Dr. Mohammad Ali Sahraei is currently an Assistant Professor in the Department of Civil Engineering at the University of Buraimi (UOB), Oman. Prior to this position, Dr. Sahraei was an Assistant Professor at Girne American University (GAU), Cyprus, and has also worked as a postdoctoral researcher at Erzurum Technical University (ETU), Turkey. He holds both a Master's and Ph.D. in Civil Engineering from Universiti Teknologi Malaysia (UTM), specializing in Transportation and Traffic. Dr. Sahraei's research interests include traffic modeling & simulation, traffic safety, and Intelligent Transportation Systems (ITS). With a strong foundation in transportation engineering and expertise in machine learning, data analysis, and sustainability, he has developed predictive models in field of traffic engineering, energy consumption, and CO2 emissions. Throughout his career, Dr. Sahraei has collaborated with multidisciplinary teams, governmental agencies, and the private sector to drive practical and impactful research.

• Traffic and Transportation Modeling & Simulation
• Traffic Safety
• Intelligent Transportation Systems (ITS)
• Data Analysis
• Machine Learning
• Sustainable Urban Mobility

• Qingyao Qiao, Hamidreza Eskandari, Hassan Saadatmand, Mohammad Ali Sahraei “An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector”, Journal of Energy, 2023, 286, https://doi.org/10.1016/j.energy.2023.129499
• Mohammad Ali Sahraei, Babak Ziaei “Impact of COVID-19 forced confinement on traffic congestion, CO2 emissions, and NO2 concentration throughout EU nations and the United Kingdom (UK)”, International Journal of Environmental Science and Technology
• Mohammad Ali Sahraei, "Comparative Investigation of the Critical Gap at Priority Junctions: A Review Paper" Future Transportation, 2023, 3, no. 2: 479-497. https://doi.org/10.3390/futuretransp3020028
• Faridmehr, Iman, Mohammad Ali Sahraei, Moncef L. Nehdi, and Kiyanets A. Valerievich. "Optimization of Fly Ash—Slag One-Part Geopolymers with Improved Properties" Materials, 2023, 16, no. 6: 2348. https://doi.org/10.3390/ma16062348
• Mohammad Ali Sahraei, Merve Kayaci Çodur “Prediction of transportation energy demand by novel hybrid meta-heuristic ANN”, Journal of Energy, 2022, https://doi.org/10.1016/j.energy.2022.123735
• Emre Kuşkapan, Mohammad Ali Sahraei, Muhammed Yasin Çodur, “Pedestrian safety at signalized intersections: spatial and machine learning approaches”, Journal of Transport & Health, 2022, https://doi.org/10.1016/j.jth.2021.101322
• Mohammad Ali Sahraei, Merve Kayaci Çodur, Muhammed Yasin Çodur, Ahmet Tortum “forecasting the Accident Frequency and Risk Factors: A Case Study of Erzurum, Turkey”, Tehnički vjesnik, 2022, https://doi.org/10.17559/TV-20200620164552
• Mohammad Ali Sahraei, Emre Kuşkapan, Muhammed Yasin Çodur, “public transit usage and air quality index during the covid-19 lockdown”, Journal of Environmental Management, 2021, https://doi.org/10.1016/j.jenvman.2021.112166
• Mohammad Ali Sahraei, Hakan Duman, Muhammed Yasin Çodur, Ecevit Eyduran “prediction of transportation energy demand: multivariate adaptive regression splines”, Journal of Energy, 2021, https://doi.org/10.1016/j.energy.2021.120090
• Mohammad Ali Sahraei, Emre Kuşkapan, Muhammed Yasin Çodur, “impact of COVID-19 on the public transit usage and ambient air quality in Turkey”, Promet-Traffic&Transportation, 2021, https://doi.org/10.7307/ptt.v33i2.3704
• Mohammad Ali Sahraei, Emre Kuşkapan, Muhammed Yasin Çodur, “an overview of traffic accident prediction models”, Nobel Bilimsel Eserler, 2021, ISBN: 978-625-7677-10-3
• Merve Kayaci Çodur, Mohammad Ali Sahraei “the prediction of car ownership with machine learning approaches”, Nobel Bilimsel Eserler, 2022, ISBN: 978-625-4336-14-0
• Mohammad Ali Sahraei, Emre Kuşkapan, Muhammed Yasin Çodur, “application of dimensionless method to estimate traffic delays at stop-controlled T-intersections”, EcoProduction Book Series, 2021, https://doi.org/10.1007/978-3-030-66464-0

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• https://orcid.org/0000-0002-9130-3685
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• https://www.webofscience.com/wos/author/record/AAD-1747-2021