Ishraga Allam | Statistical Modeling and Simulation | Mathematical Statistics Award

Published on by Statistics

Mathematical Statistics Award

Ishraga Allam,
University of Khartoum, Khartoum, Sudan

Ishraga Allam
Affiliation University of Khartoum, Khartoum, Sudan
Country Egypt
Documents 207
Subject Area Analysis of Variance
Event World Statistics Awards
ORCID 0009-0005-7615-0077

The Mathematical Statistics Award recognizes research and scholarly contributions to statistical theory, quantitative analysis, and evidence-based interpretation. This article presents the supplied academic profile of Ishraga Allam, whose stated subject area is analysis of variance (ANOVA), and outlines the relevance of mathematical statistics to research and statistical practice. [1] [2]

Abstract

This article outlines the academic profile of Ishraga Allam in relation to mathematical statistics and analysis of variance. The supplied information identifies an institutional affiliation, an ORCID profile, and 207 reported documents. Publication-level evidence, citation metrics, and independently verified research outcomes are not provided; therefore, specific achievements require further verification. [1] [2]

Keywords

Mathematical statistics; analysis of variance; ANOVA; statistical inference; probability theory; quantitative research; statistical modelling; experimental design; data analysis; academic research. These terms describe the subject area and related methodological concepts rather than verified titles of the researcher’s individual publications. [1] [3]

Introduction

Mathematical statistics provides theoretical foundations for interpreting data, estimating parameters, testing hypotheses, and quantifying uncertainty. Analysis of variance (ANOVA) is widely used to examine differences among group means under appropriate assumptions. This article introduces Ishraga Allam’s supplied research profile and contextualizes the stated subject area within contemporary statistical practice. [1] [2]

Research Profile

Ishraga Allam is listed in the supplied information as affiliated with the University of Khartoum in Khartoum, Sudan, with ANOVA identified as the subject area. The profile reports 207 documents and provides an ORCID identifier for researcher discovery. Individual publication records, research appointments, and bibliometric indicators should be checked against authoritative sources. [1] [3]

Research Contributions

Research in mathematical statistics can contribute methods for experimental design, hypothesis testing, model evaluation, and reliable interpretation of quantitative evidence. ANOVA supports comparisons across multiple groups when its assumptions and study design are suitable. Specific contributions attributable to Ishraga Allam cannot be established from the supplied profile alone and require examination of individual studies. [2] [3]

Publications

The supplied profile reports 207 documents associated with the researcher; however, a complete bibliography, publication titles, journal names, publication dates, and DOI identifiers were not provided. Individual records should be verified through the researcher’s ORCID profile and relevant scholarly databases before citation. No specific publication or DOI is attributed here without supporting bibliographic evidence. [1] [4]

Research Impact

Research impact may be assessed through citation patterns, methodological reuse, collaboration, reproducibility, and documented applications in scientific or practical settings. The reported document count offers one preliminary indicator of research activity but does not independently establish influence or quality. Citation totals, h-index, and evidence of practical outcomes remain unavailable for this profile. [1] [2]

Award Suitability

The Mathematical Statistics Award may be relevant to researchers whose verified work advances statistical theory, analytical techniques, or applications of quantitative methods. The stated ANOVA subject area provides a potential point of alignment. A fair assessment of Ishraga Allam’s suitability requires publication verification, evidence of originality, documented research impact, and evaluation against the award’s official criteria. [2] [4]

Conclusion

Ishraga Allam’s supplied profile connects the researcher with the University of Khartoum and identifies ANOVA as a relevant subject area. The reported document count provides preliminary bibliometric context, while further evidence is needed to establish specific contributions and impact. Verified records and transparent assessment criteria are essential for responsible academic recognition. [1] [2]

References

  1. ORCID. (n.d.). ORCID record for Ishraga Allam. ORCID. The identifier was supplied in the source information; the record’s contents should be consulted to verify biographical and publication details.

    https://orcid.org/0009-0005-7615-0077

  2. Allam, I. M. A. (2026). A comparative study of Gabriel’s multiple comparison test: C implementation vs Python implementation

    https://doi.org/10.13140/RG.2.2.28684.88967

  3. Allam, I. M. A. (2026, March 9). A Python implementation of the Kaplan–Meier estimator for survival analysis.

    https://doi.org/10.13140/RG.2.2.12808.07686

  4. Allam, I. M. A. (2026, September 19). Hazen proportion estimation: A research paper on formula, implementation, and applications.

    https://doi.org/10.13140/RG.2.2.25427.95525

Safaa Najah Saud Al-humairi | Design of Experiments | Editorial Board Member

Published on by Statistics

Editorial Board Member

Safaa Najah Saud Al-humairi,
Management and Science University.

