics
  • Sensor Fusion

PUBLICATIONS

  • Islam, Z., & Abdel-Aty, M. (2025). Crash event detection using acoustic conformer. Transportation Research Part C: Emerging Technologies, 179, 105275.
  • Iqra, S. A., Abdel-Aty, M., & Islam, Z. (2025). Systematic Framework for Classification and Prediction of Post-Crash Delay in Freeways. Transportation Research Record, 03611981251348461.
  • Joo, Y. J., Abdel-Aty, M., Anik, B. T. H., & Islam, Z. (2025). Evaluating the Effect of Signal Adjustment on Rear-End Conflicts Using High-Resolution Event-Based Data. IEEE Transactions on Intelligent Transportation Systems.
  • Anik, B. T. H., Abdel-Aty, M., & Islam, Z. (2025). Can we realize seamless traffic safety at smart intersections by predicting and preventing impending crashes?. Accident Analysis & Prevention, 211, 107908.
  • Abdelrahman, A. S., Islam, Z., & Abdel-Aty, M. (2025). VRUCrossSafe for crossing intention prediction of vulnerable road users for improving safe crossing at intersections. npj Sustainable Mobility and Transport, 2(1), 1-15.
  • Kim, Y., Abdel-Aty, M., Choi, K., Islam, Z., Wang, D., & Zhai, S. (2025). Pedestrian Crossing Direction Prediction at Intersections for Pedestrian Safety. IEEE Open Journal of Intelligent Transportation Systems.
  • Ahsan, M. J., Abdel-Aty, M., Anik, B. T. H., & Islam, Z. (2025). An ensemble time-embedded transformer model for traffic conflict prediction at RRFB pedestrian crossings. Transportation Engineering, 20, 100318.

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