The International Institute for Infrastructural, Hydraulic and Environmental Engineering (IHE-Delft) is a world-leading education and research institute running Master of Engineering and Master of Science programmes.
The Hydroinformatics section of IHE-Delft (part of the department of Hydroinformatics and knowledge management) is running the Masters Programme in Hydroinformatics, organizes short courses and is also involved in various research activities related to
modelling and information systems for water management.
Our experiences
Some of the research projects we were and are involved in are listed below:
- EU TELEFLEUR: Telematics assisted handling of flood emergencies in urban areas
- EU ELTRAMOS: Electronic trading of modelling services and assets for engineering
- SMEs and institutes
- EU ETNET 21 Environment-Water - European Thematic Network of Education and
- Training for Environment-Water
- EU OSIRIS - Operational Solutions for the Management of Inundation Risks in the
- Information Society
- Application of neural netwroks and fuzzy logic for water management
- Data mining, knowledge discovery and data-driven modelling, with applications in
- civil engineering
- Artificial neural network modelling of sedimentation processes in Rotterdam harbour
- Use of artificial neural network classifiers for identification of soil types based on
- cone penetration tests
- Artificial neural networks in daily forecasting of river discharges
- Chaos theory and neural networks in predicting surge water levels in the North Sea for
- navigation
- Using evolutionary and other approaches in optimization of water resources and
- model calibration
- Text mining for document management
- Knowledge mapping in educational and engineering organizations
- Hydroinformatics section is active in presenting the research results at conferences and
- publishing in peer-reviewed journals.
Potential areas of future research
We would be interested in finding partners that are close to real-life problems in order to perform joint applied research the following areas:
- Research into and development of appropriate data mining (machine learning, soft computing, data-driven modelling) methods and tools, and their application in waterrelated problems. It is assumed that following technologies will be investigated, further developed and applied: artificial neural networks, fuzzy rule-ased systems, model trees, Bayesian and other classification methods, etc. The extensive experience that IHE gained in applying these methods in hydrological and hydraulic engineering problems makes it possible to be sure of their useful applications also in a wide range of problems, including flood management, coastal, urban groundwater, etc. The developed methods and technologies could be integrated into a Web-based suite of data mining component, with the corresponding manuals and the 'best-practices' database.
- Application of various global optimization techniques (genetic and evolutionary, adaptive search and others) in solving practical water-related optimization problems.
- Application of mathematical modelling tools, including commercial ones like HydroWorks, Mike11 and 21, Sobek, Delft 3D, MikeShe, MODLFOW, etc. in modelling rivers, river basins, coastal and groundwater resources with the purpose of better management.
- Hydroinformatics section has experience in all three areas, so that the experiences and techniques could be applied complementary to each other. Staff members were also involved in a number of practical civil engineering projects where such tools were applied in combination with other computer-based technologies, like information and knowledge systems, interactive Web portals and GIS.
It should be mentioned that our special interest currently is in the flood management and modelling, both in urban and rural environments.
The involvement of IHE-Delft could be in various forms, including staff members, Master and PhD students and/or post-doctoral positions. We are seeking participation in various research funding programmes, such as European Union 6th Framework and other multilateral international research initiatives.
We are open to various forms of cooperation in research. In case of questions and/or suggestions please contact
Dr. Dimitri Solomatine at sol@ihe.nl
More information on Hydroinformatics:
MAIN RESEARCH LINES
- Foundations and societal aspects of hydroinformatics (R.K. Price, M.B. Abbott)
- Simulation modelling (M.B. Abbott, R.K. Price)
- Data mining, knowledge discovery and data-driven modelling (R.K. Price, D.P. Solomatine, A.J. Abebe, D.L. Shrestha)
- Optimization and control (D.P. Solomatine, A.H. Lobbrecht)
- Uncertainty and risk in water resources (R.K. Price, D.P. Solomatine, S. Maskey, A.J. Abebe, D.L. Shrestha)
- Internet-based computing and collaborative decision making (M.B. Abbott, D.P. Solomatine, S. Velickov, A. Jonoski)
- Knowledge management (R.K. Price, D.P. Solomatine, S. Velickov, A.E. Mynett)
- Distance learning (R.K. Price)
List of main publications since 1998
More recent details on research topics, software, published papers, etc. you can find on the individual pages of staff members directly accessible from
Hydroinformatics staff pages
More information concerning research can be found here:
List of the recent research projects
List of the MSc topics
Also see our links to other resources.
