Data and Algorithms for an Intelligent and Sustainable City



The teams of the laboratory

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 transverse axes

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.

Latest publications

07 June 2021

A Graph-Based Similarity Approach to Classify Recurrent Complex Motifs from Their Context in RNA Structures

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23 April 2021

Micro-environment recognition in the context of environmental crowdsensing

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18 March 2021

Performance evaluation of green IT networks

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10 March 2021

Machine Learning for the distributed and dynamic management of a fleet of taxis and autonomous shuttles

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