Innovative Research Award

Safaa Najah Saud Al-Humairi
Management and Science University, Malaysia

Safaa Najah Saud Al-Humairi
Affiliation Management and Science University
Country Malaysia
Scopus ID 55851376600
Documents 135
Citations 1,993
h-index 27
Subject Area Optimization
Event Math Scientist Awards
ORCID 0000-0001-5978-7651

Safaa Najah Saud Al-Humairi is a researcher affiliated with Management and Science University in Malaysia whose documented scholarly profile is associated with optimization and computationally supported engineering research. The available bibliographic record lists 135 documents, 1,993 citations, and an h-index of 27. These indicators provide a quantitative context for considering the researcher for an Innovative Research Award.

Abstract

This academic recognition profile examines the research record of Safaa Najah Saud Al-Humairi in the context of optimization-oriented scientific work. Recent publications address photovoltaic panel modelling, curved photovoltaic structures, Internet of Things-enabled environmental monitoring, artificial intelligence in materials research, and bioactive nanomaterials. Collectively, these works illustrate interdisciplinary applications of modelling, optimization, computation, and engineering design.

Keywords

  • Optimization
  • Photovoltaic Modelling
  • Computational Techniques
  • Artificial Intelligence
  • Sustainable Energy

Introduction

Optimization research frequently connects mathematical or computational methods with practical engineering objectives. In this profile, the documented publication portfolio includes studies that apply modelling and design approaches to renewable-energy systems and emerging computational applications. The researcher’s Scopus record supplies an additional bibliometric basis for evaluating scholarly activity. [1]

Research Profile

The profile is characterized by 135 indexed documents, 1,993 citations, and an h-index of 27, as supplied for this recognition article. The subject-area designation is Optimization. These bibliometric measures should be interpreted as indicators of publication and citation activity rather than as standalone measures of research quality. [1]

Research Contributions

Recent work demonstrates attention to sustainable photovoltaic engineering. One 2026 study investigates modelling and optimization of curved photovoltaic panels for high-efficiency solar-energy conversion. [2] Another examines a floating curved photovoltaic panel combined with IoT-enabled weather monitoring for river and lake environments. [3] Additional contributions extend toward artificial intelligence and advanced computational techniques in shape memory alloy research, alongside biomedical nanomaterial applications. [4] [5]

Publications

  • Modelling and optimisation of curved photovoltaic panels for high-efficiency solar energy conversion — Next Sustainability, 2026. [2]
  • Design of a Floating Curved Photovoltaic Panel with IoT-Enabled Weather Monitoring for Rivers and Lakes Environments — Al-Khwarizmi Engineering Journal, 2026. [3]
  • The Role of AI and Advanced Computational Techniques in Transforming Shape Memory Alloy Research — book chapter, 2026. [4]
  • Bioactive Nanomaterials: Revolutionizing Biomedical Science — book chapter, 2026. [5]

Research Impact

The supplied bibliometric record indicates substantial scholarly visibility, with 1,993 citations and an h-index of 27. The publication themes also connect optimization with renewable energy, environmental monitoring, computational engineering, and biomedical research. Such cross-domain activity may support knowledge transfer between computational methods and applied scientific problems. [1]

Award Suitability

The documented research profile provides relevant evidence for consideration for the Innovative Research Award at the Math Scientist Awards. Its suitability is supported by an established publication and citation record and by recent research addressing optimization, sustainable photovoltaic technologies, IoT monitoring, and advanced computational methods. Final award decisions remain subject to the applicable evaluation criteria and review process.

Conclusion

Safaa Najah Saud Al-Humairi’s research profile combines optimization-oriented scholarship with applied investigations in renewable energy, computational engineering, and emerging scientific technologies. The supplied Scopus indicators and recent publications provide a structured basis for academic recognition and demonstrate a research trajectory relevant to interdisciplinary innovation.

References

  1. Elsevier. (n.d.). Scopus author details: Safaa Najah Saud Al-Humairi, Author ID 55851376600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55851376600
  2. Elsevier. (2026). Modelling and optimisation of curved photovoltaic panels for high-efficiency solar energy conversion. Next Sustainability.
    https://doi.org/10.1016/j.nxsust.2026.100495
  3. Al-Khwarizmi Engineering Journal. (2026). Design of a Floating Curved Photovoltaic Panel with IoT-Enabled Weather Monitoring for Rivers and Lakes Environments.
    https://doi.org/10.22153/kej.2026.03.002
  4. IGI Global. (2026). The Role of AI and Advanced Computational Techniques in Transforming Shape Memory Alloy Research.
    https://doi.org/10.4018/979-8-3373-6127-7.ch006
  5. Springer. (2026). Bioactive Nanomaterials: Revolutionizing Biomedical Science.
    https://doi.org/10.1007/978-981-96-8023-8_5
  6. ORCID. (n.d.). Safaa Najah Saud Al-Humairi, ORCID iD 0000-0001-5978-7651.
    https://orcid.org/0000-0001-5978-7651
  7. Math Scientist Awards. (n.d.). Math Scientist Awards.
    mathscientists.com
Safaa Najah Saud Al-Humairi | Optimization | Innovative Research Award

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