Magdalena Trillo-Domínguez | Emerging Trends and Future Directions | Best Paper Award

Published on by Computer Vision Awards

Best Paper Award

Magdalena Trillo-Domínguez
University of Granada
Magdalena Trillo-Domínguez
Affiliation University of Granada
Country Spain
Scopus ID 24345339900
Documents 23
Citations 167
h-index 8
Subject Area Emerging Trends and Future Directions
Event Global Tech Excellence Awards
ORCID 0000-0003-0647-2781

This academic recognition article presents a structured overview of the scholarly profile of Magdalena Trillo-Domínguez in relation to evaluation criteria commonly applied within the Best Paper Award framework. The assessment considers publication activity, citation indicators, thematic alignment, and measurable scholarly engagement. Recognition in academic award contexts is generally based on transparent evidence of dissemination, research continuity, and contribution to emerging interdisciplinary discussions.[1]

Abstract

This article presents a structured review of available bibliometric indicators and documented publication activity associated with Magdalena Trillo-Domínguez. Evaluation within the Best Paper Award framework considers measurable scholarly outputs, citation engagement, research visibility, and alignment with contemporary academic themes. The assessment process emphasizes objective indicators commonly used in research evaluation, including publication continuity, indexed dissemination, and evidence of academic contribution. Citation performance and thematic relevance are considered alongside broader measures of scholarly participation and knowledge exchange. Such recognition approaches prioritize transparent and verifiable criteria to support balanced academic assessment rather than relying on subjective interpretation alone.[1]

Keywords

Best Paper Award; Bibliometrics; Research Evaluation; Scholarly Communication; Emerging Trends; Citation Analysis; Academic Recognition.

Introduction

Contemporary academic awards frequently incorporate objective indicators including publication output, citation performance, and continuity of scholarly activity. Such frameworks aim to encourage reproducibility, visibility, and sustained engagement with research communities. Evaluation methods remain aligned with recognized indexing platforms and persistent researcher identifiers.[2]

Research Profile

  • Institutional affiliation with the University of Granada.
  • Indexed Scopus author profile.
  • Documented publication and citation record.
  • Research visibility supported through persistent ORCID identification.

Research Contributions

The scholarly profile reflects engagement with evolving research directions and participation in publication-based dissemination. Contributions are interpreted through available bibliometric evidence and thematic consistency across documented outputs.[1]

Publications

  • Indexed publication record associated with Scopus documentation.
  • DOI-linked dissemination supporting traceable academic communication.
  • Research outputs contributing to scholarly visibility.

Research Impact

Citation indicators and publication continuity provide measurable evidence of academic reach. Within recognition frameworks, such metrics are interpreted together with thematic relevance and sustained scholarly engagement rather than as standalone measures.[1]

Award Suitability

The available indicators suggest alignment with standard academic evaluation dimensions used for scholarly recognition initiatives. Assessment remains dependent upon transparent review procedures, publication quality, and contextual interpretation of measurable outputs.

Conclusion

Magdalena Trillo-Domínguez’s documented academic profile demonstrates measurable research dissemination and participation in scholarly communication. Consideration within a Best Paper Award framework reflects observable publication activity and citation engagement while remaining subject to formal review criteria.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Magdalena Trillo-Domínguez, Author ID 24345339900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=24345339900
  2. ORCID. (n.d.). Researcher persistent identifier profile.
    https://orcid.org/0000-0003-0647-2781

  3. SCImago Media Rankings (SMR): situation and evolution of the digital reputation of the media worldwide.
    https://www.researchgate.net/publication/374523929_SCImago_Media_Rankings_SMR_situation_and_evolution_of_the_digital_reputation_of_the_media_worldwide

  4. El periodismo científico ante la desinformación: decálogo de buenas prácticas en el entorno digital y transmedia.
    https://www.researchgate.net/publication/369043395_El_periodismo_cientifico_ante_la_desinformacion_decalogo_de_buenas_practicas_en_el_entorno_digital_y_transmedia

Fatma Ben Brahim | Remote Sensing and Satellite Imagery Analysis | Research Excellence Award

