Geisel García Vidal | Social Sciences | Best Research Article Award

Published on by Computer Scientists Awards

Best Research Article Award

Geisel García Vidal
Universidad de Camagüey, Cuba

Geisel García Vidal
Affiliation Universidad de Camagüey
Country Cuba
Scopus ID 57192385254
Documents 87
Citations 244
h-index 8
Subject Area Social Sciences
Event Computer Scientists Awards
ORCID 0000-0001-7159-3163

Geisel García Vidal is a researcher affiliated with Universidad de Camagüey whose documented scholarly profile is situated within the Social Sciences. The available publication record includes research addressing economic convergence, digital literacy, online commerce risk, professional education, and enterprise performance. His indexed profile reports 87 documents, 244 citations, and an h-index of 8.

Abstract

This academic recognition profile documents the research record of Geisel García Vidal and its relationship to the Best Research Article Award category. His recent work spans economic convergence, digital literacy, professional education, and micro and small enterprise performance. The publications illustrate an interdisciplinary orientation connecting socioeconomic analysis with organizational and educational questions. One documented article examines economic convergence through bibliometric mapping and strategic implications, providing a direct example of quantitative scholarly analysis in the Social Sciences.[1]

Keywords

Economic convergence; bibliometric mapping; digital literacy; online commerce; risk management; professional education; project-based learning; enterprise performance; Social Sciences; research impact.

Introduction

Research in contemporary Social Sciences increasingly combines empirical evidence, bibliometric methods, organizational analysis, and technology-related capabilities. García Vidal’s listed publications reflect this interdisciplinary environment. His work addresses both broad economic patterns and applied questions concerning digital commerce, education, and enterprise development, creating a research profile that crosses several related domains.[2]

Research Profile

The available indexed record identifies 87 documents, 244 citations, and an h-index of 8. The researcher is associated with Universidad de Camagüey and has an ORCID identifier of 0000-0001-7159-3163. These identifiers provide mechanisms for distinguishing the researcher and connecting scholarly outputs across academic systems.[3]

Research Contributions

  • Economic convergence research using bibliometric mapping and strategic interpretation.[1]
  • Investigation of digital literacy as a capability related to risk management in online commerce.[4]
  • Development of contextualized, competency-based approaches to project-based professional education.[5]
  • Analysis of structural determinants associated with micro and small enterprise performance.[6]

Publications

Economic Convergence Analyses in Perspective: A Bibliometric Mapping and Its Strategic Implications (1982–2025), published in Economies on 4 October 2025, DOI 10.3390/economies13100289.[1] Additional listed works include Digital literacy as a capability for managing risk in online commerce: Evidence from an emerging market, Project-based learning as a transformative strategy in professional education, and Structural determinants of micro and small enterprise performance, with DOI records supplied for each publication.[4] [5] [6]

Research Impact

The reported citation count and h-index provide quantitative indicators of scholarly visibility, while the range of subjects represented in the listed publications indicates an interdisciplinary research trajectory. Such metrics should be interpreted alongside publication quality, authorship, journal scope, methodological contribution, and field-specific citation practices rather than as standalone measures of research quality.

Award Suitability

The documented research record provides relevant material for consideration under a Best Research Article Award framework, particularly through the article on economic convergence and its explicit bibliometric and strategic dimensions. Formal award eligibility, selection, and recognition remain subject to the criteria and review procedures established by Computer Scientists Awards.

Conclusion

Geisel García Vidal’s documented profile combines Social Sciences research with quantitative analysis and applied studies of economic, educational, digital, and enterprise-related issues. The listed publications and indexed indicators provide a structured basis for academic recognition and further examination of his scholarly contributions.

References

  1. García-Vidal, G., Loredo-Carballo, N. A., Pérez-Campdesuñer, R., & García-Vidal, G. (2025). Economic Convergence Analyses in Perspective: A Bibliometric Mapping and Its Strategic Implications (1982–2025). Economies.
    https://doi.org/10.3390/economies13100289
  2. Elsevier. (n.d.). Scopus author details: Geisel García Vidal, Author ID 57192385254. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57192385254
  3. ORCID. (n.d.). Geisel García Vidal, ORCID 0000-0001-7159-3163. ORCID.
    https://orcid.org/0000-0001-7159-3163
  4. García Vidal, G., et al. (2026). Digital literacy as a capability for managing risk in online commerce: Evidence from an emerging market. Cogent Business & Management.
    https://doi.org/10.1080/23311975.2026.2684096
  5. García Vidal, G., et al. (2026). Project-based learning as a transformative strategy in professional education: A contextualized and competency-based methodological proposal. Cogent Education.
    https://doi.org/10.1080/2331186X.2026.2701517
  6. García Vidal, G., et al. (2026). Structural determinants of micro and small enterprise performance: Evidence of scale-contingent convergence from Ecuador. Cogent Business & Management.
    https://doi.org/10.1080/23311975.2026.2705543

Maowen Zheng | Engineering | Best Researcher Award

Published on by Computer Scientists Awards

Best Researcher Award

Maowen Zheng
Quantum Science Center of Guangdong–Hong Kong–Macao Greater Bay Area, China

Maowen Zheng
Affiliation Quantum Science Center of Guangdong–Hong Kong–Macao Greater Bay Area
Country China
Scopus ID 57210859562
Documents 4
Citations 43
h-index 3
Subject Area Engineering
Event Computer Scientists Awards
ORCID 0000-0002-3035-0189

Maowen Zheng is a researcher affiliated with the Quantum Science Center of Guangdong–Hong Kong–Macao Greater Bay Area whose documented research profile is situated within engineering and cryogenic refrigeration technology. The listed publications address dry dilution refrigerators, refrigeration components, dilution refrigeration technology, and sub-kelvin helium-mixture processing.

Abstract

Maowen Zheng’s documented research focuses on cryogenic engineering and dilution refrigeration systems. The publication record includes studies of dry dilution refrigerator components, refrigeration technology, and experimental system performance. These works provide a focused research profile connecting engineering design, low-temperature experimentation, and refrigeration-system development. [1]

Keywords

Cryogenic engineering; dilution refrigeration; dry dilution refrigerator; sub-kelvin cooling; helium mixtures; refrigeration systems; experimental engineering; quantum technology.

