Laboratory of Digital Sciences of Nantes (LS2N)

Research topics

A single objective: bring together Nantes' research expertise in computer science and cybernetics to develop digital sciences, inclusive of other disciplines and taking account of the social challenges involved.

• 450 staff
• 5 partners
• 5 sites across Nantes
• 5 areas of expertise and 5 cross-functional research topics
• 22 research teams

The complexity of the research subjects studied requires the adoption of a global or "systemic" approach, in which computer science issues, automatic control and signal and image processing come together to address the questions asked by open, interactive, communicative, ubiquitous systems. The laboratory aims to be a key player in the innovation developing these subjects alongside the partners of its environment.
 

Five areas of research expertise:

Industry of the future - systems engineering, control, human factors, management, software engineering, robotics

Management of energy and environmental impact - embedded systems design, eco-design of robots, power grids, adaptable data centres

Life Sciences - medical imaging, neuronal signal processing, genomic data analysis,  biological network modelling, artificial organ design, automation of hospital equipment

Vehicle and mobility - global vehicle automation, behavioural and usage modelling, traffic optimization

Design, culture and digital society - system design for the digital society, design of new interactions and links with digital artefacts, analysis of practices and interaction with digital artefacts

Five cross-functional research topics:

Systems Design and Operation
As the design of an industrial system is closely linked to the definition of its control system, the systems design and operation topic is associated with automation, production management, industrial engineering as well as embedded and real-time systems.

Robotics, Processes and Calculation
Robots have become increasingly autonomous, interacting more and more with humans and their environment. Their future is being built according to society's and industry's expectations. This topic deals with action, perception and control as well as decision algorithms and increasingly intuitive software interfaces.

Data Science and Decision-making
Faced with ever increasing data volumetrics and their increasing complexity, classification models and research algorithms are at the heart of the " Data Science and Decision-Making" topic.

Signals, Images, Ergonomics and Languages
This topic covers the disciplines relating to signals, images, sounds, languages, written text, physiological measures and human factors.

Software and Distributed Systems Science
Based on the tremendous growth in the number and complexity of computers (objects connected to data centers) and the migration from centralized systems to distributed systems, this topic focuses particularly on programming, software and systems engineering.