Efficient operation of communication networks can be achieved by predicting future congestion scenarios and simulating changes.
Our laboratory develops innovative generative AI models capable of predicting and generating complex data associated with communication networks and their interrelated structures.
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Data-driven Anomaly Detection
The internet facilitates an enormous volume of daily communications, making it a treasure trove of network data.
We conduct research to enhance the reliability and security of communication networks by leveraging this vast data to develop technologies for identifying malicious communications by hackers and detecting potential issues.
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Optimization by Statistical Analysis
The internet's vastness and complexity make it challenging to analyze and control its properties. To ensure reliable communication, statistically analyzing and optimizing network and user behavior is crucial. Our lab focuses on optimization across various targets in networks.
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