Samuel Dauwe is a research engineer with a strong hybrid background in electronics, software engineering and applied research, currently designing first-of-a-kind demonstrators at Barco that blend computer vision, machine learning and real-time GPU video processing. He holds dual master's degrees in Electronics-ICT and Computer Science (Software Engineering) and pursued PhD research on architectures and algorithms for autonomous intelligent sensor networks, reflecting deep expertise in distributed, context-aware systems. Prior roles include developing 3D EM simulation software at Keysight and contributing to sensor-network and mobile heritage projects at Ghent University/iMinds, giving him rare cross-domain experience from electromagnetic EDA to embedded and scalable computing. Samuel is skilled at turning research concepts into practical prototypes that reveal new product and market opportunities, and he often works at the intersection of hardware-aware software and real-time analytics. Based in the Ghent metro area, he brings a pragmatic research mindset and a track record of shipping demonstrators that bridge academia and industry.
9 years of coding experience
10 years of employment as a software developer
Master in the industrial sciences, electronics-ICT, Master in the industrial sciences, electronics-ICT at Katholieke Hogeschool 'Sint-Lieven', Gent
Moderne Wetenschappen, Sciences, Moderne Wetenschappen, Sciences at Sint Vincentius College, Eeklo
Master of Science, Computer Science, Software Engineering, Master of Science, Computer Science, Software Engineering at Ghent University
Techniek-wetenschappen, Sciences, Techniek-wetenschappen, Sciences at Sint-Leoinstituut, Eeklo
Contributions:24 commits, 30 pushes, 2 branches in 2 months
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