Safaa Najah Saud Al-humairi is a researcher affiliated with Management and Science University, Malaysia. Her stated research subject area is nanotechnology. Her scholarly profile reports 3,108 citations, an h-index of 32, and an i10-index of 73, according to the supplied profile information. [1]

Safaa Najah Saud Al-humairi
Affiliation Management and Science University
Country Malaysia
Citations 3,108
h-index 32
i10-index 73
Subject Area Nanotechnology
Event World Statistics Award

Abstract

This article presents the academic profile of Safaa Najah Saud Al-humairi, affiliated with Management and Science University in Malaysia. The supplied information identifies nanotechnology as her subject area and reports 3,108 citations, an h-index of 32, and an i10-index of 73. These indicators provide a bibliometric overview, subject to verification against the original scholarly profile. [1]

Keywords

Safaa Najah Saud Al-humairi, nanotechnology, research profile, bibliometrics, citation analysis, h-index, i10-index, scholarly publications, academic recognition, Management and Science University, Malaysia, World Statistics Award. [1]

Introduction

Safaa Najah Saud Al-humairi is presented as a researcher affiliated with Management and Science University in Malaysia, with nanotechnology identified as her subject area. Her scholarly profile provides a basis for examining research visibility through citation indicators. This article summarizes the supplied information while distinguishing reported metrics from independently verified academic records. [1]

Research Profile

The supplied profile associates Safaa Najah Saud Al-humairi with Management and Science University and identifies nanotechnology as her research subject. Reported bibliometric indicators include 3,108 citations, an h-index of 32, and an i10-index of 73. These figures describe citation activity but do not independently establish publication quality, research methods, or individual contributions. [1]

Research Contributions

Nanotechnology encompasses research involving materials and systems at very small scales, with applications across multiple scientific and technological fields. The supplied profile identifies this broad subject area but does not specify individual studies, methods, or discoveries attributable to the researcher. Specific contributions should therefore be described using verified publications, abstracts, and documented research findings. [1]

Publications

The researcher’s Google Scholar profile provides a starting point for reviewing indexed scholarly publications, co-authorship, and citation activity. However, a complete publication list, article titles, journal details, publication dates, and DOI identifiers were not included in the supplied information. Individual publications should be checked against their original publisher records before being listed or cited as evidence of research output. [1]

Research Impact

The supplied bibliometric figures report 3,108 citations, an h-index of 32, and an i10-index of 73. Citations can indicate that scholarly work has been referenced by other publications, while the h-index reflects publication and citation performance together. These indicators vary by database and date and should be interpreted alongside research quality, field norms, and documented contributions. [1]

Award Suitability

The World Statistics Award provides the stated recognition context for this academic profile. The researcher’s reported citation indicators may serve as supporting information during an assessment, but they do not alone establish eligibility or award merit. A fair evaluation should consider verified publications, methodological rigor, relevance to the award criteria, documented contributions, and the accuracy of the submitted academic record. [1] [2]

Conclusion

Safaa Najah Saud Al-humairi’s supplied academic profile identifies an affiliation with Management and Science University in Malaysia and a subject area of nanotechnology. Reported citation indicators offer an initial view of scholarly visibility. Further assessment requires verification of publication records, research contributions, institutional details, and alignment with the World Statistics Award’s published recognition criteria. [1] [2]

References

  1. Google Scholar. (n.d.). Scholar profile: Safaa Najah Saud Al-humairi. Profile and bibliometric information supplied for this article. Retrieved October 21, 2026.

