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

0000-0002-6368-2729

Research Information
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.

  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.

Professional research identifiers including ORCID, Google Scholar, and ResearchGate profiles support discoverability, verification, and accessibility of scholarly contributions within international academic systems.[2][3][4]

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
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2,949

Documents

69

h-index

18

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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

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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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1,879

Documents

40

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18

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View Google Scholar Profile View Scopus Profile View ORCID Profile

Featured Publications

Christian Schachtner | Computer Science | Research Excellence Award

Published on by Global Scholar Awards

Prof. Dr. Christian Schachtner | Computer Science | Research Excellence Award

Professor of Business Informatics | RheinMain University of Applied Sciences | Germany

Dr. Christian Schachtner is a researcher at Fachhochschule Wiesbaden, Germany, specializing in safety culture, social impact assessment, and sustainable development in technical and organizational systems. His work bridges corporate social responsibility, environmental management, and smart district development, emphasizing practical solutions to complex societal challenges. According to Scopus, he has authored 23 scholarly publications, received 9 citations, and holds an h-index of 2. His recent research includes open-access work on the determinants of social impact through safety culture in technical organizations and scholarly contributions to book chapters on smart regional and district development initiatives. Dr. Schachtner actively collaborates with international researchers, supporting interdisciplinary perspectives and knowledge exchange. His research contributes to improving organizational governance, enhancing safety performance, and promoting socially responsible and sustainable practices across technical and socio-economic domains.

Citation Metrics (Scopus)

23
15
10
5
0

Citations

9

Documents

23

h-index

2

Citations

Documents

h-index

View Google Scholar Profile
 View Scopus Profile
 View ORCID Profile

Featured Publications

Patrice X. Petit | Signal Transduction | Best Researcher Award

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Dr. Patrice X. Petit | signal transduction | Best Researcher Award

 Research director | Centre National de la Recherche Scientifique | France

Dr. Patrice X. Petit, Doctor ès Sciences and PhD in Biology, is a Research Director at the French National Centre for Scientific Research (CNRS), where he has served since 1979 and established an internationally recognized career in cell biology. Trained at the Université Pierre et Marie Curie and the Université Denis Diderot (Paris), his work has focused on the molecular mechanisms governing cell death, mitochondrial dynamics, oxidative stress, and their implications in cancer biology, immunology, and toxicology. Over more than four decades, he has developed a broad international scientific presence through extensive teaching and research collaborations across Europe, North America, and Asia, including academic engagements with institutions such as the Chinese Academy of Sciences, Caltech, UT Southwestern, the Beatson Cancer Research Center in Glasgow, the University of Madrid, and multiple leading universities throughout Scandinavia, Germany, and France. His scientific leadership is further reflected in his service as an elected member (2016–2020) of the Scientific Council of the CNRS Institute of Biological Sciences (INSB). Dr. Petit has authored 134 scientific publications, accumulating approximately 12,500 citations and an h-index of 44, demonstrating sustained research influence across several biomedical domains, including contributions to plant biology. He is an active peer reviewer for major journals such as Cancer Research, Journal of Cell Biology, PNAS, Oncogene, and Cell Death and Differentiation, and he has served as a grant reviewer for major funding bodies, including the Austrian Academy of Sciences, the French National Research Agency (ANR), EMBO, the Swiss National Science Foundation, and the Fondation pour la Recherche Médicale. His interdisciplinary background—ranging from a formal qualification in history (Université Paris Diderot, 1979) to a DIU in rare diseases (Université de Strasbourg, 2017)—underscores both scientific depth and broader intellectual engagement. Through his sustained research output, international collaborations, and service to the scientific community, Patrice X. Petit has contributed significantly to advancing fundamental and translational knowledge in cell biology, with measurable societal impact across biomedical research and education.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

Zamzami, N., Marchetti, P., Castedo, M., Decaudin, D., Macho, A., Hirsch, T., … Petit, P. X. (1995). Sequential reduction of mitochondrial transmembrane potential and generation of reactive oxygen species in early programmed cell death. The Journal of Experimental Medicine, 182(2), 367–377.

