Theory and Algorithms Underlying Data Science and Machine Learning. Theory Includes Applied Probability, Statistical Modeling, and Optimization. Applications Include Complex Networks, Spatio-Temporal Processes, Computational Biology, Personalized Health, and Security.
1 faculty research Theory and Algorithms Underlying Data Science and Machine Learning. Theory Includes Applied Probability, Statistical Modeling, and Optimization. Applications Include Complex Networks, Spatio-Temporal Processes, Computational Biology, Personalized Health, and Security. on GradNova.
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John H. Holland Distinguished University Professor of EECS; R. Jamison and Betty Williams Professor of Engineering; Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), Biomedical Engineering; EECS – Computer Science and Engineering; Statistics
Theory and Algorithms Underlying Data Science and Machine Learning. Theory Includes Applied Probability, Statistical Modeling, and Optimization. Applications Include Complex Networks, Spatio-Temporal Processes, Computational Biology, Personalized Health, and Security.
Sparse and Compressive Sensing Techniques
Distributed Sensor Networks and Detection Algorithms
Statistical Methods and Inference
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