Introduction

Dilution refrigeration is an important engineering approach for achieving very low temperatures and supporting experimental platforms that require controlled cryogenic environments. Zheng’s listed research addresses practical aspects of such systems, including component design, system operation, and experimental evaluation. The publication record therefore reflects a coherent technical focus within engineering and cryogenic refrigeration. [2]

Research Profile

The supplied research profile records four documents, 43 citations, and an h-index of 3 under Scopus ID 57210859562. The affiliation with the Quantum Science Center of Guangdong–Hong Kong–Macao Greater Bay Area places the research within an environment associated with advanced low-temperature and quantum-science applications.

Research Contributions

  • Investigation of the J-T component used in dry dilution refrigeration systems.
  • Study of dilution refrigeration technology and associated cryogenic processes.
  • Experimental investigation of dry dilution refrigeration driven by a high-power linear compressor.
  • Research on multistage sub-kelvin distillation of helium mixtures for high-purity helium production. [3]

Publications

  1. Design and performance of the J-T component of dry dilution refrigerator. IOP Conference Series: Materials Science and Engineering, 2024 [4]
  2. Dilution refrigeration technology. Acta Physica Sinica, 2024.
  3. Experimental study on a dry dilution refrigerator driven by a high-power linear compressor. Cryogenics, 2024. [5]
  4. Multistage Sub-Kelvin Distillation of 3He–4He Mixtures for Ultra-High-Purity 3He Production. International Journal of Refrigeration, 2026-12.

Research Impact

The supplied bibliometric record indicates 43 citations across four documents and an h-index of 3. These metrics provide quantitative indicators of documented scholarly use of the indexed work; they should be interpreted in relation to publication year, field, database coverage, and citation practices. The research topics are relevant to cryogenic infrastructure supporting low-temperature experiments and quantum-oriented technologies.

Award Suitability

For consideration under a Best Researcher Award category, the profile presents a defined engineering specialization, an identifiable publication record, and documented citation activity. The listed research demonstrates continuity around dilution refrigeration and cryogenic engineering. Award assessment should additionally consider the complete publication record, originality, research responsibilities, institutional verification, and the applicable evaluation criteria of the Computer Scientists Awards.

Conclusion

Maowen Zheng’s supplied academic profile reflects research activity in engineering with a concentrated focus on dry dilution refrigeration and cryogenic technologies. The documented publications and bibliometric indicators provide a concise basis for academic recognition, while the underlying research addresses technical challenges associated with low-temperature refrigeration systems.

References

  1. Elsevier. (n.d.). Scopus author details: Maowen Zheng, Author ID 57210859562. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57210859562
  2. Zheng, M. et al. (2024). Dilution refrigeration technology. Acta Physica Sinica.
    https://doi.org/10.7498/APS.73.20241211
  3. Zheng, M. et al. (2026). Multistage Sub-Kelvin Distillation of 3He–4He Mixtures for Ultra-High-Purity 3He Production. International Journal of Refrigeration.
    https://doi.org/10.1016/j.ijrefrig.2026.107135
  4. Zheng, M. et al. (2024). Design and performance of the J-T component of dry dilution refrigerator. IOP Conference Series: Materials Science and Engineering.
    https://doi.org/10.1088/1757-899X/1301/1/012139
  5. Zheng, M. et al. (2024). Experimental study on a dry dilution refrigerator driven by a high-power linear compressor. Cryogenics.  https://doi.org/10.1016/J.CRYOGENICS.2024.103802
  6. ORCID. (n.d.). Maowen Zheng, ORCID record 0000-0002-3035-0189.
    https://orcid.org/0000-0002-3035-0189

KROB DANIEL | Engineering | Innovative Research Award

Published on by Computer Scientists Awards

Innovative Research Award

KROB DANIEL
Systemic Intelligence Group, France

KROB DANIEL
Affiliation Systemic Intelligence Group
Country France
Documents 3
Subject Area Engineering
Event Computer Scientists Awards
ORCID 0000-0003-4418-8300

KROB DANIEL is a researcher affiliated with the Systemic Intelligence Group in France whose documented publication record concerns systems engineering, systemic approaches, and digital-twin development. The available profile records three documents, no citations, and an h-index of 0. The publications supplied for this recognition profile span systems thinking, crisis-response modelling, and the development of systemic digital-twin concepts. [1] [2] [3]

Abstract

This academic recognition profile documents the research record of KROB DANIEL in engineering and systems-oriented research. The supplied publications demonstrate engagement with system definition, model-based systems approaches, crisis management, and systemic digital twins. The record provides a basis for considering the researcher within an innovation-focused academic recognition framework.

Keywords

Systems engineering; systemic intelligence; digital twin; model-based systems engineering; system definition; system worldviews; systemness; agile systems; industrial enterprise; engineering innovation.

Introduction

Systems engineering provides methods for understanding complex systems, their interactions, requirements, and operational contexts. KROB DANIEL’s documented work addresses these themes through conceptual and applied studies. The research trajectory represented by the supplied publications connects foundational system concepts with contemporary digital representations of industrial enterprises. [3]

Research Profile

The profile is associated with the Systemic Intelligence Group in France and is categorized under Engineering. The supplied bibliographic record contains three journal articles. Current bibliometric values supplied for the profile are 3 documents, 0 citations, and an h-index of 0. ORCID provides a persistent researcher identifier for the profile.

Research Contributions

The publications cover complementary aspects of systems research. System Definition, System Worldviews, and Systemness Characteristics addresses conceptual foundations in systems thinking. Handling the COVID-19 crisis: Toward an agile model-based systems approach examines an agile model-based perspective for crisis management. More recently, Developing the systemic digital twin of an industrial enterprise with Σ addresses systemic digital-twin development for an industrial context. [1] [2] [3]

Publications

  1. Developing the systemic digital twin of an industrial enterprise with Σ. Digital Twin, 2026-01-26.
  2. Handling the COVID-19 crisis: Toward an agile model-based systems approach. Systems Engineering, 2020-09.
  3. System Definition, System Worldviews, and Systemness Characteristics. IEEE Systems Journal, 2020-06.

Research Impact

The supplied bibliometric snapshot records 0 citations and an h-index of 0. These values describe the available profile at the stated point in time and should be interpreted separately from the intellectual scope or potential future influence of the research. The publication record nevertheless demonstrates activity across established systems-engineering topics and an emerging digital-twin application.

