معرفی
Dr. Dimitri Androutsos is an Associate Dean (Undergraduate Studies and Student Affairs) and Professor in the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University. He holds a BASc, MASc, and PhD in Electrical Engineering from the University of Toronto, and is a PEng-registered professional. His expertise spans Digital Signal Processing, Computer Vision, and Medical Imaging applications, with a focus on image manipulation, super-resolution, and AR/VR technologies.
Education:
- PhD in Electrical Engineering, University of Toronto (1999)
- MASc in Electrical Engineering, University of Toronto (1994)
- BASc in Electrical Engineering, University of Toronto (1992)
Research Interests: Dr. Androutsos explores advanced image and video processing techniques, including computational photography, stereoscopy, and AI-driven medical diagnostics. His work integrates machine learning and computer vision to address challenges in biomedical applications such as tumor cell detection, surgical navigation systems, and automated pathology analysis. Recent trends in his publications emphasize AI tools for improving diagnostic accuracy in breast cancer through techniques like Ki67 index quantification and domain adaptation for medical imaging.
Professional Engagement: He is a Senior Member of IEEE and has held roles such as General Co-Chair for IEEE ICASSP 2021. His research bridges academic and applied domains, with contributions to augmented reality systems for surgical workflows and energy-efficient video processing algorithms.
Labs & Teams: As a faculty member, he contributes to interdisciplinary projects within the Department of Electrical, Computer, and Biomedical Engineering, focusing on medical imaging, computer vision, and AI applications in healthcare.
