Assistant Professor ,Exchange Coordinator
C114
+962 6 4294444 Ext. 4537
Biography

Sameer Al-Dahidi (B.Sc. in Electrical Engineering, The Hashemite University, 2008; M.Sc. in Nuclear Energy - Operations Specialty - Ecole Centrale Paris and Université Paris - Sud 11, 2012; Ph.D. in Energetic and Nuclear Science and Technology (specific major is Predictive Maintenance in Energy Production Plants), Politecnico di Milano, 2016) is an Assistant Professor at the Mechanical and Maintenance Engineering Department, School of Applied Technical Sciences at the German Jordanian University since February, 2018.

 

His research aims at studying, developing and applying efficient computational methods and soft computing techniques (ensemble system, kernel regression methods, clustering techniques, etc.) for 1) addressing a number of open issues relevant for system health monitoring, fault diagnosis and prognosis, safety, risk analysis, maintenance optimization and handling the uncertainty and ambiguity in the information in safety-relevant industries such as nuclear and oil and gas and 2) the prediction of renewable energy productions.

 

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. In 2010 and 2011, he did his internships at AREVA NP as part of his M.Sc. study in France.

Educational Background

Ph.D., Energetic and Nuclear Science and Technology, Polytechnic University of Milan, Italy
M.Sc., Nuclear Energy, Operations & Maintenance, École Centrale Paris, University Paris Sud 11, France
B.Sc., Electrical Engineering, The Hashemite University, Jordan
Research Interests

Developing of computational methods and models for:

1) Health management (condition monitoring, diagnostics and prognostics, maintenance) of complex industrial components, systems and plants for improving operation and maintenance practices and increasing reliability, availability, production performance and safety while reducing overall corrective maintenance costs;

2) Renewable energy production prediction

Experience
  • February 2018 – Present

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

  • September 2017 – January 2018

Part-Time Lecturer, Mechanical Engineering Department, The Hashemite University, Zarqa, Jordan.

  • June 2016 – May 2017

Post-Doctoral Research Fellow, Energy Department, Politecnico di Milano, Milan, Italy.

  • January 2013 – November 2015

Early Stage Researcher at InnHF EU Project (Project ID 289837), Energy Department, Politecnico di Milano, Milan, Italy.

  • January 2015 – April 2015

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.

  • January 2014 – April 2014

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.

  • January 2014 – April 2014

at HEMIS EU Project (Project reference FP7-ICT-314609, www.hemis-eu.org), Energy Department, Politecnico di Milano, Milan, Italy.

  • April 2012 September 2012

Master Student Intern (M2), AREVA NP, Paris La Defense, France.

  • April 2011 July 2011

Master Student Intern (M1), AREVA NP, Paris La Defense, France.

  • January 2009 – May 2010

Electrical & Instruments Engineer (E&I), Consolidated Contractors International Company (CCIC), Abu-Dhabi, UAE.

  • September 2008 – December 2008

Graduate Electrical & Instruments Engineer (E&I), Kharafi National Limited Company, Kuwait.

  • June 2008 – October 2008

Lab Supervisor, Electrical Engineering Department, The Hashemite University, Jordan.

Awards
  • Winner of a Scientific Post-Doctoral Research Fellowship for one-year post doctorate, Energy Department, Politecnico di Milano, 1st 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)” within PHM 2013 Conference Politecnico di Milano, 8th September, 2013.
  • Winner of the Marie Curie Ph.D. Fellowship within the European Project Innovation through Human Factors in risk analysis and management’ (InnHF, www.innhf.eu) financed by the 7th framework program FP7-PEOPLE-2011- Initial Training Network: Marie-Curie Action at the Energy Department of the Politecnico di Milano – Early Stage Researcher, 2013.
  • Winner of four years Scholarship from Ministry of Higher Education and Scientific Research, Faculty of Engineering, The Hashemite University, Jordan, 2004-2008.

Selected Publications

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]