Abel Yeboah-Ofori | Cybersecurity | Research Excellence Award

Published on by Research Hypothesis

Research Excellence Award

Abel Yeboah-Ofori
University of West London
               Abel Yeboah-Ofori
Affiliation University of West London
Country United Kingdom
Scopus ID 57208018436
Documents 29
Citations 427
h-index 10
Subject Area Cybersecurity
Event International Research Hypothesis Excellence Award
ORCID 0000-0001-8055-9274

Abel Yeboah-Ofori is affiliated with the University of West London in the United Kingdom and has contributed scholarly work within the field of cybersecurity research. His academic profile demonstrates contributions to cybersecurity architecture, cyber resilience, intelligent systems security, and cyber threat analysis. Based on available publication indicators and citation metrics, his profile reflects research engagement and measurable academic impact within applied cybersecurity studies.[1]

Abstract

This article presents an overview of the scholarly profile of Abel Yeboah-Ofori and examines the suitability of his academic achievements for recognition through the International Research Hypothesis Excellence Award. The discussion considers publication metrics, citation indicators, subject expertise, and research contributions within cybersecurity studies. Research performance indicators provide measurable evidence for evaluating scholarly productivity and influence.[1]

Keywords

Cybersecurity; Cyber resilience; Threat intelligence; Academic recognition; Research metrics; Information security; Citation analysis

Introduction

Cybersecurity research has become a significant interdisciplinary field due to increasing challenges associated with digital infrastructures, data protection, and cyber risk management. Researchers working within these domains contribute to theoretical and practical developments aimed at strengthening information systems and improving organizational resilience.[2]

Research Profile

Abel Yeboah-Ofori’s research profile demonstrates activity in cybersecurity scholarship with documented publications indexed in international research databases. Citation indicators suggest measurable engagement from the academic community. Research interests include cyber threat detection, adaptive cyber defense systems, and resilient computing environments.[1]

Research Contributions

A researcher focused on cybersecurity system architectures, cyber resilience, and advanced threat detection methodologies. Their scholarly work includes information assurance, secure digital frameworks, and cybersecurity risk assessment research, contributing to the development of resilient and secure technological environments.

Publications

Research publications contribute to the visibility and dissemination of cybersecurity knowledge. Indexed scholarly works and citation accumulation provide evidence of engagement and academic communication across research communities.[1]

Research Impact

Scholarly impact can be assessed through citation counts, h-index values, and publication metrics. Citation indicators of 427 and an h-index value of 10 suggest measurable academic influence and engagement from research communities.[1]

Award Suitability

Evaluation for the International Research Hypothesis Excellence Award may consider publication performance, research quality, contribution relevance, and disciplinary impact. The available research indicators associated with Abel Yeboah-Ofori demonstrate a scholarly profile aligned with academic recognition criteria and cybersecurity research advancement.[3]

Conclusion

The academic profile discussed in this article highlights cybersecurity-focused scholarship, measurable research indicators, and scholarly productivity. Academic evaluation frameworks frequently incorporate research output, citations, and broader impact indicators to assess suitability for research distinction and recognition awards.

References

  1. Elsevier. (n.d.). Scopus author details: Abel Yeboah-Ofori, Author ID 57208018436. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57208018436
  2. International Research Hypothesis Excellence Award.
    https://researchhypothesis.com/

  3. Yeboah-Ofori, A., Islam, S., Lee, S. W., Shamszaman, Z. U., Muhammad, K., et al. (2021). Cyber threat predictive analytics for improving cyber supply chain security.

  4. Yeboah-Ofori, A., & Islam, S. (2019). Cyber security threat modeling for supply chain organizational environments.

  5. Yeboah-Ofori, A. et al. Cybersecurity resilience studies and information systems protection research.

Jameel Shehu Yalli | Cybersecurity and Cryptography | Best Researcher Award

Published on by Research Hypothesis

Dr. Jameel Shehu Yalli | Cybersecurity and Cryptography | Best Researcher Award

Dr. Jameel Shehu Yalli | Cybersecurity and Cryptography | Best Researcher Award | Research Assistant | University Teknologi Petronas | Malaysia 