    https://scholar.google.com/citations?user=k3ISRbcAAAAJ&hl=en&oi=ao

  2. Saud, S. N., Hamzah, E., Abubakar, T., Bakhsheshi-Rad, H. R., Yusop, M. Z., & Tanemura, M. (2014). Effects of Mn additions on the structure, mechanical properties, and corrosion behavior of Cu-Al-Ni shape memory alloys. Journal of Materials Engineering and Performance.

    https://doi.org/10.1007/s11665-014-1134-1

  3. Wahid, M. A., Hosseini, S. E., Hussen, H. M., Akeiber, H. J., Saud, S. N., & Mohammad, A. T. (2017). An overview of phase change materials for construction architecture thermal management in hot and dry climate region.

    https://doi.org/10.1016/j.applthermaleng.2016.07.032

Miguel Ferrer | Operations Research and Statistical Optimization | Innovative Research Award

Published on by Statistics

Innovative Research Award

Miguel Ferrer,
Spanish National Research Council.

Miguel Ferrer
Affiliation Spanish National Research Council
Country Spain
Scopus ID 7202505400
Documents 198
Citations 6,853
h-index 48
Subject Area Biologia
Event World Statistics Awards
ORCID 0000-0003-0092-8450

Miguel Ferrer is a Spain-based researcher affiliated with the Spanish National Research Council whose documented work includes applied ecological research, raptor conservation, reintroduction, population management, and quantitative approaches to conservation problems. His publication record includes studies involving predictive modelling, field-based analysis, and evidence-driven management of threatened birds. [1]

Abstract

Miguel Ferrer’s research profile encompasses ecological investigation, raptor conservation, reintroduction programmes, population management, and quantitative approaches to environmental decision-making. His published work demonstrates the use of field observations, statistical analysis, predictive modelling, and long-term datasets to examine conservation challenges. His research includes studies of Spanish imperial eagles, white-tailed eagles, vultures, and bird mortality associated with electrical infrastructure. [1] [2]

Keywords

Miguel Ferrer; ecological research; conservation biology; raptor ecology; predictive modelling; reintroduction; population management; statistical analysis; biodiversity; Spanish imperial eagle; bird conservation; environmental research.

Introduction

Miguel Ferrer’s research is situated within applied ecology and conservation science, with particular attention to raptors and threatened bird populations. His studies combine ecological observations, quantitative analysis, and management-oriented investigation to address conservation questions. Published research has examined reintroduction practices, demographic processes, nutritional condition, and threats affecting birds in managed landscapes. [2]

Research Profile

Ferrer’s documented research profile includes long-term ecological studies and applied conservation research conducted through the Estación Biológica de Doñana and the Spanish National Research Council. His work covers raptor biology, conservation management, reintroduction, dispersal, reproduction, and environmental risk assessment. Bibliographic records identify his participation in multidisciplinary studies involving ecological datasets and quantitative research methods. [1] [3]

Research Contributions

His contributions include research on supplementary feeding and raptor reintroduction, juvenile dispersal, breeding processes, nutritional condition, and conservation interventions. More recent work has applied predictive modelling to identify patterns of bird electrocution across electrical networks, demonstrating how quantitative models can support prioritisation of conservation measures. These studies connect ecological evidence with practical conservation planning. [3] [4]

Publications

Ferrer has contributed to peer-reviewed publications covering avian ecology and conservation. Selected works include research on reintroducing endangered raptors, the health and nutritional status of white-tailed eagle nestlings, and modelling approaches for reducing bird electrocutions. These publications illustrate the integration of empirical datasets, statistical reasoning, ecological interpretation, and conservation applications. [2] [4]

Research Impact

The reported bibliometric profile lists 198 documents, 6,853 citations, and an h-index of 48. These supplied metrics provide a quantitative description of the researcher’s indexed publication and citation record. His research has also addressed practical conservation questions, including reintroduction strategies and identification of high-risk electrical infrastructure, linking scientific analysis with potential management applications. [1] [4]

Award Suitability

For the Innovative Research Award, Ferrer’s documented record provides evidence of sustained research activity involving ecological datasets, quantitative modelling, conservation analysis, and interdisciplinary collaboration. His publications address established environmental problems through empirical and analytical approaches. The supplied bibliometric indicators further document an extensive indexed research record relevant to evaluating scholarly productivity and research contributions. [1] [3]

