NSF SHINE Award Supports AI-Powered Research to Better Predict Extreme Solar Activity

Source Domain: www.usu.edu

The National Science Foundation has awarded Associate Professor Soukaina Filali Boubrahimi from the School of Computing a $600,000 SHINE grant for three years.
The grant will support research improving predictions of solar energetic particle events using AI and advanced data science.
These solar events release high-energy particles which can disrupt satellites, GPS, navigation systems, radio communications, and infrastructure, and also pose risks to astronauts.
Filali Boubrahimi aims to develop more accurate and interpretable forecasts by leveraging multimodal machine learning.
The project involves analyzing solar data from NASA’s Solar Dynamics Observatory and other instruments to detect warning signs and improve forecasting models.
A public forecasting system will be created through the Community Coordinated Modeling Center to assist researchers and government agencies.
The research will include student training, integrating real-world data and AI into data science coursework.
Filali Boubrahimi has previously received over $2.3 million in NSF funding over the past four years.

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