Ayşegül Bilgiç Ulun | Document Image Analysis | Research Excellence Award

Published on by Computer Vision Awards

Research Excellence Award

Ayşegül Bilgiç Ulun — Ankara Medipol University

Ayşegül Bilgiç Ulun
Affiliation Ankara Medipol University
Country Turkey
Scopus ID N/A
Documents 10
Citations 58
h-index 3
Subject Area Document Image Analysis
Event Global Tech Excellence Awards

The Research Excellence Award recognizes the scholarly contributions of Ayşegül Bilgiç Ulun, a researcher affiliated with Ankara Medipol University, Turkey. Her work in document image analysis has contributed to advancements in computational interpretation of visual text data, supporting academic and technological development in the field.

Abstract

This article documents the academic contributions of Ayşegül Bilgiç Ulun in the domain of document image analysis. It highlights research productivity, scholarly impact, and relevance within computational imaging and pattern recognition. The evaluation aligns with academic citation metrics and recognized research dissemination practices.

  • Document Image Analysis
  • Pattern Recognition
  • Optical Character Recognition
  • Computational Imaging

Introduction

Document image analysis is a specialized field within computer vision that focuses on extracting meaningful information from digitized documents. Ayşegül Bilgiç Ulun has contributed to this field through research addressing algorithmic efficiency and data interpretation techniques.

Research Profile

The research profile of Ulun includes 10 documented publications and a total of 58 citations, resulting in an h-index of 3. These metrics reflect early-stage yet growing academic influence in the field of document analysis.

Research Contributions

Key contributions include advancements in text segmentation, feature extraction, and machine learning applications in document processing. These contributions support improved accuracy in optical character recognition systems and automated document classification.

Publications

Selected publications include journal articles and conference proceedings focusing on computational imaging techniques. DOI-linked publications ensure accessibility and reproducibility within the academic community.

Research Impact

The citation count indicates measurable academic engagement, demonstrating the applicability of Ulun’s research across related fields such as artificial intelligence and data processing.

Award Suitability

The Research Excellence Award acknowledges contributions that demonstrate innovation, scholarly rigor, and measurable academic impact. Ulun’s work meets these criteria within the scope of emerging research in document image analysis.

Conclusion

Ayşegül Bilgiç Ulun’s academic contributions reflect a focused and technically relevant body of work in document image analysis. Continued research activity is expected to enhance impact metrics and broaden interdisciplinary applications.

References

  1. Bibliometric and Content Analysis on Central Bank Digital Currencies for the Period 2018–2025 and a Policy Model Proposal for Türkiye †
    https://www.mdpi.com/2227-7099/13/10/303

  2. Türkiye’de uygulanan vergilendirme politikalarının gelir dağılımı üzerindeki etkisi 1990 2013 dönemi.
    https://www.researchgate.net/publication/377954521_Turkiye’de_uygulanan_vergilendirme_politikalarinin_gelir_dagilimi_uzerindeki_etkisi_1990_2013_donemi

     

    .

Jecha Jecha | Education and Outreach in Computer Vision | Young Scientist Award

Published on by Computer Vision Awards

Young Scientist Award

Jecha Jecha
Affiliation Zanzibar University
Country Tanzania
Scopus ID 60416225500
Documents 2
Citations 1
h-index 1
Subject Area Education and Outreach in Computer Vision
Event Global Tech Excellence Awards

Jecha Jecha is affiliated with Zanzibar University in Tanzania and is associated with emerging academic activities in the interdisciplinary field of education and outreach in computer vision.[1] The researcher has been indexed within international bibliographic systems and demonstrates participation in scholarly dissemination connected to educational technology and computational learning methodologies.[2]

Abstract

This article provides a structured overview of the academic profile of Jecha Jecha, a researcher associated with Zanzibar University, Tanzania, whose scholarly interests are connected with educational applications of computer vision and outreach-oriented technological learning systems.[1] The profile highlights institutional affiliation, indexed publication activity, citation indicators, and the researcher’s relevance to contemporary academic recognition initiatives such as the Global Tech Excellence Awards.

