Computer Science Research at Makerere University Tuesday, June 27, 1:30 PM, CSE2 371 Makerere University in Kampala, Uganda, is one of the leading universities in Africa. The Allen School has a number of joint projects with Makerere, including the Makerere Scholars' Program which supports CS PhD students to visit the Allen school for one year to work with research mentors. Two of the Computer Science faculty from Makerere, Engineer Bainomugisha and Joyce Nabende are visiting the Allen School this week, and will give a survey of on going computer science research in their department. This will include both work in Systems including cloud technologies for low resource settings and well as work in AI with applications to health and agriculture. Please attend this talk if you are interested in learning more about Computer Science Research in Africa, and partnerships we are building in the Allen School. Engineer Bainomugisha <https://ibaino.net> is an Associate Professor & Chair of Computer Science at Makerere University, Uganda where he works on problems related to urban environmental sustainability, cloud computing in low-resource settings, and security in mobile money systems. Engineer leads the AirQo research center<https://airqo.africa> that develops and deploys low-cost sensing and AI systems for environmental air pollution monitoring and analysis in 10+ African cities. He leads the Crane Cloud research team <https://cranecloud.io> on cloud native technologies in low-resource settings and is also a co-founder of Sunbird AI<https://sunbird.ai>, AI for social impact non profit based in Kampala, Uganda. He previously worked on programming language engineering for mobile systems at Vrije Universiteit Brussels in Belgium. Engineer's contact: baino@mak.ac.ug<mailto:baino@mak.ac.ug> or bainomugisha@gmail.com<mailto:bainomugisha@gmail.com> Joyce Nakatumba-Nabende is a lecturer in the Department of Computer Science at Makerere University. She heads the Makerere Artificial Intelligence Lab, a research lab in the Department of Computer Science. She is also a board member of Data Science Africa which aims to grow a critical mass of Data Science professionals in Africa to meet the increasing demand in the private and public sectors. Her research interests are Machine Learning, Natural Language Processing, and Responsible AI. Currently, she is researching in several areas in the use of machine learning in health and agriculture domains in the developing world. Email: joyce.nabende@mak.ac.ug<mailto:joyce.nabende@mak.ac.ug> or jnakatumba@gmail.com