Webinar | Comparative Performance of Ensemble Learning and Deep Sequential Networks for Malaria Incidence Forecasting in the Upper West Region of Ghana
- 5 days ago
- 1 min read
Topic: Comparative Performance of Ensemble Learning and Deep Sequential Networks for Malaria Incidence Forecasting in the Upper West Region of Ghana
Speaker/s: Dr Jacob Agyekum
Date: 7 April 2026
Time: 1:30 PM – 2:30 PM SAST
Join Zoom Meeting: https://up-ac-za.zoom.us/j/96844350113?pwd=JLbIOuns9VmdCrbSCbZiakog5A2VDE.1&jst=2
passcode: 749196
Meeting host: vukosi.marivate@cs.up.ac.za
Dr Jacob Agyekum is a Research Scientist (Climate) at the CSIR-Water Research Institute in Ghana and a Fellow at Future Africa Research Leadership Fellowship (FAR-LeaF II) at the University of Pretoria, South Africa. With a PhD in Meteorology and Climate Science from KNUST, his work sits at the critical intersection of hydro-meteorology and public health. Currently a Research Resident at the University of Pretoria’s Data Science for Social Impact (DSFSI) lab, Dr Agyekum is pioneering localised AI systems designed to address African environmental challenges. His current research focuses on leveraging ensemble machine learning and deep learning to develop adaptive early warning systems for malaria in Northern Ghana. He is a Fellow of the Royal Meteorological Society and a passionate advocate for science-driven policy.