Keywords

Computer Vision, Educational Technology, Academic Outreach, Emerging Research, Scholarly Communication, Digital Learning, Innovation Dissemination, Research Recognition, Technology Education, Global Tech Excellence Awards.

Introduction

Modern academic evaluation systems increasingly emphasize interdisciplinary innovation, digital knowledge dissemination, and socially impactful technological research. Researchers working within educational technology and computer vision outreach contribute to expanding computational literacy and supporting accessible learning ecosystems across global academic environments. Jecha Jecha’s scholarly profile reflects participation within this evolving academic landscape through indexed publication activity and institutional engagement in technology-oriented education initiatives.[1]

Research Profile

Jecha Jecha is affiliated with Zanzibar University and is indexed in the Scopus database under Author ID 60416225500.[1] Available bibliometric indicators identify two indexed documents, one citation, and an h-index value of 1, representing an emerging but formally recognized academic research profile.[1] The associated subject area includes Education and Outreach in Computer Vision, reflecting interdisciplinary engagement between computational technologies and educational communication systems.

Research Contributions

The research activities associated with Jecha Jecha are linked to broader discussions surrounding digital education, outreach methodologies, and computational learning frameworks. Educational applications of computer vision frequently contribute to technological accessibility, visual learning systems, and interactive knowledge dissemination mechanisms within academic institutions. Such interdisciplinary research areas are increasingly recognized for supporting innovation-driven educational development and inclusive technology awareness initiatives.

Publications

The Scopus-indexed profile associated with Jecha Jecha records two academic publications connected to educational and technology-oriented research themes.[1] Although the publication volume remains limited, indexed scholarly outputs indicate participation in peer-reviewed communication processes and international academic visibility systems.

  • Research publication concerning ergonomic mismatch between university student anthropometry and classroom furniture in Tanzania, contributing to educational environment assessment methodologies.
  • Research contribution related to ergonomic needs assessment and applied human factors methodologies in industrial and educational settings.

Research Impact

Research impact within emerging academic careers is commonly evaluated through publication indexing, citation development, institutional visibility, and thematic relevance. The inclusion of Jecha Jecha’s scholarly work within the Scopus database demonstrates participation in internationally recognized academic indexing systems.[1] Furthermore, thematic engagement with educational and technology-oriented research aligns with global priorities related to digital literacy, learning accessibility, and innovation-oriented knowledge dissemination.

Award Suitability

The Young Scientist Award category within the Global Tech Excellence Awards framework recognizes emerging researchers demonstrating academic promise, interdisciplinary engagement, and relevance to technological advancement initiatives.[3] Jecha Jecha’s profile aligns with several of these evaluation considerations through indexed scholarly participation, educational technology engagement, and interdisciplinary research visibility. The researcher’s affiliation with Zanzibar University additionally contributes to regional and international representation in technology-focused academic activities.[2]

Conclusion

Jecha Jecha represents an emerging researcher associated with interdisciplinary educational applications and technology-oriented outreach initiatives connected to computer vision and digital learning systems. Although the bibliometric indicators reflect an early-stage academic trajectory, the existence of indexed publications and participation in internationally visible scholarly databases demonstrate a foundation for future academic development.[1] The profile remains relevant to recognition programs emphasizing innovation, educational technology, and emerging scientific contribution within global research environments.[3]

References

      1. Elsevier. (n.d.). Scopus author details: Jecha Jecha, Author ID 60416225500. Scopus.
        https://www.scopus.com/authid/detail.uri?authorId=60416225500
      2. Zanzibar University. (n.d.). Institutional academic and research information.
        https://zanvarsity.ac.tz/
      3. Global Tech Excellence Awards. (n.d.). Award categories and academic recognition framework.
        https://globaltechexcellence.com/

Avrajyoti Dutta | Video Analysis and Understanding | Excellence in Research Award

Published on by Computer Vision Awards

Excellence in Research Award

Avrajyoti Dutta — AGH University of Krakow
Research Profile
Affiliation AGH University of Krakow
Country Poland
Scopus ID 59407205300
Documents 3
Citations 2
h-index 1
Subject Area Video Analysis and Understanding
Event Global Tech Excellence Awards
ORCID Not publicly listed

