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Publications

2026
  1. Mukhalela. B.U, Viriri, S., Ndzi, D., Gebreslasie, M., Zeeshan Shakir M., Ramzan, N., Ayaz, F., Lynch, M., Spencer, L.H., Naidoo, S., Nadesan-Reddy, N., Mahomed, O., Dickinson, N. and Henriquez, F. (2026). Deep learning techniques for extreme rainfall prediction: a review of state-of-the-art. Frontiers in Artificial Intelligence. 9:1908848. doi: 10.3389/frai.2026.1908848
  2. Ashford, A., Ayaz, F., Shakir, M. Z., Ramzan, N., Grebreslasie, M., Viriri, S., Ndzi, D., Dickinson, N., Spencer, L. H., Lynch, M., & Naidoo, S. (2026). Machine Learning for Heatwave Prediction: A Global Scoping Review of Environmental Predictors and Modelling Practices. Forecasting, 8(4), 63. https://doi.org/10.3390/forecast8040063
  3. Ayaz. F., Ashford, A., Shakir, M.Z., Ramzan, N., Gebreslasie, M., Viriri, S., Ndzi, D., Dickinson, N., Spencer, L.H., Lynch, M., Henriquez-Mui, F., Mahomed, O., Naidoo, S., and Nadesan-Reddy, N. (2026) Environmental predictors and machine learning models for climate-health risk prediction from extreme weather events: a global systematic review. Frontiers in Climate 8:1843933. doi: 10.3389/fclim.2026.1843933
  4. Shandu, I.D., Gebreslasie, M., Xulu, S., Ndzi, D., Viriri, S., Shakir, M.Z., Spencer, L.H., Lynch, M., Dickinson, N., Miller, C., and Naidoo, S. (2026). Flood modelling and flood decision making: a scoping review of the progress of flood technologies and applications. Front. Water 8:1812334. doi: 10.3389/frwa.2026.1812334