Scholar
Ezio Malis
Google Scholar ID: sTCQLL8AAAAJ
Inria
Citations & Impact
Citations
1,320
H-index
19
i10-index
26
Publications
20
Co-authors
21
list available
Contact
Resume (English only)
Academic Achievements
- Author and co-author of around a hundred papers; winner of the Innovation Awards of the MIDEST trade show in 2014 for the software product AugmentedPro; winner of Réseau Entreprendre Provence Alpes Côte d'Azur in 2010; winner of Galileo Masters Competition in 2010; winner of Concours national d'aide à la création d'entreprise OSEO in 2008 (now Concours d'innovation i-Lab BPIFrance); finalist for Best Vision Paper Award by IEEE Robotics and Automation Society for the paper 'Accurate Quadrifocal Tracking for Robust 3D Visual Odometry'; recipient of the IEEE Transactions on Robotics and Automation King-Sun Fu Memorial Best Paper Award for the paper 'Theoretical improvements in the stability analysis of a new class of model-free visual servoing methods'; also received the IEEE ICRA Best Robot Vision Paper Award for the work 'Vision-based control invariant to camera intrinsic parameters: stability analysis and path tracking'.
Research Experience
- Worked as a Research Associate at the University of Cambridge (UK) from 1999 to 2000; joined INRIA as a Research Scientist in Sophia Antipolis in 2000; created the EVOLUTION team at Inria Sophia Antipolis in 2009; co-founded Robocortex S.A.S. in 2010, focusing on Autonomous Robotics and Augmented Reality/IoT for industrial applications; served as CEO and Director of R&D at Robocortex until 2020; since 2021, leads the ACENTAURI team at Inria.
Education
- Graduated from SUPELEC and Politecnico di Milano in 1995; received Ph.D. in Robotics and Automation from the University of Rennes, France, in 1998; obtained Habilitation à Diriger des Recherches in Computer Science from the University of Nice-Sophia Antipolis in 2008.
Background
- Research interests: efficient optimization algorithms (numerical analysis, quantum computing), hybrid artificial intelligence (combination of rule-based and data-driven approaches), and autonomous robotics (modeling, perception, decision, and control) with a particular emphasis on sensor-based control techniques.
Miscellany
- Contact information includes email address, office location, and telephone number.
