Ayed Alluqmani | Environmental and Sustainable Materials | Young Scientist Award

Published on by Research Scientist

Best Researcher Award

Ayed Alluqmani – Islamic University of Madinah, Saudi Arabia

Ayed Alluqmani
Affiliation Islamic University of Madinah
Country Saudi Arabia
Scopus ID 58112566700
Documents 73
Citations 1,357
h-index 17
ORCID 0000-0002-6204-7803
Subject Area Environmental and Sustainable Materials
Event International Research Scientist Awards

Ayed Alluqmani is a researcher affiliated with the Islamic University of Madinah in Saudi Arabia. His supplied research profile records publications and citation activity associated with his scholarly work. His subject area is identified as Environmental and Sustainable Materials, a field concerned with material performance, resource efficiency, environmental protection, and sustainable technologies. His bibliometric indicators provide quantitative context for examining his research output and scholarly visibility. The Best Researcher Award profile recognizes his research background within the context of the International Research Scientist Awards, with further evaluation dependent on publication quality, verified records, originality, and relevance to the field.

Abstract

Ayed Alluqmani, affiliated with the Islamic University of Madinah, Saudi Arabia, is associated with research in Environmental and Sustainable Materials. His supplied bibliometric profile lists 73 documents, 1,357 citations, and an h-index of 17. These indicators provide a quantitative overview of his recorded scholarly output and citation influence, although they do not independently establish research quality or societal impact. His profile is considered in relation to the Best Researcher Award presented through the International Research Scientist Awards. Assessment of his suitability should consider publication originality, methodological rigor, reproducibility, collaboration, and the contribution of his research to sustainable materials development and environmental objectives.

Keywords

Environmental and sustainable materials; sustainable materials science; environmentally friendly materials; materials engineering; green materials; resource efficiency; environmental sustainability; sustainable material development; research productivity; citation analysis; scholarly impact; scientific publications; materials innovation; sustainable technologies; environmental research.

Introduction

Ayed Alluqmani’s research profile is associated with the broad subject area of Environmental and Sustainable Materials. This interdisciplinary domain investigates how materials can be designed, evaluated, and applied to reduce environmental burdens while maintaining useful performance. Relevant research considerations include resource consumption, durability, recyclability, waste reduction, and lifecycle impacts. His supplied bibliometric information offers a starting point for examining his scholarly activity. A detailed assessment of individual publications is necessary to establish the specific materials, methods, and applications represented in his research record. [1] [2]

Research Profile

Ayed Alluqmani is affiliated with the Islamic University of Madinah in Saudi Arabia. The supplied profile identifies Scopus author ID 58112566700 and ORCID 0000-0002-6204-7803 as researcher identifiers. It records 73 documents, 1,357 citations, and an h-index of 17. These values are reported as provided and should be checked against the current records of the relevant databases because indexing coverage and citation counts may change over time. [1] [2]

Research Contributions

Research in Environmental and Sustainable Materials can support the development of materials and processes that balance functional performance with environmental responsibility. Potential research dimensions include efficient use of raw materials, reduced waste, improved durability, recycling strategies, and assessment of environmental impacts across product lifecycles. These themes describe the wider field rather than verified findings from a specific publication by Ayed Alluqmani. Identifying his individual contributions requires examining the methods, results, and conclusions of his published studies. [3]

Publications

The supplied bibliometric information lists 73 documents attributed to Ayed Alluqmani. A comprehensive publication review should verify authorship, article titles, publication venues, publication dates, and persistent identifiers against authoritative records. Particular attention should be given to original research articles, review papers, and studies relevant to environmental performance and sustainable materials. Individual titles and digital object identifiers are not included here because a verified publication list was not supplied. The linked researcher profiles provide starting points for locating indexed publications and confirming bibliographic details. [1] [2]

Research Impact

The supplied record reports 1,357 citations and an h-index of 17, providing quantitative indicators of scholarly attention and publication performance. Citation measures can help contextualize a researcher’s visibility, but they vary by discipline, publication age, database coverage, and collaboration patterns. A balanced assessment should also examine research reproducibility, methodological quality, practical applications, and contributions to environmental sustainability. The reported indicators should therefore be interpreted alongside publication-level evidence rather than treated as a complete measure of academic merit. [1] [4]

Award Suitability

Ayed Alluqmani’s supplied research indicators and stated subject area provide relevant starting points for consideration for the Best Researcher Award under the International Research Scientist Awards. A fair evaluation should examine the originality and quality of his work, the significance of individual findings, publication integrity, and relevance to environmental and sustainable materials research. Citation statistics may inform the assessment but should not replace expert review. This profile does not establish that an award has been granted; any nomination outcome or recognition status should be confirmed through official event communications.

Conclusion

Ayed Alluqmani’s profile identifies an affiliation with the Islamic University of Madinah and a research focus described as Environmental and Sustainable Materials. The supplied bibliometric record lists 73 documents, 1,357 citations, and an h-index of 17. These indicators offer an overview of recorded scholarly activity, while a complete evaluation requires verification of indexed records and examination of individual research contributions. Consideration for the Best Researcher Award should be grounded in transparent criteria, publication quality, originality, and demonstrable academic or practical significance within the relevant field.

References

  1. Elsevier. (n.d.). Scopus author profile: Ayed Alluqmani. Scopus. The author identifier supplied in the research profile is 58112566700; the provided Scopus profile link uses a different identifier, 55622739300, and requires verification before the two records can be considered equivalent.
    https://www.scopus.com/authid/detail.uri?authorId=55622739300
  2. ORCID. (n.d.). Ayed Alluqmani: ORCID researcher record. ORCID provides persistent researcher identifiers to help distinguish scholarly authors and connect research outputs.
    https://orcid.org/0000-0002-6204-7803
  3. United Nations Environment Programme. (2023). Global Resources Outlook 2024: Bend the trend—Pathways to a liveable planet as resource use spikes. International Resource Panel. This report provides broader context for resource efficiency and the environmental implications of materials use.
    https://www.resourcepanel.org/reports/global-resources-outlook-2024
  4. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572. https://doi.org/10.1073/pnas.0507655102
  5. Google. (n.d.). Google Scholar: Ayed Alluqmani search profile. Google Scholar offers a searchable index of scholarly literature and author profiles. The completeness and accuracy of individual profile records should be checked against publication sources.
    https://scholar.google.com/citations?user=PxjXqzQAAAAJ&hl=en&oi=sra

Zeeshan Ali Syed | Economics, Econometrics and Finance | Innovative Research Award

Published on by Research Scientist

Innovative Research Award

Zeeshan Ali Syed — University of Salford, United Kingdom

Zeeshan Ali Syed
Affiliation University of Salford, Salford Business School
Country United Kingdom
Subject Area Economics, Econometrics and Finance
Event International Research Scientist Awards
ORCID 0000-0003-0116-5395

Zeeshan Ali Syed is a Lecturer in Finance at the University of Salford whose research connects finance, FinTech, sustainability, artificial intelligence, machine learning, financial inclusion, and capital structure. His recent work includes research on machine-learning-based portfolio management, green technology adoption, sustainable development and foreign investment, and AI-enabled regulatory compliance in financial institutions. His institutional profile identifies financial biodiversity, FinTech, financial inclusion, alternative data, and capital structure among his research interests.[1]

