- Ahmad, N., Khattak, A. J., & Bozdogan, H. (2024). Understanding the role of driver behaviors and performance in safety-critical events: Application of machine learning. Journal of Transportation Safety & Security, 1-40 (IF = 2.4)
- Ahmad, N., Wali, B., & Khattak, A. J. (2023). Heterogeneous ensemble learning for enhanced crash forecasts–A frequentist and machine learning based stacking framework. Journal of Safety Research, 84, 418-434. (IF = 4.264)
- Muslim, Hamad Bin, Fawaz Kaseer, Syed W. Haider, Lev Khazanovich, and Ethan Akerly, ” Longitudinal joint quality assurance: Threshold for dielectric-based index vs. PWL”. Paper under review for publication in the International Journal of Pavement Research and Technology.
- Ahmad, N., Khattak, A., Bozdogon, H. Predicting Safety-Critical Events Using Driver Behavior and Performance: Application of Artificial Intelligence. Presented at the 102nd Annual Meeting of Transportation Research Board by National Academies of Sciences, Engineering, and Medicine, Washington, D.C., 2023.
- Ahmad, N., Wali, B., Khattak, A.J. Heterogeneously Ensemble Learning for Enhanced Crash Forecasts – A Statistical and Machine Learning based Stacking Framework. Presented at the 101st Annual Meeting of Transportation Research Board by National Academies of Sciences, Engineering, and Medicine, Washington, D.C., 2022.
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