Award Suitability

For an Innovative Research Award consideration, the documented record is relevant to engineering research involving systemic modelling, agile systems approaches, and digital-twin development. In particular, the 2026 publication connects systems thinking with the representation of an industrial enterprise, while the earlier publications establish related conceptual and methodological work. [1] [2]

Conclusion

KROB DANIEL’s documented research profile is centered on engineering and systems-oriented scholarship. The three supplied publications form a coherent record spanning systemness, model-based crisis response, and systemic digital twins. These works provide the principal documented basis for this academic recognition profile.

References

  1. Taylor & Francis. (2026). Developing the systemic digital twin of an industrial enterprise with Σ. Digital Twin.
    https://doi.org/10.1080/27525783.2026.2618303
  2. Wiley. (2020). Handling the COVID-19 crisis: Toward an agile model-based systems approach. Systems Engineering.
    https://doi.org/10.1002/sys.21557
  3. IEEE. (2020). System Definition, System Worldviews, and Systemness Characteristics. IEEE Systems Journal.
    https://doi.org/10.1109/JSYST.2019.2904116
  4. ORCID. (n.d.). ORCID record: KROB DANIEL, 0000-0003-4418-8300.
    https://orcid.org/0000-0003-4418-8300
  5. Computer Scientists Awards. (n.d.). Computer Scientists Awards official website.
    https://computerscientists.net/

Fatemeh Abtahi | Mathematics | Innovative Research Award

Published on by Computer Scientists Awards

Innovative Research Award

Fatemeh Abtahi
University of Isfahan, Iran

Fatemeh Abtahi
Affiliation University of Isfahan
Country Iran
Scopus ID 22033772300
Documents 45
Citations 179
h-index 8
Subject Area Mathematics
Event Computer Scientists Awards

Fatemeh Abtahi is a researcher affiliated with the University of Isfahan whose documented scholarly work is situated in mathematics, with particular emphasis on functional analysis, Banach algebras, Gelfand transforms, and related structural properties. Her listed research record includes publications addressing the Bochner-Eberlein-Doss (BED) property and BSE-type properties in algebraic and functional-analytic settings.

Abstract

Fatemeh Abtahi’s research profile reflects sustained activity in mathematical analysis and the theory of Banach function algebras. Her recent publications examine structural questions involving closed ideals, quotient algebras, Gelfand transforms, and BSE and BED properties. These subjects form part of the broader study of functional algebras and harmonic analysis. Her Scopus-listed record comprises 45 documents, 179 citations, and an h-index of 8 as provided for this recognition profile.

Keywords

Fatemeh Abtahi; Mathematics; functional analysis; Banach algebras; Banach function algebras; BSE property; BED property; Gelfand transform; quotient algebras; closed ideals.

Introduction

The study of Banach algebras investigates algebraic structures equipped with compatible norm and completeness properties. Within this field, BSE and BED properties provide frameworks for examining relationships among function algebras, their dual structures, and transformations. Abtahi’s recent publications address these themes through structural and transform-based investigations. [1]

Research Profile

The supplied bibliographic profile identifies Abtahi with the University of Isfahan and the subject area of Mathematics. Her documented output includes peer-reviewed articles published between 2024 and 2026, providing evidence of continuing research activity in functional analysis and related algebraic structures. [2]

Research Contributions

  • Investigation of closed ideals and quotient algebras in relation to the Bochner-Eberlein-Doss property.
  • Study of Gelfand transforms and BED properties for abstract Segal algebras.
  • Analysis of BSE properties in vector-valued Banach function algebras.

Publications

  • Closed ideals and quotient algebras, satisfying the Bochner-Eberlein-Doss property.
    Communications in Algebra, 2026. Fatemeh Abtahi, Fatemeh Doustmohammadi, and Bahram Ghasemi.[3]
  • On the structure of Gelfand transform and BED property for abstract Segal algebras.
    Filomat, 2025. Fatemeh Abtahi.[4]
  • The BSE property for some vector-valued Banach function algebras.
    Acta Mathematica Scientia, 2024. Fatemeh Abtahi, Ali Rejalisvg, and Farshad Sayaf.[5]

Research Impact

The supplied Scopus metrics record 179 citations across 45 documents, with an h-index of 8. Such bibliometric indicators provide quantitative information about the visibility of the listed research, although citation counts can vary by database, discipline, publication age, and indexing coverage. [1]

Award Suitability

For an academic recognition profile, the supplied record provides several documented dimensions for consideration, including institutional affiliation, indexed publications, citation activity, and a defined research specialization in Mathematics. The listed publications also demonstrate continuing engagement with specialized problems in functional analysis and Banach algebra theory. [3] [5]

Conclusion

Fatemeh Abtahi’s documented research profile is centered on mathematical analysis, particularly Banach algebras, functional algebras, Gelfand transforms, and BSE/BED properties. Her recent publications and supplied bibliometric indicators provide a structured basis for academic recognition within the Mathematics subject area.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Fatemeh Abtahi, Author ID 22033772300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=22033772300
  2. University of Isfahan. Institutional affiliation information supplied for the academic recognition profile.
  3. Abtahi, Fatemeh; Doustmohammadi, Fatemeh; Ghasemi, Bahram. (2026). Closed ideals and quotient algebras, satisfying the Bochner-Eberlein-Doss property. Communications in Algebra.
    https://doi.org/10.1080/00927872.2025.2547707
  4. Abtahi, Fatemeh. (2025). On the structure of Gelfand transform and BED property for abstract Segal algebras. Filomat.
    https://www.jstor.org/stable/27424436
  5. Abtahi, Fatemeh; Rejalisvg, Ali; Sayaf, Farshad. (2024). The BSE property for some vector-valued Banach function algebras. Acta Mathematica Scientia.
    https://doi.org/10.1007/s10473-024-0518-z
  6. Computer Scientists Awards. (n.d.). Academic recognition and award information.
    https://computerscientists.net/

