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UCR AI Graduate Research Brown Bag Series

UCR AI Graduate Research Brown Bag presentation series is the informal seminar to support and engage with the innovative AI research done by graduate students across campus. This event is sponsored by The UCR Library, RAISE@UCR Institute, GradSuccess, and the XCITE Center for Teaching and Learning.

Cover page of NuclearGuard AI Agent-Assisted Radiation Anomaly Detection and Operator Decision Support Using Gamma-Ray Spectral Data

NuclearGuard AI Agent-Assisted Radiation Anomaly Detection and Operator Decision Support Using Gamma-Ray Spectral Data

(2026)

This presentation introduces NuclearGuard AI, an interactive nuclear safety dashboard that applies deep learning and anomaly detection to public gamma-ray spectral data. The prototype visualizes radiation spectra, anomaly scores, reconstruction errors, and spatial risk patterns to help identify suspicious radiological signals. Using Streamlit, Plotly, and machine learning models such as Isolation Forest and deep autoencoders, the project demonstrates how AI can support radiation monitoring, interpretable nuclear safety analysis, and operator decision-making.

Cover page of Inaugural UCR AI Graduate Research Brown Bag Series Event Flyer

Inaugural UCR AI Graduate Research Brown Bag Series Event Flyer

(2026)
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