Akhilesh Yadav | Education | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

Akhilesh Yadav
Affiliation University of Delhi
Country India
Subject Area Education
Event Global Scholar Awards
ORCID 0000-0002-3292-7957

Akhilesh Yadav is affiliated with the University of Delhi, India, and is presented in this academic recognition profile in the field of Education. The Best Researcher Award recognizes scholarly activity, research contributions, publication development, and potential academic impact. This profile summarizes the available researcher information while distinguishing verified supplied details from bibliometric information that has not been provided.

Abstract

Akhilesh Yadav, affiliated with the University of Delhi, India, is profiled for academic activity within Education and considered in relation to the Best Researcher Award. The profile highlights scholarly development, research contributions, publication relevance, academic visibility, and potential research impact. Available information identifies the researcher’s institutional affiliation, subject area, ORCID record, and association with Global Scholar Awards. Bibliometric indicators such as Scopus documents, citations, and h-index have not been supplied and are therefore not assigned numerical values. The profile provides a neutral academic overview intended to support recognition, contextual assessment, and transparent presentation of researcher credentials and scholarly interests.

Keywords

Education; educational research; teaching and learning; pedagogy; higher education; curriculum development; educational technology; academic research; learning outcomes; teacher education; educational innovation; scholarly communication; research methodology; evidence-based education; publication impact; interdisciplinary education; academic collaboration; educational development; research excellence.

Introduction

Akhilesh Yadav represents an academic profile associated with the University of Delhi and the broad discipline of Education. Educational research encompasses the systematic study of learning, teaching, institutions, curriculum, policy, assessment, and related social processes. Scholarly evaluation commonly considers the quality and relevance of research outputs alongside evidence of academic contribution and dissemination. [1]

Research Profile

Akhilesh Yadav has an academic profile situated within Education at the University of Delhi, India. The supplied information establishes the institutional and disciplinary context, while the ORCID identifier provides a persistent scholarly identity mechanism. Research profiles can support attribution, discoverability, and linkage among academic outputs, although complete bibliometric interpretation requires verified publication and citation records. [2]

Research Contributions

Akhilesh Yadav may be evaluated through the relevance, methodological quality, originality, and educational significance of documented research outputs. Within Education, meaningful contributions can address learning processes, teaching practices, curriculum, assessment, institutional development, or emerging educational challenges. Specific contribution claims should remain grounded in verified publications and supporting evidence rather than inferred from affiliation alone. [3]

Publications

Akhilesh Yadav has not been supplied with a publication list, article titles, journal details, citation counts, or DOI records in the source information for this profile. Consequently, no specific publication is attributed here. For academic assessment, publication evidence should be verified through authoritative bibliographic records, including article metadata, journal information, DOI registration, and author attribution where available. [4]

Research Impact

Akhilesh Yadav can have research impact assessed through documented scholarly influence, dissemination, citation activity, educational relevance, collaboration, and practical application. Such assessment should distinguish quantitative bibliometric indicators from qualitative evidence of contribution. Because verified citation and h-index data were not supplied, this profile does not assign numerical impact measures and instead presents a transparent framework for subsequent evidence-based evaluation.

Award Suitability

Akhilesh Yadav is presented as a candidate profile for the Best Researcher Award within Education, based on the supplied institutional affiliation and subject-area information. A formal award assessment should consider originality, research quality, publication record, scholarly influence, academic contribution, and supporting evidence. Final suitability should be determined according to the applicable evaluation framework and verified documentation.

Conclusion

Akhilesh Yadav is associated with the University of Delhi and the field of Education, with an ORCID identifier supplied for scholarly identification. The available information supports a concise academic recognition profile but does not provide sufficient bibliometric or publication evidence for detailed quantitative conclusions. Additional verified research records would strengthen assessment of scholarly contribution, research impact, and award suitability.