Dr. Jameel Shehu Yalli is a dedicated researcher and academic whose work spans cybersecurity, Internet of Things, information security, data science, wireless sensor networks, cloud and edge computing, distributed systems, and emerging digital technologies. With a strong academic foundation, Dr. Jameel Shehu Yalli earned his Bachelor’s Degree in Computer Science from Al-Qalam University in Nigeria, followed by a Master’s Degree in Computer & Information Engineering from the International Islamic University Malaysia, and a PhD in Information Technology from Universiti Teknologi PETRONAS, Malaysia, where his dissertation focused on designing lightweight and secure multi-level authentication protocols for IoT devices using advanced techniques such as Physical Unclonable Functions and Fuzzy Logic. His professional experience includes over a decade of active contributions across academia, government, and NGO sectors, serving as Lecturer II at Federal University Gusau, Lecturer III at Sa’adatu Rimi College of Education, Teaching Assistant at Universiti Teknologi PETRONAS, Production Officer at Neem Foundation, Field Officer at the Ministry of Land and Physical Planning, and Legislative Assistant at the Jigawa State House of Assembly. His research activities involve designing secure authentication frameworks, conducting systematic reviews, developing communication security models, writing manuscripts, preparing grant proposals, and contributing to multidisciplinary projects within the Centre for Research in Data Science (CeRDaS). Dr. Jameel Shehu Yalli’s research interests cover IoT security, cybercrime prevention, distributed computing, network security, big data analytics, embedded system security, and quantum computing, supported by strong analytical, programming, data modeling, simulation, and scientific writing skills. He is proficient in LaTeX, EndNote, MS Office, and various research tools used in cybersecurity and data analytics, and has peer-reviewed manuscripts for reputable journals such as IEEE Network Magazine, Computers, Materials & Continua, and the Journal of Cyber Security. His conference engagements include presenting research findings at global venues such as ESTCON, ICCUBEA, ICSPC, ICSCA, and IEEE Symposia. His awards include an Honorary Award for serving as Vice President of the Nigerian Students Community at the International Islamic University Malaysia, recognizing his leadership and service contributions. With active memberships in IEEE, IEEE Young Professionals, IEEE Internet of Things Technical Community, IEEE Communications Society, IAENG, and the IEEE Blockchain Community, Dr. Jameel Shehu Yalli continues to develop professionally through training workshops, teaching innovation programs, and technical development courses. Overall, Dr. Jameel Shehu Yalli remains committed to advancing cybersecurity and IoT research, strengthening academic excellence, and contributing to technological innovation that benefits global society.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications 

  1. Yalli, J. S., Hasan, M. H., Jung, L. T., & Al-Selwi, S. M. (2025). Authentication schemes for Internet of Things (IoT) networks: A systematic review and security assessment. Internet of Things.

  2. Aliyu, D. A., Akhir, E. A. P., Sawad, M. O. A., Yalli, J. S., & Saidu, Y. (2025). A reinforcement learning approach to personalized asthma exacerbation prediction using proximal policy optimization. IEEE Access.

  3. Yalli, J. S., Hasan, M. H., Jung, L. T., Yerima, A. I., Aliyu, D. A., Maiwada, U. D., Al-Selwi, S. M., & Shaikh, M. U. R. (2025). A systematic review for evaluating IoT security: A focus on authentication, protocols and enabling technologies. IEEE Internet of Things.

  4. Maiwada, U. D., Yakubu, M. M., Maiwada, A. D., Yalli, J. S., & Yakasai, I. K. (2024). Techniques to improve 5G blockchain scalability issues through an analysis of a blockchain scalability. International Journal of Data Informatics and Intelligent Computing.

  5. Yalli, J. S., Hasan, M. H., & Badawi, A. A. (2024). Internet of Things (IoT): Origins, embedded technologies, smart applications, and its growth in the last decade. IEEE Access.

  6. Yalli, J. S. (2015). QoS improvement for interactive multi-media traffic under high-speed wireless campus network. Unpublished master’s thesis. International Islamic University Malaysia.

  7. Yalli, J. S. (PhD work). Lightweight and secure multi-level authentication protocol for IoT using physical unclonable functions and fuzzy logic. Doctoral dissertation. Universiti Teknologi PETRONAS.