Prof. Muthoni Masinde
Prof. Masinde

NRF RATING
C
DESIGNATION
Professor Information Technology
Acting Dean
QUALIFICATIONS
MBA (UFS)
PhD, Computer Science (UCT)
M.Sc., Computer Science (VUB)
B.Sc. , Computer Science (UoN)
PORTFOLIO
Prof. Masinde made notable strides in Machine Learning and Internet of Things, incorporating Indigenous Knowledge in solutions for small-scale farmers. Key developments in 2022 include ML-CROP for optimising crop production, NLP for IsiZulu translation, and a predictive model for Malaria in Vhembe district using climate data and IK.
As the General Chair of the EAI AFRICATEK 2022 Conference, Masinde set the theme around 4IR (Fourth Industrial Revolution). She also led the successful second year of the Integrated Climate-driven Multi-Hazard Early Warning System (ICMHEWS) externally funded (by GoF) collaborative (with SAWS and UKZN) project. She authored/co-authored four articles, one book chapter, and two conference papers. Additionally, she delivered three keynote speeches, including one at the UNESCO Southern Africa sub-Regional Forum on AI (artificial intelligence).
AREAS OF EXPERTISE
Machine learning
Internet of Things
Climate change
Drought prediction
Small-scale farmers
PUBLICATIONS
  • Phoobane, P, Masinde, M & Mabhaudhi, T. 2022. Predicting Infectious Diseases: A Bibliometric Review on Africa. International Journal of Environmental Research and Public Health, 19(3), p.1893.
  • Masinde, M & Atlhopheng, JR. 2022. Are Africans adapting well to climate change? In:  Moseley, WG & Otiso, KM (eds.). 2022. Debating African Issues: Conversations Under the Palaver Tree (1st ed.). Routledge.
  • Masinde, M, Phoobane, P & Brown, J. 2022. Mkulima Platform: An Inclusive Business Platform Ecosystem that Integrates African Small-Scale Farmers into Agricultural Value Chain. In: Sheikh, YH, Rai, IA & Bakar, AD, (eds). e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-031-06374-9_26
  • Nyetanyane, J & Masinde, M., 2022. Development of English-isiZulu Language Translator to Bridge Language Barrier Between EWS and Bantu Language Speaking Farmers. Case of Swayimane, KwazuluNatal, South Africa. In 2022 IST-Africa Conference (IST-Africa) (pp. 1-11). IEEE.
  • Adeola, OM, Masinde, M, Botai, JO, Adeola, AM & Botai, CM. An Analysis of Precipitation Extreme Events Based on the SPI and EDI Values in the Free State Province, South Africa. Water 2021, 13, 3058. https://doi.org/10.3390/w13213058
EXTERNAL PROFILES
ORCID
Google Scholar
Scopus
LinkedIn

Contact Us
  • Prof. Masinde
  • Tel: +27(0)57 910 3091
  • masinde.muthoni@cut.ac.za