Abstract

Zeeshan Ali Syed is a finance academic at the University of Salford whose research examines contemporary intersections between financial decision-making, FinTech, sustainability, artificial intelligence, machine learning, and investment. His published work addresses cluster-based portfolio management, green technology adoption, sustainable development and foreign investment, and AI-supported regulatory compliance. These studies employ quantitative, empirical, and interdisciplinary approaches to investigate financial behaviour, technological transformation, sustainability incentives, and risk-management challenges. His research profile therefore reflects a developing programme connecting finance with emerging analytical technologies and responsible economic development. The breadth of these themes provides a coherent basis for consideration for an Innovative Research Award.[4]

Keywords

Clustering, unsupervised machine learning, portfolio management, modern portfolio theory, Monte Carlo simulation, financial risk, green technology adoption, environmentally responsible behaviour, sustainable entrepreneurship, foreign direct investment, sustainable development goals, gender parity, artificial intelligence, machine learning, regulatory compliance, RegTech, financial institutions, FinTech, financial inclusion, capital structure.[2]

Introduction

Zeeshan Ali Syed works within finance and economics while incorporating technological and sustainability-oriented perspectives into contemporary financial research. His institutional profile identifies him as a Lecturer in Finance, Programme Leader for FinTech, and researcher whose interests include financial biodiversity, FinTech, financial inclusion, alternative data, and capital structure. These areas place his scholarship within current debates concerning digital transformation and responsible finance.[1]

Research Profile

Zeeshan Ali Syed develops research around financial markets, FinTech, sustainability, artificial intelligence, machine learning, and investment decision-making. His portfolio-management research applies K-means clustering to identify groups of heterogeneous stocks and investigate differentiated risk-return characteristics. His sustainability research considers foreign investment incentives and sustainable enterprise, while other work examines AI and machine learning applications for regulatory compliance in financial institutions.[2][4]

Research Contributions

Zeeshan Ali Syed contributes to interdisciplinary finance research by linking quantitative investment methods with technological innovation and sustainability questions. His portfolio study demonstrates how unsupervised learning can support differentiated portfolio construction, while his work on green technology considers behavioural influences on adoption. Research on sustainable enterprise and regulatory compliance further extends this agenda toward policy, governance, and institutional decision-making.[3]

Publications

Zeeshan Ali Syed has contributed to research published across finance, business, technology, and sustainability domains. His recent portfolio-management article appeared in the International Review of Economics & Finance in 2026 and examines unsupervised machine learning and K-means clustering. His other publications address green technology adoption, sustainable development and foreign investment, and AI-enabled regulatory compliance in financial institutions.[5]

Research Impact

Zeeshan Ali Syed demonstrates research impact through the application of contemporary analytical methods to practical financial and sustainability problems. His 2026 portfolio study investigates market clustering and risk-return characteristics using unsupervised learning, while his regulatory-compliance research considers AI and machine learning within financial institutions. His work also connects sustainability research with investment behaviour and technological adoption.[2][4]

Award Suitability

Zeeshan Ali Syed presents a research profile relevant to an Innovative Research Award because his scholarship combines established financial theory with emerging computational techniques and sustainability perspectives. His documented work spans machine-learning-based portfolio management, green technology adoption, sustainable investment questions, and AI-supported compliance. Collectively, these themes demonstrate methodological breadth and relevance to evolving financial research challenges.[3]

Conclusion

Zeeshan Ali Syed has established a multidisciplinary research profile at the intersection of finance, FinTech, machine learning, artificial intelligence, sustainability, and investment. His recent publications demonstrate an effort to apply quantitative and computational approaches to practical economic questions. The combination of technological methods, financial analysis, and sustainability research provides a credible scholarly basis for consideration within an innovative research recognition framework.[2]

References

  1. University of Salford. (n.d.). Dr Zeeshan Syed: Research profile and biography. Salford Repository.
    https://salford-repository.worktribe.com/person/1173658/zeeshan-syed
  2. Rahman, M. M., Syed, Z. A., Akiotu, C. A., & Eskandari, R. (2026). How to Manage Portfolios in Different Clusters: An Unsupervised Machine Learning Approach. International Review of Economics & Finance, 108, 105309. https://doi.org/10.1016/j.iref.2026.105309
  3. Makeel, R., Syed, Z. A., & Zhao, S. (2025). Unlocking green technology adoption: exploring influential factors and the moderating influence of environmentally responsible behaviour. Behaviour & Information Technology. https://doi.org/10.1080/0144929X.2025.2515450
  4. Syed, Z., Okegbola, O., & Akiotu, C. A. (2025). Utilising Artificial Intelligence and Machine Learning for Regulatory Compliance in Financial Institutions. In Perspectives on Digital Transformation in Contemporary Business, pp. 269–296. https://doi.org/10.4018/979-8-3693-5966-2.ch010
  5. Syed, Z. A., Eskandari, R., Yazdifar, H., & Ogundele, B. O. (2024). Sustainable development and enterprise: do foreign investors care. Journal for International Business and Entrepreneurship Development, 15(4), 550–572. https://doi.org/10.1504/JIBED.2023.138091

Nazli Tokatli | Computer Science and Artificial Intelligence | Innovative Research Award

Published on by Research Scientist

Innovative Research Award

Nazli Tokatli — Istanbul Health and Technology University,  Turkey

Nazli Tokatli
Affiliation Istanbul Health and Technology University
Country Turkey
Scopus ID 57212214663
Documents 23
Citations 88
h-index 5
Subject area Computer Science and Artificial Intelligence
Event International Research Scientist Awards
ORCID 0000-0001-9840-4211

Nazli Tokatli is a researcher affiliated with Istanbul Health and Technology University, Turkey, whose scholarly profile is associated with computer science and artificial intelligence. The available bibliometric information records 23 documents, 88 citations, and an h-index of 5 in Scopus. These indicators provide a quantitative snapshot of indexed research output and citation activity, while the researcher’s publication record offers the appropriate basis for examining individual contributions, thematic interests, and scholarly relevance. The Innovative Research Award recognizes research-related achievements within the context of the International Research Scientist Awards. [1]

Abstract

Nazli Tokatli, affiliated with Istanbul Health and Technology University in Turkey, has a research profile associated with computer science and artificial intelligence. Scopus records 23 documents, 88 citations, and an h-index of 5, providing quantitative indicators of scholarly publication and citation activity. This article summarizes the available profile information and outlines how research contributions may be assessed through publication relevance, methodological rigor, reproducibility, and potential applications. The Innovative Research Award provides a recognition framework for examining research achievements. Detailed assessment requires verification of individual publications, their subject matter, and documented contributions to the relevant scientific fields. [2]

Keywords

Computer science, artificial intelligence, machine learning, computational methods, intelligent systems, data analysis, algorithm development, and research innovation. These terms describe potential indexing categories rather than verified subjects of specific publications. The final keyword selection should be refined against the titles, abstracts, and keywords of the researcher’s indexed articles to ensure accurate representation of actual research themes.[3]