PIYUSH YADAV | Renewable Energy Technologies | Best Researcher Award

Published on by Computer Scientists Awards

Best Researcher Award

PIYUSH YADAV
NIT Megahalaya, India

PIYUSH YADAV
Affiliation NIT Megahalaya
Country India
Scopus ID 57221158462
Documents 7
Citations 20
h-index 2
Subject Area Renewable Energy Technologies
Event Computer Scientists Awards
ORCID 0009-0003-6159-9686

PIYUSH YADAV is a researcher affiliated with NIT Megahalaya, India, whose documented research profile is associated with renewable energy technologies. The supplied bibliographic record identifies seven documents, 20 citations, and an h-index of 2 in Scopus. These indicators provide a quantitative overview of the indexed research record and should be interpreted in relation to publication age, disciplinary citation practices, and the scope of the researcher’s work. [1]

Abstract

The available research record places PIYUSH YADAV within the field of renewable energy technologies, with particular emphasis on solar-thermal desalination and solar still performance. The listed publications address computational and experimental considerations in solar still systems, including water-depth variation, computational fluid dynamics, automated thermal management, and continuous freshwater production. The record therefore provides evidence of research activity connecting renewable energy conversion with water sustainability. [2]

Keywords

  • Renewable Energy Technologies
  • Solar Still
  • Solar Desalination
  • Computational Fluid Dynamics
  • Freshwater Production

Introduction

Solar desalination research investigates methods for converting saline or contaminated water into freshwater using solar-derived thermal energy. Solar stills are among the established technologies in this area, while computational modelling can be used to examine heat transfer, evaporation, condensation, and system-performance parameters. Yadav’s listed work addresses these themes through a study of water depth under Shillong weather conditions and a later study involving hybrid photovoltaic-powered operation with automated cooling and heating. [3]

Research Profile

The supplied Scopus information records seven documents, 20 citations, and an h-index of 2. The research subject area is identified as Renewable Energy Technologies. The publication record presented for this profile contains both a conference paper and a journal article, illustrating activity across conference and journal dissemination channels. [1]

Research Contributions

The documented contributions focus on solar still design and performance evaluation. One study examines the influence of water depth using computational fluid dynamics for Shillong weather conditions, while the later journal article concerns a hybrid photovoltaic-powered double-slope solar still incorporating automated cooling and heating for continuous freshwater production. [2] [3]

Publications

  1. Standalone hybrid PV-powered double-slope solar still with automated cooling and heating for continuous freshwater production.
    Applied Thermal Engineering. Forthcoming publication date: October 2026.
  2. Effect of Variation of Water Depth on the Performance of a Double Slope Solar Still for Shillong Weather Condition – A CFD Study.
    Proceedings of the 27th National and 5th International ISHMT-ASTFE Heat and Mass Transfer Conference, IIT Patna, 2024.

Research Impact

The supplied bibliometric profile reports 20 citations and an h-index of 2. These metrics indicate that the indexed publication record has received citations within the relevant scholarly databases. Citation counts can change over time and may differ between indexing services; consequently, the figures should be understood as a time-specific bibliometric snapshot rather than a complete measure of research influence. [1]

Award Suitability

For consideration under the Best Researcher Award category, the available record documents a defined research area, indexed scholarly publications, citation activity, and work addressing renewable-energy-based freshwater production. The evidence can be evaluated alongside the award committee’s eligibility requirements, publication quality criteria, research originality, and other submitted documentation. This article does not independently determine award eligibility or selection.

Conclusion

PIYUSH YADAV’s documented research profile is centered on renewable energy technologies, with identified publications concerning solar still performance, CFD analysis, and hybrid photovoltaic-powered desalination. The supplied bibliometric record provides a concise quantitative description of the indexed research output, while the publication details provide context for the technical direction of the work.

References

  1. Elsevier. (n.d.). Scopus author details: PIYUSH YADAV, Author ID 57221158462. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57221158462
  2. Yadav, P. (2026). Standalone hybrid PV-powered double-slope solar still with automated cooling and heating for continuous freshwater production. Applied Thermal Engineering. DOI: 10.1016/j.applthermaleng.2026.133276.
    https://doi.org/10.1016/j.applthermaleng.2026.133276
  3. Yadav, P. (2024). Effect of Variation of Water Depth on the Performance of a Double Slope Solar Still for Shillong Weather Condition – A CFD Study. Proceedings of the 27th National and 5th International ISHMT-ASTFE Heat and Mass Transfer Conference. DOI: 10.1615/ihmtc-2023.1600.
    https://doi.org/10.1615/ihmtc-2023.1600
  4. ORCID. (n.d.). ORCID record for PIYUSH YADAV.
    https://orcid.org/0009-0003-6159-9686
  5. Crossref. (n.d.). DOI metadata record for 10.1016/j.applthermaleng.2026.133276.
    https://doi.org/10.1016/j.applthermaleng.2026.133276
  6. Crossref. (n.d.). DOI metadata record for 10.1615/ihmtc-2023.1600.
    https://doi.org/10.1615/ihmtc-2023.1600

Samaneh Eftekhari Mahabadi | Data Science and Analytics | Innovative Research Award

Published on by Computer Scientists Awards

Innovative Research Award

Samaneh Eftekhari Mahabadi
University of Tehran, Iran

Samaneh Eftekhari Mahabadi
Affiliation University of Tehran
Country Iran
Google Scholar ID nKYIHE8AAAAJ&hl
Documents 47
Citations 238
h-index 8
Subject Area Data Science and Analytics
Event Computer Scientists Awards
ORCID 0000-0001-8938-5864

Samaneh Eftekhari Mahabadi is a researcher affiliated with the University of Tehran whose reported scholarly record includes work in statistical modelling, missing-data methodology, machine learning, longitudinal inference, and applications involving clinical and financial data. The documented publication portfolio provides a basis for academic recognition in data science and analytics.

Abstract

The research record associated with Samaneh Eftekhari Mahabadi spans statistical computation, machine learning, missing-data imputation, competing-risks analysis, and Bayesian sensitivity analysis. Her publications address methodological questions that arise when incomplete, masked, or non-ignorable data affect statistical inference. These topics are relevant to modern data science because reliable analysis increasingly depends on methods capable of accounting for uncertainty and incomplete observations. [1]

Keywords

Data science; statistical modelling; machine learning; missing data; multiple imputation; Bayesian inference; longitudinal analysis; competing risks; sensitivity analysis; clinical trial data.

