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Miodrag Bolic is a professor whose current research focuses on addressing practical challenges using signal processing and machine learning across diverse fields. His biomedical applications include AI-based wearable solutions for patient monitoring, contactless blood pressure monitoring, continuous emotion classification, contactless heart failure patient monitoring, and fall detection. In the context of UAV applications, he works on detection, tracking, and classification based on state-of-the-art computer vision and machine learning models for UAV detection, inspection, and counter-drone strategies. Dr. Bolic's approach emphasizes modeling and simulation to understand complex, real-world scenarios in healthcare and UAV-related technologies, applying his knowledge to real-world settings.
University of Ottawa • Ottawa, Canada
Teaching and conducting research in the department of Electrical Engineering, focusing on machine learning and signal processing.
Department of History