Research
Securing computer networks and systems
Network security models, blockchain, mobile security and cryptovirology, extending to cloud and IoT security. Current work concerns machine learning and NLP models for mobile financial fraud and scams.
Papers
Full record on Scholar →Selected peer-reviewed work. The full record is on Google Scholar.
2026
A systematic review of artificial intelligence and machine learning for public health predictions using electronic health records in low and middle income countries
Discover Artificial Intelligence · 6 (1), 944
2026
A systematic review of intelligent wireless communication and sensing for sustainable 5G and 6G enabled intelligent transportation systems
Discover Networks · 2 (1), 26
2026
A Multimodal Approach to Knowledge Tracing for Personalized Learning based on Cognitive and Affective Data in Resource-Constrained Environments
2026
A Multi Facility Data Quality Assessment of Electronic Health Records for Trustworthy AI in HIV Public Health in Zambia
2026
A White-box Approach to Forecasting Petrol Prices in Import-Dependent Economies based on Machine Learning and Explainable Artificial Intelligence
PhD candidates
Doctoral supervision, grouped by research theme.
Cybersecurity & artificial intelligence
Cybersecurity & blockchain privacy
Mwiza Norina Phiri
Nalumino Moola
AI and health informatics
Joe Phiri
Gabriel Kapumpe
IoT traffic route optimisation
Benjamin Simwinga
IoT deep learning satellite imagery
Soka Zimba
False data injection attacks (FDIAs) — smart grid cybersecurity
Chibozu Maambo
Thesis titles awaiting confirmation
Master's candidates
Postgraduate supervision, current and completed.
Coming soon
Master's supervision details are being compiled and will be published here.
Prospective candidates: see contact for supervision enquiries.
Personal research
Independent work in progress, outside formal publication.
Coming soon
Independent projects and works in progress are being compiled and will be published here.