Published on by Computer Vision Awards

Research Excellence Award

Fatma Ben Brahim
Affiliation National Engineering School of Sfax
Country Tunisia
Scopus 55369796400
Documents 23
Citations 361
h-index 11
Subject Area Remote Sensing and Satellite Imagery Analysis
Event Global Tech Excellence Awards

Fatma Ben Brahim is a researcher affiliated with the National Engineering School of Sfax in Tunisia, recognized for scholarly contributions in remote sensing, satellite imagery analysis, and geospatial data interpretation. Her academic work reflects interdisciplinary engagement in image processing methodologies, environmental monitoring systems, and computational analysis of spatial information. The recognition associated with the Research Excellence Award highlights measurable scientific productivity, citation performance, and sustained contribution to technological research domains.[1]

Abstract

This article presents a structured academic overview of Fatma Ben Brahim and her research contributions in remote sensing and satellite imagery analysis. The profile examines publication metrics, citation indicators, and scientific engagement associated with geospatial technologies and environmental data interpretation. The analysis also evaluates the researcher’s suitability for recognition under the Global Tech Excellence Awards based on scholarly output, measurable impact, and interdisciplinary relevance within computational imaging and Earth observation sciences.[1][2]

Keywords

Remote sensing, satellite imagery analysis, geospatial data, Earth observation, environmental monitoring, image processing, spatial analytics, research impact assessment, computational imaging, scientific recognition.[2]

Introduction

The increasing significance of remote sensing technologies has transformed environmental monitoring, urban analysis, and geospatial intelligence applications worldwide. Researchers working within this domain contribute to advanced methodologies for interpreting large-scale spatial datasets generated by satellites and airborne systems. Fatma Ben Brahim’s academic profile demonstrates involvement in these scientific developments through publication activity and collaborative research outputs connected to satellite imagery analysis and computational interpretation systems.[2][3]

Academic recognition programs such as the Global Tech Excellence Awards seek to identify researchers whose work demonstrates scientific rigor, interdisciplinary influence, and measurable research visibility. Bibliometric indicators including citation counts, h-index performance, and publication consistency are commonly utilized in evaluating scholarly distinction across technical disciplines.[1]

Research Profile

Fatma Ben Brahim is affiliated with the National Engineering School of Sfax in Tunisia and has established a research portfolio associated with remote sensing and satellite image interpretation. According to available Scopus indexing data, the researcher has produced 23 indexed documents with a cumulative citation count exceeding 361 citations and an h-index of 11, reflecting moderate-to-strong scholarly influence within specialized technical domains.[1]

The research profile demonstrates engagement with interdisciplinary scientific methodologies involving geospatial technologies, computational imaging, environmental observation systems, and advanced image-processing techniques. Such areas are increasingly important within climate studies, land-use monitoring, infrastructure planning, and disaster assessment frameworks.[3]

Research Contributions

The research contributions associated with Fatma Ben Brahim emphasize analytical techniques for processing and interpreting satellite-derived datasets. Such contributions are relevant to both theoretical and applied aspects of geospatial analysis, particularly in domains requiring accurate extraction of environmental and spatial information from imagery sources.[2]

  • Development and application of remote sensing methodologies for environmental and spatial analysis.[3]
  • Research engagement in satellite imagery interpretation and geospatial information processing systems.[2]
  • Scientific collaboration contributing to multidisciplinary technological research initiatives.[1]
  • Publication activity supporting the advancement of computational imaging and Earth observation research.[4]

Publications

The researcher’s indexed publications span remote sensing, image analysis, and geospatial computational methodologies. The publication record indicates sustained participation in peer-reviewed scientific dissemination and contributes to the visibility of engineering and satellite-based analytical research from the Tunisian academic community.[1]

  1. Selected publications indexed within Scopus databases addressing remote sensing and geospatial data analytics.[1]
  2. Research outputs associated with satellite imagery processing and environmental observation systems.[3]
  3. DOI-indexed scholarly contributions relevant to computational analysis and geospatial interpretation methodologies.[4]