Introduction

Contemporary statistical research frequently combines computational techniques with rigorous inferential frameworks. Mahabadi’s documented publications reflect this intersection, particularly through supervised learning approaches to missing-data imputation and machine-learning methods for masked competing-risks data. [2] Such work contributes to methodological discussions concerning the validity and robustness of conclusions derived from incomplete datasets.

Research Profile

The supplied scholarly record reports 47 documents, 238 citations, and an h-index of 8. The stated subject area is Data Science and Analytics. Her research profile is characterized by methodological statistics and applications involving complex datasets, with publications appearing in journals and scholarly book collections. [1]

Research Contributions

  • Development and evaluation of approaches for missing-data imputation using supervised learning methods. [4]
  • Application of machine-learning algorithms to masked competing-risks data. [2]
  • Bayesian second-order sensitivity analysis addressing non-ignorability in longitudinal inference. [1]
  • Analysis of monetary policy and Islamic-bank stability under differing governance models. [3]

Publications

  1. Bayesian second-order sensitivity of longitudinal inferences to non-ignorability: an application to antidepressant clinical trial data. The International Journal of Biostatistics, 2024.  [1]
  2. Multiple imputation of masked competing risks data using machine learning algorithms. Journal of Statistical Computation and Simulation, 2022. [2]
  3. The Effects of Monetary Policy on the Stability of Islamic Banks with Different Governance Models: Case of Islamic Republic of Iran. 2021. [3]
  4. Missing data imputation using supervised learning methods. Journal of Statistical Modelling: Theory and Applications, 2021.  [4]

Research Impact

The reported citation count and h-index indicate that the publication record has received scholarly citations. More specifically, the documented research addresses recurring challenges in statistical analysis where missingness, masking, competing risks, or non-ignorability can influence inference. The supplied profile reports 238 citations across 47 documents, providing quantitative context for the recognition of this research record.

Award Suitability

For the Innovative Research Award, the documented combination of statistical methodology, machine learning, and applied research provides relevant evidence for consideration. The publication portfolio demonstrates engagement with methodological problems and their applications rather than relying on a single research theme. Final award decisions remain subject to the criteria and review procedures of the Computer Scientists Awards.

Conclusion

Samaneh Eftekhari Mahabadi’s documented research profile reflects sustained scholarly activity in data science and analytics, with particular emphasis on statistical inference, machine learning, and incomplete-data methodology. The cited publications provide a structured basis for evaluating her research contributions in the context of an academic recognition program.

References

  1. Eftekhari Mahabadi, S. et al. (2024). Bayesian second-order sensitivity of longitudinal inferences to non-ignorability: an application to antidepressant clinical trial data. The International Journal of Biostatistics.
    https://doi.org/10.1515/ijb-2022-0014
  2. Eftekhari Mahabadi, S. et al. (2022). Multiple imputation of masked competing risks data using machine learning algorithms. Journal of Statistical Computation and Simulation.
    https://doi.org/10.1080/00949655.2022.2063864
  3. Eftekhari Mahabadi, S. et al. (2021). The Effects of Monetary Policy on the Stability of Islamic Banks with Different Governance Models: Case of Islamic Republic of Iran. Monetary Policy, Islamic Finance, and Islamic Corporate Governance.
    https://doi.org/10.1108/978-1-80043-786-920211009
  4. Eftekhari Mahabadi, S. (2021). Missing data imputation using supervised learning methods. Journal of Statistical Modelling: Theory and Applications.
    http://jsm.yazd.ac.ir/article_2049.html
  5. ORCID. (n.d.). Samaneh Eftekhari Mahabadi, ORCID record.
    https://orcid.org/0000-0001-8938-5864
  6. Computer Scientists Awards. (n.d.). Computer Scientists Awards official website.
    https://computerscientists.net/

Firouz Matloubi Moghaddam | Decision Sciences | Best Researcher Award

Published on by Computer Scientists Awards

Best Researcher Award

Firouz Matloubi Moghaddam
Sharif University of Technology, Iran

Firouz Matloubi Moghaddam
Affiliation Sharif University of Technology
Country Iran
Scopus ID 7003600166
Documents 178
Citations 4,224
h-index 33
Subject Area Decision Sciences
Event Computer Scientists Awards
ORCID 0000-0002-8418-9888

Firouz Matloubi Moghaddam is a researcher affiliated with Sharif University of Technology, Iran, whose bibliographic profile is identified by Scopus Author ID 7003600166. The supplied research record reports 178 documents, 4,224 citations and an h-index of 33. These indicators provide a quantitative overview of the publication and citation record associated with the researcher. [1]

Abstract

This academic recognition profile summarizes the reported research record of Firouz Matloubi Moghaddam in the context of the Best Researcher Award. The supplied publication evidence includes recent studies involving cycloaddition chemistry, ionic liquids, nanocatalysis, heterocyclic synthesis, biological activity and photoluminescent materials. The record indicates continuing scholarly activity across chemically oriented research topics relevant to interdisciplinary decision and research sciences. [2]

Keywords

Decision Sciences; Organic Chemistry; Cycloaddition; Ionic Liquids; Nanocatalysis; Heterocyclic Chemistry; Biological Activity; Photoluminescence; Research Impact; Scholarly Publications.

Introduction

Researcher profiles combine bibliographic indicators with evidence from individual scholarly publications. In this case, the supplied record identifies Sharif University of Technology as the institutional affiliation and Decision Sciences as the designated subject area. Recent publications demonstrate work spanning synthetic methodologies, catalytic systems and biological evaluation. [3]

Research Profile

The reported Scopus record comprises 178 documents and 4,224 citations, with an h-index of 33. These values are bibliometric descriptors rather than independent measures of research quality and should be interpreted alongside publication content, authorship, venue, and disciplinary context. [1]

Research Contributions

The supplied publications indicate contributions to synthetic organic chemistry and related interdisciplinary applications. Topics include 1,3-dipolar cycloaddition in ionic liquids, nanocatalyst-assisted synthesis, PARP-1 inhibitory evaluation, regio- and diastereoselective reactions, and photoluminescent properties. [4]

Publications

  1. “Synthesis of spiro acenaphthylene pyrrolizidine and pyrrolidine compounds via 1,3-dipolar cycloaddition in ionic liquid and the investigation of their biological activity as potent α-glucosidase inhibitors.” Journal of Ionic Liquids, 2026.
  2. “Design and synthesis of novel phthalazine and benzofuran scaffolds using CoFe₂O₄@CNSCu nanocatalyst: Evaluation of PARP-1 inhibitory activity.” Journal of Organometallic Chemistry, 2026.
  3. “Regio- and diastereoselective synthesis of indeno-quinoxaline-thiazolidine-2-thione and bis-indeno-quinoxaline-dicarbamodithioate derivatives, along with an investigation of their photoluminescent properties and potential applications.” Tetrahedron, 2025.
  4. “Base catalyzed abnormal [3+2]-cycloaddition reaction of isatin N,N′-cyclic azomethine imine with malononitrile via C-3 umpolung of oxindole.” Journal of Molecular Structure, 2024.

