Full Name
Malaizyo G Muzumala
Email Address
malaizyogmuzumalaATgmailDOTcom
Role
Postgraduate Student
Research Supervisor
Programme of Study
MSc Computer Science
Research Inception Year
2023
Research Interests
Artificial Intelligence
Machine Learning
Graduation Status
Graduated
Biography
I am a Master of Science in Computer Science student at The University of Zambia. I currently work for Lendbox a startup of mine as well as I'm interning at the National Assembly of Zambia ICT department in the applications division where we're developing cool software to help our democracy. I did my undergraduate studies in Computer Science specializing in software engineering at The University of Zambia and graduated with Merit. I have a deep interest in learning and developing solutions.
Projects
Publications
Chibuta, Peter, Lighton Phiri, Ernest Obbie Zulu, and Malaizyo Muzumala. 2026. “Global South Health Practitioners’ Awareness and Perceptions of Integrating Artificial Intelligence in Radiological Workflows: A Quantitative Nationwide Study in Health Facilities in Zambia”. In Medical Image Computing in Resource Constrained Settings, 175-84. Cham, Switzerland: Springer Nature Switzerland. doi:10.1007/978-3-032-13654-1_18. |
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Muzumala, Malaizyo, Ernest Obbie Zulu, Peter Chibuta, Mayumbo Nyirenda, and Lighton Phiri. 2025. “Evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence Systems in Low-Resource Settings: Semi-Automated Classification and Detection of Community Acquired Pneumonia”. In Applications of Medical Artificial Intelligence (AMAI 2024), 116-26. Marrakech, Morocco: Springer Nature Switzerland. doi:10.1007/978-3-031-82007-6_12. |
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Muzumala, Malaizyo. 2025. “Exploring Artificial Intelligence Based Interpretation of Medical Images in Radiological Workflows in Zambia”. Department of Computing and Informatics. Lusaka, Zambia: The University of Zambia. |
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Phiri, Lighton, Zola Mahlaza, Ernest Obbie Zulu, Rabson Mbewe, Peter Chibuta, Malaizyo Muzumala, Andrew Shawa, and Elijah Chileshe. 2024. “Leveraging Artificial Intelligence for Efficient and Effective Radiological Workflows: A Multi-Pronged Approach for Semi-Automated Radiological Workflows”. presented at the 12th Data Science Africa Workshop (DSA 2024), Nyeri, Kenya. |
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Chibuta, Peter, Elijah Chileshe, Rabson Mbewe, Malaizyo Muzumala, Lighton Phiri, and Andrew Shawa. 2024. “Enterprise Medical Imaging in Zambia: Policies and Procedures Workshop”. presented at the Enterprise Medical Imaging in Zambia Policies and Procedures Workshop, Confucius Institute, University of Zambia, Lusaka, Zambia. |
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