Research Impact

Bibliometric indicators suggest a meaningful academic presence within the domain of remote sensing and satellite imagery analysis. An h-index of 11 combined with over 361 citations demonstrates sustained referencing by the scientific community and reflects research relevance across interconnected technological disciplines.[1]

Research visibility within indexed databases contributes to broader scientific dissemination and institutional recognition. The researcher’s publication activity also supports knowledge transfer in areas related to environmental intelligence, geospatial analytics, and computational interpretation systems used in scientific and industrial applications.[2][3]

Award Suitability

The academic profile of Fatma Ben Brahim aligns with several evaluation dimensions commonly associated with international scientific recognition programs. These dimensions include publication consistency, citation influence, interdisciplinary engagement, and measurable research impact within technologically significant domains.[1]

The Global Tech Excellence Awards emphasize innovation and technical research contributions across global academic communities. The documented research activity in remote sensing and satellite imagery analysis demonstrates thematic relevance to the objectives of the award program and supports consideration for recognition within engineering and computational sciences.[5]

Conclusion

Fatma Ben Brahim’s scholarly profile reflects sustained academic engagement in remote sensing and satellite imagery analysis, supported by indexed publications, citation visibility, and interdisciplinary research contributions. The combination of publication metrics, scientific relevance, and technical specialization provides a credible basis for recognition within international academic award frameworks such as the Global Tech Excellence Awards.[1][5]

References

  1. Elsevier. (n.d.). Scopus author details: Fatma Ben Brahim, Author ID 55369796400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55369796400
  2. Assessment of carbon dynamics using remote sensing, machine learning, and cellular automata in a semi-arid region.
    https://www.mdpi.com/2076-3417/16/10/4801
  3. Potential of saline deficit irrigation to conserve water without exacerbating soil salinization in tree orchards.
    https://link.springer.com/article/10.1007/s41101-025-00446-0
  4. Assessment and prediction of irrigation groundwater suitability using traditional and artificial intelligence models in semi-arid regions: Special focus on Northern Gabès aquifer system.
    https://link.springer.com/article/10.1007/s41748-025-00694-z
  5. Global Tech Excellence Awards. (n.d.). Official Award Website and Recognition Program Information.
    https://globaltechexcellence.com/

Daniel Bates | Emerging Trends and Future Directions | Outstanding Educator Award

Published on by Computer Vision Awards

Outstanding Educator Award

Daniel Bates
Affiliation Truman State University
Country United States
Scopus 58633665600
Documents 11
Citations 10
h-index 1
Subject Area Emerging Trends and Future Directions
Event Global Tech Excellence Awards

Daniel Bates The Outstanding Educator Award recognizes distinguished academic contributions, educational leadership, and scholarly engagement demonstrated by Daniel Bates of Truman State University. The recognition highlights sustained participation in academic development, research dissemination, and interdisciplinary educational initiatives associated with emerging technological and scholarly directions.[1]

Abstract

This article documents the academic recognition associated with the Outstanding Educator Award presented in connection with the Global Tech Excellence Awards. The profile emphasizes the scholarly activities, publication presence, citation metrics, and interdisciplinary educational contributions associated with Daniel Bates and Truman State University. The recognition reflects participation in evolving academic discussions connected to emerging trends and future-oriented research environments.[2]

Keywords

  • Outstanding Educator Award
  • Daniel Bates
  • Truman State University
  • Emerging Trends and Future Directions
  • Academic Recognition
  • Research Contributions
  • Scholarly Impact
  • Global Tech Excellence Awards

Introduction

Academic awards frequently serve as indicators of institutional participation, research engagement, and scholarly visibility within evolving educational and technological environments. The Outstanding Educator Award acknowledges academic professionals whose activities contribute to teaching excellence, interdisciplinary inquiry, and knowledge dissemination across emerging scholarly domains.[3]

Daniel Bates, affiliated with Truman State University in the United States, has maintained a documented scholarly profile indexed through Scopus with measurable publication and citation activity. Such metrics contribute to broader evaluations of academic productivity, collaboration, and scholarly communication within higher education systems.[1]

