Overview
Renaud Bouckenooghe is Chief Technology Officer of COREMATIC Europe, a role he took up in December 2023, and is based in Liège. He states expertise in MLOps, artificial intelligence, deep learning, computer vision and generative AI. Since March 2023 he has also been a co-founder of Accelerate.ai.
Between April and December 2023 he was a machine learning engineer at Sirris, and from July 2022 to March 2023 he worked as a computer vision engineer at both NavInfo Europe B.V. and AIIM. He spent almost nine years at FN Herstal, joining in December 2013 as a computer vision engineer and serving as computer vision and deep learning tech lead from March 2018 to June 2022. From December 2013 to December 2023 he was an engineering consultant at Manakeen, and before that a software engineer at EVS Broadcast Equipment from February 2012 to November 2013. Earlier he was artistic director of the Fédération des Etudiants de l'Université de Liège and a student monitor at the University of Liège.
He holds a Master of Science in electrical and electronics engineering, with a minor in computer engineering, from the University of Liège, and a Master of Science in telecommunications engineering from the Universidad Politécnica de Madrid. He also completed a deep learning summer school certificate at the University of Deusto and the Self-Driving Car Nanodegree Program at Udacity.
Career history
In the news
- I’m heading to Burning Man for the fifth time next week. People sometimes ask how that squares with running engineering projects for industrial clients. For me it’s the same thing seen from a different angle. → Everything out there is built by someone. Enormous structures, mutant vehicles, sound systems, interactive art. Built by volunteers, on a deadline, in a hostile environment, with no chance to iterate once it’s up. That’s a harder set of engineering constraints than most factory installs. → There’s no market. No money
- 90% of industrial AI projects never make it into production. Only 7% of industrial companies use AI beyond a pilot. Those two numbers sum up most of my job. I sat down with Olaf for the Perspectives IA podcast to talk through a decade of building systems that see and act: slow-motion broadcast at EVS, counter-drone turrets at FN Herstal, autonomous forklifts, defect detection in metal 3D printing, and now COREMATIC Europe. The red thread has always been the same, making robots react to what they see. A few things we covered: → Why
- Before computer vision for factories, I did it for drone defence. In this interview excerpt for Perspectives IA , I talk about my time at FN Herstal, working on remote-operated turrets. The job: detect a drone in the sky, track it, predict where it’s going, and when you fire, hit it. Not next to it. Detection, multiple object tracking, prediction. Different domain from industrial inspection today, but the same core problem: turning noisy sensor data into a decision reliable enough to act on in real time. I led the computer vision
- Robots building robots. Real, but not the way science fiction sold it. In this interview excerpt, I talk about humanoid robots that already take part in building other robots. The nuance matters: → This is not self-replication. Raw materials, electronics, batteries and structural parts still come from a full industrial supply chain. → What exists today: inside a controlled production cell, a humanoid receives pre-manufactured parts and performs assembly steps. Picking, orienting, inserting, fastening. The example I mention is Unitree
- On recrute chez COREMATIC Europe ! 🚀 Deux postes ouverts à Liège pour les fans de tech, d’IA, et de projets qui bougent : 👁️ Ingénieur Vision 🤖 Ingénieur en Robotique Tu veux transformer des pixels en solutions concrètes ou donner vie à des robots intelligents ? Tu veux bosser sur des projets qui font sens, avec une team cool et engagée ? Alors viens faire un tour chez nous. 😎 Un nom, un CV, une reco, ou juste un petit mail ? 💌 Postulez sur les jobs LinkedIn ou envoyez un message à quentin.raffray@corematic.eu Descriptions de
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