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Dammak, B., Ciari, F., Jaoua, A. M., & Naseri, H. (2023, July). Investigating of machine learning's capability in enhancing traffic simulation models [Paper]. World Conference on Transport Research (WCTR 2023), Montréal, Québec. Published in Transportation Research Procedia, 82. Available
Dong, Y., Sun, Y., Wang, D., Waygood, O., Naseri, H., & Jiang, Y. (2023, December). How daily mobility and public transport use affect travel satisfaction : evidence from Hangzhou, China [Paper]. 27th International Conference of Hong Kong Society for Transportation Studies: Transport and Equity (HKSTS 2023), Hong Kong. Unavailable
Dong, Y., Waygood, O., Wang, B., Huang, P., & Naseri, H. (2022, June). Insight into the nonlinear effect of Covid-19 on well-being in China: Commuting, a vital ingredient [Abstract]. 7th International Conference on Transport and Health (ICTH 2022) (1 page). Published in Journal of Transport & Health, 25, Supple. External link
Dong, Y., Sun, Y., Waygood, O., Wang, B., Huang, P., & Naseri, H. (2022). Insight into the nonlinear effect of COVID-19 on well-being in China: Commuting, a vital ingredient. Journal of Transport & Health, 27, 101526 (15 pages). External link
Ehsani, M., Ostovari, M., Mansouri, S., Naseri, H., Jahanbakhsh, H., & Nejad, F. M. (2024). Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection. Construction and Building Materials, 417, 17-17. External link
Ghavami, S., Alipour, Z., Naseri, H., Jahanbakhsh, H., & Karimi, M. M. (2023). A New Ensemble Prediction Method for Reclaimed Asphalt Pavement (RAP) Mixtures Containing Different Constituents. Buildings, 13(7), 30 pages. Available
Habibi, O., Youssef, T., Naseri, H., & Ibrahim, K. (2024). Ensemble Learning Models for Prediction of Punching Shear Strength in RC Slab-Column Connections. Civil Engineering Journal, 10, 1-20. External link
Jahanbakhsh, H., Moghadas Nejad, F., Khodaii, A., Karimi, M. M., & Naseri, H. (2024). Sustainable Induction-Heatable Cold Patching Using Microwave and Reclaimed Asphalt Pavement. Journal of Materials in Civil Engineering, 36(3), 22 pages. External link
Naseri, H., Waygood, O., & Patterson, Z. (2025). Household transportation lifecycle greenhouse gas emission prediction. Transportation Research Part D Transport and Environment, 141, 104660 (23 pages). External link
Naseri, H., Waygood, O., Patterson, Z., & Wang, B. (2024). Who is more likely to buy electric vehicles? Transport Policy, 155, 15-28. Available
Naseri, H., Aliakbari, A., Javadian, M. A., Aliakbari, A., & Waygood, O. (2024). A novel technique for multi-objective sustainable decisions for pavement maintenance and rehabilitation. Case Studies in Construction Materials, 20, 03037 (17 pages). External link
Naseri, H., Waygood, O., Patterson, Z., Alousi-Jones, M., & Wang, B. (2024). Travel mode choice prediction: developing new techniques to prioritize variables and interpret black-box machine learning techniques. Transportation Planning and Technology, 2411611. External link
Naseri, H., Waygood, O., Patterson, Z., & Wang, B. (2024). Which variables influence electric vehicle adoption? Transportation, 38 pages. External link
Naseri, H. (2023). Optimizing Machine Learning Techniques to Better Understand Sustainability in Transportation Planning [Ph.D. thesis, Polytechnique Montréal]. Available
Naseri, H., Waygood, O., Wang, B., & Patterson, Z. (2023). Interpretable Machine Learning Approach to Predicting Electric Vehicle Buying Decisions. Transportation Research Record, 14 pages. External link
Naseri, H., Shokoohi, M., Jahanbakhsh, H., Karimi, M. M., & Waygood, O. (2023). Novel Soft-Computing Approach to Better Predict Flexible Pavement Roughness. Transportation Research Record, 2677(10), 246-259. External link
Naseri, H., Waygood, O., Wang, B., & Patterson, Z. (2022). Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters. International Journal of Environmental Research and Public Health, 19(24), 16844 (19 pages). External link
Naseri, H., Jahanbakhsh, H., Foomajd, A., Galustanian, N., Karimi, M. M., & Waygood, O. (2022). A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying Whale Optimization Algorithm and random forest regression. International Journal of Pavement Engineering, 13 pages. External link
Naseri, H., Hosseini, P., Jahanbakhsh, H., Hosseini, P., & Gandomi, A. H. (2022). A novel evolutionary learning to prepare sustainable concrete mixtures with supplementary cementitious materials. Environment Development and Sustainability, 25(7), 5831-5865. External link
Naseri, H., Waygood, O., Wang, B., Patterson, Z., & Daziano, R. A. (2022). A Novel Feature Selection Technique to Better Predict Climate Change Stage of Change. Sustainability, 14(1), 23 pages. External link
Sun, Y., Dong, Y., Wang, D., Waygood, O., Naseri, H., & Nishii, K. (2023). Correlation between travel experiences and post-COVID outbound tourism intention: a case study from China. Journal of Zhejiang University-SCIENCE A, 14 pages. External link
Sun, Y., Dong, Y., Waygood, O., Naseri, H., Jiang, Y., & Chen, Y. (2022). Machine-learning approaches to identify travel modes using smartphone-assisted survey and map application programming interface. Transportation Research Record, 2677(2), 385-400. External link
Wang, B., Waygood, O., Ji, X., Naseri, H., Loiselle, A. L., Daziano, R. A., Patterson, Z., & Feinberg, M. (2023). How to effectively communicate about greenhouse gas emissions with different populations. Environmental Science & Policy, 147, 29-43. External link