Research Profile

The research profile associated with Daniel Bates reflects participation in scholarly activities connected to emerging trends and future research directions. Indexed academic contributions include conference proceedings, scholarly discussions, and interdisciplinary engagements documented within Scopus databases.[4]

The available bibliometric indicators include 11 indexed documents, 10 citations, and an h-index of 1. While quantitative metrics provide only partial insight into scholarly influence, they remain commonly utilized indicators for assessing research dissemination and visibility across academic platforms.[1]

Research Contributions

Research contributions connected with the profile emphasize educational development, interdisciplinary collaboration, and scholarly communication within future-oriented academic discussions. Contributions in emerging technological and educational themes are increasingly relevant as institutions adapt to digital transformation, innovation frameworks, and evolving research ecosystems.[5]

Academic participation through conferences, publications, and collaborative initiatives strengthens institutional visibility while contributing to knowledge exchange within global scholarly communities. Recognition through academic awards often reflects both research engagement and educational leadership.[6]

Publications

The indexed publication record associated with Daniel Bates includes scholarly outputs catalogued within Scopus databases. These publications contribute to measurable academic visibility and provide evidence of continued participation in scholarly communication networks.[1]

  • Conference-related scholarly contributions addressing emerging educational and technological themes.[4]
  • Interdisciplinary academic publications supporting future-oriented research discussions.[5]
  • Research dissemination through indexed scholarly communication channels.[6]

Research Impact

The measurable research impact associated with the academic profile includes citation activity and indexed scholarly visibility. Citation metrics indicate that published materials have contributed to broader scholarly engagement and academic referencing within relevant fields.[1]

In contemporary higher education environments, research impact extends beyond citation counts and includes educational influence, interdisciplinary collaboration, and contributions to institutional development. Academic recognition programs frequently incorporate both quantitative and qualitative indicators when assessing scholarly achievements.[3]

Award Suitability

The Outstanding Educator Award aligns with profiles demonstrating educational leadership, scholarly engagement, and participation in emerging academic discussions. The documented publication activity, indexed research presence, and institutional affiliation of Daniel Bates support the relevance of this recognition within the framework of the Global Tech Excellence Awards.

Recognition initiatives connected to global academic and technological advancement emphasize interdisciplinary participation and future-oriented scholarship. Such awards contribute to increased institutional visibility while encouraging continued academic engagement and collaborative research activity.[6]

Conclusion

The academic profile of Daniel Bates reflects documented scholarly participation, measurable research activity, and institutional engagement within emerging research discussions. The Outstanding Educator Award serves as a formal acknowledgment of these contributions within the broader context of academic recognition and interdisciplinary scholarly development.[2]

References

      1. Elsevier. (n.d.). Scopus author details: Daniel Bates, Author ID 58633665600. Scopus.
        https://www.scopus.com/authid/detail.uri?authorId=58633665600
      2. Global Tech Excellence Awards. (n.d.). Outstanding Educator Award recognition framework.
        https://globaltechexcellence.com/
      3. Exploring the environmental impacts of telemental health counseling: Balancing accessibility, sustainability, and climate concerns..
        https://digital.sandiego.edu/tces/vol6/iss1/6/
      4. Are higher-order constructs in evolutionary psychology attributable to omitted cross-loading bias? An exploratory structural equation modeling approach.
        https://link.springer.com/article/10.1007/s12110-025-09497-7
      5. Structure and longitudinal invariance of the Multicultural Awareness, Knowledge, and Skills Survey – Counselor Edition – Revised.
        https://www.tandfonline.com/doi/full/10.1080/07481756.2024.2413532
      6. Is reproductive development adaptively calibrated to early experience? Evidence from a national sample of females.
        https://psycnet.apa.org/doiLanding?doi=10.1037%2Fdev0001681

Mohammad Mahdi Ershadi | Biomedical and Healthcare Applications | Research Excellence Award

Published on by Computer Vision Awards

Research Excellence Award

Mohammad Mahdi Ershad
Affiliation Amirkabir University of Technology
Country Iran
Scopus 57212585059
Documents 22
Citations 194
h-index 10
Subject Area Biomedical and Healthcare Applications
Event Global Tech Excellence Awards

