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Dr. Sanei is currently a Visiting Reader of the Department. He received his PhD from Imperial College of Science, Technology, and Medicine, London, in Biomedical Signal and Image Processing in 1991. Since then he has been a member of academic staff in Iran, Singapore, and the United Kingdom (King's College London, Cardiff University, and University of Surrey). He is an internationally known expert in signal processing, biomedical signal processing (Neuroscience & Neurotechnology), and pattern recognition. His recent research contributions have been in the areas of compressive sensing, spatial filtering and beamforming, constrained blind source separation (BSS) in multiple-input multiple-output (MIMO) environments, tensor factorisation, constrained optimisation, non-linear prediction and analysis of dynamical changes using chaos theory, with application to analysis of brain signals and images (particularly brain-computer interfacing), gait recognition, sound and video data, body sensor networking, and source localisation and tracking.
Dr Sanei's research interest is developing and application of advanced digital signal processing and pattern recognition techniques with major applications in neuroscience and neurotechnology. These include adaptive filtering, tensor factorisation, blind source separation, compressive sensing, convex and global optimisation, channel estimation, identification, and deconvolution, clustering and classification, modelling, beamforming, data fusion, non-linear prediction, and analysis of dynamical changes using chaos theory, with applications to analysis of brain signals and images, gait recognition, sound (speech, music) and video data, brain-computer interfacing (BCI), source localisation and tracking, and many other acoustic, biomedical, and communication data.