August 29th - September 2nd, 2022


Second Inria-DFKI European Summer School on AI (IDESSAI 2022)


DFKI & Inria


Co-organized by: Inria, DFKI
Contact us:


IDESSAI 2022 was designed for PhD students in all areas of AI. PhD students in other fields, MSc students, postdocs, and researchers in academia and industry are also welcome. It is planned as a fully in-person event, which will take place at the University of Saarbrücken, Saarland, Germany.


• Titouan Vayer (ENS Lyon) – Compressive learning and sketching for large-scale machine
• Sophie Quinton (Inria) – A holistic perspective on IT sustainability

Trusted AI Track:
• Martin Georg Fränzle (University of Oldenburg) – AI components for high integrity, safety-critical cyber-physical systems: chances and risks
• André Meyer-Vitali (DFKI) – Trustworthy hybrid team decision support
• Caterina Urban (Inria) – Formal methods for machine learning
• Freddy Lecue (Thales & Inria) – Explainable AI: a focus on machine learning and knowledge graph-based approaches
• Oana Goga (CNRS) – Security and privacy issues with social computing and online advertising

Sustainable AI Track:
• Silviu-Ioan Filip (Inria) – Tools for DNN quantization
• Olivier Sentieys (Inria) – Hardware accelerators for DNNs
• Christoph Lüth (DFKI Bremen) – An introduction to the RISC-V ISA
• Richard Membarth (DFKI Saarbrücken) – Code optimization via specialization
• Anne-Laure Ligozat (ENSIIE) – Carbon footprinf of AI
• Danilo Carastan dos Santos (Inria) – Measuring the energy consumption of AI
• Daniel Beutel (Adap) – An Introduction to federated learning with Flower


Registration deadline: May 23rd, 2022

Our fees are all-inclusive except the accomodation.
To ensure a good balance in the number of participants and instructors and maximize the chances of interaction, the number of attendees is limited to 50 per track. Applicants will be selected on the grounds of diversity and benefit gained from attending the selected track.


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