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Raf Peeters is a distinguished professor at KU Leuven in the Department of Electrical Engineering (ESAT), specifically within the PSI (Processing Speech and Images) division. He is also a prominent research figure at imec, a world-leading research and innovation hub in nanoelectronics and digital technologies. His primary research interests and expertise lie in the fields of computer vision, artificial intelligence (AI), deep learning, 3D vision, and their practical applications in diverse areas such as autonomous systems (e.g., autonomous driving), robotics, and medical imaging. Professor Peeters leads research groups, mentors PhD students, and has contributed significantly to advancing these technological frontiers through numerous high-impact publications, international collaborations, and innovative projects. His work often bridges the gap between fundamental research and industrial application, aiming to solve real-world challenges.
Raf Peeters's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Holds a full professorship at the prestigious KU Leuven, Department of Electrical Engineering (ESAT-PSI), contributing to top-tier research and education in computer vision and AI.
Leads and contributes to cutting-edge research projects at imec, focusing on AI, computer vision, and their real-world applications in nanoelectronics and digital technologies.
Authored and co-authored numerous influential papers in leading computer vision, AI conferences, and journals, which have garnered significant citations and recognition in the academic community.
Contributed significantly to advancements in 3D computer vision, deep learning algorithms, and their application in complex fields like autonomous navigation, industrial inspection, and healthcare technologies.
Successfully supervised and mentored a significant number of PhD students and postdoctoral researchers, fostering the next generation of experts in AI and computer vision.
Katholieke Hogeschool Limburg - Year 1999
Katholieke Hogeschool Limburg - Year 1998
Provinciale Hogeschool Limburg - Year 1997
Heilig-Kruiscollege - Year 1992
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Qcify develops AI-powered computer vision technology for automated quality control in the fresh produce industry. Their solutions help packhouses and food producers to inspect fruits and vegetables for defects, size, and color with high accuracy and speed. This enables businesses to reduce food waste, ensure consistent product quality, optimize sorting processes, and gain valuable data insights for better decision-making, ultimately improving operational efficiency and profitability.
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