Inspires a passion for knowledge and growth.
Professor Saeid Sanei serves as Professor of Computer Science (Signal Processing & Machine Learning) and Program Director of the Computer Science Program within the College of Engineering and Computer Science at VinUniversity. He obtained his PhD in Biosignal Processing and Pattern Recognition from Imperial College London in 1991, MSc in Satellite Communication Engineering from the University of Surrey in 1987, and BSc in Electronics from Isfahan University of Technology in 1985. A Fellow of the IEEE (FIEEE) and the British Computer Society (FBCS), his career includes Professor at Nottingham Trent University since 2017, Reader and Deputy Head of Department at the University of Surrey from 2010 to 2017, Senior Lecturer at Cardiff University, Lecturer at King’s College London from 2002 to 2004, and earlier roles including work at the National University of Singapore. He holds Visiting Professor positions at the Department of Electrical and Electronic Engineering, Imperial College London, and the Institute of Psychiatry, Psychology & Neuroscience, King’s College London. Professor Sanei has developed four undergraduate and graduate programs, taught over 30 courses in Computer Science, Electrical Engineering, and Bioengineering, and served as External Examiner for universities such as Glasgow University and Royal Holloway University of London.
His research focuses on advanced signal processing, machine learning, and cooperative sensor networks with applications in cognitive computing and bioengineering, including pioneering analysis of epileptic brain responses to deep brain stimulation, deep learning for interictal epileptic discharges, EEG hyperscanning for brain-computer interfaces, and multiscale dispersion entropy methods. He has authored five books—EEG Signal Processing and Machine Learning (John Wiley & Sons, 2021), Body Sensor Networking, Design and Algorithms (John Wiley & Sons, 2020), Singular Spectrum Analysis of Biomedical Signals (CRC Press, 2015), Adaptive Processing of Brain Signals (John Wiley & Sons, 2013), and EEG Signal Processing (John Wiley & Sons, 2007)—with a sixth, EEG Processing and Learning for Epilepsy Identification (John Wiley & Sons, 2026), forthcoming. Additionally, he has published over 470 peer-reviewed articles, contributed eight book chapters, and edited seven books. Professor Sanei has earned awards such as the 2024 Hojjat Adeli Award for Outstanding Contribution to Neural Systems, Best Paper Awards at EUSIPCO 2024, ICASSP 2009, and BCI Workshop 2006, R&D Bronze Award in 2000, and recognition from EPSRC UK in 2018. He has organized IEEE ICASSP 2019, served as Associate Editor for IEEE Signal Processing Magazine and Letters, supervised 47 PhD students and six postdocs, and delivered 34 keynote talks and over 60 invited lectures.