Emmanuel Okwori

About me

Emmanuel Okwori's research centers on the asset management and maintenance of civil infrastructure, with a particular focus on water and wastewater networks. His work is driven by an interest in developing, applying, and advancing data-driven methodologies that support strategic, tactical, and operational decision-making within infrastructure management.

His areas of expertise include:

• Predictive analytics for forecasting infrastructure deterioration and failure risks
• Integration of non-destructive testing techniques (eg, vibration and acoustic methods) for condition assessment
• Development of digital decision-support tools to improve maintenance planning
• Application of machine learning and statistical models to inform reinvestment strategies

Emmanuel holds a Ph.D. in Urban Water Engineering from Luleå University of Technology (LTU), where his research focused on advanced analytics to support decision-making in the management of sewer networks. His academic contributions cover topics such as data integration in asset management, performance assessment of sewer systems, and the development of model-based decision-support frameworks.

He is dedicated to bridging the gap between research and practice by promoting sustainable, resilient, and cost-efficient infrastructure systems.

Current projects

• VA-NET: Vibration based assessment of pipe networks (2024-2027)
• Acoustic and vibration methods for condition assessment of sewer networks - Smart sewers (2024-2026)