Edison is a highly rated Python Developer in Uganda and a professional Athlete. He has experience creating Backends, Front Ends and deploying Data Engineering skills to answer complicated questions using large data sets. Having started out making scrapers on freelance; He has worked on projects ranging from Flask & Django Backends, Data Analysis and Visualization, Machine Learning, Cloud Computing and Python GUIs.
Mutembesa is a Project Head & Lead Researcher for an Adhoc Surveillance Project focusing on the smart-phone application tool kits that has been developed by the mcrops team to facilitate and provide automated diagnosis and improved vector & symptom measurement for Cassava viral diesease and pests it also looks at crowdsourced Crop health data through an Ad-hoc Surveillance system. Daniel is also an Instructor of Oracle & Database Systems Eng. at the Department for Professional Skills Development, Makerere University and an Assistant Tutor of Dr. Ernest Mwebaze at the Department of Computer Science College of Computing & information systems at the same University.
Vitalis Asiku is currently an MFS Data Analyst at MTN Uganda. He previously worked as a researcher at the Artificial Intelligence and Data Science lab at Makerere University. He is a graduate of The University of Manchester where he pursued a Masters degree in Computer science specialising in Artificial Intelligence. He is skilled in the entire data science pipeline from data engineering, to model design and visualisation.
Akera is currently a research assistant with the data science team at Makerere University’s AI Research Lab. His interests are diverse from traditional machine learning, deep learning, non-linear optimization and AI in general to computer vision. He is interested in broadening the scope of problems studied by the machine learning community specifically in ways that impact for societal and humanitarian good.
Claire is currently a lecturer and Administrative Officer at UTAMU in charge of Elearning. Her background is in computer science specializing in Artificial Intelligence and Network Security. She carries a great enthusiasm for data science and machine learning with a zeal of harnessing the potential of AI in improving service delivery. She is also part of the Artificial Intelligence and Data Science Research Lab Makerere University as a mentor and a research assistant.
Jeremy is a software engineer by profession with a passion for machine Learning. He works as a Research Assistant at the AI Research Lab where he develops software solutions to address challenges faced by the health and agricultural community.
Benjamin Bimanywaruhanga is an AI enthusiast , practitioner and researcher. He serves as the lead at feyti analytics a company that uses AI to solve problems in Africa. He is passionate about Generative adversarial Networks, natural language processing and computer vision. He is also a pharmacist at Mulago hospital. He has passion for health care technology.
Mr. Lukyamuzi Andrew is a Lecturer at Busitema University. He has been involved in developing IT based strategies to enhance teaching and learning in high educational institutions. Currently is a PhD student at Mbarara University. He is researching on tracking food scarcity using data science from web datasets such as news articles, facebook conversations and tweets. His PhD research has sofar generated one publication along this line.
Silver Springs Hotel
Plot 76A/D, Portbell Road
In Uganda there are quite few researchers working on different aspects of artificial intelligence from machine learning, algorithms, logic-based and scientific computing perspectives. INDABAXUG is intended to bring together researchers, industry and academia interested in these areas of AI.
The central theme of INDABAXUG is combinations of, and synergies between, machine learning and symbolic AI. The workshops will focus on recent trends, aiming at finding common ground and interests that point forward to the coming years.
The outcome of the workshops will ideally be to identify where the field as a whole is heading and to pinpoint how we can use the competences in Uganda to exploit the potential synergies and stay at the front in research, teaching and industrial collaboration.
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