Summary of Qualification - Data Science & Tech. Support:

  • Experience in Business Intelligence (Data Science) and Systems Integration.
  • Data Processing / Mining / Analysis Tools.
  • Strong Hands-on approach in Programming on different Platforms.
  • Familiar with Linux and Windows environments.
  • Experience in Computer Desktop Support Level 1, 2, 3 (Infrastructure) and Management.
  • Teaching Computer Science at a Tertiary Level.
  • Excellence in Multi-cultural Communication and Organization.
  • ...

Publications - Refereed International Conferences:

  1. Hirwa, J.S., Rugwiro, U., Stammers, M., Gu, C.H. (2016) "Cloud-based Clusters: Multivariate Optimization Techniques for Resource Performance Prediction". The 15th International Symposium on Parallel and Distributed Computing (ISPDC 2016), IEEE, Page(s) 165-171.
  2. Hirwa, J.S., Cao, J. (2014) "An Ensemble Multivariate Model for Resource Performance Prediction in the Cloud". The 11th IFIP International Conference on Network and Parallel Computing (NPC 2014), LNCS (Springer) 8707, Page(s) 333-346.
  3. ...

Research Work Interests:

  • Big Data Mining and Analysis
  • Process Mining
  • Unstructured Data
  • Semantic Web and Linked Data
  • Autonomic Computing
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