Day 1
Monday, 15th April 2024
Registration 08.00 a.m. - 09.00 a.m
Introductions and Welcome notes
Emotion-Aware Text-to-Speech Synthesis: Development of a Novel Model for Emotional Expression in Speech
Emotion-Aware Text-to-Speech Synthesis: Development of a Novel Model for Emotional Expression in Speech
Regis N'guessan | AIMS RIC | 09.00 - 09.45
Topological Graph Neural Networks
Topological Graph Neural Networks
Péguy Kem-Meka Tiotsop Kadzue | AIMS RIC | 09.45 - 10.30
A validated and explainable machine learning framework for measuring parent child interactions in video
A validated and explainable machine learning framework for measuring parent child interactions in video
Irene Uwerikowe | AIMS RIC | 10.45 - 11.30
Developing novel machine learning models to measure responsive caregiving
Developing novel machine learning models to measure responsive caregiving
Jeremiah Ayock Ishaya | AIMS RIC | 11.30 - 12.25
Modelling the transmission of Rift Valley Fever disease in a spatial heterogeneous population in Rwanda
Modelling the transmission of Rift Valley Fever disease in a spatial heterogeneous population in Rwanda
Brigitte Umutoni | AIMS RIC | 13.30 - 14.15
Measuring urban socio-economic disparities in the global south from space using Convolutional Neural Network: The case of the City of Kigali, Rwanda
Measuring urban socio-economic disparities in the global south from space using Convolutional Neural Network: The case of the City of Kigali, Rwanda
Esaie Dufitimana | AIMS RIC | 14.15 - 15.00
Bayesian Spatial Modeling for Joint Analysis of Ecological Data from Multiple Sources: A Case Study of the African Baobab in Benin
Bayesian Spatial Modeling for Joint Analysis of Ecological Data from Multiple Sources: A Case Study of the African Baobab in Benin
Akoeugnigan Idelphonse Sode | AIMS RIC | 15.00 - 15.45
Physics Informed Neural Networks in Drying of Porous Materials
Physics Informed Neural Networks in Drying of Porous Materials
Mamadou Diallo | AIMS RIC | 16.05 - 16.50
Physics-Informed Neural Networks for Inverse Atmospheric Problems
Physics-Informed Neural Networks for Inverse Atmospheric Problems
Brenda Anague | AIMS RIC | 16.50 .- 17.35
Data Analysis and Forecasting of COVID-19 Within African Regions
Data Analysis and Forecasting of COVID-19 Within African Regions
Blessing Emerenini | Rochester Institute of Technology (RIT), New York | 17.35 - 18.20