News, Upcoming-Events Generative AI in Learning Contexts: Opportunities and Responsible Practices
Generative AI in Learning Contexts: Opportunities and Responsible Practices
Date: 05/09/2024
Time: 11:00 AM GMT (02:00 NAIROBI)
Registration: Register Here
Below are the biographies of the speakers.
Dr. Lawrence Nderu
Dr. Lawrence Nderu is the Chairman of the Department of Computing at Jomo Kenyatta University of Agriculture and Technology (JKUAT), where he also serves as a lecturer and researcher. He founded JHUB Africa, an innovation hub based at JKUAT, and the co-founder of gDIH in Konza City, Nairobi.
Dr. Nderu holds a Ph.D. in Computer Science from the University of Paris VIII, France, as well as a Master’s degree in Software Engineering and a Bachelor’s degree in Mathematics and Computer Science from JKUAT. His research interests encompass Artificial Intelligence, Machine Learning, Data Science, and Software Engineering. He has authored numerous papers in peer-reviewed journals and presented his research at international conferences.
Dr. Moses M. Thiga
Dr Moses M Thiga is a senior lecturer, in Information Technology at Kabarak University. He is an active researcher with ongoing projects on federated learning and the explainability of machine learning models in healthcare. His research interests have in the recent past also included works on the role of generative AI in academic publishing and the development of critical thinking. He is also an innovator with solutions such as Mama’s Hub, a digitized Ante Natal Care booklet and EVIS, an online voting system.
Dr Moses M Thiga also serves as the Director of Research, Innovation and Outreach at Kabarak University. In this capacity, he runs a data innovation and entrepreneurship program at the University. The program seeks to impart entrepreneurship knowledge and skills to youth who possess skills in data science and artificial intelligence.
Doreen Nkirote (PhD Candidate)
Doreen Nkirote Bundi has been rapidly establishing herself as a topliner in the Kenyan IT space. For 10+ years, she has consistently resolved intricate business issues through machine learning, artificial intelligence (AI), data analytics and software development.
Doreen is especially known for leveraging leading-edge AI techniques to revitalise business processes, drive revenue growth and enhance the customer experience. Her accomplishments span from designing an IT system and playing a key role in the review of a government agency’s ICT strategy – developing next-generation AI solutions – to developing security software that employs AI and machine learning principles.
She is the current CEO of SDPRO Technologies Ltd where her key contributions have centered on increasing business success with technology (software development, data analysis, and IT infrastructure).
Mr. Wayne Egesa
Mr. Wayne Egesa is an AI Engineer at AICE, specializing in generative AI. With a background in computer science from Daystar University and certifications in AI/ML and large language models, he develops innovative AI solutions across sectors like Education, Healthcare, and Finance. Passionate about leveraging AI for Africa’s growth, Wayne excels in working with LLMs and AI Agents, driving technological advancements to foster development in the region. His mission is to develop groundbreaking AI solutions for Africa and to empower young African tech enthusiasts with AI skills and knowledge to address challenges unique to the continent.
Dr. Beth Kiratu
Dr. Beth Kiratu is the Acting Academic Program Lead in the Department of Data Science at the Open University of Kenya. She holds a Doctorate in Pure Mathematics from the University of Nairobi, Kenya, with a dissertation titled “On Weyl’s Spectrum for Some Classes of Operators in Hilbert Spaces.” With over 12 years of teaching experience at the university level, Dr. Kiratu is a dedicated mathematics lecturer. Her passion for mathematics education has driven her involvement in curriculum development at both undergraduate and master’s levels.
Dr. Kiratu is a strong advocate for teaching mathematics in a virtual learning environment, which led to her involvement with the African STACK leadership team. This team oversees the implementation of the System for Teaching and Assessment using a Computer Kernel (STACK), a Moodle-based tool that facilitates the virtual teaching and assessment of STEM courses.
Believing firmly in the power of collaborative research, Dr. Kiratu holds leadership positions in two professional mathematical bodies in the region: the Kenyan Mathematical Society (KMS) and the Kenyan Women in Mathematical Society Association (KWIMSA).
Recognizing the impact of digital technology advancements on academia, Dr. Kiratu emphasizes the need for consultations on leveraging artificial intelligence in teaching and learning.
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