Chairs of MIAI Grenoble Alpes

Axis 1. Machine learning and reasoning

1.1. Machine learning models
  • Towards Robust and Understandable Neuromorphic Systems - Sophie Achard (AI) & Martial Mermillod (Cognitive science)
  • Lifelong Representation Learning - Larlus & Perronnin
  • Towards More Data Efficiency in Machine Learning - Julien Mairal
1.2. Statistics and optimization
  • Large Dimensional Statistics for AI - Romain Couillet
  • High-dimensional Inference by Convex Optimisation - Anatoli Juditsky (Local) & Arkadi Nemirovski (International)
  • Optimisation & Learning - Jérôme Malick (Local) & Yurii Nesterov (International)
1.3. Fair and evolvable AI

Axis 2. Embedded and distributed AI and hardware architecture for AI

2.1. Neuro-processing units
  • Hardware for spike-coded neural networks exploiting hybrid CMOS non-volatile technologies - Lorena Anghel & Alexandre Valentian
  • Digital Hardware AI Architectures - Frédéric Pétrot
2.2. Distributed intelligence 
  • Edge intelligence - Denis Trystram

Axis 3. Perception & interaction

3.1. Robotics
  • Audio-visual machine perception and interaction for companion robots - Xavier Alameda-Pineda & Radu Horaud
  • Collaborative Intelligent Systems - Gérard Bailly (Cognitive robotics) & James Crowley (AI)
  • AI and dynamical systems: new paradigms for control and robots - Christophe Prieur
3.2. Natural language and speech processing
  • Artificial Intelligence & Language - Laurent Besacier
  • Bayesian Cognition and Machine Learning for Speech Communication - Pascal Perrier
3.3. Computer vision
  • Data Driven 3D Vision - Edmond Boyer
  • Towards self-supervised visual learning - Cordelia Schmid

Axis 4. AI & society

4.1. AI regulation
  • Legal and regulatory implications of artificial intelligence - Théodore Christakis
  • Ethics and AI - Ménissier
4.2. Integration of AI into society
  • Contextual Recommendations in Action - Bridging AI and Real-Life Economics - Sihem Amer-Yahia
  • Algorithmic society - Gilles Bastin

Axis 5. Health

5.1. Real-life 4P medecine
  • Deep Care: Patient Empowerment via a Participatory Health Project - Philippe Cinquin
  • My Way to Health “trajectories medicine” - Emmanuel Mignot (International) & Jean-Louis Pépin (Local)
5.2. Multimomics
  • Artificial Intelligence for High throughput biomedical investigations - Thomas Burger (AI) & Julien Thévenon (Medicine)
5.3. Computer-assisted medical intelligence
  • Computer-Assisted Medical Interventions (CAMI) Assistant - Jocelyne Troccaz & Sanderine Voros

Axis 6. Environment & energy

6.1. AI solutions for natural disasters
  • Detection, classification and localisation of pollutants in air and liquids -  Simon Barthelmé & Pierre Comon
  • Geophysical applications of AI for natural hazard and georesources - Michel Campillo (Geophysics) & Olivier Michel (AI)
  • Multiscale, multimodal and multitemporal remote sensing - Jocelyn Chanussot (AI) & Wilfried Thuiller (Ecology)
6.2. Optimising energy management
  • Artificial intelligence for Smart Grids - Nouredine Hadj-Said (Energy) - funded by Univ. Grenoble Alpes

Axis 7. Industry 4.0

7.1. Human-centric manufacturing
  • AI for data-driven and self-configurable supply chains - Gülgün Alpan
7.2. Predictive quality
  • Machine Learning for Materials Design & Efficient Systems - Massih-Reza Amini (AI) & Alexis Deschamps (Material science)