Mohammad Mahdi Ershadi is a researcher affiliated with Amirkabir University of Technology whose scholarly work has contributed to the advancement of biomedical and healthcare applications through interdisciplinary technological research. His academic profile demonstrates sustained contributions in healthcare-oriented engineering studies, supported by measurable citation performance and publication activity indexed in major international databases.[1] The recognition associated with the Research Excellence Award reflects his ongoing engagement with applied scientific innovation, research dissemination, and academic collaboration in emerging biomedical domains.[2]

Abstract

This article presents an overview of the academic achievements, publication record, and research impact associated with Mohammad Mahdi Ershadi in the field of biomedical and healthcare applications. The profile highlights measurable scholarly indicators, including indexed publications, citation performance, and interdisciplinary research engagement. The article also evaluates the relevance of these contributions within the context of the Global Tech Excellence Awards and broader scientific recognition frameworks.[1][3]

Keywords

Biomedical engineering, healthcare applications, academic recognition, research impact, citation analysis, scientific publications, interdisciplinary technology, healthcare innovation, Scopus indexing, scholarly contributions.[2]

Introduction

The increasing integration of engineering methodologies within healthcare systems has generated substantial opportunities for interdisciplinary scientific advancement. Researchers working within biomedical and healthcare applications contribute to technological innovation, diagnostic optimization, computational healthcare analysis, and applied engineering solutions that support clinical and societal needs. Within this evolving academic landscape, Mohammad Mahdi Ershadi has established a scholarly profile characterized by indexed publications, citation-based visibility, and participation in internationally recognized research dissemination platforms.[1]

Academic evaluation metrics such as document count, citation performance, and h-index values are commonly used to assess research productivity and influence across scientific disciplines. These indicators provide measurable insight into scholarly reach, collaborative engagement, and the sustainability of research output over time. The current profile demonstrates a developing yet notable research trajectory within biomedical and healthcare-oriented scientific domains.[3]

Research Profile

Mohammad Mahdi Ershadi is affiliated with Amirkabir University of Technology, a recognized institution with established contributions to engineering and technological sciences. His research portfolio includes 22 indexed documents with a cumulative citation count of 194 and an h-index of 10, reflecting a stable level of scholarly engagement and research dissemination within biomedical and healthcare application domains.[1]

The profile reflects interdisciplinary integration between healthcare technologies and engineering methodologies, emphasizing the practical implementation of scientific knowledge within biomedical contexts. Such interdisciplinary approaches are increasingly recognized as essential for addressing modern healthcare challenges through data-driven systems, medical technologies, and applied computational frameworks.

Research Contributions

The research contributions associated with Mohammad Mahdi Ershadi primarily align with biomedical and healthcare-oriented technological studies. These contributions involve the application of engineering techniques to healthcare environments, where scientific methodologies are utilized to improve analytical efficiency, technological integration, and practical implementation within biomedical systems.

The documented publication activity indicates ongoing participation in scholarly communication through indexed journals and conference-related dissemination channels. Citation accumulation across published works further suggests that elements of the research output have achieved measurable academic visibility and relevance among related scientific communities.

Publications

The publication profile includes peer-reviewed scholarly outputs indexed through international academic databases. These publications contribute to the visibility and dissemination of biomedical engineering and healthcare-related technological research. Indexed research outputs play a significant role in validating scientific contributions through citation tracking, peer-review assessment, and bibliometric evaluation.[1] [4]

DOI-linked publications facilitate long-term accessibility and citation reliability within digital academic infrastructures. The use of persistent identifiers further supports research transparency, discoverability, and scholarly preservation across multidisciplinary scientific environments. [5]

Research Impact

Research impact is commonly evaluated using citation indicators, publication metrics, and scholarly influence across academic communities. The profile associated with Mohammad Mahdi Ershadi demonstrates moderate but consistent citation performance with 194 citations and an h-index of 10. These indicators suggest that several publications have attained recurring academic reference and measurable research visibility.[1]

Within biomedical and healthcare applications, citation-based impact often reflects the relevance of research methodologies, technological applicability, and interdisciplinary adaptability. The observed citation performance aligns with a developing research trajectory characterized by sustained publication activity and growing academic recognition.

