Prof. Sameer Al-Dahidi

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Prof. Sameer Al-Dahidi
Professor, Head of the Mechanical and Maintenance Engineering Department
OFFICE: C114
PHONE: +962 6 4294444 Ext. 4537
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Biography

Sameer Al-Dahidi received the B.Sc. degree (with honors – 1st rank) in Electrical and Computer Engineering from The Hashemite University (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 (France) in 2012, and the Ph.D. degree (with honors) in Energy and Nuclear Science and Technology from Politecnico di Milano (Italy) in 2016. From 2008 to 2010, Dr. Al-Dahidi worked as an Electrical & Instruments Engineer at CCIC and Kharafi National on Oil & Gas and petrochemical mega projects in Kuwait and the UAE.

 

Dr. Al-Dahidi is currently the Head of the Mechanical and Maintenance Engineering Department (Full Professor) at the School of Applied Technical Sciences, German Jordanian University, Amman, Jordan. His research interests include the development of advanced machine learning models and optimization techniques to address complex industrial challenges including applications in renewable energy systems and thermal processes. Focus areas include performance analysis, system optimization, energy efficiency and sustainability, techno-economic evaluation, Reliability, Availability, Maintainability, and Safety (RAMS) analysis, and Prognostics and Health Management (PHM).

 

Dr. Al-Dahidi is an outstanding professor, teaching bachelor and master-level engineering courses both full-time and part-time locally (e.g., Al Hussein Technical University - HTU) and internationally (e.g., The Technical University of Applied Sciences Würzburg-Schweinfurt - THWS), with exceptional evaluations from students (>92%). He has supervised and co-supervised >50 Bachelor, Master, and Ph.D. theses and dissertations both locally and globally. Dr. Al-Dahidi is the author and co-author of >110 papers on high-quality international journals and proceedings of international conferences, a referee of >20, a guest editor of 6 special issues at high-quality international journals, and a permanent editor of 2 journals. As of July 2025, Dr. Al-Dahidi’s h-index was 29 in Google Scholar, 25 in Scopus, and 23 in ISI Web of Science.

 

Dr. Al-Dahidi served as the Program Coordinator and Quality Assurance Manager for the EDU-SYRIA EU-funded educational and humanitarian project (valued at €37.6 million) from June 2021 to July 2025.

Educational Background

Ph.D. in Energy and Nuclear Science and Technology, Politecnico di Milano, Italy, 2016
M.Sc. in Nuclear Energy, Operations, École Centrale Paris and Université Paris-Sud XI, France, 2012
B.Sc. in Electrical and Computer Engineering, The Hashemite University, Jordan, 2008
Research Interests

My research focuses on developing advanced machine learning models and optimization techniques to address complex industrial challenges, including applications in renewable energy systems and thermal processes. My focus areas include:

  • Performance Analysis: Evaluating and predicting system performance using data-driven models for enhanced operational efficiency.
  • System Optimization: Developing optimization techniques to maximize efficiency and minimize costs in industrial processes.
  • Energy Efficiency and Sustainability: Enhancing energy utilization and promoting sustainable industrial operations.
  • Techno-Economic Evaluation: Assessing the economic feasibility and cost-effectiveness of innovative energy solutions.
  • Reliability, Availability, Maintainability, and Safety (RAMS) Analysis: Ensuring system reliability and safety through predictive maintenance and risk assessment.
  • Prognostics and Health Management (PHM): Predicting equipment health and remaining useful life for improved maintenance and operational reliability.
 
Experience

EXPERIENCE

 
  • May 2025 - Present

Professor, Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman, Jordan.

  • February 2021 – May 2025
Associate Professor, Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman, Jordan.
 
  • February 2018 – January 2021
Assistant Professor, Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman, Jordan.
 
 
ADMINISTRATIVE POSITIONS
 
  • February 2021- Present

Head of the Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman, Jordan.

  • June 2021 – July 2025
Program Coordinator and Quality Assurance Manager, EDU-SYRIA EU-Funded Project (37.6 million Euros) (https://edu-syria.eu/), German Jordanian University, Amman, Jordan.
 