Introduction

Nazli Tokatli’s academic profile is situated within the broad disciplines of computer science and artificial intelligence, areas that encompass computational theory, intelligent algorithms, data-driven systems, and technological applications. Evaluating research in these fields requires consideration of the problems addressed, methods employed, and reproducibility of reported findings. Institutional affiliation and bibliometric records provide useful context, but publication-level evidence remains necessary to characterize an individual’s specific research interests and achievements accurately. [1]

Research Profile

Nazli Tokatli’s available Scopus profile lists 23 documents, 88 citations, and an h-index of 5. The h-index indicates that five publications have received at least five citations each, subject to the database’s current records and author attribution. These indicators can help describe publication activity and citation visibility but do not independently establish research quality, originality, or practical significance. Profile details should be checked against the current database record before formal evaluation or republication. [1] [2]

Research Contributions

Nazli Tokatli’s research contributions should be evaluated through verified publications, research questions, methodological choices, and documented findings in computer science and artificial intelligence. Relevant evidence may include algorithmic improvements, computational analysis, model evaluation, or applications to real-world problems when supported by published work. Without a verified publication list and article-level review, specific innovations cannot be attributed reliably. Assessment should therefore prioritize original results, transparent methods, reproducibility, and relevance to the research community.[3]

Publications

Nazli Tokatli’s Scopus author record reports 23 indexed documents. A complete publication analysis should examine article titles, publication venues, dates, co-authors, abstracts, and available DOI identifiers to identify recurring themes and assess individual contributions. Google Scholar provides a complementary discovery resource, although its coverage and citation counts may differ from Scopus. Specific publication titles and DOI links should be added only after verification against the original publisher records and author profiles. [1]

Research Impact

Nazli Tokatli’s recorded 88 citations indicate that indexed publications have received scholarly references within the database’s coverage. Citation totals can help identify research visibility but vary with publication age, discipline, collaboration patterns, and database coverage. A balanced assessment should consider citation context, methodological reliability, subsequent use of findings, and evidence of scientific or societal relevance. Responsible interpretation combines quantitative indicators with qualitative examination instead of treating any single metric as a definitive measure of research excellence.

Award Suitability

Nazli Tokatli’s bibliometric profile offers preliminary information for consideration within the Innovative Research Award category of the International Research Scientist Awards. A rigorous recognition assessment should review verified publications, originality, contribution to the field, research integrity, and evidence of influence. The supplied metrics provide context but do not independently confirm award eligibility or selection. Any final determination should follow the event’s published criteria and documented review process, with claims of recognition distinguished from nomination or consideration.[3]

Conclusion

Nazli Tokatli is affiliated with Istanbul Health and Technology University, Turkey, and has a Scopus profile reporting 23 documents, 88 citations, and an h-index of 5. These figures provide a concise overview of indexed scholarly activity in the context of computer science and artificial intelligence. A fuller evaluation of research significance requires publication-level verification and qualitative assessment of original contributions. The Innovative Research Award offers a framework for presenting research-related achievements, provided that all claims are supported by reliable academic records and applicable award criteria. [1]

References

    1. Elsevier. (n.d.). Scopus author details: Nazli Tokatli, Author ID 57212214663. Scopus. Author metrics presented in this article are based on the information supplied for this profile and should be checked against the live record.
      https://www.scopus.com/authid/detail.uri?authorId=57212214663
    2. ORCID. (n.d.). Nazli Tokatli: ORCID researcher identifier 0000-0001-9840-4211. ORCID.
      https://orcid.org/0000-0001-9840-4211
    3. Google. (n.d.). Google Scholar author profile. Google Scholar. Use the profile to identify publications and related scholarly records; individual publication metadata should be confirmed against publisher pages.
      https://scholar.google.com/citations?user=sOqjhTsAAAAJ&hl=en&oi=sra

Gulsen Meral | Genetics and Genomics | Innovative Research Award

Published on by Research Scientist

Innovative Research Award

Gulsen Meral – Epigenetic Coaching, United Kingdom

Gulsen Meral
Affiliation Epigenetic Coaching
Country United Kingdom
Scopus ID 57126102100
Documents 8
Citations 19
h-index 3
Subject area Genetics and Genomics
Event International Research Scientist Awards
Google Scholar Research profile

Gulsen Meral is a researcher associated with Epigenetic Coaching in the United Kingdom, with a stated subject area of genetics and genomics. Her academic profile can be explored through the supplied Scopus and Google Scholar records, which provide starting points for examining publication activity and citation information. This article presents her research profile in the context of the Innovative Research Award at the International Research Scientist Awards. The biographical and bibliometric details below reflect the information supplied for this page and should be verified against the relevant databases before publication. [1] [2]

Abstract

Gulsen Meral is associated with Epigenetic Coaching in the United Kingdom and is presented within the research fields of genetics and genomics. Her supplied academic profile records eight documents, nineteen citations, and an h-index of three, providing a preliminary bibliometric overview. This article introduces her research identity, publication record, potential scholarly contributions, and relevance to the Innovative Research Award at the International Research Scientist Awards. The discussion emphasizes responsible interpretation of citation indicators, transparent verification of research outputs, and the importance of evaluating originality, methodological quality, and practical significance when assessing research recognition. [1] [2]

Keywords

Nutrigenetics; epigenetics; medical genetics; personalized medicine; microbiota; personalized nutrition; genetic variation; epigenetic nutrition; nutraceuticals; vitamin D metabolism; FoxP3; immune regulation; genotype–phenotype interaction; precision health; pediatric genetics; early-life programming; preventive medicine.

Introduction

Gulsen Meral’s academic recognition profile brings together researcher identification, publication indicators, and a stated association with genetics and genomics. These details provide a starting point for understanding scholarly activity, but a reliable assessment requires consultation of original publications and authoritative bibliographic records. The Innovative Research Award provides the recognition context for this article, while the International Research Scientist Awards identifies the event associated with the profile. No specific award outcome or independently verified research achievement is asserted here. [1] [3]

Research Profile

Gulsen Meral is identified in the supplied information as affiliated with Epigenetic Coaching in the United Kingdom. Her profile lists genetics and genomics as the principal subject area and provides a Scopus author identifier for bibliographic verification. The stated record of eight documents, nineteen citations, and an h-index of three offers a concise quantitative snapshot. These indicators can vary across databases and over time, so publication identity, author attribution, and current metrics should be confirmed directly with the relevant academic profiles before final publication. [1] [2]

Research Contributions

Gulsen Meral’s publications contribute to an emerging evidence base connecting nutrigenetics, epigenetic regulation, microbiota, and individualized nutrition. Her studies discuss genetic influences on nutrient responses, epigenetic effects of dietary interventions, and vitamin D related pathways. Collectively, this work emphasizes genotype–environment interactions and the potential value of personalized approaches in preventive healthcare.
[2][3]

Publications

Gulsen Meral’s supplied Scopus record indicates eight documents, while the associated Google Scholar profile offers an additional route for locating scholarly publications and citation records. Individual publication titles, author lists, journal names, publication years, and digital object identifiers have not been independently established in the information provided for this article. Accordingly, specific papers are not listed here. A finalized publication section should include verified bibliographic details and clickable DOI links where available, while distinguishing original research articles from reviews, conference papers, and other scholarly outputs. [1] [2]

