Machine Intelligence Signal And Network (MISN Lab)

Recent technological advancements in the internet, biology, basic sciences, engineering, and finance have produced large and complex data sets. By using techniques from optimization, signal processing, high-dimensional statistics, graph theory, and machine learning, we develop data-driven methods to solve optimization and learning problems arising from these new technologies. More specifically our impetus is on graph machine learning theory and applications, optimization theory, federated learning, wireless, networks, and machine learning for computational neuroscience, medicine, and earth sciences.

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