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Caio E. Stringari, PhD

Hi 👋, my name is Caio (pronounced as K-“EYE”-oh, “K” as in “Key” “Eye” “Oh” as the “o” in “Pro”) and I am an Earth Scientist 🌎. I currently live in St. John's, Canada 🇨🇦. I recently finished first post-doc in France 🇫🇷. I have a PhD from the University of Newcastle, Australia 🇦🇺 and a bachelor's degree in oceanography from the Federal University of Rio Grande, Brazil 🇧🇷. I am specialized in using machine learning and data-driven techniques to solve challenging environmental problems. My work so far focused mainly to study waves 🌊 processes such as wave breaking, energy dissipation and wave-wave interactions - which have several coastal and ocean engineering applications. I program mostly in python but can work proficiently with fortran, octave/matlab and (occasionally) C++.

Caio Eadi Stringari's Projects

bbc-jgr-oceans icon bbc-jgr-oceans

Supporting data and code for the paper: Quantifying Bore-Bore Capture on Natural Beaches

deepwaves icon deepwaves

Code and data for Deep Neural Networks for Active Wave Breaking Classification

flamingo icon flamingo

Python toolbox for coastal image analysis

mlww3cl icon mlww3cl

Improving WW3 Results with Machine Learning

opencv icon opencv

Open Source Computer Vision Library

pix2pix-tensorflow icon pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pyflwdir icon pyflwdir

Fast methods to work with hydro- and topography data in pure Python.

pyww3 icon pyww3

Python wrapper for NOAA's Wavewath III

terracotta icon terracotta

A light-weight, versatile XYZ tile server, built with Flask and Rasterio :earth_africa:

wass icon wass

WASS (Waves Acquisition Stereo System) is an optimized stereo processing pipeline for sea waves 3D reconstruction.

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