Rate My Professor Saeid Sanei

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.