Award Suitability

The scholarly profile of Mohammad Mahdi Ershadi demonstrates characteristics commonly associated with research recognition frameworks, including indexed publication activity, citation accumulation, interdisciplinary engagement, and institutional research affiliation. These indicators collectively support the relevance of his profile within the context of the Global Tech Excellence Awards.[2]

Recognition within academic award systems typically considers research productivity, scholarly visibility, and the potential societal relevance of scientific contributions. The integration of healthcare-oriented engineering methodologies within the research portfolio further contributes to the suitability of the profile for technology-focused academic recognition initiatives.

Conclusion

Mohammad Mahdi Ershadi has developed a research profile characterized by interdisciplinary biomedical and healthcare-oriented scientific contributions supported through indexed publications and measurable citation performance. The profile reflects continued scholarly engagement, research dissemination, and participation in internationally recognized academic infrastructures.[1]

The documented academic indicators and research activities demonstrate alignment with the objectives of professional scientific recognition programs such as the Global Tech Excellence Awards. Continued publication activity and collaborative scientific engagement may further strengthen the long-term academic visibility and influence of the research portfolio.[2]

References

    1. Elsevier. (n.d.). Scopus author details: Mohammad Mahdi Ershadi, Author ID 57212585059. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57212585059
    2. Global Tech Excellence Awards. (n.d.). Official event and award information.
      https://globaltechexcellence.com/
    3. ORCID. (n.d.). ORCID record for Mohammad Mahdi Ershadi.
      https://orcid.org/0000-0002-7409-6469
    4. Entropy-guided semi-supervised framework for robust chest X-ray segmentation using dynamic competition and patch-wise contrastive learning.
      https://www.sciencedirect.com/science/article/abs/pii/S1746809426004878?via%3Dihub
    5. Decoding DQM for experimental insights on data quality metadata’s impact on decision-making process efficacy.
      https://www.researchgate.net/publication/402357652_Decoding_DQM_for_Experimental_Insights_on_Data_Quality_Metadata’s_Impact_on_Decision-Making_Process_Efficacy

Yi Qian | Benchmark Datasets and Evaluation Methods | Research Excellence Award

Published on by Computer Vision Awards

Prof. Yi Qian | Benchmark Datasets and Evaluation Methods | Research Excellence Award

University of British Columbia | Canada

Dr. Yi Qian is an accomplished researcher in econometrics, marketing science, and applied statistics, affiliated with the University of British Columbia. With a strong portfolio of peer-reviewed publications and several hundred citations, her work focuses on endogeneity correction, causal inference, and consumer behavior analytics. She has introduced advanced methodologies, including copula-based regressors and semiparametric estimation techniques, published in leading journals such as Journal of Marketing Research, Marketing Science, and Statistics in Medicine. Collaborating with scholars like Hui Xie and Fan Yang, her research delivers impactful insights for policy design, healthcare evaluation, and data-driven decision-making.

Citation Metrics (Scopus)

600

400

200

0

Citations
466

Documents
21

h-index
9

🟦 Citations 🟥 Documents 🟩 h-index

View Scopus Profile
           View ORCID Profile
        View Google Scholar Profile

Featured Publications


Impacts of entry by counterfeiters.

– The Quarterly Journal of Economics, 123(4), 1577–1609. (2008). Cited By: 218

Brand management and strategies against counterfeits.

– Journal of Economics & Management Strategy, 23(2), 317–343. (2014). Cited By: 168

Factors affecting the effectiveness of cause-related marketing: A meta-analysis.

– Journal of Business Ethics, 175(2), 339–360. (2022). Cited By: 120

Signaling virtuous victimhood as indicators of Dark Triad personalities.

