Data and Algorithms for an Intelligent and Sustainable City

Activities

icon

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.

icon

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

26 March 2019

SEP2P: Secure and Efficient P2P Personal Data Processing

See the publication

13 February 2019

Optimisation of electrical network configuration: complexity and algorithms for ring topologies

See the publication

01 February 2019

Personal Data Management Systems: The security and functionality standpoint

See the publication

31 January 2019

Spatial Query Optimization and Distributed Data Server - Application in the Management of Big Astronomical Surveys

See the publication