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Samet Oymak
Associate Professor, EECS – Electrical and Computer Engineering
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Research Interests
Principled Methods and Theories for Data Science and Machine Learning to Enable Resource Efficiency and Trustworthy Decision-Making
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification
Statistical Methods and Inference
Academic Metrics
Links
Grants
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