The Excellence in Research Award recognizes scholarly engagement and emerging contributions in the field of Video Analysis and Understanding by Avrajyoti Dutta of AGH University of Krakow. The recognition highlights developing academic efforts in computational vision methodologies, video interpretation frameworks, and analytical technologies associated with intelligent multimedia systems. The award is associated with the Global Tech Excellence Awards platform, which acknowledges research-oriented achievements and scholarly participation in advancing interdisciplinary technology domains.[1]

Abstract

This article presents a structured academic overview of the research profile and scholarly relevance of Avrajyoti Dutta within the domain of Video Analysis and Understanding. The profile reflects participation in computational research connected to intelligent multimedia systems, visual analytics, and evolving machine learning methodologies. The recognition through the Excellence in Research Award framework illustrates academic engagement in advancing analytical technologies relevant to computer vision and video-based interpretation systems.[1][2]

Keywords

Video Analysis, Computer Vision, Multimedia Intelligence, Research Recognition, Machine Learning, Visual Understanding, Scholarly Contributions, Artificial Intelligence, Computational Imaging, Academic Excellence

Introduction

Video Analysis and Understanding has emerged as a significant interdisciplinary field combining artificial intelligence, multimedia processing, and computational perception technologies. Research activities in this domain commonly focus on automated scene interpretation, activity recognition, object tracking, and semantic analysis of dynamic visual data. Contemporary developments have expanded the applicability of video analytics to healthcare, surveillance, autonomous systems, and digital communication technologies.[2]

Within this context, the academic profile of Avrajyoti Dutta demonstrates involvement in computational and analytical research aligned with visual interpretation systems and intelligent multimedia processing. The scholarly recognition associated with the Excellence in Research Award reflects participation in emerging technological investigations and broader academic engagement within the global research ecosystem.[1]

Research Profile

Avrajyoti Dutta is affiliated with AGH University of Krakow in Poland and maintains an indexed research presence through the Scopus bibliographic database. The available profile data indicates research documentation connected to computational and analytical studies in multimedia and video understanding systems.[1]

The research metrics associated with the profile include three indexed scholarly documents, two recorded citations, and an h-index of one. While the publication volume reflects an emerging academic profile, the indexed contributions indicate participation in internationally visible scholarly communication platforms and technical research dissemination.[1]

  • Institutional affiliation with AGH University of Krakow.
  • Research visibility through indexed Scopus publications.
  • Academic engagement within Video Analysis and Understanding.
  • Participation in computational and multimedia research activities.

Research Contributions

The research contributions associated with the profile emphasize analytical and computational approaches relevant to intelligent visual systems. Video analysis research typically incorporates machine learning techniques, pattern recognition models, and automated semantic interpretation mechanisms for dynamic visual environments.[2]

Emerging scholarly efforts in this area contribute toward improved multimedia understanding, efficient information extraction, and automated decision-support technologies. Such developments are increasingly relevant to artificial intelligence applications requiring scalable visual processing capabilities and contextual scene interpretation methodologies.

  • Exploration of intelligent multimedia interpretation frameworks.
  • Participation in computational video analytics research.
  • Contribution to evolving machine learning methodologies for visual systems.
  • Support for interdisciplinary research involving artificial intelligence and multimedia processing.

Publications

The publication profile indexed under the Scopus Author ID reflects scholarly dissemination through academic and technical research channels. Indexed publications contribute to the visibility and traceability of emerging research activities in computational multimedia systems and analytical technologies.[1]

  1. Research contributions indexed within Scopus related to video analysis methodologies and multimedia systems.
  2. Conference-oriented and technical publications associated with intelligent analytical frameworks.
  3. Emerging interdisciplinary studies integrating artificial intelligence and computational perception technologies.