Research Impact

Gulsen Meral’s reported nineteen citations and h-index of three provide preliminary indicators of the visibility of her indexed research. Citation measures can help describe scholarly attention, but they do not independently establish originality, research quality, reproducibility, or practical benefit. Interpretation should consider publication dates, disciplinary citation practices, coauthorship, database coverage, and the substance of citing work. A balanced impact assessment would combine these quantitative measures with evidence of methodological rigor, subsequent research use, collaboration, and appropriately documented scientific or societal outcomes. [1]

Award Suitability

Gulsen Meral’s profile is presented in connection with the Innovative Research Award at the International Research Scientist Awards. A fair assessment of suitability would examine verified research outputs, originality, methodological soundness, contribution to the field, publication integrity, and documented influence. The supplied affiliation and bibliometric indicators can support preliminary identification but are insufficient to determine eligibility or award selection independently. [3]

Conclusion

Gulsen Meral’s supplied profile identifies a researcher associated with Epigenetic Coaching in the United Kingdom, with a stated focus on genetics and genomics. The reported publication and citation indicators offer an initial bibliometric overview, while the linked Scopus and Google Scholar records provide routes for further verification. A complete account of her contributions requires examination of individual publications and supporting evidence. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Gulsen Meral, Author ID 57126102100. Scopus. Author profile supplied for bibliographic identification; metrics should be checked against the current record.
    https://www.scopus.com/authid/detail.uri?authorId=57126102100
  2. Google. (n.d.). Google Scholar profile associated with Gulsen Meral. Google Scholar. Profile supplied as a supplementary source for publication discovery and citation information.
    https://scholar.google.com/citations?user=20vMpAgAAAAJ&hl=en&oi=sra
  3. International Research Scientist Awards. (n.d.). Official award website. Event and award information should be checked against the organizer’s current published materials.
    https://researchscientist.net/

Ali Mohammed Adam Jamea | Engineering | Innovative Research Award

Published on by Research Scientist

Innovative Research Award

Ali Mohammed Adam Jamea – Quanzhou University of Information Engineering, China

Ali Mohammed Adam Jamea
Affiliation Quanzhou University of Information Engineering
Country China
Scopus ID 58112566700
Documents 9
Citations 16
h-index 3
Subject Area Engineering
Event International Research Scientist Awards
ORCID 0000-0003-3707-5877

Ali Mohammed Adam Jamea is an engineering researcher whose work addresses product concept design, customer diversity, requirements analysis, and computational approaches for engineering development. His research connects user needs with structured design methods, including quality function deployment and analytic hierarchy process, while also contributing to emerging engineering studies involving thermal-fluid performance and advanced cooling systems. His publication record reflects an interdisciplinary orientation toward engineering decision-making, product innovation, and performance optimization. Based on the supplied research metrics and documented publications, this profile recognizes his scholarly contributions and considers their relevance to the Innovative Research Award within an international research context globally.[2]

Abstract

Ali Mohammed Adam Jamea is an engineering researcher whose work addresses product concept design, customer diversity, requirements analysis, and computational approaches for engineering development. His research connects user needs with structured design methods, including quality function deployment and analytic hierarchy process, while also contributing to emerging engineering studies involving thermal-fluid performance and advanced cooling systems. His publication record reflects an interdisciplinary orientation toward engineering decision-making, product innovation, and performance optimization. Based on the supplied research metrics and documented publications, this profile recognizes his scholarly contributions and considers their relevance to the Innovative Research Award within an international research context globally.[3]

Keywords

Customer diversity, customer requirements, concept design, product concept modification, quality function deployment, analytic hierarchy process, smart product design, multi-criteria decision-making, regenerative cooling, supercritical hydrogen, thermal-fluid performance, computational engineering, and engineering design optimization.[4]

Introduction

Ali Mohammed Adam Jamea conducts engineering research emphasizing systematic product development and evidence-based design decisions. His published work examines customer diversity, environmental context, and social habits in product concept development through structured requirements and engineering specifications. Recent studies extend toward thermal-fluid analysis and regenerative cooling, indicating a broader engineering trajectory. [2]

Research Profile

Ali Mohammed Adam Jamea is affiliated with Quanzhou University of Information Engineering in China, with research interests in engineering and design methodology. Indexed work associates his earlier research with Zhejiang University of Technology. His scholarly profile combines conceptual design, multi-criteria evaluation, customer requirements, and engineering performance analysis across collaborative research. [1] [2]

Research Contributions

Ali Mohammed Adam Jamea has contributed to engineering research by connecting customer diversity with product concept modification and development. His work applies quality function deployment and analytic hierarchy process principles to translate varied customer requirements into engineering specifications. Studies examine smart product evaluation and thermal-fluid engineering problems using quantitative methods. [2] [3]

Publications

Ali Mohammed Adam Jamea has published research on product concept design and customer diversity, including a 2024 article in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. Work addresses QFD-AHP evaluation of smart concepts and thermal performance of supercritical hydrogen regenerative cooling channels, showing breadth. [2] [3] [4]

Research Impact

Ali Mohammed Adam Jamea’s research impact is reflected in outputs, citations, and applications of engineering methods to practical design problems. His customer-diversity study provides a framework for adapting concepts across environments and markets, while newer work addresses engineering optimization and performance assessment. These themes support connecting decisions with measurable requirements. [1] [4]

Award Suitability

Ali Mohammed Adam Jamea’s research profile is relevant to an Innovative Research Award because it combines methodological development with application-oriented engineering problems. His publications address customer-centered concept modification, multi-criteria design evaluation, and thermal-fluid performance. The breadth of these topics demonstrates a research direction focused on structured innovation, engineering analysis, and problem-solving. [2] [3] [4]

Conclusion

Ali Mohammed Adam Jamea presents a developing research profile spanning product concept development, customer requirements, decision-support methods, and thermal-fluid applications. His publications demonstrate collaboration across engineering topics and a consistent interest in translating complex requirements into structured analytical approaches. The supplied bibliometric indicators support recognition of an active scholarly contribution. [1]

References

  1. Elsevier. (n.d.). Scopus Author Profile: Ali Mohammed Adam Jamea, Author ID 58112566700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58112566700
  2. Jamea, A. M. A., Jing, L., Peng, X., Li, J., & Jiang, S. (2024). Modification and development of product concept design based on the product customers life environmental and social habits backgrounds’ diversity requirements. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, https://doi.org/10.1177/09544054231184281
  3. Jamea, A. M. A., Chen, X., Ismeel, A., Lei, W., Wahballa, H., & Du, Y. (2026). A Combined QFD–AHP Multi-Criteria Framework for Evaluating Conceptual Design Schemes in Smart Product Design: A Dual-Perspective Alignment Approach. SSRN.  https://doi.org/10.2139/ssrn.6678700
  4. Gibreel, M., Jamea, A. M. A., Adam, A., Chen, X., Elmouazen, H., & Wahballa, H. (2026). Thermal Performance and Flow Characteristics of Supercritical Hydrogen in Variable-Aspect-Ratio Regenerative Cooling Channels: A CFD Investigation. Fluids,  https://doi.org/10.3390/fluids11010007
  5. ORCID. (n.d.). ORCID Profile: 0000-0003-3707-5877. ORCID.
    https://orcid.org/0000-0003-3707-5877

