Network data analysis: a foundation for monitoring and securing communication networks

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Network analysis is becoming increasingly important in many disciplines: biology, physics, economics, engineering, computer science. We are building and encountering vast, complex networked systems that involve the multi-faceted interaction of many component parts. Scientific advances rely on successful processing of the often vast datasets that are recorded on these networks. To successfully monitor, operate, and secure modern networks, we require new signal processing algorithms and machine learning techniques. Currently available tools for analyzing distributed data recorded on networks are limited. They struggle to address dynamic networks in which nodes interact in many different ways. In this project, our research group will strive to fill important gaps in the data analysis toolkit that is available for studying large datasets recorded on networks.