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Researcher
Guido Vaes
- Disciplines:Other civil and building engineering, Building engineering, Construction engineering, Structural engineering
Affiliations
- Materials and Constructions (Division)
Member
From1 Aug 2020 → 31 Jul 2020 - Hydraulics and Geotechnics (Division)
Member
From1 Aug 2020 → 31 Dec 2004 - Construction Technology, De Nayer (Sint-Katelijne-Waver) Campus (Technology cluster)
Member
From1 Oct 2013 → 31 Jul 2020 - Hydraulics Section (Division)
Member
From1 Sep 2004 → 31 Dec 2004 - Department of Civil Engineering (Department)
Member
From1 Oct 1999 → 31 Aug 2004
Publications
1 - 10 of 11
- Impacts of climate and land use changes on flood risk management for the Schijn River, Belgium(2018)
Authors: Tahmina Akter, Philippe Quevauviller, Steven Eisenreich, Guido Vaes
Pages: 163 - 175 - Integration of scientific and technological progress into practical uses in water resources management(2013)
Authors: Patrick Willems, Guido Vaes
Pages: 23 - 27 - Global Challenges and the European Paradigm(2011)
Authors: Guido Vaes
Pages: 27 - 85 - Transfer of Integrated Water Resources Management Principles to Non-European Union Transboundary River Basins(2011)
Authors: Guido Vaes
Pages: 61 - 67Number of pages: 7 - Science-policy interfacing in support of the Water Framework Directive implementation(2009)
Authors: Guido Vaes, Patrick Willems
Pages: 47 - 54 - WISE-RTD – A Portal for Science & Technology Transfer to Policy Making & Implementation in Integrated Water Resources Management(2009)
Authors: Patrick Willems, Thomas Vansteenkiste, Guido Vaes
Pages: 310 - 332 - Bi-directional sewer-river linking through the OpenMI software(2008)
Authors: Patrick Willems, Guido Vaes
Pages: 10 - Tweezijdige modelkoppeling met OpenMI(2008)
Authors: Patrick Willems, Guido Vaes
Pages: 45 - 54 - Samenbrengen van onderzoek en beleid in de ondersteuning van de implementatie van de Europese Kaderrichtlijn Water(2008)
Authors: Guido Vaes, Patrick Willems
Pages: 11 - 19 - A microservice architecture for leak localization in water distribution networks using hybrid AI
Authors: Pieter Jan Haest, Guido Vaes
Pages: 851 - 866