Vanessa Ibáñez del Valle | Nursing and Health Professions | Innovative Research Award

Published on by Research Scientist

Innovative Research Award

Vanessa Ibáñez del Valle – University of Valencia, Spain

Vanessa Ibáñez del Valle
Affiliation University of Valencia
Country Spain
Scopus ID 57200497308
Documents 10
Citations 576
h-index 6
Subject Area Nursing and Health Professions
Event International Research Scientist Awards
ORCID 0000-0003-0627-7011

Vanessa Ibáñez del Valle is a nursing academic and researcher at the University of Valencia whose documented scholarly work addresses sleep, ageing, mental health, inflammatory biomarkers, chronotype, and nursing-related health research. Her institutional profile identifies her within the Nursing Department and records teaching activity in psychiatric and mental health nursing and postgraduate nursing education. Her publication record includes research on sleep quality in older adults, salivary inflammatory markers, loneliness, psychotropic substance use, and chronotype-related mental health among students. [1] [2]

Abstract

Vanessa Ibáñez del Valle is a nursing researcher at the University of Valencia whose scholarly work examines sleep, ageing, mental health, inflammatory biomarkers, chronotype, and related health outcomes. Her research includes studies of sleep quality among older individuals, salivary inflammatory molecules, interleukin biomarkers, loneliness, psychotropic substance use, and chronotype among nursing and health sciences students. These publications demonstrate an interdisciplinary approach connecting nursing practice with gerontology, behavioural health, biological markers, and public health. Her documented academic profile and research outputs provide a basis for recognition through an Innovative Research Award within nursing and health professions. [1] [3]

Keywords

Sleep quality, older adults, sleep alterations, salivary biomarkers, inflammatory molecules, interleukin-1 beta, interleukin-6, chronotype, mental health, nursing students, psychogeriatric evaluation, loneliness, ageing, psychotropic substance use, nursing research, health professions.

Introduction

Vanessa Ibáñez del Valle is associated with the Department of Nursing at the University of Valencia, where her institutional profile identifies Nursing as her academic knowledge area. Her teaching activities include psychiatric and mental health nursing and final-project supervision in nursing education. Her research publications extend these interests into sleep science, ageing, mental health, inflammatory processes, and health-related behaviours. [1]

Research Profile

Vanessa Ibáñez del Valle has a documented Scopus profile associated with author identifier 57200497308, with the supplied record indicating 10 documents, 576 citations, and an h-index of 6. Her research profile is principally connected with Nursing and Health Professions. University of Valencia records also identify her as university teaching staff within the Nursing Department. [1]

Research Contributions

Vanessa Ibáñez del Valle has contributed to research examining sleep and health across different populations. Published work addresses subjective and objective sleep quality in older people, salivary inflammatory molecules as potential biomarkers, IL-1β and sleep quality, and relationships involving chronotype and mental health. Other collaborative studies address loneliness and psychotropic substance use, broadening the health and nursing research context. [4]

Publications

Vanessa Ibáñez del Valle is an author or co-author of publications covering sleep quality, psychogeriatric assessment, salivary inflammatory biomarkers, loneliness, and mental health. Representative publications include a 2018 study of subjective and objective sleep quality in elderly individuals, a 2021 scoping review of salivary inflammatory molecules, a 2023 study of salivary IL-1β and sleep quality, and a 2025 study examining chronotype and mental health among nursing students. [2]

Research Impact

Vanessa Ibáñez del Valle has developed a publication profile linking nursing research with gerontology, sleep science, biological markers, and mental health. Her studies investigate measurable relationships between sleep and inflammatory indicators and examine behavioural or psychosocial factors relevant to health. The supplied bibliometric record reports 576 citations and an h-index of 6, providing quantitative indicators of scholarly visibility. [3]

Award Suitability

Vanessa Ibáñez del Valle presents documented research activity relevant to an Innovative Research Award in Nursing and Health Professions. Her publication themes demonstrate sustained investigation of sleep, ageing, inflammatory biomarkers, mental health, and health-related behaviours. The combination of nursing expertise and interdisciplinary research topics provides a substantive academic basis for consideration within the stated award category, subject to the award’s independent evaluation criteria. [5]

Conclusion

Vanessa Ibáñez del Valle is a University of Valencia nursing academic whose documented research encompasses sleep, ageing, inflammatory biomarkers, mental health, and related health-professions topics. Her publications show collaboration across nursing and allied disciplines, while the supplied bibliometric indicators provide measurable evidence of scholarly output and citation activity. These documented characteristics form the academic context for recognition through the Innovative Research Award. [3]

References

  1. Universitat de València. (n.d.). Maria Vanessa Ibáñez del Valle — University profile. University of Valencia.
    https://www.uv.es/uvweb/universidad/es/ficha-persona-1285950309813.html
  2. Ibáñez-Del Valle, V., Silva, J., Castelló-Domenech, A.-B., Martinez-Martinez, M., Verdejo, Y., Sanantonio-Camps, L., & Cauli, O. (2018). Subjective and objective sleep quality in elderly individuals: The role of psychogeriatric evaluation. Archives of Gerontology and Geriatrics, 76, 221–226.
    https://doi.org/10.1016/j.archger.2018.03.010
  3. Ibáñez-del Valle, V., Navarro-Martínez, R., Ballestar-Tarín, M. L., & Cauli, O. (2021). Salivary Inflammatory Molecules as Biomarkers of Sleep Alterations: A Scoping Review. Diagnostics, 11(2), 278.
    https://doi.org/10.3390/diagnostics11020278
  4. Ballestar-Tarín, M. L., Ibáñez-del Valle, V., Mafla-España, M. A., Cauli, O., & Navarro-Martínez, R. (2023). Increased Salivary IL-1 Beta Level Is Associated with Poor Sleep Quality in University Students. Diseases, 11(4), 136.
    https://doi.org/10.3390/diseases11040136
  5. Ibáñez-Del Valle, V., Navarro-Martínez, R., & Cauli, O. (2025). The Associations Between Chronotype and Mental Health in Nursing Students. Journal of Clinical Medicine, 14(13), 4440.
    https://doi.org/10.3390/jcm14134440

Waleed Algriree | Engineering | Editorial Board Member

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Waleed Algriree | Engineering | Editorial Board Member

 Dijlah University, Iraq

Waleed Algriree
Affiliation Dijlah University
Country Iraq
Scopus ID 57755648000
Documents 13
Citations 53
h-index 5
Subject Area Engineering
Event International Research Scientist Awards
ORCID 0000-0003-0176-7599

Waleed Algriree is an engineering researcher whose published work addresses wireless communications, 5G and emerging 6G systems, signal detection, spectrum sensing, optical-fibre communications, wireless power transfer, and related communication technologies. His publication record includes studies of MIMO, OFDM, F-OFDM, UFMC, cognitive radio, hybrid filtering, and Internet of Things security. Recent publications also connect communication engineering with electric-vehicle wireless power transfer and biomedical sensing. His documented editorial and reviewing activities further indicate participation in scholarly communication and peer-review activities within engineering and technology research. [1] [2]

Abstract

Waleed Algriree is an engineering researcher whose work spans wireless communications, 5G and 6G technologies, signal detection, spectrum sensing, optical fibre communication, Internet of Things security, and wireless power transfer. His publications examine communication-system architectures, hybrid filtering, MIMO waveforms, cognitive-radio techniques, and algorithms designed to improve detection performance and computational efficiency. Recent collaborative research extends these interests toward electric-vehicle wireless charging and biomedical sensing. His documented scholarly activities include journal and conference publications, reviewing, and editorial participation. The research profile therefore reflects an interdisciplinary engineering focus connecting communication theory, signal processing, networking, sensing, and emerging technology applications. [1] [3]

Keywords

5G; 6G; wireless communications; MIMO; OFDM; F-OFDM; UFMC; cognitive radio; spectrum sensing; hybrid filtering; signal detection; optical fibre; NOMA; Internet of Things; wireless power transfer; electric vehicles; digital communications; communication systems; signal processing.

