GeoThermalCloud: Fusion of Big Data and Multi-Physics Models

GeoThermalCloud is an open-source machine-learning framework for geothermal exploration. It has been applied for the discovery, exploration, and development of Hidden Geothermal Resources.

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Velimir Vesselinov

My expertise is in applied mathematics, computer science and engineering. My research is in the general area of data analytics, model diagnostics and machine learning. I am the inventor and lead developer of a series of novel theoretical methods and computational related to machine learning, data analytics, model diagnostics, and data inference tools. I am also a co-inventor of LANL-patented machine-leaning methodology. Over the years, I have been the principal investigator of several projects for machine learning, model development, model analyses, uncertainty quantification and decision support