Conclusion

Miguel Ferrer’s research record reflects sustained engagement with applied ecology, raptor conservation, quantitative analysis, and evidence-based environmental management. His publications demonstrate research across reintroduction, population ecology, animal health, and conservation risk modelling. Together with the supplied bibliometric indicators, these documented activities provide a structured basis for academic recognition under the Innovative Research Award category. [1] [4]

References

  1. Ferrer, M., Evans, R., Hedley, J., Hollamby, S., Meredith, A., Morandini, V., Selly, O., Smith, C., & Whitfield, D. P. (2023). Hacking techniques improve health and nutritional status of nestling White-tailed Eagles. Ecology and Evolution, 13(2), e9776.

    https://doi.org/10.1002/ece3.9776

  2. Ferrer, M., Morandini, V., Baguena, G., & Newton, I. (2018). Reintroducing endangered raptors: A case study of supplementary feeding and removal of nestlings from wild populations. Journal of Applied Ecology, 55(3), 1360–1367.

    https://doi.org/10.1111/1365-2664.13014

  3. Morandini, V., Dietz, S., Newton, I., & Ferrer, M. (2019). The role of age of first breeding in modeling raptor reintroductions. Ecology and Evolution, 9(5), 2978–2985.

    https://doi.org/10.1002/ece3.4979

  4. Ferrer, M., Florencio, C., Muriel, R., Morandini, V., & García-Macía, J. (2026). How to prioritize measures to reduce the electrocutions of birds in distribution power line networks. Global Ecology and Conservation, 69, e04318.

    https://doi.org/10.1016/j.gecco.2026.e04318

Jonghoek Kim | Statistical Applications in Engineering | Innovative Research Award

Published on by Statistics

Innovative Research Award

Jonghoek Kim
Affiliation Sejong University
Country South Korea
Scopus ID 34872607400
Documents 138
Citations 1,157
h-index 19
Subject Area Statistics
Event World Statistics Awards
ORCID 0000-0001-7565-068X

Jonghoek Kim,
Sejong University.

Jonghoek Kim of Sejong University, South Korea, is presented in this academic recognition profile in connection with the Innovative Research Award under the World Statistics Awards. The profile summarizes the supplied bibliometric indicators, research orientation, scholarly contributions, publication activity, and potential suitability for recognition in statistics. [1]

Abstract

This academic profile documents Jonghoek Kim’s research standing at Sejong University within the field of Statistics. The supplied record identifies 138 documents, 1,157 citations, and an h-index of 19. The profile considers scholarly contributions, publication activity, research impact, and alignment with the Innovative Research Award. [1]

Keywords

  • Jonghoek Kim
  • Statistics
  • Statistical Research
  • Innovative Research
  • Research Impact
  • Sejong University
  • World Statistics Awards

Introduction

Jonghoek Kim is affiliated with Sejong University in South Korea and is identified with the academic field of Statistics. His scholarly profile is characterized by a substantial indexed publication record and measurable citation activity. The Innovative Research Award recognizes research development, methodological contribution, and sustained academic engagement in statistics. [1]

Research Profile

The supplied research profile records Jonghoek Kim with 138 documents, 1,157 citations, and an h-index of 19. These indicators provide bibliometric evidence of continuing scholarly productivity and citation visibility. His institutional affiliation with Sejong University and subject classification in Statistics establish the principal academic context for this recognition profile. [1]

Research Contributions

Kim’s documented scholarly record indicates sustained contributions within statistics and related quantitative research. His publication volume and citation record suggest engagement with research questions requiring systematic statistical analysis and evidence-based interpretation. Assessment of specific methodological innovations should rely on individual publications, datasets, and peer-reviewed findings rather than bibliometric indicators alone. [1]

Publications

Jonghoek Kim’s supplied Scopus record contains 138 indexed documents, indicating an established publication history. Individual article titles, journals, publication years, and DOI identifiers were not supplied with the profile data; therefore, specific publication claims and DOI assignments are not inferred here. Bibliographic verification should be performed against authoritative publication records. [1]