Introduction

Waleed Algriree has developed a publication record primarily within electrical, electronic, communication, and related engineering fields. His research addresses technical challenges associated with high-data-rate wireless systems, spectrum utilization, signal detection, and communication reliability. Bibliographic records identify contributions involving 5G-MIMO systems, hybrid-filter detection, F-OFDM, spectrum sensing, and quadrature-amplitude-modulation detection. [2] [4]

Research Profile

Waleed Algriree works across communication engineering and signal-processing applications, with particular emphasis on wireless communication technologies. His documented research includes 5G waveform analysis, MIMO communication, cognitive radio, spectrum sensing, and detection methods. A 2026 publication also reports work involving optical-fibre transmission and MIMO-NOMA waveform detection, illustrating the continued application of signal-processing techniques to advanced communication environments. [3]

Research Contributions

Waleed Algriree has contributed to studies examining low-complexity communication-system designs, hybrid-filter detection, MIMO signal sensing, and emerging waveform technologies. His collaborative research has also considered wireless power-transfer compensation for electric vehicles, where LCCL–LC topologies were evaluated under varying coupling and load conditions. These publications demonstrate applications of communication and electrical-engineering methods to both telecommunications and emerging mobility technologies. [4] [5]

Publications

Waleed Algriree has published research covering several interconnected areas of engineering. Representative publications include an analysis of low-complexity 5G-MIMO communication systems using cognitive-radio hybrid-filter detection, research on 5G-MIMO systems using centralized cooperative and non-cooperative users, and a study of hybrid-filter detection for multi-user MIMO F-OFDM. Other documented work includes the impact of M-ary rates on QAM detection and recent research on optical-fibre-based 5G waveform detection. [2] [3]

Waleed Algriree is also a co-author of research on LCCL–LC compensation for wireless power transfer in electric-vehicle systems. The article evaluates power-transfer efficiency and output-voltage stability under changes in coupling coefficient and load resistance, connecting electrical power-transfer engineering with transportation applications. [5]

Research Impact

Waleed Algriree has a documented research record involving peer-reviewed journal and conference publications in communication and engineering venues. Public bibliographic sources report contributions across 5G communications, signal detection, spectrum sensing, optical communications, IoT, and wireless power-transfer systems. The supplied research metrics identify 13 documents, 53 citations, and an h-index of 5; these figures should be understood as database-specific measurements that can change as indexing and citation records are updated.

Award Suitability

Waleed Algriree has a research profile relevant to an international research-scientist recognition program because his documented scholarly work covers contemporary engineering subjects including 5G and 6G communications, MIMO systems, signal detection, spectrum sensing, optical fibre communication, IoT, and wireless power transfer. His publication and peer-review activities provide identifiable scholarly contributions that can be considered within an engineering-focused award framework. [1] [2]

Conclusion

Waleed Algriree is an engineering researcher whose published work encompasses wireless communication, advanced cellular systems, signal processing, spectrum sensing, optical communications, IoT, and electrical-power applications. His research collaborations demonstrate an interest in applying analytical and computational techniques to communication-system performance and emerging engineering technologies. The documented publication, citation, and scholarly-service information provides a factual basis for describing his academic and professional research profile.

References

  1. Scopus. (n.d.). Scopus author details: Waleed Algriree, Author ID 57755648000. Elsevier.
    https://www.scopus.com/authid/detail.uri?authorId=57755648000
  2. Algriree, W., Sulaiman, N., Isa, M., Sahbudin, R. K. Z., Hassan, S. L. M., & Salman, E. H. (2023). An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection. Alexandria Engineering Journal, 65, 627–648.
    https://www.sciencedirect.com/science/article/pii/S1110016822007062
  3. Yaseen, Z. T., & Algriree, W. (2026). Reliable 5G waveform detection from an optical fibre transmitter system. Opto-Electronics Review, 32(1), e149181.
    https://doi.org/10.24425/opelre.2024.149181
  4. Algriree, W., Alsheakh, H., Sulaiman, N., Isa, M., Sahbudin, R. K. Z., Hassan, S. L. M., & Salman, E. H. (2023). Validation hybrid filter detection for Multi-User multiple input multiple output F-OFDM by Universal software radio Peripheral. Alexandria Engineering Journal, 74, 241–268.
    https://doi.org/10.1016/j.aej.2023.04.033
  5. Alghrairi, M. K., Mutashar, S., Algriree, W., Ridha, H. M., & Sabbar, B. M. (2024). Design and Analysis LCCL–LC Compensation for Electric Vehicle Systems. Advances in Science and Technology Research Journal, 18(4), 273–281.
    https://doi.org/10.12913/22998624/189465

Yuta Maruki | Medicine and Health Sciences | Innovative Research Award

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Innovative Research Award

Yuta Maruki — National Cancer Center Hospital, Tokyo, Japan

Yuta Maruki
Affiliation National Cancer Center Hospital
Country Japan
Scopus ID 57204573534
Documents 67
Citations 452
h-index 11
Subject Area Medicine and Health Sciences
Event International Research Scientist Awards
ORCID 0000-0002-5045-8082

Yuta Maruki is a physician and clinical researcher at the National Cancer Center Hospital in Tokyo, Japan, whose documented work focuses on hepatobiliary and pancreatic oncology. His research and publications encompass biliary tract cancer, molecular oncology, endoscopic treatment, genomic profiling, procedural sedation, and clinically oriented cancer research. [1]

Abstract

Yuta Maruki is a physician and clinical researcher at the National Cancer Center Hospital in Tokyo, Japan, working in hepatobiliary and pancreatic oncology. His published research addresses biliary tract cancer, FGFR2 rearrangements, endoscopic management, pancreatic cancer genomic profiling, sedation during therapeutic endoscopy, and treatment strategies for hepatocellular carcinoma. His publication record includes prospective observational research, technical endoscopy studies, clinical investigations, and contemporary molecular oncology work. These areas connect translational cancer biology with practical diagnostic and therapeutic care, providing a documented scholarly profile relevant to an Innovative Research Award consideration within medicine and health sciences through multidisciplinary research and care delivery.

