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Best Researcher Award

Panagiota-Kyriaki Revelou
Affiliation University of West Attica
Country Greece
Scopus ID 55340850400
Documents 31
Citations 540
h-index 13
Subject Area Food Science and Machine Learning
Event International Physics and Quantum Physics Awards
ORCID 0000-0003-3329-9398

Panagiota-Kyriaki Revelou is a Greek researcher specializing in food science, food technology, analytical chemistry, food safety, phytochemistry, and the application of machine learning methodologies in food-related systems. Her academic and professional activities include research, teaching, laboratory analysis, and interdisciplinary investigations that connect food quality, sustainability, consumer behavior, and emerging technological approaches.[1] [2]

Abstract

This article presents an academic overview of Panagiota-Kyriaki Revelou, a researcher affiliated with the University of West Attica whose work spans food science, food technology, phytochemical analysis, food safety systems, sustainability, consumer studies, and machine learning applications in food monitoring. Her scholarly output includes peer-reviewed journal publications addressing analytical methodologies, food waste reduction, food quality assessment, bioactive compounds, and digital innovations in food safety management.[1][3]

Keywords

Food Science, Food Technology, Machine Learning, Food Safety, HACCP, Analytical Chemistry, Consumer Behavior, Food Waste, Phytochemistry, Sustainable Food Systems, Bioactive Compounds, Research Excellence.

Introduction

The integration of advanced analytical techniques and data-driven methodologies has transformed modern food science. Researchers increasingly combine traditional laboratory investigations with computational approaches to improve food quality, safety, traceability, and sustainability. Within this context, Panagiota-Kyriaki Revelou has contributed to research activities that examine food composition, phytochemical properties, consumer perceptions, and machine learning applications in food systems.[4]

Research Profile

Revelou earned a PhD in Organic Chemistry within the field of Food Science and Human Nutrition from the Agricultural University of Athens. Her academic career includes postdoctoral research appointments and teaching activities at the University of West Attica, particularly within the Department of Food Science and Technology. Earlier professional experience included laboratory analytical work, contributing to her expertise in food testing and quality assessment.[1]

  • Food Science and Technology research
  • Analytical and Organic Chemistry applications
  • Food Safety and HACCP monitoring systems

Research Contributions

Her research portfolio demonstrates interdisciplinary engagement across food chemistry, nutritional science, sustainability studies, and emerging computational technologies. Published investigations have addressed household food waste behaviors, machine learning applications for food safety monitoring, consumer awareness of cultured meat technologies, and analytical determination of biologically active compounds in food matrices.[3][4]

  • Investigation of food waste reduction strategies and educational interventions.
  • Application of machine learning tools for HACCP and food safety monitoring.
  • Characterization of phytochemical constituents and bioactive compounds.

Publications

Selected publications associated with Panagiota-Kyriaki Revelou include peer-reviewed journal articles that demonstrate research activity in food science, sustainability, analytical chemistry, and machine learning applications.[3]

  1. Investigating Household Food Waste Behaviors: A Social Practice Theory-Based Survey Combined with an Educational Intervention (2026).
  2. Applications of Machine Learning in Food Safety and HACCP Monitoring of Animal-Source Foods (2025).
  3. Determination of Phenethyl Isothiocyanate, Erucin, Iberverin, and Erucin Nitrile Concentrations in Broccoli Tissues Using GC-MS (2024).

Research Impact

According to the supplied Scopus metrics, Revelou has authored 31 indexed documents, accumulated approximately 540 citations, and achieved an h-index of 13. These indicators suggest sustained scholarly engagement and measurable influence within food science and related interdisciplinary research domains.[2] Her work contributes to ongoing discussions regarding sustainable food systems, food safety technologies, consumer education, and analytical methodologies for food evaluation.[3][4]

Award Suitability

For the Best Researcher Award presented within the International Physics and Quantum Physics Awards framework, Panagiota-Kyriaki Revelou demonstrates characteristics commonly considered in academic recognition programs, including peer-reviewed publication activity, interdisciplinary research engagement,  Her research profile reflects sustained scholarly productivity and the advancement of knowledge in applied scientific disciplines.[1][2]

Conclusion

Panagiota-Kyriaki Revelou has established a research profile centered on food science, analytical chemistry, sustainability, and technology-enabled approaches to food safety and quality assessment. Her scholarly record, research collaborations, and interdisciplinary investigations illustrate continued contributions to academic research and applied scientific knowledge. Through publications, educational involvement, and methodological innovation, she remains engaged in areas that support the development of modern food systems and evidence-based decision-making.[1][4]

References

  1. ORCID. (n.d.). Panagiota-Kyriaki Revelou (ORCID: 0000-0003-3329-9398).
    https://orcid.org/0000-0003-3329-9398
  2. Elsevier. (n.d.). Scopus author details: Panagiota-Kyriaki Revelou, Author ID 55340850400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55340850400
  3. Revelou, P.-K., et al. (2025). Applications of Machine Learning in Food Safety and HACCP Monitoring of Animal-Source Foods. Foods.
    DOI:https://doi.org/10.3390/foods14060922
  4. Revelou, P.-K., et al. (2026). Investigating Household Food Waste Behaviors: A Social Practice Theory-Based Survey Combined with an Educational Intervention. World.
    DOI:https://doi.org/10.3390/world7030042
Panagiota-Kyriaki Revelou | Food science and machine learning | Best Researcher Award

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