Signal processing, machine learning, computer vision
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Focuses on algorithms for sparse and low-rank modeling, robust subspace learning, and online inference. Integrates compressed sensing and PCA variants to analyze streaming data for real-time imaging, video tracking, anomaly detection, and activity understanding.
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