innovation centre ● Prof. Dr. Niels Schütze
Hydrosystem modelling and management
MANAGEMENT
Prof. Dr. rer. nat. habil. Niels Schütze
Dresden University of Technology
Institute of Hydrology and Meteorology
Chair of Hydrology
New Chemical Institute Building, Room 368
Bergstr. 66
01069 Dresden
| Telephone | +49 351 463-36380 |
| niels.schuetze@tu-dresden.de |
Short vita
Career and professional milestones:
- Since 2022 Chief Officer for Digitalisation and Information Management (CDIO) in the Construction and Environment Division at TU Dresden
- Since 2019 Spokesperson for the Department of Hydrological Sciences, TU Dresden
- Since 2014 Professor (W3) and Head of the Institute of Hydrology and Meteorology, TU Dresden
- 2013-2014 Acting Professor of Hydrology, TU Dresden
- 2013 Habilitation and venia legendi in hydrology
- 2007–2013 Research assistant and head of the junior research group ‘SAPHIR – Saxonian Platform for High Performance IRrigation’ at TU Dresden
- 2006–2007 Postdoc as a scholarship holder of the Minerva Foundation of the Max Planck Society at Technion Haifa (Israel)
- 1999-2006 Doctoral studies (Dr. rer. nat.) at the Chair of Hydrology at TU Dresden
- 1990-1995 Studied computer science, graduating with a degree in computer science from TU Dresden
Research and development
- Development and refinement of process and simulation models for mapping hydrological systems
- Use of simulation-based optimisation methods for resource-efficient management and sustainable use of water bodies
- Improvement of model quality through innovative methods for parameter identification and data integration
- Combination of classic hydrological methods with modern AI-supported tools for the prediction and control of water management systems
- Practice-oriented work to increase the efficiency of irrigation and hydromelioration processes
Expertise
- Model-based analysis and mapping of flow processes such as surface runoff and soil water movement, particularly in the context of irrigation systems (surface and drip irrigation)
- Hydrological modelling and application in practical water management scenarios
- Methods for feeding measured data back into process models (inverse modelling)
- Use of innovative soft computing approaches – e.g. neural networks or evolutionary algorithms – to solve complex hydrological problems
Reference projects
- Evaluation of the LMBV's mining remediation under mining and water law, taking into account the phase-out of coal and climate change in Saxony and Brandenburg
- Scientific investigations into the possibilities and limitations of water-saving irrigation in fruit growing in the Werder (Havel) region
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