Development and implementation of a combo probe that utilized Neural Networks based approach to support in-situ calibration of the ho-wire anemometers based on the low-pass filtered sonic provided velocity field data. Capable for continuous measurements of turbulence in open environments at high spatio-temporal resolution.
Development of a laboratory and open sea scale remote sensing methodology inferring water surface elevation maps (waves) in space and time from polarimetric measurements of the water surface reflections. The methodology relies on inferring the polarimetry-waves slopes transfer function by training Neural Networks on supervised data.
