Research output per year
Research output per year
Personal profile
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.
Professional Information
I am committed to high-quality teaching, cutting-edge research in machine learning and optimization for addressing various industrial challenges, and impactful community service.
Education/Academic qualification
PhD, Energy and Nuclear Science and Technology, Politecnico di Milano
Jan 2013 → Mar 2016
Award Date: 16 Mar 2016
Master, Nuclear Energy, Operations, CentraleSupélec
Aug 2010 → Sep 2012
Award Date: 12 Sep 2012
Bachelor, Electrical and Computer Engineering, Hashemite University
Sep 2004 → Jun 2008
Award Date: 12 Jun 2008
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 15 Life on Land -
SDG 17 Partnerships for the Goals
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Dive into the research topics where Sameer Al-Dahidi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Neural network-based framework for fatigue life prediction of natural rubber under thermo-oxidative preaging spectra
Hijazi, A. & Al-Dahidi, S., Feb 2027, In: International Journal of Fatigue. 215, 109952.Research output: Contribution to journal › Article › peer-review
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A bibliometric review of hydrogen fuel cell research: trends in safety, reliability, and performance analysis (2020–2024)
Gotmare, A., Patil, R. B., Dhale, A., Vasudevan, H., Al-Dahidi, S. & Roy, A., 2026, In: International Journal of Sustainable Energy. 45, 1, 2637991.Research output: Contribution to journal › Review article › peer-review
Open Access4 Scopus citations -
An Evolutionary Stacked Ensemble for Improving Accuracy and Computational Efficiency in Daily Photovoltaic Energy Prediction
Rinchi, B., Al-Dahidi, S., Abdalla, M. E. B., Ayadi, O. & Alrbai, M., 2026, In: IEEE Access. 14, p. 28282-28302 21 p.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Comparative development of single- and multi-output ANN surrogates for predicting natural frequencies from Chebyshev spectral simulation
Al-Dahidi, S., Sari, M. S. & Alrbai, M., Jul 2026, In: Smart Structures and Systems. 38, 1, p. 69-87 19 p.Research output: Contribution to journal › Article › peer-review
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Critical buckling load prediction in tapered axially functionally graded nanobeams using machine learning under different boundary conditions
Al-Dahidi, S. & Sari, M. S., Jan 2026, In: Advances in Mechanical Engineering. 18, 1Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations