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Past-Events RAIN-Africa Workshop: Responsible AI Applications in Africa

Date: 07/04/2022

Time: 1:00 PM CEST

Registration: Here

RAIN-Africa brings to us it’s first workshop for the year 2022 on the theme “Responsible AI Applications in Africa”. There will be interesting and insightful presentations from our panelists as they share their current research works on the application of AI and Machine Learning in the African context. The event is slated for 7th April, 2022, 11:00AM GMT(1:00PM CEST).

Dr. Rose Nikibuule

Dr. Rose Nikibuule is an assistant lecturer in the department of computer Science, Makerere University, Uganda. She is a dedicated and capable researcher specializing in the field of Artificial Intelligence and data science specifically, Machine learning and Computer Vision. She focuses on the application of Image processing, Computer vision and Machine learning techniques to solve real world problems, with a focus to the developing world. As part of her research, she has developed artificial intelligence models to analyze and monitor road traffic flows in developing world context using computer vision. The results of this work have been published in highly relevant peer-reviewed conferences and are highly cited as a key foundational work for understanding traffic flow behavior and monitoring in the developing world.
Her research interests are computer vision, Machine learning, Image Processing, Data Science, Artificial Intelligence, Algorithms, Systems analysis and design, Modeling and simulation.

Dr. Sadouanouan MALO

Dr. Sadouanouan MALO earned the PhD in National School of Mechanics and Aeronautics of Poitiers(France) in computer science. Throughout the recent years, he devotes his time  working on IoT, AI, ML and Semantic Web technologies and their use in the field of health, epidemiology surveillance, security and optimal energy management. Before that, he has several years pasted working on Real-time applications. Dr Malo was the deputy director at theComputer Science Higher School (ESI) of Nazi BONI University (Bobo-Dioulasso, Burkina Faso) and is currently the coordinator of the Master in Data Sciences and the lead of the Data Intelligibility research team respectively at  ESI and at the Laboratory of Algebra, Discrete Mathematics and Computer Science (LAMDI). He was an integral member of the WAZIUP7 project funded by the European Union (H2020), the project “une plateforme de simulation à base d’agents pour la sensibilisation dans le cadre du contrôle et de la prévention de la propagation d’une épidémie : cas de la méningite au Burkina Faso” funded by CEA-MITIC and the project “Management and Access of Biomedical knowledge through Ontology network (MABO)” funded by CEA-MITI.

Ing. Dr. Henry Nunoo-Mensah

Ing. Dr. Henry Nunoo-Mensah is a Professional Engineer and Lecturer in the Department of Computer Engineering, KNUST-Ghana. He is the Programmes Coordinator for the IDRC-GIZ-funded Responsible AI Lab at KNUST. Dr. Nunoo-Mensah is also the MSc Programmes Coordinator for the KNUST Engineering Education Project (KEEP), a World Bank-sponsored African Centre of Excellence for developmental impact. He is the Projects Coordinator for Connected Devices (CoDe) Lab at the Department of Computer Engineering, KNUST, and a Research Fellow at the Brew Hammond Energy Centre (TBHEC).
Dr. Nunoo-Mensah had his BSc, MPhil, and PhD in Computer Engineering, all from the Kwame Nkrumah University of Science and Technology (KNUST). He is interested in research covering wireless sensor networks, intelligent agents (AI4D), blockchain, and the internet of things. His research outputs are published in numerous reputable journals and conferences. Dr. Nunoo-Mensah has provided consultancy services to several local and international organisations. In addition, he teaches and supervises students at both the undergraduate and postgraduate levels.