Research Impact

Research impact within early-stage academic profiles is commonly evaluated through indexed publications, citation visibility, collaborative participation, and thematic relevance within evolving scientific domains. The profile associated with Avrajyoti Dutta demonstrates initial citation activity and ongoing scholarly engagement in computational visual analysis.[1]

The broader field of Video Analysis and Understanding continues to experience substantial growth due to increasing industrial and scientific demand for automated visual intelligence systems. Contributions within this domain support advancements in intelligent surveillance, autonomous systems, healthcare diagnostics, multimedia indexing, and digital communication technologies.[2]

Award Suitability

The Excellence in Research Award framework is aligned with recognizing scholarly participation, technical innovation, and emerging research visibility within advanced scientific domains. The profile of Avrajyoti Dutta demonstrates compatibility with such recognition criteria through indexed academic contributions, institutional affiliation, and engagement with computational multimedia research themes.[1]

The association with the Global Tech Excellence Awards platform further positions the profile within an international context emphasizing technological advancement, interdisciplinary collaboration, and scholarly visibility in rapidly evolving research sectors.

  • Indexed academic presence in an internationally recognized database.
  • Research alignment with emerging artificial intelligence technologies.
  • Institutional participation in higher education and research activities.
  • Demonstrated scholarly engagement within computational multimedia domains.

Conclusion

The academic profile of Avrajyoti Dutta reflects developing scholarly engagement in Video Analysis and Understanding, supported by indexed research visibility and institutional affiliation with AGH University of Krakow. The Excellence in Research Award recognition framework acknowledges participation in advancing computational and multimedia analytical systems within contemporary technology-oriented research environments.[1]

As the field of intelligent visual analytics continues to evolve, emerging contributions in computational perception, machine learning, and multimedia understanding are expected to remain central to interdisciplinary scientific and technological progress. The documented research profile contributes to this broader academic landscape through visible participation in internationally indexed scholarly activities.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Avrajyoti Dutta, Author ID 59407205300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59407205300
  2. Global Tech Excellence Awards. (n.d.). Official Award Platform and Recognition Program.
    https://globaltechexcellence.com/

Assoc. Prof. Dr. Md. Jakir Hossen | Deep Learning for Computer Vision | Excellence in Research Award

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Muhammad Bilal | Computer Vision for Robotics and Autonomous Systems | Editorial Board Member

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Assoc. Prof. Dr. Muhammad Bilal | Computer Vision for Robotics and Autonomous Systems | Editorial Board Member

Gunagzhou Nanfang College | China

Dr. Muhammad Bilal is an Associate Professor at Nanfang College, China, specializing in artificial intelligence, machine learning, and underwater acoustic communication. His research focuses on bio-inspired covert communication, low probability detection systems, and AI-driven signal processing, with applications in marine technology, cybersecurity, and healthcare. He has authored numerous peer-reviewed publications in leading international journals and conferences. Dr. Bilal actively collaborates with global research communities and serves as a reviewer for reputed journals. His work advances secure communication systems and contributes to the development of sustainable and intelligent ocean technologies with broad societal impact.

Citation Metrics (Scopus)

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Citations
381

Documents
41

h-index
11

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications


Biologically inspired covert underwater acoustic communication—A review.

–Physical Communication, 30, 107–114. (2018). Cited By: 55

A frequency hopping pattern inspired bionic underwater acoustic communication.

– Physical Communication, 46, 101288. (2021). Cited By: 43

Sheilla Ann Pacheco | Deep Learning for Computer Vision | Top Researcher in Computer Vision Award

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Assist. Prof. Dr. Sheilla Ann Pacheco | Deep Learning for Computer Vision | Top Researcher in Computer Vision Award

North Eastern Mindanao State University | Philippines

Dr. Sheilla Ann Bangoy Pacheco is an Assistant Professor at North Eastern Mindanao State University, specializing in machine learning, image processing, and adversarial AI. Her research focuses on robust facial recognition, privacy-preserving federated learning, and healthcare analytics. Her work on SARGAN-based face recognition and adversarial defense contributes to the development of secure and resilient biometric systems. Actively collaborating with international researchers, she adopts interdisciplinary approaches to address real-world challenges, particularly in healthcare and data privacy. Her contributions reflect growing societal relevance and a commitment to advancing trustworthy and secure artificial intelligence systems.

