معرفی
Dr. Sami Azam is a Senior Lecturer and Undergraduate Course Coordinator at Charles Darwin University's Faculty of Science and Technology. He holds a PhD in Biomedical Engineering, focusing on binaural processing in the human brain. His research spans machine learning, artificial intelligence, deep learning, advanced signal processing, and medical image analysis, with applications in biosignal classification (e.g., EEG, ECG) and cybersecurity for IoT devices. Dr. Azam is a key member of the Biomedical Engineering and Health Informatics research group and actively engages in grant writing, conference presentations, and professional organizations such as IEEE and ACS.
His work emphasizes interdisciplinary projects, including automated disease diagnosis (e.g., skin cancer, retinal diseases), smart grid security, and privacy-preserving data analysis. He has secured numerous grants and developed frameworks like PBDINEHR for secure electronic health records. Dr. Azam’s contributions bridge biomedical engineering and computational methods, addressing global health challenges through innovative AI applications.
