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Sameh Fuqaha

Civil engineering · Muhammadiyah University of Yogyakarta

https://researchid.co/samehfuqaha
@umy.ac.id
12Scopus Publications
38Google Scholar Citations
4Google Scholar h-index
1Google Scholar i10-index

Biography

Sameh Fuqaha is a civil engineer and researcher specializing in sustainable construction materials, machine learning applications in civil engineering, and performance modeling of eco-friendly concrete systems. His work integrates artificial intelligence, statistical modeling, and experimental materials engineering to develop low-carbon and resource-efficient construction solutions. His research focuses on predicting mechanical and durability properties of sustainable concrete incorporating non-potable water, geopolymer binders, bentonite, and recycled materials. He is also active in bibliometric research, structural performance assessment, and AI-driven optimization of building materials.

Education

Master of Engineering in Civil Engineering (2024–2026) Universitas Muhammadiyah Yogyakarta, Indonesia Thesis: Machine learning and statistical modeling for sustainable concrete strength prediction using non-potable water, self-compacting geopolymer, and bentonite plastic concrete Postgraduate Program in Environmental Studies (2020–2021) Ben-Gurion University of the Negev, Israel Thesis: Green Building Design for Arid Regions Bachelor of Science in Civil Engineering (2013–2018) Muğla Sıtkı Koçman University, Turkey Erasmus+ Exchange: Politécnico da Guarda, Portugal

Recent Scopus Publications

  1. Debris flow prediction and impact mitigation: A comprehensive review and bibliometric perspective
    Multidisciplinary Reviews, 2026
  2. Seismic Shear Strength Prediction of RC Joints Using Shallow Neural Networks
    Engineering Perspective, 2026
  3. PREDICTING BENTONITE PLASTIC CONCRETE PERFORMANCE USING MACHINE LEARNING
    Journal of Applied Engineering and Technological Science, 2025
  4. Performance of Concrete Mixed with Non-Potable Water Sources: A Compressive Strength Investigation
    Bio Web of Conferences, 2025
  5. A hybrid IVIF-MDL-MARCOS framework for sustainable selection of bamboo composites in green construction
    Advances in Bamboo Science, 2025

Research Outputs

Machine learning models for concrete strength prediction, bibliometric mapping tools for sustainable materials research, and AI-based structural performance prediction frameworks.

Grants / Consultancy

None Technical input on sustainable concrete materials and data-driven performance evaluation (academic and pilot research level).

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