De Santi, M., U. T. Khan, M. Arnold, J. Fesselet, and S. I. Ali (2021). ‘Forecasting point-of-consumption chlorine residual in refugee settlements using ensembles of artificial neural networks,’ npj Clean Water, 4 (35). doi: https://doi.org/10.1038/s41545-021-00125-2

Ali, S. I., S. S. Ali, and J. Fesselet (2021). ‘Modelling post-distribution chlorine decay in refugee camps: Evidence-based guidance for water chlorination in humanitarian emergencies,’ Water Research, 189(116642). doi: https://doi.org/10.1016/j.watres.2020.116642.

“Development of a machine-learning enabled Safe Water Optimization Tool for humanitarian response” Presentation at the 2020 Médecins Sans Frontières Scientific Days Conference, May 13-14, 2020: https://www.youtube.com/watch?v=n0jl8-JP0pk