Ebenezer Esenogho | Computer Science | Research Excellence Award

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Research Excellence Award

Ebenezer Esenogho
University of South Africa

 

Research Profile
Affiliation University of South Africa
Country South Africa
Scopus ID 57193790575
Documents 976
Citations 1200
h-index 15
Subject Area Computer science
Event worldtopscientists.com

The Research Excellence Award is a recognition highlighting scholarly contributions in the field of computer science. This article presents an academic overview of the research profile and contributions of Ebenezer Esenogho, affiliated with the University of South Africa. The recognition is associated with global academic indexing and evaluation platforms, emphasizing measurable research output and citation metrics[1].

Abstract

This article provides a structured academic overview of the scholarly profile of Ebenezer Esenogho, focusing on bibliometric indicators such as publication count, citation impact, and h-index. The work contextualizes the Research Excellence Award within global academic evaluation systems and outlines its relevance to computational research fields[1].

Keywords

Research Excellence, Computer Science, Scopus Metrics, Academic Impact, Citation Analysis, Scholarly Recognition

Introduction

Academic recognition systems have increasingly relied on quantitative indicators to assess research quality and influence. The Research Excellence Award reflects such frameworks by emphasizing measurable outputs, including publications and citations indexed in global databases such as Scopus[1].

Research Profile

Ebenezer Esenogho’s research profile is characterized by a substantial number of indexed documents and a growing citation base. The h-index indicates consistent scholarly contributions across multiple publications. His affiliation with the University of South Africa positions his work within a recognized academic institution contributing to global research networks[1].

Research Contributions

  • Development of computational models and algorithms
  • Contributions to data analysis and machine learning applications
  • Interdisciplinary research in applied computer science

Publications

The publication record includes peer-reviewed journal articles, conference proceedings, and collaborative research outputs. These works are indexed in major academic databases and contribute to citation-based evaluation metrics[2].

Research Impact

The research impact is reflected through citation counts and engagement within the academic community. Citation metrics serve as indicators of influence, while collaborative research enhances interdisciplinary reach[2].

Award Suitability

The suitability for the Research Excellence Award is determined by a combination of bibliometric indicators and academic contributions. The documented metrics align with criteria commonly used by global recognition platforms, including publication volume, citation impact, and scholarly consistency[1].

Conclusion

This article outlines the academic profile and contributions of Ebenezer Esenogho within the context of research evaluation systems. The structured metrics and documented outputs demonstrate alignment with recognized standards for scholarly excellence in computer science.

References

    1. Elsevier. (n.d.). Scopus author details: Ebenezer Esenogho, Author ID 57193790575. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57193790575
    2. Obaido, G., Mienye, I. D., Aruleba, K., Chukwu, C. W., Esenogho, E., & Modisane, C. (2025, December 26).
      A survey of contrastive learning in medical AI: Foundations, biomedical modalities, and future directions (Preprint).https://doi.org/10.20944/preprints202512.2393.v1
    3. Nkuna, M., Esenogho, E., & Ali, A. (2025, December 18).
      Using steganography and artificial neural network for data forensic validation and counter image deepfakes (Preprint).https://doi.org/10.20944/preprints202512.1619.v1

Joseph Squillace | Cybersecurity | Global Scientific Impact Award

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Dr. Joseph Squillace | Cybersecurity | Global Scientific Impact Award

Associate Professor | The Pennsylvania State University | United States

Dr. Joseph Michael Squillace is an Assistant Professor of Cybersecurity at Penn State University, Schuylkill, specializing in information security, privacy, cyber policy management, and cybersecurity education. He holds a Ph.D. in Information Systems from Nova Southeastern University, where his doctoral research examined corporate investments in privacy, along with master’s and bachelor’s degrees in computer information systems and information technology, both with concentrations in cybersecurity and network engineering. Dr. Squillace’s professional contributions span leadership in cybersecurity pedagogy, research project management, and the development of educational frameworks focused on cyber awareness, ethical computing, and privacy protection. His research explores areas including cyberbullying prevention, artificial intelligence vulnerabilities, privacy inequality, and the cybersecurity of critical infrastructure, with numerous peer-reviewed publications in leading international journals and conferences. He has successfully secured significant research funding from federal agencies and international organizations, advancing cyber education and public safety initiatives. Dr. Squillace has been honored with multiple institutional and national awards recognizing excellence in teaching, research, and community engagement, and he has served as a keynote speaker, visiting professor, and academic fellow for cybersecurity organizations across Europe and the United States. His interdisciplinary work continues to shape the intersection of technology, governance, and human behavior in building secure and equitable digital environments.

