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Zhilin (Zorro) Zhang


Ph.D. in Signal and Image Processing

Department of Electrical & Computer Engineering

University of California, San Diego





[Publications] [Codes] [Activity] [Research Blog][Blog in Chinese][Courses] [Life]

[T-MSBL for MMV Model] [BSBL for Block-Sparse Model]


I received Ph.D. in Electrical Engineering from University of California at San Diego (UCSD) in December 2012. My Ph.D. advisor is Prof. Bhaskar D. Rao. During my Ph.D. study, I closely collaborated with Prof. Scott Makeig and Prof. Tzyy-Ping Jung in Swartz Center for Computational Neuroscience, and with Prof. Li Shen in Indiana University Medical School.


I join Samsung Telecommunications America R&D Lab in January 2013, and continue to research in Sparse Signal Recovery, Sparse Bayesian Learning and Biomedical Signal Processing, with applications to Smartphone-Based Telemonitoring and Brain-Computer Interfaces. In particular,

  (1) in Sparse Signal Recovery, I focus on structure-exploited sparse signal recovery, dictionary learning, and various new models;

  (2) in Sparse Bayesian Learning (SBL), I focus on SBL exploiting spatiotemporal correlation, and SBL for non-sparse signal recovery;

  (3) in Biomedical Signal Processing, I focus on EEG and ECG signal processing (artifact removal, noise filtering, feature selection and extraction, and pattern recognition), and bioinformatics;

  (4) in Smartphone-Based Telemonitoring, I focus on data compression, signal processing, and pattern recognition;

  (5) in Brain-Computer Interfaces, I focus on signal processing and pattern recognition, with applications to neuro-education, neuro-marketing, and neuro-entertainment.