Nidal Kamel personal email
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- 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
Vinuniversity, College Of Engineering And Computer Science
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Associate ProfessorVinuniversity, College Of Engineering And Computer Science 2022 - PresentWorking with a group of researchers in the Center of Intelligent Environmental for the development of advanced technology for the estimation of carbon stock and biodiversity assessment using satellite data and neural networks.Leading UROP projects for the detection and severity assessment of social anxiety disorder using electroencephalography (EEG) brain signals.Teaching the following courses for undergraduate students:- Signals and Information- Intelligent physical systems- Advanced statistics for computer science- Digital telecommunication systems- Digital image processing
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Associate ProfessorMcgill University, Montreal, Canada 2020 - 2022Worked with a group of researchers on exploration of the trajectories of brain development with focus on healthy brain development and developmental psychopathologies. Using functional (fMRI, EEG, MEG) and structural brain imaging (MRI, DTI, pCASL), we develop biomarkers, in term of functional and structural connectivity, to study the network topography at macroscopic changes in the developing brain.
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Associate ProfessorTechnical University Of Petronas, Perak, Malaysia 2007 - 2020- Led the Neuro-Signal Processing Group at the Center of Image and Signal Intelligent Research (CISIR) and managed projects focused on developing techniques for ERP/EEG extraction, artifact removal, analysis and classification.- Worked with a team of neuroscientists, psychiatrics and post graduate students in developing biomarkers using EEG signals for epileptic seizure detection and prediction, driver cognitive distraction, stress assessment, social anxiety assessment. This is in addition to many other topics related to brain disorders.- Developed video processing techniques for motion estimation, background initialization, and visual motion magnification.- Designed and conducted the following courses for undergraduate students:- Signals and Systems- Digital Signal Processing- Probability and Random Processes- Image processing- Analog Telecommunication Systems- Digital Telecommunication Systems- Probability and Statistics- Subspace Methods for Signal and Image Enhancement (Graduate)- Stochastic Process Modeling and Spectrum Estimation (Graduate)- Advanced Topics in Statistical Signal Processing (Graduate)- Fundamentals of Signal Subspace: Theory and Applications (Graduate)
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Senior LecturerMultimedia University, Melaka, Malaysia 2001 - 2005- Worked with a team of engineers in developing, testing, and prototyping novel online signature verification system using data glove.- Developed new technique for SNR estimation in Scanning Electron Microscopy (SEM) images.- Designed algorithm for SNR estimation at the front-end of multiple antenna receiver for diversity combining.- Designed and taught the following courses for undergraduate students:- Computer Organization and Architecture- Analogue Control Systems- Digital Control Systems- Analogue and Digital Telecommunication- MATLAB in Signal Processing
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LecturerTechnical University Of Gdansk, Gdansk, Poland 1995 - 2000- Worked with a group of researchers on the design, test, and prototype of high-resolution sonar. The project was in collaboration with Polish Academy of Science and funded by the Polish Navy.- Taught the following courses to undergraduate and postgraduate students:- Probability and Random Processes- Digital Signal Processing- Stochastic Modeling of Sonar Data
Nidal Kamel Skills
Nidal Kamel Education Details
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Computer Systems Networking And Telecommunications -
Computer Systems Networking And Telecommunications
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Electrical And Electronics Engineering
Frequently Asked Questions about Nidal Kamel
What company does Nidal Kamel work for?
Nidal Kamel works for Vinuniversity, College Of Engineering And Computer Science
What is Nidal Kamel's role at the current company?
Nidal Kamel's current role is Statistical Signal Processing | PCA/ICA |EEG/MEG/fMRI/fNIR | Effective Connectivity| Image Processing | Telecommunication.
What is Nidal Kamel's email address?
Nidal Kamel's email address is ni****@****ail.com
What schools did Nidal Kamel attend?
Nidal Kamel attended University Of Gdansk, Technical University Of Gdansk, University Of Gdansk, Tishreen University.
What are some of Nidal Kamel's interests?
Nidal Kamel has interest in Technologies, Sport, Civil Rights And Social Action, Photography, Science And Technology, Music, Human Rights.
What skills is Nidal Kamel known for?
Nidal Kamel has skills like Eeg Analysis, Erp Extraction, Speckle Noise Reduction In Sar And Ultrasound, Online Signature Verification, Stochastic Modeling, Higher Order Statistics, Pattern Recognition, Linear Prediction, Driver Cognative Distraction, Snr Estimation In Signal And Image, Matlab, Signal Processing.
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Nidal Kamel
Hanoi Capital Region -
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2petronas.com.my, petronas.com
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