The laboratory's scientific project relies on the expertise and interaction of three research teams spanning research domains ranging from data to algorithms: the Ambient Data Access and Mining (ADAM) team; the ALMOST team (Algorithms and Stochastic Models); the PETRUS team (Personal and Trusted Cloud). The laboratory's scientific project is dedicated to the digital city, its applications and its consequences.
The scientific project of the laboratory structures the major part of its research activities in three transversal axes, in coherence with the federation "Computer Sciences, Human and Social (SIHS)" of the french CNRS: the axis "Mobilities and digital city", the axis "Data, justice and society" and the axis "Energy and sustainable city". The laboratory also maintains a multi-disciplinary activity with biology, chemistry and astronomy.
06 July 2021
HInT: Hybrid and Incremental Type Discovery for Large RDF Data Sources
06 July 2021
Practical Fully-Decentralized Secure Aggregation for Personal Data Management Systems
07 June 2021
A Graph-Based Similarity Approach to Classify Recurrent Complex Motifs from Their Context in RNA Structures
23 April 2021
Micro-environment recognition in the context of environmental crowdsensing