Technical University of Denmark
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Raphaël Emile Gilbert Mounet

0000-0001-8770-2061

Postdoc (Engineering; Maritime engineering; Naval architecture; Ocean engineering; Ship and platform structures (incl. maritime hydrodynamics); Special vehicles)

Denmark

Raphaël E. G. Mounet is a postdoctoral researcher at the Technical University of Denmark (DTU), specifically in the Department of Civil and Mechanical Engineering. His primary research area revolves around the estimation and prediction of ocean waves, with a particular focus on developing technologies that integrate data from various observation platforms. These platforms include on-site measurements of ship motions, which are considered as sailing wave buoys. Raphaël holds a double doctorate degree (PhD) from DTU and the Norwegian University of Science and Technology (NTNU). Additionally, he earned an engineering degree from the École Centrale de Lyon (ECL, France). His expertise spans ocean engineering, data analysis, wave interaction with structures, ship motion dynamics, signal processing, and machine learning.

Publications

  • Tuning of transfer functions for analysis of wave-ship interactions
  • A Computationally Efficient Procedure for Tuning of Ship Transfer Functions
  • Parameterised transfer functions with associated confidence bands
  • Simultaneous sea state estimation and transfer function tuning using a network of dynamically positioned ships
  • Deriving spatial wave data from a network of buoys and ships
  • Estimating waves via measured ship responses
  • Doppler Shift Approximation for Predicting the Wave-Induced Response of Advancing Vessels in Following Waves
  • Sea State Estimation Based on Measurements from Multiple Observation Platforms
  • Data-driven method for hydrodynamic model estimation applied to an unmanned surface vehicle
  • Comparing machine learning-based sea state estimates by the wave buoy analogy
  • Uncertainty-associated directional wave spectrum estimation from wave-induced ship responses using Machine Learning methods
  • An Application of the Extended Maximum Entropy Principle for the Spectral Analysis of Ship Motions
  • A parameter estimation method for the seakeeping models of surface vehicles
  • Phase-resolved Estimation of Ship Transfer Functions Using Response Measurements
  • Sea State Estimation from Wave-Induced Ship Responses using Machine Learning

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