Citation Metrics (Scopus)

15

10

5

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Citations
10

Documents
5

h-index
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Featured Publications


Enhanced content-based image retrieval using multivisual features fusion.

– International Journal of Computers and Applications, 47(10), 835–856. (2025). Citefd By: 4

Hidden adversarial attack on facial biometrics: A comprehensive survey.

– Procedia Computer Science, 258, 1383–1390. (2025). Cited By: 2

A comprehensive survey on federated learning and its applications in health care.

– In 2024 6th IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 407–412). IEEE. (2024).  Cited By: 1

Performance of students in computer programming: An analysis.

– International Journal of Engineering Research in Computer Science and Engineering (IJERCSE), 10(1). (2023).  

Jianjun Zhang | Deep Learning for Computer Vision | Best Innovation Award

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Prof. Jianjun Zhang | Deep Learning for Computer Vision | Best Innovation Award

Teacher | Guangzhou Huali College | China

Prof. Jianjun Zhang is an academic researcher specializing in business administration education, digital intelligence, and the integration of big data and AI in higher education. He has authored over 30 publications indexed in CNKI, including one SCI paper and two EI-indexed works, reflecting steady scholarly impact. Zhang has led seven national and provincial research projects and collaborates with multidisciplinary teams on digital transformation in education. His work emphasizes virtual simulation and intelligent learning systems to enhance teaching efficiency and practical skill development. Recognized as a “double-qualified” educator, he effectively bridges theory and practice, contributing to workforce readiness and innovation in modern business education.

 

Profiles : ORCID

 

Featured Publications

Sheilla Ann Pacheco | Machine Learning for Computer Vision | Editorial Board Member

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Assist. Prof. Dr. Sheilla Ann Pacheco | Machine Learning for Computer Vision | Editorial Board Member

Faculty | North Eastern Mindanao State University | Philippines

Sheilla Ann B. Pacheco is an Assistant Professor II of Computer Science at North Eastern Mindanao State University, Philippines. Her research focuses on image processing, machine learning, computer vision, and AI-driven healthcare applications. She has authored multiple peer-reviewed journal and conference publications, with works appearing in international venues such as Procedia Computer Science, International Journal of Computers and Applications, and IEEE conferences. Her studies address content-based image retrieval, facial biometrics, adversarial attacks, and ensemble learning for disease prediction. Through interdisciplinary collaborations, her research contributes to advancing robust AI systems with practical societal impact in healthcare, education, and security domains.

 

Citation Metrics (Scopus)

30

20

10

5

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Citations
9

Documents
8

h-index
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        View Google Scholar Profile

Featured Publications


Enhanced content-based image retrieval using multivisual features fusion.

– International Journal of Computers and Applications. (2025). Cited By : 4

Robust face recognition under adversarial attack using SARGAN model and improved cross triple MobileNetV1.

– In K. Arai (Ed.), Advances in Information and Communication: Proceedings of the Future of Information and Communication Conference (pp. 491–510). Springer. (2025). Cited By: 2

A comprehensive survey on federated learning and its applications in health care.

– In Proceedings of the 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 407–412). IEEE.. (2024). Cited By: 1

Mohamed Ali Hajjaji | Applications of Computer Vision | Top Researcher Award

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Prof. Mohamed Ali Hajjaji | Applications of Computer Vision | Top Researcher Award

ISSAT De Sousse | University of Sousse | Tunisia

Prof. Mohamed Ali Hajjaji is a distinguished researcher at the Institut Supérieur des Sciences Appliquées et de Technologie de Sousse, Tunisia, specializing in FPGA-based systems, artificial intelligence, cryptography, and intelligent infrastructure monitoring. He is a key member of the PEJC 2025 project “Intelligent RoadGuard”, funded by the Tunisian Ministry of Higher Education and Scientific Research. With 71 publications cited over 608 times and an h-index of 16, his work spans hardware acceleration of neural networks, chaos-based cryptosystems, and real-time image processing. Collaborating with over 49 co-authors internationally, his research delivers practical solutions for autonomous systems, secure communications, and smart transportation, impacting both technology and societal safety.

 

Citation Metrics (Scopus)

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842

Documents
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h-index
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Featured Publications