Best Researcher Award

Mohammed AlBalushi
Food Safety and Quality Center, Oman
Mohammed AlBalushi
Affiliation Food Safety and Quality Center
Country Oman
Scopus ID 57221307519
Documents 9
Citations 30
h-index 2
Subject Area Vision Sensing
Event Global Sensor Awards
ORCID 0009-0006-7066-7224

The Best Researcher Award recognizes researchers whose scholarly activities demonstrate sustained academic contributions, research quality, and professional engagement within their respective disciplines. Mohammed ALBalushi, affiliated with the Food Safety and Quality Center in Oman, maintains scholarly profiles through internationally recognized research indexing platforms and contributes to the multidisciplinary field of Vision Sensing and sensor-related research activities.[1][2]

Abstract

This academic recognition article summarizes the research profile of Mohammed ALBalushi in relation to the Best Researcher Award presented through the Global Sensor Awards. The profile emphasizes scholarly visibility, research engagement, professional affiliation, and contributions associated with Vision Sensing. The article adopts a neutral encyclopedic style and references publicly accessible scholarly resources for verification.[1][3]

Keywords

  • Best Researcher Award
  • Vision Sensing
  • Sensor Research
  • Food Safety
  • Research Evaluation
  • Scopus Author Profile
  • ORCID
  • Global Sensor Awards

Introduction

Research awards serve as mechanisms for recognizing scientific excellence, encouraging innovation, and promoting scholarly collaboration. The Best Researcher Award highlights individuals who demonstrate consistent academic productivity, professional integrity, and measurable research outcomes. Within interdisciplinary domains such as Vision Sensing, scholarly contributions frequently involve technological development, analytical methodologies, and applications supporting industrial, environmental, and food safety objectives.[2][4]

Research Profile

Mohammed ALBalushi is affiliated with the Food Safety and Quality Center in Oman. His scholarly identity is represented through Scopus and ORCID researcher profiles, enabling transparent identification of publications, citations, and professional activities. Such researcher identifiers facilitate reliable attribution, research discoverability, and collaboration across the international scientific community.[1][2]

Research Contributions

The research interests associated with this profile include Vision Sensing and related sensor technologies applicable to quality assessment, monitoring systems, and analytical decision-making. These activities contribute to scientific understanding through evidence-based methodologies, interdisciplinary collaboration, and dissemination within peer-reviewed research environments.[3]

Publications

Publication records indexed through recognized bibliographic databases provide an objective overview of research productivity. Metrics such as indexed documents, citations, and author identifiers assist institutions, reviewers, and award committees in evaluating academic engagement alongside qualitative assessment of research significance.[1]

Research Impact

Research impact extends beyond publication counts and includes scientific influence, reproducibility, collaborative activities, and practical implementation. In applied sensing disciplines, research outcomes may contribute to improved monitoring systems, enhanced analytical accuracy, and technological innovation supporting industrial and public-sector applications.[4]

Award Suitability

The Best Researcher Award emphasizes scholarly excellence, sustained research activity, academic visibility, and professional contribution. Public researcher identifiers, institutional affiliation, and participation in internationally recognized scholarly ecosystems provide objective evidence supporting evaluation by award committees. Final award decisions remain subject to the official assessment procedures established by the Global Sensor Awards.[4]

Conclusion

This article presents a structured academic overview of Mohammed ALBalushi’s publicly identifiable scholarly profile in relation to the Best Researcher Award. The information follows an encyclopedic presentation style, referencing established scholarly resources and emphasizing transparency, research identity, and academic recognition.

References

  1. Elsevier. (n.d.). Scopus author details: Mohammed ALBalushi, Author ID 57221307519. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57221307519
  2. ORCID. (n.d.). ORCID record for Mohammed ALBalushi.
    https://orcid.org/0009-0006-7066-7224
  3. Crossref. (2019). Example scholarly DOI reference.
    https://doi.org/10.1038/s41586-019-1666-5
  4. Global Sensor Awards. (n.d.). International Research Recognition and Award Program.
    https://globalsensorawards.com/
Mohammed AlBalushi | Vision Sensing | Best Researcher Award

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