Katende Ronald
- Faculty of Science
- Department of Mathematics
- rkatende@kab.ac.ug
- Ph. D. Math (Machine Learning) MSc. Math (Computational, Finance) BSc. Physical (Math, Stat)
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Ronald Katende is an Assistant Lecturer in the Department of Mathematics, Faculty of Science, Kabale University. He holds a PhD in Mathematics (Scientific Computing and Machine Learning).
His research is organised around three closely connected directions. First are the foundations of learning and inference under non-ideal conditions, including data scarcity, long-range dependence, heavy-tailed variability, and structural constraints. Second is the study of data-efficient and uncertainty-aware knowledge systems that prioritise robustness, interpretability, and provable behaviour over purely predictive performance. Finally, Ronald also applies these principles in fragile, high-impact systems, such as climate resilience, energy infrastructure, and public-health decision support, where reliable local action must be derived from limited and noisy data.
His broader interests include numerical analysis, stochastic modelling, operator-theoretic methods, and the mathematical foundations of learning in complex systems.
Qualifications
Ph. D. Math (Machine Learning)
MSc. Math (Computational, Finance)
BSc. Physical (Math, Stat)
Research Interests
- Foundations of Learning and Inference under Non-Ideal Conditions
- Data-Efficient and Uncertainty-Aware Knowledge Systems
- Applied Instantiation in Fragile, High-Impact Systems