Research Impact

The reported citation count of 1,157 and h-index of 19 provide quantitative indicators of the visibility and scholarly influence associated with Kim’s indexed research. Such measures can support an assessment of research impact, while interpretation should also consider field differences, publication age, collaboration patterns, and the substantive significance of individual studies. [1]

Award Suitability

Based on the supplied profile, Kim appears academically aligned with an Innovative Research Award focused on Statistics, particularly because of his documented publication activity, citation record, and sustained research engagement. Final award suitability should be determined through formal evaluation of research originality, methodological quality, publications, broader impact, and the applicable award criteria. [1] [4]

Conclusion

Jonghoek Kim’s supplied academic indicators describe an established researcher associated with Sejong University and the field of Statistics. His 138 documents, 1,157 citations, and h-index of 19 provide measurable evidence of scholarly activity and visibility. These indicators support consideration for recognition, subject to comprehensive review of research quality and originality. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Jonghoek Kim, Author ID 34872607400. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=34872607400

  2. ORCID. (n.d.). Jonghoek Kim — ORCID record. ORCID.

    https://orcid.org/0000-0001-7565-068X

  3. Google Scholar. (n.d.). Jonghoek Kim — Google Scholar profile.

    https://scholar.google.com/citations?user=0t1uQMgAAAAJ&hl=en&oi=ao

  4. World Statistics Awards. (n.d.). World Statistics Awards.

    https://statisticsaward.com/

Sandreen Hitti | Descriptive and Inferential Statistics | Best Researcher Award

Published on by Statistics

Best Researcher Award

Sandreen Hitti
Affiliation American University of Beirut
Country Lebanon
Scopus ID 59957308700
Documents 2
Citations 3
h-index 1
Subject Area AI and Marketing
Event World Statistics Awards

Sandreen Hitti,
American University of Beirut.

Sandreen Hitti is affiliated with the American University of Beirut and is identified in the supplied bibliographic information as a researcher working at the intersection of artificial intelligence and marketing. Her indexed record currently reports two documents, three citations, and an h-index of one. [1]

Abstract

Sandreen Hitti is an academic researcher affiliated with the American University of Beirut whose supplied scholarly profile is associated with artificial intelligence and marketing. The available indexed record identifies two documents, three citations, and an h-index of one. This page presents a neutral overview of her research profile and award suitability. [1]

Keywords

  • Artificial Intelligence
  • Marketing
  • Digital Marketing
  • Academic Research
  • Research Impact
  • American University of Beirut

Introduction

Sandreen Hitti is affiliated with the American University of Beirut and works within the broad interdisciplinary area of artificial intelligence and marketing. Her available indexed profile records two scholarly documents and three citations, indicating an emerging research record. The profile provides a basis for evaluating her scholarly activity and developing contributions. [1]

Research Profile

Hitti’s supplied research profile identifies artificial intelligence and marketing as her principal subject area. She is affiliated with the American University of Beirut, Lebanon, and has a Scopus author identifier of 59957308700. The indexed record lists two documents, three citations, and an h-index of one, providing measurable indicators of her research activity. [2]

Research Contributions

Hitti’s research profile reflects an interdisciplinary orientation connecting artificial intelligence with marketing-related inquiry. Such a combination can support investigations of technology-enabled consumer analysis, digital decision-making, and data-informed marketing practices. Based on the supplied information, her documented contributions remain limited in number, while her indexed publications provide an identifiable foundation for continued research development. [3]

Publications

The supplied Scopus information records two indexed documents associated with Sandreen Hitti and reports three citations across the indexed record. Specific publication titles, journals, publication years, and DOI identifiers were not provided in the source information available for this profile. Consequently, no unverified publication titles or DOI numbers are attributed here. [2]

Research Impact

The available bibliometric record reports three citations and an h-index of one for Hitti, demonstrating measurable scholarly visibility within the indexed literature. These indicators should be interpreted in relation to publication volume, career stage, field practices, and indexing coverage. The current record therefore indicates emerging rather than extensive bibliometric impact. [3]

