Fourth Meeting of the DS-I Africa Consortium
16 - 22 November 2024
The Ravenala Attitude Hotel, Mauritius

Dr Kayode Adetunji - Participant

Multimorbidity in Africa: Digital innovation, visualisation and application (Post Doc)

Kayode Adetunji obtained his Master's degree in Electrical Engineering in 2018 from the University of Johannesburg, South Africa, and went on to receive his PhD in 2022 from the School of Electrical and Information Engineering at the University of the Witwatersrand. He focused on enhancing power systems networks by incorporating renewable energy sources, battery systems, and electric vehicles during his studies. To achieve this, he utilized optimization algorithms and machine learning techniques, resulting in several publications in high-impact journals. He has also developed monitoring systems for health- and agriculture-related fields. Kayode worked in the Fast-moving consumer goods industry, repairing electrical drives and microcontrollers of electric forklifts before joining the Department of Electrical Engineering Technology at the University of Johannesburg. He is currently with the MADIVA team at Sydney Brenner Institute for Molecular Bioscience, and his current research interests include intuitive machine learning models, optimization algorithms, decision theory & preference aggregation, multi-objective optimization, intuitive machine learning models, and health-energy nexus.