Charles Meertens
Dr. Meertens’ research is focused on the development of a real-time processing system capable of handling data from a large diversity of sensor observations and automatically detecting natural hazard events using machine learning. This generalized data analysis framework will support rapid analysis and understanding of data associated with hazardous events (earthquakes, volcanic eruptions, tsunamis), which can inform societal safety intervention. “GeoSciFramework” is a collaboration between CIRES/ESOC, UNAVCO, the University of Oregon, and Rutgers University funded by the National Science Foundation.
Current Research
UNAVCO GeoSciFramework project https://www.unavco.org/projects/major-projects/earthcube/geosciframework/geosciframework.html