16:00-16:05

Welcoming and setting of ground rules
Dr. Ernest Mwebaze and Claire Babirye - Sunbird AI and Makerere AI Lab

16:05-16:15

Machine Learning- Aided Classification of Covid-19 in Lung ultrasound images
Betty Mirembe - Makerere University

16:15-16:25

Identifying COVID-19 from chest Xrays using deep learning.
Jonathan Ssali Kiggundu - UTAMU

16:25-16:35

Real time feedback: Case study of crop diseases diagnosis application for smallholder farmers.
Omara Jonathan - Busitema University

16:35-16:45

Using Machine Learning to Understand the Association of Design Smells with Role-stereotypes in Software Systems.
Daniel Ogenrwot - Gulu University

16:45-16:55

Utilization of Machine learning algorithms to predict susceptibility to Urinary tract infections.
Jean Amukwatse - UTAMU

16:55-17:05

IoT & Intelligent Mobile-based Applications for Smallholder Farmers
Francis Xavier Inyangat - Busitema University

17:05-17:15

A mobile based skin disease diagnosis application using Convolutional Neural Networks
Dorothy Ainomugisha - TBC

17:15-17:25

PapsAI: A digital Pathology platform for automated Diagnosis of Cervical Cancer from Pap-smear images.
Dr. William - MUST

17:25-17:35

Deep Neural Networks for Surgical Tool Localization in Time-Series 2D Ultrasound
Alvin Kimbowa - Makerere University

17:35-17:45

A hybrid ARIMA-LSTM for forecasting wildlife roadkill patterns
Irene Nandutu - Rhodes University

17:45-18:00

Question and Answer around the case studies
Dr. Ernest Mwebaze and Claire Babirye - Sunbird AI and Makerere AI Lab