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New Solution by Electrical and Computer Engineering Researchers Enhances AI Security in Brain MRI Analysis

Researchers at the College of Engineering, University of Tehran, have developed a novel framework based on federated learning to improve the security and robustness of artificial intelligence systems used in brain magnetic resonance imaging (MRI) analysis. The proposed approach enables multiple institutions to collaboratively train AI models without transferring raw patient data, while identifying potentially suspicious or malicious contributions from participating institutions and mitigating their impact on the learning process.

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Design of an intelligent hyperspectral scanner for Drill-Core at the School of Surveying and Geospatial Engineering, University of Tehran

The "Intelligent Hyperspectral Drill-Core Scanner," leveraging hyperspectral imaging and artificial intelligence, enables non-destructive, precise, and data-driven analysis of drill cores. Developed within a research collaboration at the University of Tehran, this technology can significantly enhance the accuracy and speed of decision-making in mineral exploration, oil and gas, and earth-science studies.

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