About Joost den Bieman

Joost P. den Bieman has a background in Civil and Coastal Engineering with a MSc. degree from Delft University of Technology. Since 2012 Joost is active in various research projects for a wide array of both governmental and private clients, predominantly in the fields of Machine Learning, Coastal Structures and Flood Defenses. He has a wide experience in leading projects and coordinating research programs.

His main activities take place on the interface of Machine Learning techniques, physical model facilities, and numerical models. He has used data driven techniques to develop a non-intrusive video-based measurement technique and a very accurate wave overtopping prediction model, amongst others. Additionally, his work on numerical models includes validation of the CFD package OpenFOAM for coastal structure applications using data from the Deltares physical model facilities.

Furthermore, he is heavily involved in several aspects of the development of safety assessment tools for Flood Defenses for the Dutch national government. Within this context, he has ample experience with hydraulic boundary conditions for both design and safety assessment. This includes preparing the numerical model XBeach for use in the Dutch dune safety assessment methodology and the use of probabilistic software for the determination of boundary conditions (Riskeer, Hydra-Ring, Hydra-NL), also run on computational clusters and cloud facilities (Amazon EC2 and Linux cluster).

An up-to-date list of publications Joost is involved in can be found via: https://orcid.org/0000-0003-3063-623X

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