- Excellent theoretical knowledge in the various aspects of statistical signal/image processing, including, estimation theory, stochastic modeling, higher order statistics (HOS), PCA and subspace related theory, filtering, signal/image denoising, pattern recognition and artificial intelligence. This is in addition to the conventional analytical tools, like Fourier analysis, power spectrum density, wavelets, fractal analysis, and others. - Excellent knowledge in implementing the aforementioned mathematical tools in brain diagnostic studies using EEG, MEG, fMRI and fNIR neuroimaging modalities.- Solid knowledge in experiment design for EEG/MEG/ERP and fMRI applications, statistical analysis of the results and results interpretation.- Excellent experience in developing new techniques for visual motion magnification, periodic motion estimation using videos with application in heartrate estimation from face, remote detection of fever, remote observation of the physiological signals of premature babies in incubators, …, etc. - Published more than 40 papers in reputed journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Geosciences and Remote Sensing, IEEE Transaction on Image Processing, and IEEE Transaction on Circuits and Systems for Video Technology. This is in addition to Elsevier, Springer, John Wiley and other publishers.- Published more than 200 research papers in the proceedings of international conferences.- Excellent experience in supervising Master and PhD students in topics related to brain studies using EEG/MEG/ERP, fMRI and fNIR neuroimaging modalities. https://scholar.google.com/citations?user=Yne66LwAAAAJ&hl=en
Listed skills include Eeg Analysis, Erp Extraction, Speckle Noise Reduction In Sar And Ultrasound, Online Signature Verification, and 11 others.
