Dr John Quinn

Dr John Quinn, Makerere University, Uganda

 John QuinnBio: Dr John Quinn is a senior Lecturer in Computer Science at the School of Computing & Informatics Technology, Makerere University, Uganda. He is also a Visiting Lecturer in Computer Science at the University of Sheffield, UK. His research interests are in machine learning, computer vision and data mining, and particularly in the use of these in developing countries to solve problems in health, agriculture and resource allocation. For more information see the site of the Artificial Intelligence in the Developing World (AI-DEV) group, which he coordinates.


Title: Data analysis in developing countries: techniques for rapid, accurate and low-cost crop disease monitoring in Uganda

Abstract: The developing world might not seem at first glance like an ideal setting for computational data analysis. In fact, technological change in recent years has created a wide range of opportunities for such methods to address various practical problems there. The task of monitoring of the spread of infectious crop diseases with constrained resources is one interesting example in particular. I will talk about how different machine learning and statistical computing techniques can be used to optimise the use of available survey resources, based on our work on banana and cassava disease in Uganda. This includes methods to carry out diagnosis of disease with mobile devices, to combine the mapping and diagnosis problems into a single model, to deal with crowd-sourced data, and to dynamically route survey teams to the most interesting places on the map.