Sami Azam is currently a senior lecturer and researcher with the College of Engineering and IT, Charles Darwin University, Australia. His research expertise includes machine learning, artificial intelligence, deep learning, advanced signal processing and image analysis. Applications include the classification, detection and modelling of a bio signals, such as electroencephalogram (EEG), electrocardiogram (ECG), and acceleration plethysmogram (APG) as well as medical image analysis for skin cancer detection, breast cancer detection and early diagnosis of diabetic and cardiovascular disease. He has also applied machine learning and other artificial intelligence techniques to detect and classify a range of cyber security threats.