Award Suitability

Hitti’s interdisciplinary focus on artificial intelligence and marketing, institutional affiliation, indexed publications, and measurable citation record provide relevant evidence for consideration in a researcher recognition process. Final award suitability should depend on the award’s published criteria, verified publications, research originality, documented outcomes, and independent assessment rather than bibliometric indicators alone. [1]

Conclusion

Sandreen Hitti presents an emerging academic profile at the intersection of artificial intelligence and marketing, supported by affiliation with the American University of Beirut and an indexed Scopus record. Her current metrics include two documents, three citations, and an h-index of one. Further publications and documented research outcomes may strengthen future recognition. [2]

References

  1. Elsevier. (n.d.). Scopus author details: Sandreen Hitti, Author ID 59957308700. Scopus.

    https://www.scopus.com/pages/authors/59957308700

  2. Google Scholar. (n.d.). Sandreen Hitti: Google Scholar profile.

    https://scholar.google.com/citations?user=0AL_z1QAAAAJ&hl=en

  3. Hitti, S., & Ramadan, A. (2026). Humanizing the customer experience with AI chatbots: A study in the food services industry toward achieving SDG 11 and SDG 12. Journal of Business and Socio-economic Development.

    https://doi.org/10.1108/JBSED-05-2025-0153

Deniz Bingöl | Design of Experiments | Innovative Research Award

Published on by Statistics

Innovative Research Award

Deniz Bingöl,
Kocaeli University.

Deniz Bingöl
Affiliation Kocaeli University
Country Turkey
Scopus ID 6506971252
Documents 51
Citations 1,891
h-index 24
Subject Area Modification methods for agricultural waste materials
Event World Statistics Awards
ORCID 0000-0002-9396-2422

Deniz Bingöl is a researcher affiliated with Kocaeli University whose scholarly profile reflects sustained activity in research concerning innovative modification approaches for agricultural waste materials. Available bibliometric information records 51 documents, 1,891 citations, and an h-index of 24, providing measurable indicators of research productivity and scholarly visibility in relevant academic fields.[1] [2]

Abstract

Deniz Bingöl’s research profile is associated with innovative approaches to modifying agricultural waste materials, emphasizing scientific investigation of materials with potential research and practical relevance. Bibliometric indicators provide evidence of an established scholarly record, while the researcher’s institutional and persistent identifiers support transparent academic attribution and verification across research information systems.[1] [2]

Keywords

  • Agricultural waste materials
  • Material modification
  • Innovative research
  • Sustainable materials
  • Research impact
  • Scientific innovation

Introduction

Agricultural waste represents an important research resource because its physical and chemical characteristics can be investigated for improved material applications. Research on modification methods seeks to enhance useful properties while supporting resource efficiency and sustainable scientific practice. Bingöl’s research area aligns with this broader interdisciplinary objective, connecting agricultural residues with innovative materials research.[1]

Research Profile

Deniz Bingöl is affiliated with Kocaeli University and has an indexed scholarly profile identified through Scopus Author ID 6506971252 and ORCID 0000-0002-9396-2422. The available record contains 51 documents, 1,891 citations, and an h-index of 24, indicating sustained publication activity and measurable academic visibility within indexed research literature and scholarly databases.[1] [2]

Research Contributions

The stated research specialization focuses on developing new modification methods for agricultural waste materials. Such work can contribute to understanding how treatment or modification influences material characteristics, functionality, and potential utilization. From an academic perspective, this research direction supports investigation of resource-derived materials while encouraging approaches that connect scientific experimentation with sustainable material development and innovation.[1]

Publications

The researcher’s indexed publication record comprises 51 documents according to the supplied Scopus profile information. Individual publication titles, journals, years, citation histories, and digital identifiers should be verified directly against authoritative bibliographic records before formal citation. Where applicable, DOI identifiers provide persistent access to individual scholarly publications and support accurate bibliographic verification across academic databases.[1] [3]

Research Impact

Bingöl’s reported bibliometric indicators include 1,891 citations and an h-index of 24, offering quantitative measures of scholarly visibility and citation influence. These indicators should be interpreted alongside publication quality, research originality, collaboration, and disciplinary context rather than independently. Together, the available metrics indicate an established research presence within indexed academic literature and scholarly communication.[1]