Zamzami, N., Marchetti, P., Castedo, M., Zanin, C., Vayssière, J. L., Petit, P. X., … Kroemer, G. (1995). Reduction in mitochondrial potential constitutes an early irreversible step of programmed lymphocyte death in vivo. The Journal of Experimental Medicine, 181(5), 1661–1672.

Kroemer, G., Petit, P., Zamzami, N., Vayssière, J. L., & Mignotte, B. (1995). The biochemistry of programmed cell death. The FASEB Journal, 9(13), 1277–1287.

Petit, P. X., Lecoeur, H., Zorn, E., Dauguet, C., Mignotte, B., & Gougeon, M. L. (1995). Alterations in mitochondrial structure and function are early events of dexamethasone-induced thymocyte apoptosis. The Journal of Cell Biology, 130(1), 157–167.

Petit, P. X., Susin, S. A., Zamzami, N., Mignotte, B., & Kroemer, G. (1996). Mitochondria and programmed cell death: Back to the future. FEBS Letters, 396(1), 7–13.

Dr. Petit’s work has fundamentally advanced our understanding of mitochondrial biology and programmed cell death, shaping modern concepts of apoptosis, autophagy, and cellular stress responses. His discoveries enabled new biomedical approaches to cancer, immunology, and rare diseases

Jiawei Shi | curriculum teaching | Best Researcher Award

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Mrs. Jiawei Shi | curriculum teaching | Best Researcher Award

Senior Lecturer | Zhoukou Normal University | China

Mrs. Jiawei Shi is a Senior Lecturer and Research Scholar at Zhoukou Normal University and HUANGHE S&T University, specializing in the intersection of art education, digital pedagogy, and educational equity. His research focuses on addressing structural challenges in China’s basic art education—particularly teacher shortages, disparities in resource allocation, and uneven regional development—through evidence-based digital innovation. As the sole author of the high-impact empirical study “Digital applications inject new vitality into art education—Path analysis based on data of art teachers in basic education in China,” Shi has contributed a rigorous and multidimensional analytical framework that integrates literature review, policy analysis, national education statistics, survey research, Delphi method, Analytic Hierarchy Process (AHP), and the CIPP evaluation model. His work constructs a weighted evaluation index system (Y=0.35X1+0.15X2+0.22X3+0.28X4) and provides robust empirical evidence demonstrating the significant effectiveness of digital applications in enhancing teaching environments, resource distribution, and instructional outcomes in art education. The study’s findings—such as the expert authority coefficient Cr=0.632 and comparative evaluation results between digital demonstration schools and traditional schools—offer both scholarly insight and practical policy value. Shi has authored multiple academic publications and collaborated with interdisciplinary teams and provincial research initiatives, including the 2024 Henan Xingwenhua Cultural Engineering Project (No. 2024XWH241). His research has attracted growing academic attention and citation within the fields of digital education reform and art education modernization. Beyond theoretical contributions, Shi’s work supports national and regional decision-making by proposing actionable strategies for optimizing teacher training, funding mechanisms, and digital resource integration. Committed to advancing educational modernization, he continues to pursue research that promotes equity, innovation, and high-quality development in China’s basic education system, ensuring that digital transformation contributes meaningfully to cultural transmission, artistic literacy, and social progress.

Profile: ORCID

Featured Publications

Shi, J. (n.d.). Digital applications inject new vitality into art education: Path analysis based on data of art teachers in basic education in China.

Jiawei Shi’s research advances the digital transformation of art education by providing a scientifically validated framework that supports equitable resource distribution and improved instructional quality across China’s basic education system. His work guides policymakers, educators, and institutions in adopting evidence-based digital strategies that enhance cultural literacy, modernize teaching practices, and promote inclusive, high-quality education with broad societal impact.