Mubanga Mpundu | Information security and economy | Best Researcher Award

Published on by Global CSE Awards

Best Researcher Award

Mubanga Mpundu
Affiliation University of the Western Cape
Country South Africa
Subject Area Information Security and Economy
Scopus Profile 57213045767
Documents 13
Citations 11
h-index 2
Event Global CSE Awards
ORCID ORCID Profile

Mubanga Mpundu is a researcher affiliated with the University of the Western Cape, South Africa, whose stated academic subject area includes Information Security and Economy. This interdisciplinary field explores the relationship between information protection, economic development, social protection, investment, sectoral growth, and entrepreneurship. The supplied publications associated with the research profile address productive inclusion through social protection in Namibia, investment share and sectoral output growth in South Africa, and the role of non-governmental organisations in youth entrepreneurship development across Sub-Saharan Africa.[1] [2] [3]

Abstract

This article presents the academic research profile of Mubanga Mpundu, affiliated with the University of the Western Cape, South Africa, in the subject area of Information Security and Economy.  According to the supplied Scopus information, the researcher has 13 documents, 11 citations, and an h-index of 2. These academic details provide an overview of the research profile and its focus on economic development and institutional support mechanisms. [1]

Keywords

Information Security and Economy; Social Protection; Productive Inclusion; Namibia; Investment Share; Sectoral Output Growth; Agriculture; Mining; Economic Development; Youth Entrepreneurship; Non-Governmental Organisations; NGOs; Sub-Saharan Africa; Development Support Mechanisms; Entrepreneurship Development; Economic Research.

Introduction

Information security and economy represent interconnected areas of study concerned with information protection, economic systems, institutional development, and the relationship between technology and economic activity. Information security contributes to the protection of information assets and the reliability of digital systems that increasingly support economic activities.[3]

Research Profile

Mubanga Mpundu is affiliated with the University of the Western Cape, South Africa. The stated subject area for this research profile is Information Security and Economy. The supplied publication titles indicate research interests involving social protection and productive inclusion, investment and sectoral output growth, and institutional mechanisms supporting youth entrepreneurship in Sub-Saharan Africa.The supplied Scopus details indicate 13 scholarly documents, 11 citations, and an h-index of 2. [1] [2]

Research Contributions

One of the supplied publications examines reorienting social protection for productive inclusion in Namibia. Social protection programmes are important components of development policy, supporting individuals and communities through different forms of assistance. These research topics provide perspectives on policy, economic activity, and development mechanisms across Namibia, South Africa, and Sub-Saharan Africa.[2] [3]

Publications

The following publications were provided as references for the research profile of Mubanga Mpundu. These works address social protection and productive inclusion, investment and sectoral output growth in South Africa, and NGO support for youth entrepreneurship development in Sub-Saharan Africa. [1]

Research Impact

Research on social protection and productive inclusion contributes to discussions about how development programmes can support economic participation and livelihood opportunities. Examining social protection in Namibia provides a context for understanding the relationship between assistance programmes and productive inclusion. [1] [3]

Award Suitability

The Best Researcher Award recognizes academic research contributions, scholarly publications, and research achievements within a relevant discipline. In the field of Information Security and Economy, relevant research may include information protection, economic policy, development studies, investment analysis, social protection, sectoral growth, and entrepreneurship development. The provided Scopus information records 13 documents, 11 citations, and an h-index of 2. [2] [3]

Conclusion

Mubanga Mpundu’s academic profile is associated with the University of the Western Cape, South Africa, and the subject area of Information Security and Economy. The supplied Scopus information includes 13 documents, 11 citations, and an h-index of 2. The provided research publications examine productive inclusion through social protection in Namibia, investment share and sectoral output growth in South Africa.  [1] [2] [3]

References

  1. Reorienting social protection for productive inclusion in Namibia.
    http://dx.doi.org/10.14426/f09fwf70
  2. Investment Share and Sectoral Output Growth in South Africa: Evidence from Agriculture and Mining.
    https://doi.org/10.59857/gmt3ct07
  3. Non-Governmental Organisations and Youth Entrepreneurship Development in Sub-Saharan Africa: A Systematic Review of Support Mechanisms, Outcomes and Challenges.
    http://dx.doi.org/10.53819/81018102t7099

Shamsuddeen Umaru Adamu | Cybersecurity | Best Researcher Award

Published on by Global CSE Awards

Best Researcher Award

Shamsuddeen Umaru Adamu — Kaduna State University

Shamsuddeen Umaru Adamu
Affiliation Kaduna State University
Country Nigeria
Scopus ID 59104600400
Documents 2
Citations 6
h-index 1
Subject Area Cybersecurity
Event Global CSE Awards
ORCID 0000-0001-8227-220X