Profiles: Google Scholar | ORCID

Featured Publications

  1. 1. Squillace, J., Hozella, Z., Cappella, J., & Sepp, A. (2023). An exploration of SETA in cyber bullying to reduce social harm and juvenile suicide. IEEE World AI IoT Congress (AIIoT), 477–480.

    2. Squillace, J., Cappella, J., & Sepp, A. (2024). User vulnerabilities in AI-driven systems: Current cybersecurity threat dynamics and malicious exploits in supply chain management and project management. ASU International Conference in Emerging Technologies for Industry 4.0.

    3. Bantan, M., & Squillace, J. (2022). Privacy inequality and IT identities: The impact of different privacy laws adoptions. Journal of Information Privacy and Security.

    4. Squillace, J., & Cappella, J. (2024). Examining how targeted cyber attacks on critical supply chain networks can lead to economic collapse and civil unrest. IEEE SoutheastCon, 1482–1489.

    5. Squillace, J., & Bantan, M. (2022). A taxonomy of privacy, trust, and security breach incidents of Internet-of-Things linked to F (M). AANG corporations. IEEE World AI IoT Congress (AIIoT), 591–596.

Osama Sohaib | Information Systems | Best Researcher Award

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Dr. Osama Sohaib | Information Systems | Best Researcher Award

Associate Professor, American University of Ras Al Khaimah, United Arab Emirates

Dr. Osama Sohaib is an Associate Professor of Business Analytics at the American University of Ras al Khaimah, UAE. He holds a Ph.D. in Information Systems from the University of Technology Sydney, Australia. With over 15 years of teaching experience, Dr. Sohaib is dedicated to educating and mentoring undergraduate and postgraduate students in information systems, focusing on the intersection of technology and business. 🌍📚

Publication Profile

Google Scholar

Education

Dr. Sohaib earned his Ph.D. in Information Systems in 2015 from the University of Technology Sydney, Australia. He is currently pursuing a Master of Business Analytics at the University of Queensland and holds a Graduate Certificate in Applied Artificial Intelligence from Charles Sturt University. His academic journey also includes a Master of Science in Computer Science, a Postgraduate Diploma in Information Management, and a Bachelor of Science in Software Development. 🎓📖

Experience

With over 15 years of experience in academia, Dr. Sohaib has held various positions, including Associate Professor at the American University of Ras al Khaimah and Lecturer at the University of Technology Sydney. He has also taught at Macquarie University and the University of New South Wales. His roles have included supervising research students, coordinating academic programs, and contributing to funded projects in business information systems. 💼👨‍🏫

Research Focus

Dr. Sohaib’s research interests encompass business information systems, e-services, digital privacy, digital transformation, business intelligence, decision-making, and applied machine learning. His work aims to enhance service effectiveness across various sectors, including digital business, healthcare, education, and government, with a strong emphasis on the ethical and societal implications of technology. 💡🔍

Awards and Honors

Dr. Sohaib has received multiple accolades, including the “Research of the Year” award from the School of Business at AURAK for his exceptional research contributions in 2023 and 2024. He was also honored with the “Best Paper Award” at the 25th International Conference on Information Systems Development in 2016 for his work on web content accessibility. 🏆🌟

Publication Top Notes

Assessing Web Content Accessibility of E-Commerce Websites for People with Disabilities
Best Paper Award, 2016
Link to Publication | 2016 | Journal of Information Systems Development | Cited by: 120

Digital Privacy in the Age of Big Data and Machine Learning: People’s Expectations and Experiences
Link to Publication | 2022 | International Journal of Information Management | Cited by: 85

Factors Influencing Continuance Intention in Augmented Reality Platforms
Link to Publication | 2023 | Journal of Business Research | Cited by: 45

Opportunities and Challenges in the Implementation of AI in Accounting and Auditing Software
Link to Publication | 2024 | International Journal of Accounting Information Systems | Cited by: 10

The Effect of Individual’s Technological Belief and Usage on their Absorptive Capacity towards their Learning Behaviour in the Learning Environment
Link to Publication | 2020 | Computers & Education | Cited by: 30