Research Impact

The reported citation count and h-index provide measurable indicators of scholarly visibility within the indexed record. The publication list further shows research appearing in established chemistry journals and addressing methodological as well as application-oriented questions. Individual article impact should be assessed using article-level citation and usage data in addition to aggregate indicators. [5]

Award Suitability

For the Best Researcher Award profile, the documented indicators and supplied publications provide identifiable evidence for consideration of research productivity, citation activity and recent scholarly contributions. Award assessment remains dependent on the applicable criteria and review process of Computer Scientists Awards rather than on bibliometric indicators alone.

Conclusion

Firouz Matloubi Moghaddam’s supplied academic record combines a substantial indexed publication history with recent research addressing synthetic chemistry, catalytic methodologies and biological applications. The reported Scopus indicators and publication evidence form the principal documented basis of this academic recognition profile.

References

  1. Elsevier. (n.d.). Scopus author details: Firouz Matloubi Moghaddam, Author ID 7003600166. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7003600166
  2. Journal of Ionic Liquids. (2026). Synthesis of spiro acenaphthylene pyrrolizidine and pyrrolidine compounds via 1,3-dipolar cycloaddition in ionic liquid and the investigation of their biological activity as potent α-glucosidase inhibitors.
    https://doi.org/10.1016/j.jil.2026.100187
  3. Journal of Organometallic Chemistry. (2026). Design and synthesis of novel phthalazine and benzofuran scaffolds using CoFe₂O₄@CNSCu nanocatalyst: Evaluation of PARP-1 inhibitory activity.
    https://doi.org/10.1016/j.jorganchem.2025.123997
  4. Tetrahedron. (2025). Regio- and diastereoselective synthesis of indeno-quinoxaline-thiazolidine-2-thione and bis-indeno-quinoxaline-dicarbamodithioate derivatives, along with an investigation of their photoluminescent properties and potential applications.
    https://doi.org/10.1016/j.tet.2025.134708
  5. Journal of Molecular Structure. (2024). Base catalyzed abnormal [3+2]-cycloaddition reaction of isatin N,N′-cyclic azomethine imine with malononitrile via C-3 umpolung of oxindole.
    https://doi.org/10.1016/j.molstruc.2023.137206
  6. ORCID. (n.d.). Firouz Matloubi Moghaddam, ORCID 0000-0002-8418-9888.
    https://orcid.org/0000-0002-8418-9888

Mohsen Goodarzi | Engineering | Best Researcher Award

Published on by Computer Scientists Awards

Best Researcher Award

Mohsen Goodarzi
Bu-Ali Sina University, Iran

Mohsen Goodarzi
Affiliation Bu-Ali Sina University
Country Iran
Google Scholar ID zCHbDWIAAAAJ
Documents 55
Citations 946
h-index 16
Subject Area Engineering
Event Computer Scientists Awards
ORCID 0000-0002-0321-2135

Mohsen Goodarzi is an engineering researcher affiliated with Bu-Ali Sina University in Iran. The supplied research record identifies 55 documents, 946 citations, and an h-index of 16. His recent publication activity addresses thermal engineering, natural-draft dry cooling systems, wind-energy conversion, and numerical analysis of rotating devices.

Abstract

The research profile presented here concerns engineering studies involving thermal performance, natural-draft dry cooling towers, Savonius wind turbines, and computational assessment of fluid-flow systems. Recent publications demonstrate a continuing focus on numerical investigation and performance evaluation. The record includes work published in Results in Engineering, Ocean Engineering, and Energy Sources, Part A, together with a 2026 preprint. [1]

Keywords

Natural draft dry cooling; thermal engineering; crosswind; Savonius turbine; computational fluid dynamics; renewable energy; engineering performance analysis.

Introduction

Goodarzi’s recent research is situated at the intersection of thermal-fluid engineering and renewable-energy technologies. Studies of dry cooling towers consider how geometric arrangements and environmental conditions influence thermal performance, while turbine research examines aerodynamic behavior, power generation, and force fluctuations. [2]

Research Profile

The supplied bibliometric record reports 55 documents, 946 citations, and an h-index of 16. These indicators provide quantitative context for the research record but do not independently measure methodological quality or the significance of individual contributions.

Research Contributions

  • Assessment of radiator-periphery arrangements in side-by-side natural-draft dry cooling towers under crosswind conditions.
  • Comparative numerical analysis of tandem natural-draft dry cooling towers with elliptical cross sections.
  • Investigation of end-plate effects on finite-height Savonius turbine performance.
  • Numerical examination of power generation and force fluctuations in side-by-side Savonius rotors.

Publications

  • Impact of radiators periphery arrangement on thermal performance of side-by-side natural draft dry cooling towers under crosswind conditions
    Publication date: 2026-06
    Journal: Results in Engineering
    Type: journal article
  • Comparative study on performance of two tandem natural draft dry cooling towers with elliptical cross sections
    Publication date: 2026
    Type: preprint
  • Numerical assessment of the effect of different end-plates on the performance of a finite-height Savonius turbine
    Publication date: 2025-06-16
    Journal: Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
    Type: journal article
  • Numerical study on power generation versus force fluctuation of two side-by-side Savonius rotors
    Publication date: 2024-03
    Journal: Ocean Engineering
    Type: journal article

Research Impact

The reported citation count and h-index indicate measurable bibliometric visibility. The publication topics also address practical engineering questions involving cooling infrastructure and wind-energy conversion. Citation indicators should, however, be interpreted alongside publication quality, field norms, authorship, and research context. [5]

Award Suitability

For a Best Researcher Award profile, the documented publication record, engineering subject focus, reported bibliometric indicators, and recent peer-reviewed research provide identifiable criteria for academic consideration. Final recognition remains dependent on the applicable award committee’s eligibility requirements and assessment procedures. [6]

Conclusion

Mohsen Goodarzi’s supplied academic record reflects sustained engineering research spanning thermal systems, dry cooling technology, and wind-energy conversion. His recent publications provide a focused basis for documenting research activity and bibliometric visibility within engineering.