References

    1. Akhilesh Yadav. (n.d.). Parent and teacher endorsement towards child protection and the POCSO Act: A study in rural Indian educational settings.

      https://doi.org/10.1016/j.childyouth.2026.109229

    2. ORCID. (n.d.). ORCID: Akhilesh Yadav. ORCID.
      https://orcid.org/0000-0002-3292-7957
    3. Yadav, A. (n.d.). A content analysis of inclusion in NCERT’s Exploring Society: India and Beyond (Class 6 social science textbook).
      https://www.sciencepublishinggroup.com/article/10.11648/j.ijse.20250901.11
    4. Yadav, A. (n.d.). A study of teachers’ attitudes towards the education of a child with physically impairment students at the higher secondary level.
      https://www.sciencepublishinggroup.com/article/10.11648/j.tecs.20200502.11

Eun Mee Lim | Education | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Eun Mee Lim
Affiliation Sungkyul University
Country South Korea
Scopus ID 55273849400
Documents 5
Citations
199
h-index 4
Subject Area Education
Event Global Scholar Awards
ORCID 0000-0002-1878-3512

Eun Mee Lim – Sungkyul University

Eun Mee Lim is an academic affiliated with Sungkyul University, South Korea, whose scholarly activities primarily contribute to the field of education. Through publications indexed in international academic databases, the researcher has demonstrated continuing engagement with educational innovation, curriculum development, teacher education, and learning methodologies. The academic profile reflects sustained participation in scholarly communication and supports recognition through the Global Scholar Awards for contributions that advance educational research and evidence-based academic practice.[1]

Abstract

Eun Mee Lim has established a scholarly profile centered on educational research that emphasizes effective teaching practices, curriculum innovation, learner engagement, and educational development. Academic publications demonstrate continued participation in evidence-based investigations addressing contemporary educational challenges through systematic inquiry and practical application. The research reflects interdisciplinary perspectives supporting instructional improvement, educational policy, and professional learning while encouraging collaboration among researchers and educators. International indexing enhances research accessibility, strengthens scholarly visibility, and promotes academic exchange. These sustained contributions collectively support recognition through the Innovative Research Award for advancing educational knowledge and meaningful scholarly communication.[2]

Keywords

Education, Teacher Education, Curriculum Development, Educational Innovation, Learning Outcomes, Higher Education, Educational Technology, Student Learning, Instructional Design, Academic Research.

Introduction

Eun Mee Lim contributes educational scholarship through studies examining teaching quality, curriculum effectiveness, learning innovation, and educational improvement. Research activities emphasize practical relevance while maintaining academic rigor, supporting educators, institutions, and policymakers seeking evidence-informed approaches that strengthen educational environments and encourage sustainable academic development across diverse learning contexts.[3]

Research Profile

Eun Mee Lim maintains an internationally indexed academic profile demonstrating consistent publication activity within education. Scholarly outputs highlight methodological quality, collaborative engagement, and dissemination through recognized academic platforms, reflecting continuing commitment to educational advancement, professional scholarship, and internationally accessible research contributing to educational knowledge.[1]

Research Contributions

Eun Mee Lim contributes research addressing curriculum enhancement, instructional effectiveness, educational innovation, and learner-centered methodologies. Published studies encourage evidence-based educational practices while expanding understanding of contemporary teaching strategies, supporting institutional development, and fostering academic collaboration within higher education and professional educational communities internationally.[4]

Publications

Eun Mee Lim has produced scholarly publications indexed through internationally recognized databases, reflecting research quality and sustained academic productivity. Published work demonstrates engagement with educational themes while contributing valuable evidence supporting instructional improvement, curriculum development, educational policy discussions, and future interdisciplinary educational investigations.[2]

Research Impact

Eun Mee Lim demonstrates measurable scholarly influence through internationally indexed publications that support educational discourse and encourage knowledge dissemination. Research visibility contributes to academic engagement, interdisciplinary collaboration, and wider accessibility, strengthening educational scholarship while supporting evidence-based improvements within higher education and professional learning environments.[3]