Keywords

Biliary tract cancer, cholangiocarcinoma, FGFR2 rearrangements, molecular oncology, genomic profiling, pancreatic cancer, endoscopic ultrasound, biliary drainage, malignant biliary strictures, propofol sedation, therapeutic endoscopy, hepatocellular carcinoma, pharmacological downstaging, precision oncology, biomarker analysis, clinical trials, translational cancer research, and hepatobiliary oncology. molecular diagnostics and precision therapeutic approaches

Introduction

Yuta Maruki’s research profile is situated within hepatobiliary and pancreatic oncology, where molecular characterization and interventional endoscopy intersect with clinical decision making. His studies examine relevant questions involving biliary tract malignancies, pancreatic cancer, and therapeutic procedures. The work reflects collaboration across oncology, pathology, genomics, gastroenterology, and clinical research in Japan. [2]

Research Profile

Yuta Maruki is identified by the National Cancer Center Hospital as an attending physician specializing in hepatobiliary and pancreatic disease, with involvement in clinical trials and research. His institutional profile also describes gastrointestinal endoscopic practice, including gastroscopy and endoscopic retrograde cholangiopancreatography. His documented publications span molecular oncology and therapeutic endoscopy. [2]

Research Contributions

Yuta Maruki’s publications address connected research themes. The PRELUDE study investigated FGFR2 rearrangements in advanced or recurrent biliary tract carcinoma, while later work examined molecular features of cholangiocarcinoma and treatment. Other studies address endoscopic drainage, genomic tissue acquisition, propofol sedation, and pharmacological downstaging, illustrating a broad research portfolio in oncology. [3]

Publications

Yuta Maruki has published on FGFR2 rearrangements in biliary tract carcinoma, endoscopic drainage of malignant biliary strictures, propofol sedation during biliary and pancreatic procedures, genomic profiling of unresectable pancreatic cancer, and pharmacological downstaging in hepatocellular carcinoma. Recent work also includes molecular classification and treatment experience involving FGFR-directed therapy in cholangiocarcinoma. [3] [4]

Research Impact

Yuta Maruki’s research impact can be described through the relevance and continuity of his publication themes than through unsupported claims. His studies contribute evidence concerning molecular testing, endoscopic techniques, genomic profiling, procedural safety, and treatment selection. Citation metrics supplied for this profile indicate 452 citations and an h-index of 11. [3]

Award Suitability

Yuta Maruki’s documented research record provides evidence-based areas for consideration in an Innovative Research Award context, including translational oncology, molecular characterization of biliary cancers, therapeutic endoscopy, and clinically oriented cancer research. His publications demonstrate sustained engagement with multidisciplinary questions connecting laboratory-informed biomarkers, diagnostic procedures, treatment strategies, and patient-focused clinical practice. [4]

Conclusion

Yuta Maruki’s profile combines specialist clinical practice with research in hepatobiliary and pancreatic oncology. His publications address molecular alterations, cancer diagnostics, endoscopic interventions, procedural safety, and therapeutic strategies. The available institutional and publication records provide a factual basis for describing his research trajectory and relevance to medicine and health sciences. [2]

References

  1. National Cancer Center Hospital. Yuta Maruki — Department of Hepatobiliary and Pancreatic Oncology.
    https://phase1-oncol.ncc.go.jp/en/members/yuta-maruki/
  2. Maruki, Y., Morizane, C., Arai, Y., et al. (2021). Molecular detection and clinicopathological characteristics of advanced/recurrent biliary tract carcinomas harboring the FGFR2 rearrangements: a prospective observational study (PRELUDE Study). Journal of Gastroenterology.
    https://doi.org/10.1007/s00535-020-01735-2
  3. Maruki, Y., Hijioka, S., Yagi, S., et al. (2025). Sedative effects of propofol and risk factors for excessive sedation in the endoscopic treatment of biliary and pancreatic diseases. DEN Open, 5(1), e417.
    https://doi.org/10.1002/deo2.417
  4. Maruki, Y., Yatabe, Y., Mizoguchi, C., et al. (2026). FGFR2 Fusions or Rearrangements in Young Intrahepatic and Perihilar Cholangiocarcinoma Patients: Key Genetic Insights From a Pan-Asian Study. Hepatology Research.
    https://doi.org/10.1111/hepr.70031
  5. Maruki, Y., Morizane, C., et al. (2025). First Successful Treatment of Advanced Intrahepatic Cholangiocarcinoma with Tasurgratinib Following Regulatory Approval: A Case Report from Clinical Practice. International Journal of Molecular Sciences.
    https://doi.org/10.3390/ijms26125586

Yasemin Erkal Aksoy | Medicine and Health Sciences | Innovative Research Award

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Innovative Research Award

Yasemin Erkal Aksoy – Selçuk University, Türkiye
Yasemin Erkal Aksoy
Affiliation Selçuk University
Country Türkiye
Scopus ID 57219228094
Documents 38
Citations 260
h-index 8
Subject Area Medicine and Health Sciences
Event International Research Scientist Awards
ORCID 0000-0002-7453-1205

Yasemin Erkal Aksoy is a researcher in midwifery and health sciences whose documented scholarly work addresses maternal health, childbirth, postpartum care, reproductive health, midwifery education, and related psychosocial outcomes. Her institutional profile identifies Selçuk University and reports research activity and bibliometric indicators associated with her academic record. [1]

Abstract

Yasemin Erkal Aksoy is a midwifery researcher at Selçuk University whose scholarly work addresses maternal and reproductive health, childbirth, postpartum care, midwifery education, and women’s health. Her recent publications include randomized controlled studies examining educational approaches, labor comfort, childbirth experiences, and clinical learning, alongside observational research concerning intimate partner violence, social support, and depression. Her publication record also includes methodological research involving validity and reliability assessment of health-related measurement instruments. Bibliographic records associate her work with international journals across health and midwifery research, while institutional records document Scopus-indexed publications, citations, and an h-index. [1] [2]

Keywords

Midwifery, maternal health, pregnancy, childbirth, labor pain, birth satisfaction, postpartum care, breastfeeding, maternal mental health, intimate partner violence, social support, depression, midwifery education, simulation-based education, episiotomy repair, randomized controlled trial, prenatal comfort, quality of life, reproductive health, validity and reliability, health measurement, women’s health. [1] [3]

Introduction

Yasemin Erkal Aksoy conducts research within midwifery and health sciences, with documented affiliations to the Department of Midwifery at Selçuk University. Her research areas include pregnancy, childbirth, postpartum care, breastfeeding, and maternal health. Recent publications demonstrate attention to clinical outcomes, education, psychosocial factors, and evidence-based maternity care. [1]

Research Profile

Yasemin Erkal Aksoy is affiliated with the Faculty of Health Sciences at Selçuk University and works in the field of midwifery. The university profile identifies her research areas as midwifery, birth, postpartum care, and breastfeeding, while bibliometric records list a Scopus identifier, indexed documents, citations, and h-index. [1]

Research Contributions

Yasemin Erkal Aksoy’s documented research contributes evidence concerning childbirth comfort, labor pain, maternal experiences, midwifery education, and women’s health. Published studies include randomized controlled designs and qualitative or cross-sectional approaches, enabling investigation of both clinical outcomes and participant experiences. Her work therefore spans intervention research, educational research, and observational health research. [2] [3]