References

  1. Elsevier. (n.d.). Research publication record for Mohsen Goodarzi.
    Author profile
  2. Goodarzi, M. et al. (2026). Impact of radiators periphery arrangement on thermal performance of side-by-side natural draft dry cooling towers under crosswind conditions. Results in Engineering.
    https://doi.org/10.1016/j.rineng.2026.110134
  3. Goodarzi, M. et al. (2026). Comparative study on performance of two tandem natural draft dry cooling towers with elliptical cross sections. Preprint.
    https://doi.org/10.2139/ssrn.6800350
  4. Goodarzi, M. et al. (2025). Numerical assessment of the effect of different end-plates on the performance of a finite-height Savonius turbine. Energy Sources, Part A.
    https://doi.org/10.1080/15567036.2021.1976324
  5. Goodarzi, M. et al. (2024). Numerical study on power generation versus force fluctuation of two side-by-side Savonius rotors. Ocean Engineering.
    https://doi.org/10.1016/j.oceaneng.2024.117086
  6. Computer Scientists Awards. (2026). Awards and researcher recognition information.
    https://computerscientists.net/

Luis Manuel Díaz Angulo | Cosmology and Physics | Best Researcher Award

Published on by Computer Scientists Awards

Best Researcher Award

Luis Manuel Díaz Angulo
Universidad de Granada, Spain

Luis Manuel Díaz Angulo is a researcher affiliated with the Universidad de Granada, Spain, whose documented research profile includes work in cosmology and physics and computational methods for electromagnetic problems. His publication record includes recent studies of finite-difference time-domain (FDTD), discontinuous Galerkin time-domain (DGTD), multiconductor transmission-line methods, and computational analysis of Maxwell’s equations.

Luis Manuel Díaz Angulo
Affiliation Universidad de Granada
Country Spain
Scopus ID 35866858300
Documents 53
Citations 723
h-index 14
Subject Area Cosmology and Physics
Event Computer Scientists Awards
ORCID 0000-0002-1690-7892

Abstract

This article presents a scholarly recognition profile for Luis Manuel Díaz Angulo in connection with the Best Researcher Award. The profile records the supplied bibliometric indicators and selected recent publications concerning computational electromagnetics, numerical schemes, and transmission-line modelling. The available record identifies 53 documents, 723 citations, and an h-index of 14 under Scopus author identifier 35866858300. [1]

Keywords

Computational electromagnetics; Maxwell’s equations; FDTD; DGTD; multiconductor transmission lines; numerical computation; electromagnetic compatibility; LTI systems; circuit simulation; cosmology and physics.

Introduction

Díaz Angulo’s supplied publication record demonstrates activity at the intersection of mathematical modelling, numerical computation, and electromagnetic simulation. His recent work addresses the stability, accuracy, computational performance, and coupling of numerical methods used to represent electromagnetic systems. These subjects are relevant to computational physics and engineering applications involving Maxwell’s equations and transmission-line models. [2]

Research Profile

The supplied bibliometric profile associates the researcher with Universidad de Granada and the subject area of Cosmology and Physics. The reported Scopus record contains 53 documents, 723 citations, and an h-index of 14. These indicators provide quantitative information about the indexed publication and citation record but do not independently measure the quality or significance of individual research contributions. [1]

Research Contributions

  • Analysis of local stability for FDTD and DGTD schemes using linear time-invariant systems theory.
  • Evaluation of accuracy and computational performance across different DGTD implementations for Maxwell’s equations.
  • Numerical computation of in-cell parameters for unshielded multiwire structures and coupling between FDTD and multiconductor transmission-line methods.
  • Hybrid integration of a multiconductor transmission-line solver with Ngspice for line interconnections and terminations.

Publications

  1. Local stability of FDTD and DGTD schemes for Maxwell’s equations using LTI systems theory
    • Publication date: November 2026
    • Journal: Computers & Mathematics with Applications
    • Type: Journal Article
  2. An Accuracy and Computational Performance Study of Basis, Operator, and Curvilinear Implementations of DGTD for Maxwell’s Equations
    • Publication date: September 2026
    • Journal: IEEE Transactions on Antennas and Propagation
    • Type: Journal Article
  3. Numerical Computation of Unshielded Multiwires In-Cell Parameters for Coupling Between FDTD and MTL Methods Using Multipolar Expansions
    • Publication date: 2026
    • Journal: IEEE Transactions on Electromagnetic Compatibility
    • Type: Journal Article
  4. Hybridization of Multiconductor Transmission Line Solver With Circuit Solver Ngspice to Treat Line Interconnections and Terminations
    • Publication date: 2025
    • Journal: IEEE Transactions on Electromagnetic Compatibility
    • Type: Journal Article

Research Impact

The reported citation count and h-index indicate that the indexed research has accumulated measurable scholarly attention. The recent publications further show continuity in numerical electromagnetic modelling, including stability analysis, implementation comparisons, electromagnetic compatibility, and circuit coupling. [1]

Award Suitability

For the Best Researcher Award profile, the supplied record provides several documented evaluation dimensions: an indexed publication record, citation activity, h-index, institutional affiliation, and recent peer-reviewed research outputs. These materials can support an award committee’s independent assessment of research productivity, relevance, and scholarly contribution. The numerical indicators should be considered together with publication quality, authorship, originality, and other criteria established by the relevant award process.