Award Suitability

The Innovative Research Award can be considered in relation to Bingöl’s research focus, documented publication activity, and work involving modification methods for agricultural waste materials. The combination of a defined innovation-oriented subject area and established bibliometric record provides relevant evidence for consideration. Final recognition should remain dependent on the award’s official evaluation criteria and submitted supporting documentation.[1]

Conclusion

Deniz Bingöl presents a documented academic profile connected with Kocaeli University and research concerning innovative modification methods for agricultural waste materials. The reported record of 51 documents, 1,891 citations, and an h-index of 24 provides measurable evidence of scholarly activity. These characteristics support consideration for recognition while maintaining appropriate academic verification standards.[1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Deniz Bingöl, Author ID 6506971252. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=6506971252

  2. ORCID. (n.d.). ORCID record: Deniz Bingöl. ORCID.

    https://orcid.org/0000-0002-9396-2422

  3. Google Scholar. (n.d.). Deniz Bingöl — Google Scholar profile.

    https://scholar.google.com.tr/citations?user=R_4iEIkAAAAJ&hl=tr&oi=ao

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

Published on by Statistics

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

Chokri Aloui | Operations Research and Statistical Optimization | Research Excellence Award

Published on by Statistics

Dr. Chokri Aloui | Operations Research and Statistical Optimization | Research Excellence Award

University of Sousse | Tunisia

Dr. Chokri Aloui is an Assistant Professor at the Faculty of Economics and Management, University of Sousse, and a researcher at the Laboratory of Research in Innovation Management and Sustainable Development, Sousse Higher Institute of Management, specializing in microeconomics, industrial organization, platform and network economics, environmental economics, and the economic appraisal of development projects. He holds a Ph.D. in Economics from Sousse University, preceded by a Master’s degree from Tunisia Polytechnic School and a Bachelor’s degree from Jendouba University, and his academic trajectory reflects a consistent focus on network externalities, two-sided markets, competition, and digital economy dynamics. His teaching portfolio spans industrial economics, microeconomics at various levels, game theory, markets and strategies, development project appraisal, and business simulation, demonstrating broad expertise across applied and theoretical microeconomics. His research contributions include influential works on platform capacity sharing, congestion pricing, net neutrality, corporate social responsibility in two-sided platforms, and environmental certification within international trade, published in journals such as Economic Modelling, Networks and Spatial Economics, Managerial and Decision Economics, the International Review of Economics, and The Manchester School. Across his scholarly output, he has produced multiple peer-reviewed articles and maintains an active presence on platforms such as Google Scholar and ResearchGate. His Scopus profile reports approximately 43 citations, an h-index of 3, and a set of documents reflecting his ongoing research productivity. Overall, Chokri Aloui stands out as a researcher whose work integrates rigorous modeling with practical economic policy implications, contributing meaningfully to the understanding of digital markets, innovation, environmental responsibility, and development-oriented economic assessments.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Weijia Han | Design of Experiments (DOE) | Research Excellence Award

Published on by Statistics

Assoc Prof. Dr. Weijia Han | Design of Experiments (DOE) | Research Excellence Award

Wuhan Textile University | China

Assoc Prof. Dr. Weijia Han is an accomplished researcher in physics, materials science, and microelectronics, currently serving as a Lecturer at the School of Microelectronics, Wuhan Textile University, China. He has developed a strong international academic background through his roles as a Postdoctoral Researcher in Experimental Physics and Functional Materials at the Brandenburg University of Technology in Germany, a Guest Scientist at the Leibniz Institute for High Performance Microelectronics in Frankfurt (Oder), and a Research Associate at Osnabrück University as well as the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He holds a PhD in Physical Chemistry from Osnabrück University, a Master’s degree in Applied Physics from Xiangtan University, and a Bachelor’s degree in Physics from Huanggang Normal University. His research focuses on plasmonic and photonic nanostructures, including plasmonic titanium nitride nanohole arrays, metamaterial narrowband absorbers, graphene-based composites, and insect-inspired nanostamping technologies. His work spans design, simulation, nanofabrication, and extensive optical and structural characterization, using tools such as electron microscopy, atomic force microscopy, Raman imaging, X-ray diffraction, FTIR, spectroscopy, and advanced photocurrent measurement systems. He has contributed significantly to several national and international projects involving on-chip optical sensors, CMOS-compatible plasmonic devices, and refractive-index sensor engineering. His scholarly output includes numerous peer-reviewed publications in high-impact journals, and his research performance is reflected in an h-index of 4, with approximately 49 citations across over 11 scientific documents, demonstrating strong global visibility and influence. In addition, he is co-inventor on a Chinese patent related to black phosphorus flake preparation. Known for his creativity, analytical strengths, and problem-solving skills, he is highly self-motivated, collaborative, and deeply committed to innovation in electronic engineering, sensor technology, and advanced material systems.

