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Dr Rachael Ndung’u

Dr Rachael Ndung’u

Lecturer: School of Computing & Information Technology
rndungu@mut.ac.ke

Google Scholar: https://scholar.google.com/citations?user=z1ShX1MAAAAJ&hl=en

Research Gate : https://www.researchgate.net/

ORCID: ORCID: 0000-0001-9318-7043

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Biography

Dr. Rachael Ndung’u holds a PhD in Information Technology, specializing in machine learning, as well as an MSc in Information Systems and a BSc in IT (First Class Honors). She is an accomplished academic and researcher with extensive experience in artificial intelligence, data analytics, and business intelligence. Dr. Ndung’u has a keen interest in AI-driven projects, focusing on machine learning applications, business intelligence systems, and leveraging analytics for market access, especially in the agricultural sector. She currently serves as Chair of the Department of IT and is involved in various research and consultancy projects, including AI-driven market discovery, IoT solutions for agriculture, and augmented reality in agroecology training.

Education

  • 2021: Ph.D. Information Technology : Murang’a University of Technology
  • 2015: Master in Information Systems: Kisii University
  • 2005: B.Sc. Information Technology : JKUAT

Publications

  1. Muia, C. M., Oirere, A. M., & Ndungu, R. N. (2024). A Comparative Study of Transformer-based Models
    for Text Summarization of News Articles.
  2. MK Murithi, AM Oirere, RN Ndung’u (2024). A Systematic Review of the Sentiment Analysis Models
    Used in Handling Polarity Shift, International Journal of Computing Sciences Research 8, 2635-2676
  3. Ndung’u R. N., (2022). Blockchain as a Solution of Information Security and Data Privacy Issues: Review.International Journal of Computer Applications Technology and Research. 11(08) 337-340, 2022, ISSN: -2319–8656. https://www.doi.org/10.7753/IJCATR1108.1007
  4. Ndung’u, R.N., (2022). Data Preparation for Machine Learning Modelling. International Journal of
    Computer Applications Technology and Research. 11(6), 231-235, 2022, ISSN: -2319–8656.
    https://www.doi.org/10.7753/IJCATR1106.1008
  5. Ndung’u, R.N., Wambugu Geoffrey Mariga, Kamau Gabriel Ndung’u.
    Developing Hybrid-Based Recommender System with Naïve Bayes Optimization to Increase Prediction
    Efficiency. International Journal of Computer and Information Technology (ISSN: 2279 – 0764), Volume 10 – Issue 2, March 2021
  6. Ndung’u, Rachael Njeri, Kamau Gabriel Ndung’u Wambugu, Geoffrey Mariga. Using feature selection
    methods to discover common users’ preferences for online recommender systems. International Journal of Computer and Information Technology (ISSN: 2279 – 0764), Volume 10 – Issue 1, January 2021
  7. Ndung’u, Rachael Njeri, Florence K. Maweu, Joyce M. Mwenja, 2017. An eReadiness assessment of ICT
    Integration in Public Primary Schools in Kenya Case of Nyeri County. International Journal of Computer
    Applications Technology and Research, Vol.6, issue 06, 2017. ISSN: 2319-8656 (Online).