  • February 2018 – July 2024
Exchange Coordinator, Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman, Jordan.
 
  • September 2022 – August 2023
Representative of the Head of Department, Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman, Jordan.
 
  • September 2021 – August 2022
Exchange Coordinator, Mechatronics Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman, Jordan.
 
Awards
  • Recognition of Teaching Excellence, Deanship of Graduate Studies, GJU [January 2024].
  • Distinguished Research Award (DRA) (2nd rank), GJU [2022/2023].
  • Distinguished Academic Award (DAA) (3rd rank), GJU [2022/2023].
  • Winner of a Worldwide Part-Time Teaching Opportunity, Technical University of Applied Sciences Würzburg-Schweinfurt (THWS) [May 2023].
  • Winner of an ERASMUS+ Staff Mobility Training Opportunity, University of Cyprus [July 2022].
  • Winner of a Worldwide Part-Time Teaching Opportunity, University of Applied Sciences Würzburg-Schweinfurt (FHWS) [May 2022].
  • Best Poster Award, 29th European Safety and Reliability Conference (ESREL 2019), Hannover, Germany [September 2019].
  • Winner of Excellent Oral Presentation Certificate, 3rd International Conference on System Reliability and Safety (ICSRS 2018), Barcelona, Spain [November, 2018].
  • Winner of Excellent Oral Presentation Certificate, 2nd International Conference on System Reliability and Safety (ICSRS 2017), Milan, Italy [December 2017].
  • Winner of a Scientific Research Fellowship for a one-year post-doctorate, Politecnico di Milano [June 2016].
  • Winner of the IEEE Reliability Society Scholarship (Italian Chapter) for the tutorials track in the area of “Diagnostics, Prognostics and Health Management (PHM), and Condition-Based Maintenance (CBM)”, PHM 2013 Conference, Politecnico di Milano [September 2013].
  • Winner of the Marie Curie Ph.D. Fellowship within the EU Project InnHF financed by the 7th framework program FP7-PEOPLE-2011- Initial Training Network: Marie-Curie Action, Politecnico di Milano [January 2013].
  • Winner of a Master Scholarship for two years from the French Government in Nuclear Energy (Operations), Université Paris-Sud XI and École Centrale Paris [September 2010].
  • Second rank among all graduates (535) from all Jordanian universities in the University Efficiency Examination held by the Ministry of Higher Education and Scientific Research in the (Electrical Engineering) specialization, Jordan [June 2008].
  • Dean’s list - Faculty of Engineering, The Hashemite University, Jordan, 2004-2008.
 

