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Information and Communication Engineering
Machine Learning | Statistical Signal Processing | Low-rank Matrix Completion | Source Separation
Zahra Sabetsarvestani is a PhD student at the UCL Electronics and Electrical Engineering in the Communication and Information System group. Her research is mainly focused on machine learning and statistical signal processing where she works on both theoretical foundation and practical applications. In particular, she is currently working on developing new source separation algorithms to be used in art investigation applications.