Award Suitability

Eun Mee Lim demonstrates qualities aligned with the Innovative Research Award through sustained educational scholarship, internationally indexed publications, and meaningful academic contributions. The research portfolio reflects originality, scholarly integrity, and educational relevance, supporting recognition for advancing educational knowledge and encouraging continued international academic collaboration.[4]

Conclusion

Eun Mee Lim continues contributing to educational research through scholarly publications emphasizing educational quality, innovation, and academic excellence. The sustained commitment to evidence-based scholarship supports international visibility and reflects the characteristics expected of researchers recognized by the Global Scholar Awards for distinguished academic achievement.[1]

External Links

References

  1. Scopus Author Profile. Eun Mee Lim.
    https://www.scopus.com/authid/detail.uri?authorId=55273849400
  2. ORCID. Eun Mee Lim Research Profile.
    https://orcid.org/0000-0002-1878-3512
  3. ResearchGate. (n.d.). Eun Mee Lim Research Profile.
    https://www.researchgate.net/profile/Eun-Mee-Lim
  4. Global Scholar Awards. Available at:
    https://globalscholarawards.com/

Shahid Latif | Computer Science | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Shahid Latif
University of the West of England, United Kingdom

Shahid Latif
Researcher Shahid Latif
Affiliation University of the West of England
Country United Kingdom
Scopus ID 57216963065
Documents 42
Citations 1,494
h-index 14
Subject Area Computer Science
Event Global Scholar Awards
ORCID 0000-0002-6368-2729

The Innovative Research Award recognizes the scholarly achievements and research contributions of Shahid Latif from the University of the West of England, United Kingdom. The recognition highlights academic engagement within the field of Computer Science and acknowledges contributions to interdisciplinary technological research, scientific dissemination, and internationally indexed scholarly communication.[1] The award reflects measurable academic visibility through citation performance, publication activity, and collaborative research participation within global scientific communities.[2]

Abstract

Shahid Latif maintains an internationally visible academic research profile associated with Computer Science and interdisciplinary technological innovation. The researcher’s scholarly activities include peer-reviewed publication, citation-based impact, and international research dissemination through recognized academic platforms.[1] Research visibility and scholarly engagement are further supported through academic identifiers and professional research networking systems.[2]

Keywords

  • Computer Science
  • Artificial Intelligence
  • Research Innovation
  • Scholarly Publications
  • Academic Impact
  • Scopus Indexed Research
  • Interdisciplinary Technology

Introduction

Academic recognition frameworks are designed to acknowledge scholarly excellence, publication visibility, research dissemination, and interdisciplinary scientific contribution. The Innovative Research Award associated with the Global Scholar Awards recognizes researchers demonstrating measurable academic impact and engagement within internationally indexed research environments.[1] Shahid Latif’s academic profile reflects sustained participation in Computer Science research and collaborative technological inquiry. Citation indicators, indexed publications, and scholarly networking profiles collectively demonstrate academic engagement and scientific communication within contemporary research systems.[3]

Research Profile

Shahid Latif is affiliated with the University of the West of England in the United Kingdom and maintains an internationally indexed Scopus author profile documenting research output, citations, and scholarly visibility.[1] The profile currently reflects forty-two indexed documents, 1,494 citations, and an h-index value of fourteen, indicating active scholarly participation and measurable academic impact. Research activities associated with the scholar are connected to Computer Science, intelligent systems, computational innovation, and interdisciplinary technological applications. Scholarly communication through international academic databases supports discoverability and global research accessibility.

Research Contributions

The scholarly contributions associated with Shahid Latif include participation in peer-reviewed research publication, citation-based dissemination, and interdisciplinary computational investigation. Indexed publications contribute to international scientific accessibility and broader academic communication within technological research communities.[1]

  • Contribution to peer-reviewed scientific publication and interdisciplinary research dissemination.
  • Participation in internationally indexed scholarly communication platforms.
  • Research engagement in intelligent computational systems and technological innovation.
  • Support for collaborative scientific inquiry and citation-based academic impact.

