Matthias De Ryck
Matthias De Ryck is an AI Solution Architect at Superlinear, driving strategic AI adoption and innovation for industry-leading clients. With a PhD and postdoctoral experience at KU Leuven in Computer Science, specializing in multi-robot systems and machine vision, he bridges academic expertise and industrial deployment.
He has successfully led VLAIO-funded innovation projects, translating cutting-edge research into operational value. At Superlinear, Matthias designed and led the computer vision roadmap for the Port of Antwerp-Bruges, tackling impactful use cases including debris detection, quay wall inspection, berthing validation, and train wagon and vessel identification.
He also spearheads the development of Superlinear’s open-source computer vision accelerator SuperSight, enabling scalable and efficient CV prototyping across sectors. As a trusted consultant, Matthias guides companies in prioritizing AI efforts and leveraging state-of-the-art technology for measurable impact.
🧠 AI Strategy & Consulting – Solution Architect at Superlinear, advising across logistics, maritime, and industrial sectors on CV adoption
📊 Applied Computer Vision – Led implementation of CV tools at Port of Antwerp-Bruges: improved asset monitoring, detection accuracy, and operational efficiency
🔬 Academic Foundations – PhD and postdoc at KU Leuven in robotics & machine vision; published on distributed multi-agent coordination
🚀 Innovation Leadership – Coordinated successful VLAIO-funded R&D projects to accelerate industrial AI innovation
Toepassingsgebied/sector
- Computerwetenschappen & IT
- Industrie & logistiek
Opleidingen
Enhancing efficiency in food processing - Smart sensoring and data analysis
Opleiding - Geel, Online - PUC KU Leuven Continue
Machine Vision
tweedaagse masterclass - Brugge - PUC KU Leuven Continue, VAIA
Machine Vision
Tweedaagse masterclass - Brugge - PUC KU Leuven Continue