Xin Tian - KWR

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• Experts
• Expert

• 030-6069689
• Xin.tian@kwrwater.nl
• 06-15184269

Xin Tian is a researcher in the Hydroinformatics team at KWR. His research interests and expertise are centred on hydroinformatics, especially on optimisation and data science to address a wide range of problems concerning water resources management and planning. His doctoral work at TU Delft proposed a novel optimisation-based methodology, namely Model Predictive Control, to investigate real-time operations of the Dutch water system. Before joining KWR, he was a researcher working on several urban water projects in the Netherlands, Singapore, and China, focusing on machine/deep learning and decision-making flexibility. These methodologies were improved and applied to help cities better predict and counteract challenges from climate change, population growth, etc. Furthermore, he has excellent programming skills in both Matlab and Python.

Related

Projects

• Methods for decision-making under deep uncertainty

  Progressing climate change, technological developments and population growth put our society and also the water sector in a situation of deep uncertainty. Deep uncertainty is a technical term for the unpredictability of…

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News

• Blog

  The future is brAIt – impressions from World Summit AI and opportunities for the water sector

  18 October 2022 — It is in October that 2500 AI enthusiasts and specialists, academic but in particular also business-oriented, meet at…

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• News

  Award for KWR presentation on the use of machine learning to classify microplastics

  18 July 2022 — KWR has developed a new approach to the challenge of identifying microplastics. The presentation of the approach by…

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• News

  The new HydroMonitor: even better view of groundwater dynamics

  13 May 2022 — KWR’s HydroMonitor helps hydrologists in a user-friendly manner to clarify the groundwater level situation.

  Read more about The new HydroMonitor: even better view of groundwater dynamics