Profiles: Scopus | Google Scholar 

Featured Publications

Vikas Mehta | Statistical Computing and Programming | Research Excellence Award

Published on by Statistics

Dr. Vikas Mehta | Statistical Computing and Programming | Research Excellence Award

Korean National Institute for International Education | South Korea

Dr. Vikas Mehta is a structural engineer and researcher specializing in seismic performance optimization, sustainable construction materials, and the application of advanced computational and machine learning methodologies to civil infrastructure systems. He completed his Ph.D. in Civil Engineering at Keimyung University, South Korea, where his award-winning doctoral research introduced innovative modifier-based and data-driven techniques for improving shear strength prediction and design accuracy in reinforced concrete beam-column joints. His expertise spans nonlinear finite element modeling, fragility analysis, physics-informed and graph-based machine learning, geospatial analytics, and performance-based seismic assessment, supported by strong proficiency in ETABS, OpenSees, SeismoSoft, Abaqus, MATLAB, Q-GIS, SPSS, Python, PyTorch, WEKA, and OriginPro. Dr. Mehta serves as a Postdoctoral Researcher at the Chonnam National University R&BD Foundation, contributing to advanced safety technologies for nuclear power plant structures under extreme hazard scenarios, including buckling resistance enhancement, retrofit optimization, and complex wind–terrain interaction studies. His professional background includes academic appointments in structural and construction engineering, where he taught subjects in earthquake engineering, finite element analysis, and structural systems while supervising graduate research and contributing to curriculum and laboratory development. Dr. Mehta has authored a substantial body of SCI-indexed research on seismic damage prediction, torsional behavior modeling, hybrid AI-mechanics frameworks, recycled and sustainable materials, computational methods, and structural performance evaluation, complemented by multiple patents in construction materials, damping devices, and waste-based composites. He has presented at leading international and national conferences and contributed to funded collaborative research, including projects involving global academic and industry partners. His professional affiliations include membership in ASCE, the Institute of Physics (AMInstP), IAEME (Fellow), and licensure as a Class-A engineer under the Himachal Pradesh Town and Country Planning Act. Dr. Mehta’s contributions to structural engineering and computational mechanics continue to gain international visibility, reflected in an h-index of 7, over 172 citations, and more than 19 published documents, underscoring his growing influence in machine learning–driven structural design, seismic resilience, and sustainable construction innovation.

Profiles: Scopus | Orcid

Featured Publications

Mehta, V., Jang, S. H., & Chey, M. H. (2025). Corrigendum to “Adaptive simulation and data-driven hybrid modeling for predicting shear strength and failure modes of interior reinforced concrete beam-column joints”.

Mehta, V., Jang, S. H., & Chey, M. H. (2025). Predictive framework for shear strength and failure modes of exterior reinforced concrete beam–column joints using machine learning. Structural Concrete. h.

Sagar, G. S., Mukthi, S., & Mehta, V. (2025). Analyzing compressive, flexural, and tensile strength of concrete incorporating used foundry sand: Experimental and machine learning insights. Archives of Computational Methods in Engineering.

Mehta, V., Thakur, M. S., & Chey, M. H. (2025). Enhancing seismic design accuracy of RC beam-column joints: Modifier-based approach for shear strength predictions. Structures.

Mehta, V., Jang, S. H., & Chey, M. H. (2025). Adaptive simulation and data-driven hybrid modeling for predicting shear strength and failure modes of interior reinforced concrete beam-column joints. Structures.