Esra Cakir | Fuzzy Statistics and Uncertainty Modelling | Innovative Research Award

Innovative Research Award

Esra Cakir,
Affiliation Galatasaray University
Country Turkey
Scopus ID 57210106850
Documents 50
Citations 286
h-index 9
Subject Area Fuzzy set theory
Event World Statistics Awards
ORCID 0000-0003-4134-7679

Esra Cakir,
Galatasaray University

Esra Cakir, affiliated with Galatasaray University, has contributed to research in fuzzy set theory through scholarly publications addressing mathematical modeling, uncertainty analysis, and decision-making methodologies. Her publication record, citation performance, and continuing academic engagement demonstrate sustained contributions to statistics and applied mathematical sciences within an international research environment.[1]

Abstract

Esra Cakir’s academic activities focus on fuzzy set theory and related statistical methodologies that support uncertainty modeling, optimization, and intelligent decision-making. Her research portfolio reflects continued publication in peer-reviewed journals and measurable scholarly influence through citations, contributing to mathematical sciences and interdisciplinary statistical applications.[1] [2]

Keywords

Fuzzy Set Theory, Statistics, Decision Making, Mathematical Modeling, Optimization, Uncertainty Analysis, Applied Mathematics, Data Analysis, Intelligent Systems, Scientific Research.[2]

Introduction

Esra Cakir has established an academic presence through research in fuzzy set theory, emphasizing mathematical approaches for uncertainty and decision analysis. Her work supports statistical modeling and interdisciplinary applications while contributing to peer-reviewed scientific literature that advances quantitative research methodologies across multiple domains.[1] [2]

Research Profile

Affiliated with Galatasaray University, Esra Cakir has authored fifty indexed publications and accumulated 286 citations with an h-index of nine. Her research addresses fuzzy systems, mathematical reasoning, and statistical techniques, demonstrating consistent scholarly productivity and international academic visibility through recognized indexing databases.[1] [3]

Research Contributions

Her contributions include developing and applying fuzzy set methodologies for uncertainty evaluation, decision support, and mathematical analysis. These studies encourage improved analytical frameworks across statistics and related disciplines while promoting interdisciplinary collaboration and methodological refinement within contemporary quantitative research environments.[2] [3]

Publications

Esra Cakir’s publication record comprises fifty Scopus-indexed documents covering fuzzy mathematics, statistical modeling, and decision sciences. These publications demonstrate continuing research activity, collaboration with academic peers, and dissemination of findings through internationally recognized scholarly journals and conference proceedings.[1] [4]

Research Impact

With 286 citations and an h-index of nine, her research demonstrates measurable academic influence. Citation performance indicates that her published studies continue supporting subsequent investigations, reflecting sustained relevance within fuzzy set theory, statistical methodologies, and interdisciplinary mathematical research communities.[1] [3]

Award Suitability

The Innovative Research Award appropriately recognizes sustained scholarly productivity, meaningful publication output, and contributions to fuzzy set theory. Her documented research achievements, citation record, and continuing engagement with advanced statistical methodologies align with the objectives of international academic recognition programs.[1] [2]

Conclusion

Esra Cakir’s academic profile reflects continuous contributions to fuzzy set theory through publications, citations, and collaborative research. Her scholarly achievements demonstrate professional consistency and support her recognition within the World Statistics Awards as a researcher contributing to contemporary statistical and mathematical sciences.[1] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Esra Cakir, Author ID 57210106850. Scopus.

    https://www.scopus.com/pages/authors/57210106850

  2. ORCID. (n.d.). Esra Cakir ORCID Record: 0000-0003-4134-7679.

    https://orcid.org/0000-0003-4134-7679

  3. Çakır, E. (2026). Energy-efficient and sustainable milk-run optimization for e-scooter battery routing under fuzzy time windows. IEEE Transactions on Industry Applications.

    https://doi.org/10.1109/TIA.2026.3680469

  4. World Statistics Awards. (n.d.). Innovative Research Award.

    https://statisticsaward.com

Haifa Jammeli | Operations Research and Statistical Optimization | Best Researcher Award

Dr. Haifa Jammeli | Operations Research and Statistical Optimization | Best Researcher Award

Normasys | France

Dr. Haifa Jammeli is a research fellow at the Institut Supérieur de Gestion de Tunis, specializing in business computing and operations research. She holds a PhD from the Higher Institute of Management in Tunisia and a Master’s degree in Logistics and Transportation Sciences from the Higher Institute of Logistics and Transportation, Sousse University. Her academic and professional journey spans over a decade, with significant contributions to supply chain optimization, AI in logistics, and sustainable urban planning. She is a part-time instructor at Paris Nanterre University and NEOMA Business School, teaching courses in supply chain management, operations research, data analysis, and IT project management. Her research focuses on optimizing transportation routes for COVID-19 patients and cash logistics using tools like CPLEX, QGIS, and Python, and she has developed AI models to forecast urban solid waste generation and propose green logistics solutions for household waste collection. With over 70 citations across nine publications, her work has been presented at international conferences and published in journals such as IEEE Transactions on Engineering Management and Annals of Operations Research. Her h-index is 10, reflecting both productivity and impact in her field. She has received awards including the Perficio Award for Best Woman Entrepreneur of the Year and was a finalist for the IFROS Prize for Operational Research in Development. Fluent in English, French, and Arabic, she combines strong technical skills (CPLEX, MATLAB, Python, R, SQL, QGIS) with experience in teaching, project leadership, and applying AI-based decision models to real‐world sustainability challenges.

Profiles: Scopus | Orcid

Featured Publications

Alaya, H., Jammeli, H., Ben Abdelaziz, F., Masmoudi, M., & Verny, J. (2024). Sustainable logistics for transfer of COVID-19 patients: Lesson learned from France. International Transactions in Operational Research.

Jammeli, H., & Verny, J. (2024). A multi-objective model for two-level distribution system in the city of Paris. Annals of Operations Research. (Accepted for publication)

Jammeli, H., Khefacha, A., Sellei, B., & Verny, J. (2023, October 18–21). The impact of AI tools in education environment. In 2023 IEEE ASEE Frontiers in Education Conference, College Station, Texas.

Jammeli, H., Alaya, H., & Verny, J. (2023, October 23–25). An analysis of the role of the Internet of Things and sensor technologies in optimizing waste management in the city of Sousse, Tunisia . World Recycling Convention, Madrid, Spain.

Jammeli, H., & Verny, J. (2022). A literature review for green smart home delivery problem in urban environments. In 2022 International Conference on Decision Aid Sciences and Applications (DASA) (pp. 756–760). IEEE.