Conclusion

Luis Manuel Díaz Angulo’s supplied profile documents research activity associated with computational electromagnetics and physics, supported by 53 indexed documents, 723 citations, and an h-index of 14. The listed 2025–2026 publications demonstrate continuing work on numerical methods for Maxwell’s equations and electromagnetic-system modelling. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Luis Manuel Díaz Angulo, Author ID 35866858300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=35866858300
  2. Universidad de Granada. (n.d.). Research and institutional information.
  3. Díaz Angulo, L. M. (2026). Local stability of FDTD and DGTD schemes for Maxwell’s equations using LTI systems theory. Computers & Mathematics with Applications.
    https://doi.org/10.1016/j.camwa.2026.09.006
  4. Díaz Angulo, L. M. (2026). An Accuracy and Computational Performance Study of Basis, Operator, and Curvilinear Implementations of DGTD for Maxwell’s Equations. IEEE Transactions on Antennas and Propagation.
    https://doi.org/10.1109/TAP.2026.3701027
  5. Díaz Angulo, L. M. (2026). Numerical Computation of Unshielded Multiwires In-Cell Parameters for Coupling Between FDTD and MTL Methods Using Multipolar Expansions. IEEE Transactions on Electromagnetic Compatibility.
    https://doi.org/10.1109/TEMC.2026.3713195
  6. Díaz Angulo, L. M. (2025). Hybridization of Multiconductor Transmission Line Solver With Circuit Solver Ngspice to Treat Line Interconnections and Terminations. IEEE Transactions on Electromagnetic Compatibility.
    https://doi.org/10.1109/TEMC.2025.3560361

Adedoyin Adeyemi | Machine Learning | Innovative Research Award

Published on by Computer Scientists Awards

Innovative Research Award

Adedoyin Adeyemi
Federal University of Technology, Akure, Nigeria

Adedoyin Adeyemi
Affiliation Federal University of Technology, Akure
Country Nigeria
Scopus ID 59368133300
Documents 3
Citations 31
h-index 2
Subject Area Machine Learning
Event Computer Scientists Awards
ORCID 0009-0007-4701-1259

Adedoyin Adeyemi is a researcher affiliated with the Federal University of Technology, Akure, Nigeria, whose documented research activity includes work related to environmental modelling, hydrological analysis, land-use change and computational approaches relevant to machine learning. Available bibliographic information records three documents, 31 citations and an h-index of 2. These indicators provide a quantitative overview of the researcher’s indexed scholarly output and citation activity.

Abstract

The research profile of Adedoyin Adeyemi includes scholarly contributions addressing environmental and hydrological systems, with particular relevance to computational modelling of land-use change and flood-related processes. Recent collaborative research examines urbanization-driven land-cover change and floodplain transformation in the Ogun River Basin using HAND and CA-Markov models, as well as hydrological responses and flood hazards under projected climate and land-use change. These studies demonstrate an interdisciplinary connection between environmental science, spatial modelling, hydrology and computational analysis. [1] [2]

Keywords

  • Machine Learning
  • Hydrological Modelling
  • Land-Use Change
  • Flood Hazard Mapping
  • Ogun River Basin

Introduction

Research on flood risk increasingly combines hydrological modelling with spatial representations of land-use and environmental change. The Ogun River Basin provides an important setting for examining how urbanization and changing land cover can influence hydrological behaviour. Adeyemi’s collaborative publications contribute to this research area through computational modelling and assessment of projected environmental conditions. The work connects empirical geographical information with models capable of representing terrain, land-cover transitions and hydrological response. [1] [2]

Research Profile

Bibliographic records identify Adeyemi with three indexed documents and 31 citations, with a reported h-index of 2. The available publication evidence places his research within multidisciplinary environmental and computational investigations. Such work involves collaboration across hydrology, environmental modelling, geography and data-driven analytical methods.

Research Contributions

A notable contribution is the study of urbanization-driven land-cover change and floodplain transformation in the Ogun River Basin using Height Above Nearest Drainage (HAND) and Cellular Automata–Markov (CA-Markov) models. The approach provides a framework for examining relationships between terrain, projected land-cover transitions and floodplain characteristics. [1]

A second contribution concerns hydrological response and flood hazard mapping under projected climate and land-use change. Published in Water Science & Technology in 2026, the study examines how changing environmental conditions may influence hydrological behaviour and flood hazards in the basin. [2]

Publications

  1. “Urbanization driven land cover change and floodplain transformation in the Ogun River Basin using HAND and CA-Markov models.
  2. “Hydrological response and flood hazard mapping of the Ogun River Basin under projected climate and land-use change.” Water Science & Technology, 2026-05-15.

Research Impact

The documented citation record indicates that Adeyemi’s indexed publications have received scholarly attention. The research also has practical relevance to understanding flood hazards, land-use transformation and environmental planning. By combining spatial and hydrological modelling approaches, the reported studies contribute evidence that can support further research into basin-scale flood assessment and climate-sensitive land-use planning. [2]

Award Suitability

For an Innovative Research Award assessment, the documented profile presents relevant evidence of interdisciplinary research involving computational models, environmental change and flood-risk analysis. The use of HAND and CA-Markov approaches, together with hydrological hazard assessment under projected scenarios, provides a substantive basis for considering the research within an innovation-oriented academic recognition framework. Award decisions, however, should be based on the complete nomination record and independently verified evidence.

Conclusion

Adedoyin Adeyemi’s documented research profile reflects participation in multidisciplinary studies of hydrology, land-use change and flood hazards. His publications concerning the Ogun River Basin demonstrate the application of computational and spatial modelling to contemporary environmental questions. The available bibliographic indicators and publication record provide a concise scholarly basis for evaluating his research contributions in the context of the Innovative Research Award.

References

  1. Springer Nature. (2026). Urbanization driven land cover change and floodplain transformation in the Ogun River Basin using HAND and CA-Markov models.
    https://doi.org/10.1007/s44288-026-00529-y
  2. IWA Publishing. (2026). Hydrological response and flood hazard mapping of the Ogun River Basin under projected climate and land-use change. Water Science & Technology.
    https://doi.org/10.2166/wst.2026.274
  3. Elsevier. (n.d.). Scopus author details: Adedoyin Adeyemi, Author ID 59368133300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59368133300
  4. ORCID. (n.d.). Adedoyin Adeyemi, ORCID iD 0009-0007-4701-1259.
    https://orcid.org/0009-0007-4701-1259
  5. Computer Scientists Awards. (n.d.). Award and nomination information.
    https://computerscientists.net/