– Journal of Personality and Social Psychology, 120(6), 1634–1661. (2021).  Cited By: 119

Francesco Fiorini | Emerging Trends and Future Directions | Editorial Board Member

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Dr. Francesco Fiorini | Emerging Trends and Future Directions | Editorial Board Member

University of Pisa | Italy

Dr. Francesco Fiorini is a PhD researcher at the University of Pisa, Italy, and a former Visiting Scholar at the Superconducting Quantum Materials and Systems Center (SQMS) at Fermi National Accelerator Laboratory, Chicago. His research focuses on telecommunications, quantum communication, network security, and queuing analysis. With 11 scholarly publications, 14 citations, and an h-index of 2, he has contributed to reputable venues including IEEE journals and conferences. His work spans quantum key distribution security, AI-driven modeling, and network performance analysis. Through international collaborations and interdisciplinary research, his studies contribute to advancing secure communication systems and intelligent networking technologies for next-generation digital infrastructures.

 

Citation Metrics (Scopus)

20

15

10

5

0

Citations
14

Documents
11

h-index
2

🟦 Citations 🟥 Documents 🟩 h-index

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           View ORCID Profile
       View Google Scholar Profile

Featured Publications

Nisharg Nargund | Document Image Analysis | Young Researcher Award

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Mr. Nisharg Nargund | Document Image Analysis | Young Researcher Award

Undergrad Researcher | Kalinga Institute of Industrial Technology | India

Mr. Nisharg Nargund is an emerging researcher in artificial intelligence and machine learning at the Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India. His research focuses on large language models, retrieval-augmented generation, transformer architectures, and multi-agent AI systems. He has authored Ten scholarly and professional publications, with 2 Scopus-indexed documents receiving 19 citations and an h-index of 1. His work has been presented at leading international conferences, earning Best Paper and Best Poster awards. Through academic collaborations, industry internships, and open-source projects, his research contributes to scalable, ethical, and societally impactful AI solutions in education, language technology, and industry.

 

Citation Metrics (Scopus)

30

20

10

0

Citations
19

Documents
2

h-index
1

🟦 Citations 🟥 Documents 🟩 h-index

View Scopus Profile
           View Google Scholar Profile

Featured Publications


Deep learning in Industry 4.0: Transforming manufacturing through data-driven innovation.

– In Distributed Computing and Intelligent Technology: 20th International Conference, ICDCIT 2024, Bhubaneswar, India, January 17–20, 2024, Proceedings. (2024). Cited By : 31

Conversational text extraction with large language models using retrieval-augmented systems.

– In Proceedings of the 6th International Conference on Computational Intelligence and Networks . (2025). Cited By : 5

Innovative fusion of LSTM and Bi-GRU networks for enhanced hate speech detection in social media.

– International Research Journal of Modernization in Engineering Technology and Science (IRJMETS). (2024). 

Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

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Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

Nanjing University of Information Science and Technology, China

👨‍🎓 Profiles

Scopus

Publications

Harnessing Transfer Deep Learning Framework for the Investigation of Transition Metal Perovskite Oxides with Advanced p-n Transformation Sensing Performance

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; J. Li, Jiale; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: ACS Sensors
    Year: 2025

Language Model-Assisted Machine Learning, Photoelectrochemical, and First-Principles Investigation of Compatible Solvents for a CH3NH3PbI3 Film in Water

  • Authors: Y. Huang, Yiru; S. Li, Shenyue; W. Hu, Wenguang; Q. Li, Qingfang; L. Zhang, Lei
    Journal: ACS Applied Materials and Interfaces
    Year: 2024

Data-driven exploration of terbium-doped tungsten oxide for Ultra-Precise detection of 3H-2B: Implications for gas sensor applications

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; L. Zhang, Lei; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: Chemical Engineering Journal
    Year: 2024

Ionic liquid-assisted preparation of Ag–Zn–In–S quaternary quantum dot thin films and luminescence performance optimized by machine learning

  • Authors: S. Wei, Song; X. Luo, Xiang; S. Shao, Shaofeng; L. Zhang, Lei
    Journal: Dyes and Pigments
    Year: 2024

Prof. Nita Sukdeo | Emerging Trends and Future Directions | Best Researcher Award

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Prof. Nita Sukdeo | Emerging Trends and Future Directions | Best Researcher Award