Selected Publications
2025 Bilal Rinchi, Raghad Dababseh, Mayar Jubran, Sameer Al-Dahidi, Mohammed E.B. Abdalla, Osama Ayadi ,"Global Prediction of Optimal Solar Panel Tilt Angles via Machine Learning",Applied Energy,vol. 382, 125322, ISSN: 1872-9118,2025 [View]
2024 S. Al-Dahidi, B. Rinchi, R. Dababseh, O. Ayadi, M. Alrbai ,"A Geographic Multi-Scale Machine Learning Framework for Predicting Solar Irradiation on Tilted Surfaces",Energy,vol. 313, 133767,ISSN: 1873-6785,2024 [View]
2024 S. Al-Dahidi, M. Alrbai, B. Rinchi, L. Al-Ghussain, O. Ayadi, A. Alahmer ,"A Tiered NARX Model for Forecasting Day-ahead Energy Production in Distributed Solar PV Systems",Cleaner Engineering and Technology,vol. 23, 100831,ISSN: 2666-7908,2024 [View]
2024 S. Al-Dahidi, M. Madhiarasan, L. Al-Ghussain, A.M. Abubaker, A.D. Ahmad, M. Alrbai, M. Aghaei, H. Alahmer, A. Alahmer, P. Baraldi, E. Zio,"Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework",Energies,vol. 17, no. 16, 4145,ISSN: 1996-1073,2024 [View]
2024 S. Al-Dahidi, M. Alrbai, H. Alahmer, B. Rinchi, A. Alahmer,"Enhancing Solar Photovoltaic Energy Production Prediction Using Diverse Machine Learning Models Tuned with the Chimp Optimization Algorithm",Scientific Reports,vol. 14, 18583,ISSN: 2045-2322,2024 [View]
2024 S. Al-Dahidi, M.A. Gharaibeh, M. Alrbai, B. Rinchi, A. Hijazi ,"An Optimized Hybrid Finite Element Analyses - Artificial Neural Networks Technique for Estimating In-Plane Orthotropic Mechanical Properties of Printed Circuit Boards",Results in Engineering,vol. 23, 102725,ISSN: 2590-1230,2024 [View]
2024 S. Al-Dahidi, P. Baraldi, M. Fresc, E. Zio, L. Montelatici ,"Feature Selection by Binary Differential Evolution for Predicting the Energy Production of a Wind Plant",Energies,vol. 17, no. 10, 2424,ISSN: 1996-1073,2024 [View]
2024 L. Al-Ghussain, M. Alrbai, S. Al-Dahidi, Z. Lu,"Integrated Assessment of Green Hydrogen Production in California: Life Cycle Greenhouse Gas Emissions, Techno-Economic Feasibility, and Resource Variability",Energy Conversion and Management,vol. 311, 118514, ISSN: 1879-2227,2024 [View]
2024 M. Alrbai, S. Al-Dahidi, H. Alahmer, L. Al-Ghussain, H. Hayajneh, B. Shboul, M. Abusorra, A. Alahmer ,"Utilizing Waste Heat in Wastewater Treatment Plants for Water Desalination: Modeling and Multi-Objective Optimization of a Multi-Effect Desalination System Using Decision Tree Regression and Pelican Optimization Algorithm",Thermal Science and Engineering Progress,vol. 54, 102784, ISSN: 2451-9049,2024 [View]
2024 B. Rinchi, O. Ayadi, S. Al-Dahidi, R. Dababseh ,"A Universal Tool for Estimating Monthly Solar Radiation on Tilted Surfaces from Horizontal Measurements: A Machine Learning Approach",Energy and Conversion Management,vol. 314, 118703, ISSN: 0959-6526,2024 [View]
2024 B. Hammad, S. Al-Dahidi, Y. Aldahouk, D. Majrouh,"Technical, Economic, and Environmental Investigation of Pumped Hydroelectric Energy Storage Integrated with Photovoltaic Systems in Jordan",Sustainability,vol. 16, no. 4, 1357,EISSN: 2071-1050,2024 [View]
2024 S. Al-Dahidi, M. Alrbai, L. Al-Ghussain, A. Alahmer,"Maximizing Energy Efficiency in Wastewater Treatment Plants: A Data-Driven Approach for Waste Heat Recovery and an Economic Analysis using Organic Rankine Cycle and Thermal Energy Storage",Applied Energy, vol. ,362, 123008,ISSN: 1872-9118,2024 [View]
2023 S. Al-Dahidi, M. Alrbai, L. Al-Ghussain, A. Alahmer, HS. Hayajneh,"Data-Driven Analysis and Prediction of Wastewater Treatment Plant Performance: Insights and Forecasting for Sustainable Operations",Bioresource Technology,vol. 391, Part A, 129937,ISSN: 1873-2976,2023 [View]
2023 Sameer Al-Dahidi, Salah Al-Nazer, Osama Ayadi, Shuruq Shawish, Nahed Omran,"Analysis of the Effects of Cell Temperature on the Predictability of the Solar Photovoltaic Power Production",International Journal of Energy Economics and Policy,2023
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]
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 M. Ibrahim, A. Alsheikh, Q. Al-Hindawi, S. Al-Dahidi, H. ElMoaqet,"Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms",Computational Intelligence and Neuroscience,2020 [View]
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
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
2018 S. Al-Dahidi, H. ElMoaqet,"Direct and Recursive Strategies for Multi-Step Ahead Wind Speed Forecasting",ITISE,2018
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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