Friso De Boer

Professor Friso De Boer is a faculty member in the College of Engineering and Information Technology at Charles Darwin University (CDU). His primary research focuses on detecting abnormalities in biosignals using advanced signal processing techniques and artificial intelligence, including machine learning and neural networks. Key applications include EEG-based binaural hearing research, APG/ECG analysis for heat stress detection, and AI-driven diagnosis of diseases like breast cancer, cardiovascular disease, and kidney disease. He leads the Biomedical Engineering and Health Informatics Research Group at CDU, offering PhD opportunities in these areas. Prospective students are encouraged to contact him directly for further collaboration.

His research interests span biomedical engineering, medical imaging, and health informatics. Notable projects involve developing novel AI models (e.g., ECgMLP, LungNet22) for disease diagnosis and improving diagnostic accuracy through hybrid approaches like graph theory and deep learning. He also explores ergonomic risk prediction via 3D pose analysis and gesture recognition systems for interactive displays.

Publications highlight advancements in medical AI, including skin cancer detection, endometrial cancer diagnosis, and automated respiratory disease analysis using XAI principles. His work emphasizes real-world clinical applications, such as improving ICD coding accuracy and enhancing CT scan interpretation for pediatric bronchiectasis.

Professor De Boer collaborates on interdisciplinary projects, blending engineering principles with healthcare challenges. His contributions span from foundational signal processing research to applied AI solutions in clinical settings, reflecting a commitment to advancing biomedical technology and patient outcomes.