Professor at University of Johannesburg, South Africa

👨‍🎓 Profiles

Scopus

Orcid

Publications

The Role of Industry 4.0 in Enhancing Quality in the Fast-Moving Consumer Goods (FMCG) Industry

  • Author: Makgabo, M.L., Sukdeo, N., Lumbwe, A.K., Mukwakungu, S.C.
  • Journal: Lecture Notes in Mechanical Engineering
  • Year: 2025

The Effect of Service Delivery Automation (SDA) on the South African Banking Industry

  • Authors: Akilimalissiga, S., Sukdeo, N.I.
  • Journal: South African Journal of Industrial Engineering
  • Year: 2024

Culture-driven Quality Enhancement: Uncovering the Impact of Robotics Integration in the South African Construction Sector

  • Author: Faltein, S.A., Sukdeo, N.I.
  • Journal: Ain Shams Engineering Journal
  • Year: 2024

Silicon Nanoparticles Derived from Waste Rice Husk as Potential Siliconizing Material for Mild Steel

  • Author: Aigbodion, V.S., Ozor, P.A., Sukdeo, N.
  • Journal: Solid State Phenomena
  • Year: 2024

Prof Dr. Yufang Chen | Emerging Trends and Future Directions | Best Researcher Award

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Prof Dr. Yufang Chen | Emerging Trends and Future Directions | Best Researcher Award

Prof Dr. Yufang Chen | University of Defense Technology | China

Dr. Yufang Chen is an Associate Professor at the University of Defense Technology, where he contributes to advancements in material science and engineering. After earning his Ph.D. in 2016 from the National University of Defense Technology, he embarked on a distinguished academic career.

Professional Profiles

Scopus

Orcid

🎓 Academic and Professional Background

Yufang Chen earned his Ph.D. degree from the National University of Defense Technology in 2016. Following this, he joined the faculty at the Department of Material Science and Engineering, where he is currently serving as an Associate Professor in the Energy Material and Devices Group. Over the years, Professor Chen has established himself as a prominent researcher in his field, contributing extensively to advancing energy storage technologies.

🔬 Research Interests

Professor Yufang Chen’s research is centered on cutting-edge developments in high-energy lithium-ion batteries , sodium-ion batteries , and flexible energy storage devices . These focus areas are critical in meeting the growing global demand for sustainable and high-performance energy solutions. His work is dedicated to designing and optimizing innovative materials and advanced devices that enhance energy efficiency, storage capacity, and flexibility. By addressing key challenges in energy storage, his research contributes significantly to the advancement of renewable energy systems and the realization of a sustainable future.

💡 Impact and Recognition

Through his groundbreaking research in energy storage technologies, Professor Chen is playing a crucial role in developing solutions that contribute to renewable energy systems and sustainable development. His work not only furthers scientific understanding but also fosters innovations with the potential to transform everyday energy use.

Publications Top Noted📚 

“Research on self-supporting flexible cathode materials with high LFP loading based on PAN in situ inorganic reaction”

Authors: Song, W., Yang, T., Shi, X., Lu, D., Chen, Y.
Journal: Materials Letters
Year: 2025

“Study on the impact of cutoff voltage on structural and electrochemical stability of sodium-ion layered cathodes”

Authors: Wang, J., Xu, F., Fan, X., Xiao, P., Chen, Y.
Journal: Chemical Engineering Journal
Year: 2024

“Interface Engineering via Manipulating Solvation Chemistry for Liquid Lithium-Ion Batteries Operated ≥100 °C”

Authors: Gao, H., Chen, Y., Teng, T., Zheng, C., Xiao, P.
Journal: Angewandte Chemie – International Edition
Year: 2024

“The Possible Mechanism of Improving the Performance of Lead-Acid Batteries by Using Aluminum Ions to Influence the Gel Structure”

Authors: Yang, Y., Cao, J., Yu, Y., Ma, X., Liu, Y.
Journal: Energy Technology
Year: 2024

“Durable Sb/Na co-doped lithium-rich cathode material prepared by a novel planetary grinding method”

Authors: Lu, D., Song, W., Zhao, Y., Zheng, C., Chen, Y.
Journal: Materials Letters
Year: 2024