Shamsuddeen Umaru Adamu is a researcher affiliated with Kaduna State University, Nigeria, whose documented scholarly work is associated with cybersecurity and related computational research. His research record includes studies addressing cybersecurity frameworks in higher education and natural language processing involving Hausa-language data, reflecting interdisciplinary engagement with security, technology, and African language resources. [1] [2]

Abstract

Shamsuddeen Umaru Adamu is a cybersecurity researcher affiliated with Kaduna State University, Nigeria. His documented research interests include cybersecurity frameworks in higher education and computational language technologies involving Hausa, demonstrating an intersection of information security, artificial intelligence, and African language resources. His publication record includes work examining the adoption and effectiveness of cybersecurity frameworks within higher education institutions, together with contributions to sentiment analysis using low-resource Hausa tweet data. These studies address practical and methodological challenges relevant to secure digital environments and inclusive language technologies. His Scopus record reports two documents, six citations, and an h-index of one, providing measurable evidence of scholarly activity.

Keywords

Cybersecurity, Cybersecurity Frameworks, Higher Education Security, Information Security, Hausa Natural Language Processing, Sentiment Analysis, Low-Resource Languages, African Language Technology, Computational Research, Cybersecurity Research. [1] [2]

Introduction

Cybersecurity research in higher education addresses institutional protection, governance, risk management, and effective security practices across increasingly digital academic environments. Adamu’s documented work examines cybersecurity framework adoption and effectiveness, while related research explores Hausa-language sentiment analysis using low-resource social-media data. These topics demonstrate engagement with contemporary computational challenges. [1] [2]

Research Profile

Adamu’s research profile is centered on cybersecurity, with documented scholarly activity extending into natural language processing and sentiment analysis. His work connects information security concerns with computational methods and African language resources, indicating an interdisciplinary research orientation. The available publication record provides evidence of research activity across security and language-technology themes. [1] [2]

Research Contributions

The documented contributions include examination of cybersecurity framework adoption and effectiveness in higher education institutions, alongside participation in research addressing sentiment analysis for Hausa, a relatively low-resource African language. Together, these works contribute to discussions of institutional cybersecurity and computational approaches for improving language-data analysis in underrepresented linguistic contexts. [1] [2] [3]

Publications

The available publication record includes a systematic literature review concerning cybersecurity framework adoption in higher education and two Scopus-indexed records associated with HausaNLP and SemEval-2023 Task 12. These publications reflect research activity spanning cybersecurity, natural language processing, sentiment analysis, and low-resource African language technologies, with the cited records providing bibliographic verification. [1] [2] [3]

Research Impact

The available Scopus indicators report two documents, six citations, and an h-index of one, providing a quantitative snapshot of Adamu’s indexed research activity. His work on cybersecurity frameworks is relevant to institutional security discussions, while HausaNLP research supports broader efforts to develop computational resources and analytical methods for African low-resource languages. [1] [2]

Award Suitability

Adamu’s documented research activity aligns with the Best Researcher Award through its focus on cybersecurity and related computational research. His publications address applied security questions and low-resource language technology, demonstrating scholarly engagement across complementary areas of computer science. The available bibliographic record and citation indicators provide supporting evidence for recognition consideration. [1] [2] [3]

Conclusion

Shamsuddeen Umaru Adamu’s documented scholarly profile reflects research activity in cybersecurity and computational language technologies. His work addresses cybersecurity frameworks in higher education and sentiment analysis for Hausa-language data, connecting practical security concerns with emerging computational research. The available Scopus indicators and indexed publications provide a basis for academic recognition. [1] [2]

References

  1. A systematic literature review on the adoption and effectiveness of cybersecurity frameworks in higher education institutions. (n.d.). Scopus.
    https://www.scopus.com/inward/record.url?eid=2-s2.0-105029652508&partnerID=MN8TOARS
  2. HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis. (n.d.). Scopus.
    https://www.scopus.com/inward/record.url?eid=2-s2.0-85159598145&partnerID=MN8TOARS
  3. HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis. (n.d.). Scopus.
    https://www.scopus.com/inward/record.url?eid=2-s2.0-85161065173&partnerID=MN8TOARS

Eshetie Teka | Cyber Security | Innovative Research Award

Published on by Global CSE Awards

Innovative Research Award

Eshetie Teka
University of Gondar, Ethiopia
                Eshetie Teka
Affiliation University of Gondar
Country Ethiopia
Google Scholar ID 12Ydj_QAAAAJ
Documents 3
Citations 9
h-index 1
Subject Area Cyber Security
Event Global CSE Awards