Publications

The Scopus author profile associated with Shahid Latif documents scholarly outputs indexed through internationally recognized academic databases.[1] Publication activity contributes to citation-based evaluation, academic visibility, and interdisciplinary scientific communication.[4]  Professional research identifiers including ORCID, Google Scholar, and ResearchGate profiles support discoverability, verification, and accessibility of scholarly contributions within international academic systems.[2][3]

  1. Research articles related to Computer Science and intelligent computational systems.
  2. Peer-reviewed journal and conference publications indexed within scholarly databases.
  3. Academic outputs contributing to citation-based dissemination and scientific accessibility.

Research Impact

Research impact is commonly evaluated through publication visibility, citation activity, scholarly accessibility, and interdisciplinary relevance. Citation metrics associated with Shahid Latif demonstrate measurable engagement within the international research community and broader scientific communication networks.[1] Academic recognition through international award frameworks may support collaboration, institutional engagement, and continued participation in global research initiatives associated with Computer Science and technological innovation.

Award Suitability

The academic profile of Shahid Latif reflects characteristics commonly associated with scholarly recognition programs, including indexed publication activity, measurable citation performance, interdisciplinary engagement, and participation in internationally visible research dissemination systems.[1] Research visibility through professional academic identifiers and scholarly networking systems further supports recognition within contemporary scientific communication environments.[2][4]

Conclusion

Shahid Latif’s scholarly profile demonstrates sustained participation in academic publication, interdisciplinary technological inquiry, and international research dissemination associated with Computer Science and innovation-oriented scientific investigation. Indexed publications, citation indicators, and professional academic profiles collectively support visibility within global scholarly systems.[1] The Innovative Research Award represents recognition of ongoing scholarly engagement, academic communication, and participation in internationally recognized research environments supported through citation databases and professional research identification systems.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Shahid Latif, Author ID 57216963065. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57216963065
  2. ORCID. (n.d.). ORCID researcher profile for Shahid Latif.
    https://orcid.org/0000-0002-6368-2729
  3. Google Scholar. (n.d.). Scholar profile of Shahid Latif.
    https://scholar.google.com/citations?user=CThRoJQAAAAJ&hl=en
  4. ResearchGate. (n.d.). ResearchGate profile of Shahid Latif.
    https://www.researchgate.net/profile/Shahid-Latif-11

Yonghuang Wu | Computer Science | Research Excellence Award

Published on by Global Scholar Awards

Research Excellence Award

Yonghuang Wu
Fudan University, China

Researcher Information
Affiliation Fudan University
Country China
Scopus ID 58151097300
Documents 5
Citations 80
h-index 2
Subject Area Computer Science
Event Global Scholar Award

The Research Excellence Award recognition profile for Mr. Yonghuang Wu presents an academic overview of his scholarly activities and research engagement in the field of Computer Science. Affiliated with Fudan University, China, Mr. Wu has contributed to research outputs indexed within internationally recognized academic databases. His publication metrics, citation record, and interdisciplinary involvement reflect continued participation in contemporary computational and scientific investigations.[1][3]

Abstract

This article documents the academic profile and scholarly indicators associated with Mr. Yonghuang Wu of Fudan University. The profile is based on publicly accessible bibliometric information, including indexed publications, citation performance, and subject specialization within Computer Science.[1][2]

Keywords

Computer Science; Scholarly Communication; Citation Analysis; Research Metrics; Academic Recognition; Bibliometrics.[1]

Introduction

Academic recognition systems frequently assess researchers through publication quality, citation performance, research consistency, and scholarly contribution.[2][4]

Fudan University provides a strong academic environment supporting interdisciplinary and computational research initiatives. Mr. Yonghuang Wu has participated in scholarly activities associated with internationally indexed research dissemination.[1][4]

