Assoc. Prof. Dr. Nidal Kamel

AP. Dr. Nidal Kamel received his PhD degree (Hons) from the Technical University of Gdansk, Poland, in 1993. Since 1993 he has been involved in research projects related to estimation theory, noise reduction, optimal filtering, and pattern recognition. He developed single-trial subspace-based technique for ERP extraction from brain background noise, time-constraints optimization technique for speckle noise reduction in SAR images, and introduced data glove for online signature verification. His present research interest is mainly in EEG signal processing for localization of brain sources, assessment of cognitive and visual distraction, Neurofeedback, learning and memory recall, as well as fMRI- EEG data fusion. He has been the editor of EEG/ERP Analysis: Methods and Applications, CRC Press, NY, 2015 and co-author of Brain Source Localization Using EEG Signal Analysis, Taylor and Francis, Ny, 2018.
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Quantitative EEG (QEEG) and Neurofeedback: Theory and Applications

MYR 2,040 for Professional (Discount available for students, group registration, PETRONAS staff, and UTP alumni)

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