Eshetie Teka is affiliated with the University of Gondar, Ethiopia, and has contributed to interdisciplinary research in cyber security, machine learning, and health data analytics. His academic work focuses on predictive analytics and blockchain-enabled cyber security frameworks designed to address distributed network vulnerabilities and public health challenges. Through collaborative research activities, he has participated in studies involving ensemble machine learning algorithms for child stunting prediction and blockchain-based protection mechanisms against Distributed Denial of Service attacks. His scholarly publications demonstrate an emerging contribution to applied computing and data-driven security research within academic and technological domains.[1][2]

Abstract

This article presents an overview of the academic and research contributions of Eshetie Teka in the areas of cyber security, blockchain systems, and machine learning applications in health analytics. His research activities demonstrate interdisciplinary integration between computational intelligence and practical societal challenges. The documented publications highlight analytical approaches for predictive health assessment and blockchain-supported protection against cyber threats. These studies contribute to emerging technological advancements and support data-driven decision-making within modern digital infrastructures and healthcare-oriented analytical environments.[1]

Keywords

Cyber Security, Blockchain Technology, Machine Learning, Ensemble Algorithms, Predictive Analytics, DDoS Protection, Health Informatics, Data Science, Ethiopia, Distributed Systems.

Introduction

Eshetie Teka’s academic activities focus on integrating computational technologies with practical problem-solving approaches in cyber security and healthcare analytics. His work reflects the growing importance of machine learning and blockchain technologies in modern research environments. The studies demonstrate interdisciplinary collaboration and evidence-based technological innovation within digital systems and predictive modeling applications.[2]

Research Profile

The research profile of Eshetie Teka includes cyber security systems, blockchain-enabled protection frameworks, and machine learning-driven predictive analytics. His publications indicate collaborative engagement in solving healthcare and networking challenges through computational methodologies. The research demonstrates a combination of applied data science, information security principles, and modern analytical technologies.[1]

Research Contributions

His contributions include predictive modeling for identifying child stunting conditions using ensemble machine learning methods and blockchain-based security architectures for DDoS attack prevention. These studies support technological advancement in healthcare data analytics and network protection. The contributions illustrate practical applications of computational intelligence in real-world environments.[1][2]

Publications

    • Predicting stunting status among under five children in Ethiopia using ensemble machine learning algorithms.[1]
    • Designing of blockchain-based cyber security for the protection of Distributed Denial of Service (DDoS) attacks on client–server networks.[2]

Research Impact

The research outputs contribute to ongoing discussions regarding data-driven healthcare analysis and cyber security resilience. By applying machine learning and blockchain methodologies, the studies provide frameworks that may support decision-making, digital protection, and predictive assessment processes. These contributions demonstrate the relevance of interdisciplinary computational research within emerging technological sectors.[2]

Award Suitability

Eshetie Teka’s interdisciplinary research activities align with the objectives of the Global CSE Awards, particularly within cyber security and intelligent computing applications. His studies on blockchain-enabled protection systems and predictive machine learning models reflect innovation-oriented academic engagement and demonstrate emerging scholarly contributions suitable for international academic recognition initiatives.[1]

Conclusion

The academic profile of Eshetie Teka highlights growing involvement in computational research focused on cyber security and predictive analytics. His collaborative publications demonstrate the integration of machine learning and blockchain technologies into practical applications. These scholarly contributions indicate meaningful participation in advancing research within interdisciplinary technology-oriented academic domains.[1][2]

References

    1. Ayele, M. K., Baye, G. A., Yesuf, S. H., Engda, A. A., & Mitiku, E. T. (2025). Predicting stunting status among under five children in Ethiopia using ensemble machine learning algorithms. Nature.com listing. Nature.
      https://www.nature.com/articles/s41598-025-03206-1
    2. Mitiku, E. T., Munaye, Y. Y., Selvakumar, S., Mitiku, G. A., Belete, A. A., Zeru, S. A., et al. (2024). Designing of blockchain-based cyber security for the protection of Distributed Denial of Service (DDoS) attacks on client–server networks. Discover Data, 4(1), 8.
      https://link.springer.com/article/10.1007/s44248-026-00107-0
    3. Google Scholar. (n.d.). Eshetie Teka – Google Scholar profile. Google Scholar.
      https://scholar.google.com/citations?user=12Ydj_QAAAAJ&hl=en