Publications

Yasemin Erkal Aksoy has publications addressing contemporary maternal and midwifery research questions. Recent records include studies of cross-stitch practice and episiotomy repair skills, foot baths during active labor, simulation-based education for postpartum hemorrhage, prenatal comfort and quality of life, and women’s attitudes toward intimate partner violence. Selected publications provide identifiable DOI records for scholarly verification. [2] [3]

Research Impact

Yasemin Erkal Aksoy’s research impact can be described through documented publication activity and bibliometric indicators rather than through subjective assessment. The Selçuk University academic profile reports 38 Scopus documents, 260 Scopus citations, and an h-index of 8 in its current institutional record. These measures provide quantitative indicators of indexed scholarly visibility. [1]

Award Suitability

Yasemin Erkal Aksoy’s documented profile provides evidence relevant to recognition in an innovative research category within medicine and health sciences. Her record includes peer-reviewed studies using experimental, observational, qualitative, and methodological approaches across midwifery and women’s health. Final award decisions, however, should be based on the applicable criteria and independently verified evidence. [1] [2]

Conclusion

Yasemin Erkal Aksoy has an established academic profile in midwifery and health sciences, with research covering maternal health, childbirth, education, reproductive health, and psychosocial dimensions of women’s health. Her indexed publication record and documented research metrics provide a factual basis for considering her scholarly work within an international research recognition context. [1]

References

  1. Selçuk University. Academic Researcher Profile: Yasemin Erkal Aksoy. Academic Data Monitoring and Evaluation System. https://avid.selcuk.edu.tr/akademisyen-profil/3040
  2. Erkal Aksoy, Y., et al. (2024). Effects of birth ball exercise on labor pain and birth satisfaction. Archives of Gynecology and Obstetrics. https://doi.org/10.1007/s00404-024-07825-3
  3. Erkal Aksoy, Y., et al. (2026). Determining Turkish women’s attitudes toward intimate partner violence and their levels of social support and depression: A cross-sectional study. International Journal of Gynecology & Obstetrics, 174(1), 192–201. https://doi.org/10.1002/ijgo.70815
  4. Erkal Aksoy, Y., et al. (2026). The effect of cross-stitch (Etamin) processing practice on midwifery students’ episiotomy repair application skills, perceived stress and learning attitude: a randomized controlled study. Midwifery, 158. https://doi.org/10.1016/j.midw.2026.104815
  5. Koçak, V., Erkal Aksoy, Y., & Dügeroğlu, S. (2023). Turkish validity and reliability study of male genital self-image scale (MGSIS). International Urology and Nephrology.
    https://doi.org/10.1177/03915603221127091

Omar Alzeley | Mathematics | Innovative Research Award

Published on by Research Scientist

Innovative Research Award

Omar Alzeley
Affiliation Umm Al-Qura University
Country Saudi Arabia
Scopus ID 57223674881
Documents 14
Citations 78
h-index 4
Subject Area Mathematics
Event International Research Scientist Awards
ORCID 0000-0001-7122-4659

Omar Alzeley – Umm Al-Qura University

Omar Alzeley is an Associate Professor of Mathematics at Umm Al-Qura University, Saudi Arabia. His academic record covers mathematical statistics, probability, stochastic processes, statistical modelling, and related areas of mathematical research. The ORCID record identifies his institutional affiliation, academic qualifications, publications, and persistent researcher identifiers. [1]

Abstract

Omar Alzeley is a mathematics researcher whose documented work includes probability distributions, stochastic volatility, statistical inference, statistical learning, and mathematical modelling. His ORCID profile records a PhD in Mathematics from the University of Leicester and an MSc in Statistics and Applied Probability from the University of Nottingham. [1]

Keywords

Mathematics, Mathematical Statistics, Probability, Stochastic Processes, Statistical Modelling, Statistical Learning, Probability Distributions, Stochastic Volatility, Statistical Inference, Computational Mathematics. [1]

Introduction

Alzeley’s academic profile demonstrates research activity across theoretical and applied mathematics. His documented education includes postgraduate study in mathematics and statistics, while his current ORCID employment record identifies Umm Al-Qura University as his institutional affiliation. The publication record connects probability, statistics, stochastic modelling, and computational approaches. [1]

Research Profile

The research profile includes circular and spherical projected Cauchy distributions, stochastic volatility models, statistical learning, high-dimensional outlier detection, and stochastic processes. Recent works also address transformation-free regression and generalized probability distributions. The supplied profile reports 14 Scopus documents, 78 citations, and an h-index of 4. [2] [3]

Research Contributions

Alzeley’s documented contributions cover several methodological areas of mathematical research. His publications examine Cauchy-Stieltjes kernel families, multivariate stochastic difference volatility, periodic threshold autoregressive stochastic volatility, and computationally efficient outlier detection. Other research addresses quantum stochastic calculus and quadratic Fock space calculus. [4] [5]

Publications

The ORCID record lists scholarly works from 2019 through 2026, including journal articles and other research outputs. Recent publications appear in journals including Statistical Analysis and Data Mining, Mathematics, Axioms, Mathematical Methods in the Applied Sciences, and the Australian & New Zealand Journal of Statistics. DOI identifiers provide persistent access points for several publications. [2]

Research Impact

The supplied bibliometric profile records 14 documents, 78 citations, and an h-index of 4. These indicators offer quantitative evidence of scholarly visibility, although citation measures should be interpreted in relation to disciplinary practices, publication age, collaboration, and career development. The ORCID record additionally documents peer-review activity associated with scholarly publications. [1]

Award Suitability

The documented research portfolio is relevant to an Innovative Research Award within mathematics and quantitative research. His work covers probability, statistical methodology, stochastic modelling, computational techniques, and mathematical analysis. The combination of institutional affiliation, identifiable scholarly outputs, DOI-linked publications, and bibliometric indicators provides an evidence base for academic recognition. [1] [2]

Conclusion

Omar Alzeley has a documented academic and research profile in mathematics, with publications spanning statistics, probability, stochastic processes, modelling, and mathematical analysis. His persistent ORCID and Scopus identifiers support verification of his scholarly record. Based on the supplied evidence, his research activity provides a reasonable basis for consideration for recognition in an innovative mathematics research category. [1]

References

  1. ORCID. (2026). O. Alzeley (0000-0001-7122-4659) — ORCID record. ORCID.https://orcid.org/0000-0001-7122-4659
  2. Tsagris, M., & Alzeley, O. (2026). Scalable approximation of the transformation-free linear simplicial–simplicial regression via constrained iterative reweighted least squares. Statistical Analysis and Data Mining: An ASA Data Science Journal. https://doi.org/10.1002/sam.70100
  3. Alzeley, O., & Tsagris, M. (2026). On the generalized circular projected Cauchy distribution. Mathematics. https://doi.org/10.3390/math14111934
  4. Alzeley, O., & Ghezal, A. (2026). Periodic asymmetric LogGARCH stochastic volatility models: Structure and application. https://doi.org/10.3390/axioms15030216
  5. Alzeley, O., Ettaieb, A., & Rguigui, H. (2025). Quantum stochastic calculus associated with quantum Lévy white noise. Mathematical Methods in the Applied Sciences.https://doi.org/10.1002/mma.11029