Personal profile
Research Interests
Artificial intelligence, applied machine learning, health informatics and ICT4D.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 5 Gender Equality -
SDG 6 Clean Water and Sanitation -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
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Dive into the research topics where Elliot Mbunge is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Bridging immunization gaps in Sub-Saharan Africa: a narrative review of microplanning, geospatial, and machine learning approaches to reach zero-dose children and under-immunised children
Musuka, G., Umar, A. U., Dadari, I., Moyo, E., Mano, O., Iradukunda, P. G., Mbunge, E., Murewanhema, G., Dhliwayo, T., Mataruse, N., Sayem, A. S. M. & Dzinamarira, T., 19 Apr 2026, In: Vaccine. 79, 128413.Research output: Contribution to journal › Review article › peer-review
Open Access -
Modelling Behavioural Intention for Generative AI Adoption in Higher Education Institutions: A Modified UTAUT and SEM Approach
Batani, J. & Mbunge, E., 2026, Software Engineering: Emerging Trends and Practices in System Development - Proceedings of 14th Computer Science On-line Conference, 2025. Silhavy, R. & Silhavy, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 391-401 11 p. (Lecture Notes in Networks and Systems; vol. 1558 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Predicting 30-Day Readmission Risks in Breast Cancer Patients: An Explainable Machine Learning Approach
Mqadi, M., Mbunge, E. & Makaba, T., Mar 2026, In: Applied Sciences (Switzerland). 16, 5, 2467.Research output: Contribution to journal › Article › peer-review
Open Access -
Prevalence and determinants of full immunization among children under five in sub-Saharan Africa: A systematic review and meta-analysis (2013–2025)
Dzinamarira, T., Mano, O., Musuka, G., Madziva, R., Mataruse, N., Mbunge, E., Nkambule, S. J. & Moyo, E., 7 Mar 2026, In: Vaccine. 75, 128228.Research output: Contribution to journal › Review article › peer-review
Open Access -
A Comparative Analysis of Backdoor and Label-Flipping Attacks on Credit Card Fraud Detection Using Ensemble Learning Techniques
Fashoto, S. G., Olamijuwon, J., Oyekanmi, E. O., Mbunge, E., Elujide, I., Kwenda, C., Nhinda, G. & Shava, F. B., 2025, 2025 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2025 - Proceedings. Jat, D. S., Shava, F. B., Zodi, G.-A., Tripathi, M., Jhanjhi, N. Z., Gajrani, J., Hamunyela, S. & Muchinenyika, S. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1184-1191 8 p. (2025 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2025 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press/Media
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Research on Cybersecurity Reported by Researchers at University of Eswatini (A review of deep learning models to detect malware in Android applications)
22/11/24
1 item of Media coverage
Press/Media