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
- Explainable and Responsible AI - Patrick Loiseau & Marie-Christine Rousset
- Knowledge communication and evolution - Jérôme Euzenat
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)