Expertise and research topics

• DATA COLLECTION AND TRANSMISSION :

From the development of electronic sensors and micro-power communication systems to the physical transmission of resulting signals (notably via optical fibre), and the analysis, design and modelling of Internet routing architectures and services, the entire course of data is the subject of advanced research at the institute.

• BIG DATA AND CLOUD COMPUTING :

The storage of a mass of information of varied quality and the use of treatments requiring very high performances is central to the Institute’s research. As such, it has a particular research activity in the field of parallel and distributed computing, as well as in the structuring of large and/or distributed databases and the processing of difficult-to-interpret data.

• AI, Machine Learning and Deep Learning :

This theme focuses on the processing and analysis of large quantities of data and is based mainly on the development of algorithms for optimisation, classification, prediction, collaborative recommendation and multicriteria decision support, especially in the field of logistics.

• SOFTWARE AND ALGORITHMIC ENGINEERING :

This theme focuses on the development of techniques for the verification and analysis of software quality, the modelling of software systems and the implementation of complex algorithms in graph theory.

• SIGNAL PROCESSING :

The institute specialises in the processing and analysis of audio, visual and multimedia signals, and covers many fields of application, such as creative technologies (in collaboration with the Numediart Institute), logistics and medical imaging.

• EDUCATION TECHNOLOGIES :

This theme aims to develop research projects at the Faculty of Psychology, relating to the integration of ICT in education and the analysis of their impact (educational devices and technologies, system design and training plans, educational policy analysis, evaluation of learning and systems, etc.).

Note that a new leading research axis of the Institute is the Internet of Things (IoT), or a world of smart and connected objects, leading to a rich interaction between the various aforementioned themes.