Reza Fazel-Rezai

University of North DakotaUnited States of America

Dr. Reza Fazel-Rezai received his BSc. and M.Sc. in Electrical Engineering and Biomedical Engineering in 1990 and 1993, respectively. He received his Ph.D. in Electrical Engineering from the University of Manitoba in Winnipeg, Canada in 1999. From 2000 to 2002 he worked in industry as a senior research scientist and research team manager. Then he joined academia at Sharif University of Technology and later the University of Manitoba as Assistant Professor in 2002 and 2004, respectively. Currently he is Assistant Professor and the Director of Biomedical Signal Processing Laboratory at the Department of Electrical Engineering, University of North Dakota, USA. His research interests include biomedical signal and image processing, brain computer interface, EEG signal processing, seizure detection and prediction, neurofeedback, and human performance evaluation based on EEG signals.

4books edited

4chapters authored

Latest work with IntechOpen by Reza Fazel-Rezai

Brain-Computer Interface (BCI) systems allow communication based on a direct electronic interface which conveys messages and commands directly from the human brain to a computer. In the recent years, attention to this new area of research and the number of publications discussing different paradigms, methods, signal processing algorithms, and applications have been increased dramatically. The objective of this book is to discuss recent progress and future prospects of BCI systems. The topics discussed in this book are: important issues concerning end-users; approaches to interconnect a BCI system with one or more applications; several advanced signal processing methods (i.e., adaptive network fuzzy inference systems, Bayesian sequential learning, fractal features and neural networks, autoregressive models of wavelet bases, hidden Markov models, equivalent current dipole source localization, and independent component analysis); review of hybrid and wireless techniques used in BCI systems; and applications of BCI systems in epilepsy treatment and emotion detections.

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