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Ghavami, S., & Naseri, H. (2026). Advanced Machine Learning Techniques for Predicting Compaction and Strength Characteristics of Cement Kiln Dust-Stabilized Soils. Transportation Infrastructure Geotechnology, 13(4), 84 (23 pages). Lien externe
Ghavami, S., Naseri, H., & Safi Jahanshahi, F. (2026). Advanced Machine Learning Techniques for Predicting the California Bearing Ratio of Soils Stabilized with Cement Kiln Dust. International Journal of Pavement Research and Technology, 15 pages. Lien externe
Naseri, H., Laviolette, J., Waygood, O., & Manaugh, K. (2026). Unveiling barriers and motivations to cycling across different stages of change. Transportation Research Part F Traffic Psychology and Behaviour, 119, 103572 (20 pages). Lien externe
Naseri, H., Waygood, O., Wang, B., Daziano, R. A., & Feinberg, M. (2026). Role of GHG information presentation in shaping EV preferences: machine learning approach. Transportation Research Part D Transport and Environment, 155, 105329 (20 pages). Lien externe
Safi Jahanshahi, F., Reza Ghanizadeh, A., Naseri, H., & Mouldi, A. (2026). Interpretable AI Models Based on Hybrid Ensemble Learning Methods for Predicting Unconfined Compressive Strength of Cement-Stabilized Magnetite Iron Ore Tailing. AI, 7(2), 37 (27 pages). Lien externe
Waygood, O., Naseri, H., Laviolette, J., & Wang, B. (2026). Analyzing the opinions of Canadians on the impacts of electric vehicles. International Journal of Sustainable Transportation, 21 pages. Accès restreint
