Assist. Prof Grégoire DANOY

Grégoire Danoy is a Research Scientist at the Interdisciplinary Centre for Security, Reliability, and Trust (SnT), University of Luxembourg. He is also the Head of the Parallel Computing and Optimisation Group (PCOG), which conducts research in parallel computing, search, and optimisation techniques to develop efficient, scalable, and robust solutions for state-of-the-art, large-scale discrete and combinatorial problems.

His research aims at designing novel artificial intelligence techniques, with an emphasis on optimisation and machine learning. His work finds applications across various domains, including cloud computing, high-performance computing (HPC), smart mobility, and unmanned autonomous systems (e.g., swarms of drones). He has published over 150 research articles in international journals (including JAIR and IEEE Transactions on Evolutionary Computation) and conferences (such as NeurIPS, AAMAS, and GECCO). He serves on the Editorial Board of Engineering Applications of Artificial Intelligence (EAAI) and has successfully advised and supervised over 10 PhD students.

He is currently the Principal Investigator (PI) of the following projects:
– 2023 – 2026 FNR / ANR INTER, UltraBO, €1.019M, Ultra-scale Computing for solving Big Optimisation Problems – with the University of Lille (France).
– 2023 – 2026 FNR / ANR INTER, ADHOC, €1.291M, High-Performance Decomposition Algorithms for Combinatorial Optimisation and Machine Learning – with the Université de Lorraine (France).
– 2023 – 2026 FNR / NCBR CORE International, SERENITY, €1.228M, SpacE data bRokEriNg optImizaTion sYstem – with Poznan University of Technology (Poland).

Some past projects include:
– 2021 – 2024 FNR CORE, ADARS – Automating the Design of Autonomous Robot Swarms, Role: PI.
– 2018 – 2021 US Navy (ONRG), HUNTED – Heterogeneous multi-swarms of UNmanned auTonomous systEms for mission Deployment, Role: co-PI.

Master in Computer Science (MICS) 

– Responsible for the Problem Solving lecture.
– Responsible for the Optimisation for Computer Science lecture.

Master in Technopreneurship (MTECH – lifelong learning) 

– Responsible of the “Smart ICT Technologies I & II” modules.
– Smart Cities lecture.
– IoT devices (latest advances) lecture.

Dr Danoy is highly involved in outreach activities, participating in events such as FNR’s Researchers at School and Researchers’ Days.
He has also led several technology transfer projects in the domain of autonomous robot swarms:
– FNR Proof of Concept (PoC), SIMMS – Swarm Intelligent Mission Systems (2019–2021), Role: PI.
– FNR Pathfinder, AURORA – Unpredictable UAV Swarms for Surveillance (2018), Role: PI.

• 2022 – ICAART: Best Student Paper Nomination.
• 2018 – US Navy (Office of Naval Research Global – ONRG).
• 2017 – IEEE CybConf: Best Paper Award.
• 2016 – ACM GECCO : Best Paper Nomination.
• 2009 – ACM GECCO : Best Paper Nomination.
• 2003 – Prize of the Revue technique Luxembourgeoise of the ALIAI (Association Luxembourgeoise des Ingénieurs, Architectes et Industriels).

• PhD Supervision Right, University of Luxembourg, Luxembourg, 2019.
• PhD in Computer Science, École Nationale Supérieure des Mines de Saint-Étienne, France, with great distinction (très honorable), 2008.
• Master’s Degree in Computer Science, École Nationale Supérieure des Mines de Saint-Étienne, France, 2004.
• Industrial Engineering Degree in Computer Science, Luxembourg University of Applied Sciences (Institut Supérieur de Technologie, IST), Luxembourg, with honours, 2003.