Research Profile

Mr. Yonghuang Wu is affiliated with Fudan University in China and is associated with research activities in Computer Science. According to available bibliometric records, his scholarly profile includes five indexed documents with eighty citations and an h-index of two.[1]

Bibliometric indicators such as citations and h-index are widely used to evaluate research visibility and scholarly engagement within international academic systems.[2]

Research Contributions

The research contributions associated with Mr. Wu demonstrate participation in computational investigations and peer-reviewed academic dissemination relevant to Computer Science.[1]

Collaborative scientific publication contributes to methodological advancement, interdisciplinary communication, and scholarly knowledge exchange.

Publications

The publication portfolio associated with Mr. Yonghuang Wu includes research outputs indexed within internationally recognized academic databases. Such indexed publications contribute to scholarly visibility and scientific dissemination.[1]

Research Impact

Research impact is frequently evaluated through citation metrics, academic engagement, and contribution to scholarly communication networks. Citation activity associated with Mr. Wu reflects measurable research dissemination.[1][2]

Award Suitability

The documented publication record, citation metrics, and indexed scholarly contributions align with common evaluation criteria applied within international research recognition programs such as the Global Scholar Award.[2][4]

Conclusion

This article presents a structured academic overview of Mr. Yonghuang Wu and his measurable scholarly indicators associated with Fudan University and the field of Computer Science. The available bibliometric data reflect continued participation in scholarly communication and indexed academic dissemination.[1][3]

References

  1. Elsevier. (n.d.). Scopus author details: Mr. Yonghuang Wu, Author ID 58151097300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58151097300
  2. Li, Y., Wu, Y., Luo, Y., Sun, L., Qin, Z., Qiu, L., Cao, X., & Cai, X. (2025). Instance-level randomization: Toward more stable LLM evaluations. In Findings of the Association for Computational Linguistics: EMNLP 2025.
    https://doi.org/10.18653/v1/2025.findings-emnlp.182
  3. ORCID. (n.d.). ORCID profile record for Mr. Yonghuang Wu. ORCID Registry.
    https://orcid.org/0000-0002-5804-5573
  4. Global Scholar Awards. (n.d.). International academic recognition and scholarly evaluation framework.
    https://globalscholarawards.com/

Bin Liu | Computer Science | Research Excellence Award

Published on by Global Scholar Awards

Prof. Bin Liu | Computer Science | Research Excellence Award

Professor | Northwest A&F University | China

Prof. Bin Liu is a researcher at Northwest A&F University, Yangling, China, with expertise in artificial intelligence, computer vision, agricultural informatics, and large-scale model training. He has published 69 Scopus-indexed documents, receiving approximately 2,949 citations and achieving an h-index of 18, reflecting sustained academic impact. His recent work focuses on multi-source data fusion, multimodal learning, remote sensing change detection, and efficient parallel training pipelines for large models, with publications in reputable venues such as IEEE Transactions on Computers, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and Applied Sciences. Liu has collaborated with over 140 co-authors, demonstrating strong interdisciplinary and international research engagement. His research contributes to societal needs by advancing intelligent agricultural disease diagnosis, improving crop monitoring, and enhancing the efficiency of large-scale AI systems, supporting sustainable agriculture and data-driven environmental management.

Citation Metrics (Scopus)

2949
2200
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Citations

2,949

Documents

69

h-index

18

Citations

Documents

h-index

View Scopus Profile
 View Scopus Profile

Featured Publications


MDS-Net: An image-text enhanced multimodal dual-branch Siamese network for remote sensing change detection


– IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025

PRT: An efficient pipeline reuse technology for large models training


– IEEE International Conference on Cluster Computing (CLUSTER), 2025

VMF-SSD: A novel V-space based multi-scale feature fusion SSD for apple leaf disease detection


– IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023

Aleeza Adeel | Computer Science | Research Excellence Award

Published on by Global Scholar Awards

Mrs. Aleeza Adeel | Computer Science | Research Excellence Award

The University of Waikato | New Zealand

Mrs. Aleeza Adeel is a Ph.D. student at the School of Computing and Mathematical Sciences, University of Waikato, New Zealand, specializing in digital twin frameworks, sustainable energy systems, and user-centered computing solutions. Her research focuses on developing interoperable and scalable digital twin technologies to optimize energy system management, enhance operational efficiency, and support sustainable resource utilization. She has contributed to peer-reviewed publications, including a recent article in Energies on an interoperable user-centered digital twin framework, demonstrating her commitment to integrating advanced computational models with real-world energy systems. Aleeza collaborates with interdisciplinary researchers, including experts in energy management and computational modeling, to ensure her work addresses both technical rigor and societal relevance. Her research contributes to sustainable energy transitions by providing data-driven, user-centric solutions that improve system performance, reduce environmental impact, and support informed decision-making in complex energy infrastructures.

Profile: View ORCID Profile 

Featured Publication


An Interoperable User‑Centred Digital Twin Framework for Sustainable Energy System Management

– Adeel, A., Apperley, M., & Walmsley, T. G., Energies, 2026, 19(2), Article 333

Miroslaw Kozielski | Computer Science | Best Researcher Award

Published on by Global Scholar Awards

Mr. Miroslaw Kozielski | Computer Science | Best Researcher Award

Kazimierz Wielki University | Poland

Mr. Mirosław Kozielski is a researcher at Kazimierz Wielki University in Bydgoszcz, Poland, specializing in computer science, with a strong focus on natural language processing (NLP), industrial informatics, and Industry 4.0/5.0 technologies. His research addresses the use of intelligent language-based systems for automated industrial documentation, knowledge representation, and digital transformation in modern manufacturing environments. He has authored 7 peer-reviewed publications, which have accumulated 35 citations, and holds an h-index of 3, reflecting a focused and emerging academic impact. Dr. Kozielski collaborates with interdisciplinary teams, contributing to the integration of artificial intelligence with industrial and organizational processes. His work supports the development of efficient, human-centric, and sustainable industrial systems, with societal impact through improved documentation quality, enhanced knowledge accessibility, and the practical adoption of advanced AI-driven solutions in contemporary industrial ecosystems.

Citation Metrics (Scopus)

35
25
15
5
0

Citations

35

Documents

7

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3

Citations

Documents

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View Scopus Profile
 View ORCID Profile

Featured Publications

Mahmoud Mansour | Pharmacology | Best Researcher Award

Published on by Global Scholar Awards

Prof. Mahmoud Mansour | Pharmacology | Best Researcher Award

Professor | King Saud bin Abdulaziz University for Health Sciences | Saudi Arabia

Dr. Mahmoud Ahmed Mansour is a biomedical researcher affiliated with King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia, with recognized expertise in biochemical toxicology, oxidative stress, pharmacology, and cancer biology. His research primarily focuses on the molecular mechanisms of hepatocarcinogenesis, proteasome inhibition, antioxidant defense systems, and cardiometabolic complications. Dr. Mansour has authored 40 peer-reviewed publications, accumulating over 1,879 citations, with an h-index of 18, reflecting sustained scientific impact and scholarly influence. His highly cited works explore the antineoplastic potential of proteasome inhibitors such as carfilzomib, as well as oxidative stress in metabolic and reproductive health conditions. He has collaborated with more than 50 international co-authors, demonstrating strong interdisciplinary and cross-institutional engagement. The societal relevance of his research lies in advancing therapeutic strategies for cancer prevention, metabolic disorders, and drug-induced toxicity, contributing to improved clinical understanding and translational biomedical outcomes at a global level.

Citation Metrics (Scopus)

1879
1400
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0

Citations

1,879

Documents

40

h-index

18

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View Google Scholar Profile View Scopus Profile View ORCID Profile

Featured Publications