Coen Van Leeuwen is a research scientist with 11 years of experience applying AI, computer vision and multi-agent systems to real-world problems at TNO in the Netherlands. He holds an MSc in Artificial Intelligence and completed a PhD on self-organizing multi-agent systems, developing the CoCoA algorithm for fast, near-optimal solutions to Distributed Constraint Optimization Problems used in sensor networks, smart grids and wireless power transfer. His work blends theoretical rigor with practical software—building image-analysis pipelines for traffic monitoring, surveillance and medical instruments while advancing distributed coordination methods. Based in Groningen, he combines a deep interest in pattern recognition and genetic algorithms with a pragmatic focus on adaptive, decentralized systems that can reconfigure as environments and requirements change.
11 years of coding experience
6 years of employment as a software developer
Ommelander College
MSc, Artificial Intelligence, MSc, Artificial Intelligence at University of Groningen
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