Ezio Malis

Inria Research Director

Short biography

Ezio Malis graduated both from SUPELEC and Politecnico di Milano in 1995.

He received the Ph.D. degree in Robotics and Automation from the University of Rennes, France, in 1998.

After spending two years (1999–2000) as a Research Associate at the University of Cambridge (UK), he joined INRIA as a Research Scientist in Sophia Antipolis.

He received in 2008 the Habilitation à Diriger des Recherches in Computer Science from the University of Nice-Sophia Antipolis.

After 9 years in the ICARE and AROBAS teams, he created the team EVOLUTION at Inria Sophia Antipolis in 2009.

From 2009 til 2010 he led the EVOLUTION team to achieve technological maturity and to transfer his research work to the industry.

In 2010 he co-founded the Robocortex S.A.S. company a software editor for Autonomous Robotics and of the software AugmentedPro for Augmented Reality and IoT in industrial assembling and manufacturing tasks.

From 2010 til 2020 he was the CEO and the director of the Research and Developpement at Robocortex.

Since 2021, he is the leader of the ACENTAURI team at Inria.

His main research interests are efficient optimization algorithms (numerical analysis, quantum computing), artificial intelligence (computer vision and machine learning) and autonomous robotics (modeling, perception, decision and control) with a peculiar emphasis on sensor-based control techniques. He is author and co-author of around a hundred papers.

Awards

• Winner of the Innovation Awards of the MIDEST trade show in 2014 for the software product AugmentedPro.
• Winner of the Réseau Entreprendre Provence Alpes Cote d’Azur in 2010.
• Winner of the Galileo Masters Competition in 2010.
• Winner of the Concours national d’aide à la création d’entreprise OSEO in 2008 (now Concours d’innovation i-Lab BPIFrance).
• Finalist of the Best Vision Paper Award, awarded by the IEEE Robotics and Automation Society for the paper : A. Comport, E. Malis, P. Rives: “Accurate Quadrifocal Tracking for Robust 3D Visual Odometry”, IEEE International Conference on Robotics and Automation, 2007.
• Winner  of the IEEE Transactions on Robotics and Automation King-Sun Fu Memorial Best Paper Award, awarded by the IEEE Robotics and Automation Society for the paper : E. Malis, F. Chaumette: “Theoretical improvements in the stability analysis of a new class of model-free visual servoing methods”. IEEE Transaction on Robotics and Automation, 18(2):176-186, 2002.
• Winner of the IEEE ICRA Best Robot Vision Paper Award, awarded by the IEEE Robotics and Automation Society for the paper : E. Malis: “Vision-based control invariant to camera intrinsic parameters: stability analysis and path tracking”, IEEE International Conference on Robotics and Automation, 2002.