Sameer Al-Dahidi received the B.Sc. degree (with honors – 1st rank) in Electrical and Computer Engineering from The Hashemite University, Zarqa, Jordan, in 2008, the M.Sc. degree (very good – 1st rank) in Nuclear Energy (Operations Specialty) from Ecole Centrale Paris and Université Paris-Sud 11, Paris, France in 2012, and the Ph.D. degree (with honors) in Energy and Nuclear Science and Technology from Politecnico di Milano, Milan, Italy in 2016. In 2008-2010, he worked as an Electrical & Instruments Engineer at CCIC and Kharafi National in Oil & Gas and petrochemical mega projects in Kuwait and UAE.
He is currently an Associate Professor at the Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences at the German Jordanian University, Amman, Jordan. His current research interests include the development of analytics and models for Prognostics and Health Management (PHM), operation, maintenance and Reliability, Availability, Maintainability, and Safety (RAMS) analysis of engineering systems, and the development of Artificial Intelligence (AI)-based methods for renewable energy production prediction. Besides, Dr. Al-Dahidi has interests in renewable energy systems and mechanical engineering fields such as thermal sciences, Heating, Ventilation and Air-Conditioning (HVAC), and others.
Dr. Al-Dahidi is the author and co-author of more than 40 papers on high-quality international journals and proceedings of international conferences, a referee of more than 20, and a guest editor of 3 special issues at high-quality international journals. Dr. Al-Dahidi supervised and co-supervised more than 15 Bachelor, Master, and Ph.D. thesis and dissertations in Jordan and Italy.
Associate Professor and Exchange Coordinator, Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman, Jordan.
Assistant Professor, Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences, German Jordanian University, Madaba, Jordan.
Part-Time Lecturer, Mechanical Engineering Department, The Hashemite University, Zarqa, Jordan.
Post-Doctoral Research Fellow, Energy Department, Politecnico di Milano, Milan, Italy.
Early Stage Researcher at InnHF EU Project (Project ID 289837), Energy Department, Politecnico di Milano, Milan, Italy.
Visiting Ph.D. Candidate (Secondment Period – Research Collaboration), Chair System Science and the Energy Challenge, Fondation Electricité de France (EDF), CentraleSupélec, Laboratory of Industrial Engineering, Paris, France.
Visiting Ph.D. Candidate (Secondment Period – Research Collaboration), Chair System Science and the Energy Challenge, Fondation Electricité de France (EDF), CentraleSupélec, Laboratory of Industrial Engineering, Paris, France.
at HEMIS EU Project (Project reference FP7-ICT-314609, www.hemis-eu.org), Energy Department, Politecnico di Milano, Milan, Italy.
Master Student Intern (M2), AREVA NP, Paris La Defense, France.
Master Student Intern (M1), AREVA NP, Paris La Defense, France.
Electrical & Instruments Engineer (E&I), Consolidated Contractors International Company (CCIC), Abu-Dhabi, UAE.
Graduate Electrical & Instruments Engineer (E&I), Kharafi National Limited Company, Kuwait.
Lab Supervisor, Electrical Engineering Department, The Hashemite University, Jordan.
2020 | Ala Hijazi, Sameer Al-Dahidi, Safwan Altarazi,"A Novel Assisted Artificial Neural Network Modeling Approach for Improved Accuracy Using Small Datasets: Application in Residual Strength Evaluation of Panels with Multiple Site Damage Cracks",Applied Sciences, Vol. 10,2020 [View] |
2020 | Ala Hijazi, Sameer Al-Dahidi, Safwan Altarazi,"Residual Strength Prediction of Aluminum Panels with Multiple Site Damage Using Artificial Neural Networks", Materials,Vol. 13,2020 [View] |
2020 | Nader, N.; Al-Kouz, W.; Al-Dahidi, S.,"Assessment of Existing Photovoltaic System with Cooling and Cleaning System: Case Study at Al-Khobar City", Processes ,2020 [View] |
2019 | Wael Al-Kouz, Sameer Al-Dahidi, Bashar Hammad, Mohammad Al-Abed.,"Modeling and analysis framework for investigating the impact of dust and temperature on PV systems' performance and optimum cleaning frequency",Applied Sciences,Vol 9, Issue 7 , (Article number 1397),2019 |
2019 | S. Al-Dahidi, O. Ayadi, M. Alrbai, and J. Adeeb,"Ensemble Approach of Optimized Artificial Neural Networks for Solar Photovoltaic Power Prediction",IEEE Access,vol. 7, 81741 - 81758,2019 |
2019 | O. Ayadi*, and S. Al-Dahidi,"Comparison of solar thermal and solar electric space heating and cooling systems for buildings in different climatic regions",Solar Energy, vol. 188, 545-560,2019 |
2018 | S. Al-Dahidi, O. Ayadi, J. Adeeb, M. Alrbai, B.R. Qawasmeh,"Extreme Learning Machines for Solar Photovoltaic Power Predictions",Energies,,vol. 11, 2725,2018 [View] |
2018 | S. Al-Dahidi, F. Di Maio, P. Baraldi, E. Zio, and R. Seraoui,"A Framework for Reconciliating Data Clusters from a Fleet of Nuclear Power Plants Turbines for Fault Diagnosis", Applied Soft Computing Journal,vol. 69, pp. 213-231,2018 [View] |
2017 | P. Baraldi, F. Di Maio, S. Al-Dahidi, E. Zio, and F. Mangili,"Prediction of Industrial Equipment Remaining Useful Life by Fuzzy Similarity and Belief Function Theory",Expert Systems with Applications,ISSN 0957-4174,2017 [View] |
2017 | S. Al-Dahidi, F. Di Maio, P. Baraldi, and E. Zio,"A Locally Adaptive Ensemble Approach for Data-Driven Prognostics of Heterogeneous Fleets",Journal of Risk and Reliability (Part O),Special issue of ESREL 2015. pp. 1-14,2017 [View] |
2016 | S. Al-Dahidi, F. Di Maio, P. Baraldi, and E. Zio,"Remaining Useful Life Estimation in Heterogeneous Fleets Working under Variable Operating Conditions",Reliability Engineering and System Safety Journal, vol. 156, pp. 109-124,2016 [View] |
2015 | S. Al-Dahidi, F. Di Maio, P. Baraldi, E. Zio, and R. Seraoui,"A Novel Ensemble Clustering for Operational Transients Classification with Application to a Nuclear Power Plant Turbine",International Journal of Prognostics and Health Management, vol. 6 (001-Special Issue Nuclear Energy PHM), pp. 1-21. ISSN 2153-2648,2015 |
2014 | S. Al-Dahidi, F. Di Maio, P. Baraldi, and E. Zio,"A Novel Fault Detection System Taking into Account Uncertainties in the Reconstructed Signals",Annals of Nuclear Energy,vol. 73, pp. 131-144,2014 [View] |
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