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4th NOAA Workshop on Leveraging AI in Environmental Sciences has ended
The interactive workshop will be a virtual event to build collaboration and initiate the active development of AI-powered applications and community standards.

We invite developers, data scientists, domain experts, social scientists, and downstream users to form small teams around different use cases that are relevant to three themes relevant to NOAA Mission Areas: Fire Weather and Impacts, AI for Ocean Conservation, and Interoperable Digital Twin Earth.

All information about workshop logistics can be found in the handbook for participants.

If you encounter issues registering for the workshop, please contact ai.workshop@noaa.gov.
avatar for Miguel Velez-Reyes

Miguel Velez-Reyes

NOAA Center for Earth System Science and Remote Sensing Technologies and The University of Texas at El Paso
Professor and UTEP CESSRST Campus Director
El Paso, TX
Dr. Velez-Reyes research interests are in integrating physical, statistical, and machine-learning approaches to develop methodologies for information extraction from dynamic systems using remote sensing. Dr. Velez-Reyes work has focused in recent times in remote sensing methodologies using hyperspectral remote sensing in earth system science, national defense and security, and space domain awareness. The approach to develop his research program has been guided by the principle of "diverse problems, similar solutions," which has helped him to understand and exploit the commonalities (physical and mathematical, computational and algorithmic) that underlie diverse problems in information extraction from remote and minimally intrusive sensing, and explore this knowledge synergy in the solution of existing and novel problems across different fields. This approach has stimulated significant cross-disciplinary dialog that have led to collaboration with researchers in multiple disciplines across science and engineering.
Tuesday, September 6
 

12:00am MDT

9:30am MDT

11:30am MDT

1:30pm MDT

 
Wednesday, September 7
 

9:30am MDT

11:30am MDT

1:00pm MDT

2:00pm MDT

 
Thursday, September 8
 

9:30am MDT

1:30pm MDT

 
Friday, September 9
 

9:30am MDT

11:30am MDT

 
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