Seyyed Abed Hosseini

Islamic Azad University, Mashhad Branch

Dr. Seyyed Abed Hosseini received his BSc. and M.Sc. in Electrical Engineering and Biomedical Engineering in 2006 and 2009, respectively. He received his Ph.D. in Electrical Engineering from the Ferdowsi University of Mashhad, Iran in 2016. He has 11 years of teaching experience and 1-year industry experience. He is a senior researcher at the Center of Excellence on Soft Computing and Intelligent Information Processing, Iran. He is a Reviewer for 12 International Journals. He received 10 national and international awards. He has published over 60 peer-reviewed articles and book chapters in the field of emotion and attention studies. His research interests include cognitive neuroscience, EEG/MEG signal processing, functional magnetic resonance imaging (fMRI), event-related potentials (ERPs), emotion recognition, seizure detection, brain-computer interface (BCI), and neurofeedback.

2books edited

3chapters authored

Latest work with IntechOpen by Seyyed Abed Hosseini

Emotion, stress, and attention recognition are the most important aspects in neuropsychology, cognitive science, neuroscience, and engineering. Biological signals and images processing such as galvanic skin response (GSR), electrocardiography (ECG), heart rate variability (HRV), electromyography (EMG), electroencephalography (EEG), event-related potentials (ERP), eye tracking, functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) have a great help in understanding the mentioned cognitive processes. Emotion, stress, and attention recognition systems based on different soft computing approaches have many engineering and medical applications. The book Emotion and Attention Recognition Based on Biological Signals and Images attempts to introduce the different soft computing approaches and technologies for recognition of emotion, stress, and attention, from a historical development, focusing particularly on the recent development of the field and its specialization within neuropsychology, cognitive science, neuroscience, and engineering. The basic idea is to present a common framework for the neuroscientists from diverse backgrounds in the cognitive neuroscience to illustrate their theoretical and applied research findings in emotion, stress, and attention.

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