David Ndumiyana

  • BSc Maths and Computer Science (CUBA),
  • MSc Computer Science (UZ)

Research Interests – E-learning, mobile learning, artificial intelligence and expert system


  1. Ndumiyana, D.,Sakala, L.C. (2013). Hidden Markov Models and Artificial Neural networks for spam detection. International Journal of Engineering Research and Technology.2(4),2069-2084
  2. Ndumiyana, D., Magomelo, M., Sakala, L. (2013). Spam detection using a neural network classier. Journal of Physical and Environmental Research, 2(2), 28-37.
  3. Ndumiyana, D., Gotora, R., Mupamombe, T. (2013). Spam detection using adaptive neural networks: Adaptive resonance theory. Journal of Physical and
  4. Ndumiyana, D., Gotora, R., Chikwiriro, H. (2013). Data mining techniques in intrusion detection: Tightening network security. International Journal of Engineering Research and Technology, 2(5), 2237-2248