Jonas De Decker

Delivered expert coaching and technical guidance to industrial clients in both remote and on-site settings.

Participated in advanced training, including the ROS Industrial Consortium in Odense, Denmark, to enhance expertise in robotic operating systems.

Acquired specialized knowledge in supply chain optimization for the metals industry, computer science, and Siemens PLC interfaces through targeted training courses.

Achieved logistic efficiency gains and energy cost reductions exceeding €100K annually through strategic modelling and system optimization.

Enhanced operational safety by improving security protocols for hall turnover and temporary out-of-bounds zones for Automated Guided Vehicles (AGVs).

Optimized bottleneck logistic planning operations, leading to significant efficiency gains across production processes.

Conducted comprehensive feasibility studies and cost-efficiency calculations for AGV transport systems, informing critical investment decisions.

Developed and applied hybrid modelling techniques for industrial machine control, leveraging Bayesian optimization to tune complex cost functions for cobot handling and human-in-the-loop feedback.

Established a state-of-the-art laboratory setup and hardware line, enabling future experiments in applied computer vision research.

Designed and implemented C/ROS-based experimental setups for stereo-vision and mono-vision systems, advancing object detection and pose estimation capabilities.

Analyzed operator behavior data to train adaptive control policies, utilizing Bayesian inference, k-Means clustering, and time-series warping algorithms for discrete and timed data.

Awarded the IIoT Innovation Summit award by Schneider Electric for developing DiagViewer 3.0, a data web application with advanced text-search, graphical, and visual monitoring capabilities.

Led full-stack development of industrial monitoring applications using Node.js, C#, and Angular, collaborating with IT consultants through commissioning phases.

Drove significant efficiency gains for PLC technicians, reducing costs for machine development and startup tuning processes through specialized tool creation.

Developed a suite of essential tools for service technicians and integrators, including a scripting wrapper for PLC code generation and a Git-based source control tool for IEC61131-3 projects.

Performed advanced protocol debugging and engineering to optimize communication between diverse IoT devices, enhancing system reliability and performance.