1. Introduction to biomedical signal processing and artificial intelligence 2. Characterization of biomedical signals: Feature engineering and extraction 3. Supervised and unsupervised learning 4. Machine learning in biomedical signal processing with ECG applications 5. Deep EEG: Deep learning in biomedical signal processing with EEG applications 6. Fuzzy logic in medicine 7. Neural network applications in medicine 8. Analysis and management of sleep data
PhD in Electrical Engineering from City University London, UK, MSc in Communications and Signal Processing from University of London, UK, postgraduate Diploma (DIC) from Imperial College of Science, Medicine, and Technology, University of London, UK, Postgraduate Certificate in Learning and Teaching from University of West London, UK, and Bachelor Degree in Electrical Engineering from Kuwait University, Kuwait.