Critical Infrastructure

Critical infrastructure research focuses on ensuring the reliable operation of essential systems like energy grids, transportation networks, and water supplies, often in the face of natural disasters or cyberattacks. Current research emphasizes leveraging machine learning, particularly deep learning models like convolutional neural networks and graph neural networks, along with federated learning techniques to enhance monitoring, anomaly detection, and damage assessment while preserving data privacy. These advancements are crucial for improving resilience, optimizing resource allocation during emergencies, and mitigating risks to societal well-being, impacting both scientific understanding and practical disaster response strategies.