Summary
Matei Mancas is a senior researcher and founder focused on computational modelling of human attention, translating gaze and interest theories into practical AI systems for image, video and audio analysis. Based at UMONS and TRAIL, he combines a PhD-level research background with technology transfer experience as CTO-founder of Ittention, applying attention models to marketing optimization and surveillance. He advocates that computational attention is a fundamental building block for intelligent algorithms and actively pushes those methods into real-world products and deployments. With two decades of academic and applied work spanning workshops, editorial roles and organized conferences, he bridges rigorous research and product engineering. Based in the Charleroi metro area, he brings a rare blend of theoretical depth and hands-on commercialization to problems of perceptual relevance.
8 years of coding experience
PhD, Human Attention Modelling in Computer Science, PhD, Human Attention Modelling in Computer Science at Engineering Faculty, University of Mons
MS, Telecommunications and Computer Science, MS, Telecommunications and Computer Science at ESIGETEL
MS, Information Processing, MS, Information Processing at University of Orsay (Paris XI)