Bio:
Dr. Godliver Owomugisha is a Senior Lecturer and researcher at Busitema University in the Faculty of Engineering. She received her PhD in Computational Intelligence & Modeling of Crop Disease Data in Africa from the University of Groningen in 2020, an achievement that also earned her the Best PhD Thesis Award from the University of Groningen Engineering Center. This recognition was bestowed upon her due to the high scientific impact of her papers, the strong interdisciplinary engineering focus and the societal/environmental impact with the aim of helping farmers to protect crops from disease and African regions to secure food production. Dr. Owomugisha has been working with multidisciplinary collaborative research groups and currently leads Busitema University Artificial Intelligence & Interdisciplinary Research (BUAIIR) Group. BUAIIR was founded on April 20, 2021, with a clear mission to spearhead interdisciplinary research leveraging AI algorithms to address various everyday human challenges.

Bio:
Head of Office, Uganda / Data Science Officer UN GLOBAL PULSE

Bio:
Ernest Mwebaze has had a dual career in academia and in industry. He possesses over 10 years of teach- ing experience in computer science and machine learning. While at Makerere University he co-found- ed the Makerere University Artificial Intelligence research lab leading it to prominence in the field of practical implementation and deployment of artificial intelligence solutions.
In industry he has worked at the Google AI research lab in Ghana and the UN Pulse lab in Kampala where he focused on practical applications of artificial intelligence to tackle developmental challenges in agriculture, utility estimation and different focus areas of the SDGs. He is passionate about using artificial intelligence to improve society particularly in developing parts of the world. He is currently the executive director of Sunbird AI.

Bio:
Rose Nakasi is a Lecturer at Busitema University, a PhD student at Makerere University as well as a Researcher at Makerere AI Lab. My research interests are in Artificial Intelligence and Data Science and particularly in the use of these for developing improved automated tools and techniques for improved health. I have majorly worked on automated microscopy diagnosis and prediction of Malaria in low resourced but highly endemic settings.

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Samuel OCEN is a seasoned academician and researcher with expertise in Data Science, Machine Learning, and Artificial Intelligence. Currently pursuing his PhD at the University of Nairobi, he also serves as a lecturer in the Computer Science department at Mountains of the Moon University. His research focuses on: Data-driven approaches to tracing livestock from farm to fork, leveraging technologies such as IoT, RFID, and machine learning algorithms to enhance food safety and security (www.u-lits.com). Developing optimized machine learning models for detecting Alzheimer's Disease from Brain MRI scans. Applying data analytics and machine learning techniques to manage loan amortization, predicting credit risk, and optimizing lending portfolios (www.smartsente.com) Amongst other assorted models running in applications of Rideshare Uganda, agriplanner, amongst others.
With a passion for harnessing the power of data to drive insights and innovation, Samuel aims to contribute significantly to the fields of precision agriculture, healthcare, and financial technology.

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Benjamin Rukundo is a software engineer and research assistant at the AI Health Lab at Makerere University, working on AI-driven healthcare projects under the supervision of Dr. Rose Nakasi. With a Bachelor's Degree in Software Engineering, Benjamin specializes in computer vision and machine learning, particularly in the areas of disease diagnosis and surveillance.
His interests span a wide range of AI and data science domains, including foundation models, vision transformers, and visual attention. Benjamin is dedicated to leveraging AI to address real-world problems and is passionate about sharing his knowledge and experiences with others.

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Hellen Namulinda is a researcher at the Makerere AI Lab, currently pursuing her MSc in Computer Science with a focus on AI and Data Science. Her research interests include explainable AI (XAI), ensuring the transparency and interpretability of ML models. Her work involves developing interpretable machine learning models for biomedical applications, with a strong interest in applying AI in drug discovery.

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Micheal is an Electrical Engineer and he is really passionate about AI.

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Joel Tibabwetiza Muhanguzi is an embedded systems engineer with Sunbird AI building low cost TinyML based Acoustic Environmental Sensors. I have recently completed a Masters in Computer Science where my research has been on developing and quantizing models to run efficiently on constrained systems.

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Mubaraka is a Machine Learning Engineer and Research Assistant at Makerere AI Research Lab, focusing on natural language processing and AI solutions for African languages