
Professor
Affiliation: Imperial College London, London, United Kingdom
College of Engineering and Computer Science
Citations
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Professor Sanei, an internationally renowned scholar in the field of brain research, received his PhD from Imperial College London in 1991. He is a Fellow of the British Computer Society (FBCS) and a Fellow of IEEE (FIEEE). Returning from Singapore to the UK in 2002, he became a Lecturer at King’s College London until 2004, then held the position of Senior Lecturer at Cardiff University (UK). In 2010, he moved to the University of Surrey as Reader and Deputy Head of Department, before becoming a Professor at Nottingham Trent University in 2017. Since then, he has also been a Visiting Professor at the CSP Group, Department of Electrical and Electronics Engineering, Imperial College London and Institute of Psychiatry, Psychology & Neuroscience, King’s College London. He has developed four undergraduate and graduate programs and taught more than 30 courses in the fields of Computer Science, Electrical Engineering, and Bioengineering. He has also served as an External Examiner for many universities at home and abroad. Professor Sanei’s research focuses on advanced signal processing, machine learning, and cooperative sensor networks, with major applications in cognitive computing and bioengineering. He pioneered the analysis of epileptic brain responses to deep brain stimulation (DBS). He developed novel deep learning methods for detecting interictal epileptic discharges (IEDs), introducing uncertainty in data labeling into the detection model for the first time. In seminal clinical research, he demonstrated that IEDs and late responses to deep brain stimulation originate from the same epileptogenic region. He also pioneered EEG hyperscanning for brain-computer interfaces (BCIs). Professor Sanei introduced new multiscale dispersion entropy methods, including multiscale dispersion graph entropy, and contributed to the development of multi-channel, multi-axis surrogate generation techniques – particularly useful for deep neural networks that require large amounts of data. His work has been published in five books (a sixth in progress), seven edited books, eight book chapters, and over 470 international peer-reviewed scientific articles. Professor Sanei has also organized and chaired many leading IEEE and international scientific conferences, including IEEE ICASSP 2019 in Brighton, UK.
Affiliation: Imperial College London, London, United Kingdom