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Dr. Thulane Paepae
Lecturer
Dr Paepae’s research focuses on developing and applying intelligent (or AI-based) systems for cost-effective real-time monitoring, asset health diagnosis, demand forecasting, predictive maintenance, and anomaly detection
Last reviewed: 2026/07/15
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Dr Paepae’s research focuses on developing and applying intelligent (or AI-based) systems for cost-effective real-time monitoring, asset health diagnosis, demand forecasting, predictive maintenance, and anomaly detection. His application areas of interest include ambient water quality, drinking water plants, wastewater treatment plants, and industrial plants such as coal-fired power stations. Google Scholar ORCID