Laboratory of digital sciences of Nantes
Tools for Restorative and Regenerative Medicine

Organization activities

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.


With a strong scientific talent at the heart of digital sciences, this large laboratory of 450 people participates fully in the digital revolution of our society on the scientific and technical subjects it implements, but consciously of the societal challenges that this revolution engenders, while remaining curious and openminded to other disciplines.


The complexity of the research objects that we are studying also forces us to adopt a global systemic approach in which computer concerns, automatic control, signal and image processing are interwoven in order to answer the questions asked by open, interactive, communicating and ubiquitous systems. The laboratory wants to be an actor in innovation that values these objects with partners in its environment.


Research activities

The LS2N research activities are structured in

  •  5 areas of expertise

CCS – 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.

Involved teams: Commande, IS3P, PSI, SLP, STR

Contact: Jean-Jacques LOISEAU –


RPC – 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.

Involved teams: ARMEN, OGRE, ReV, RoMas

Contact: Frédéric BOYER –


SDD – 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.

Involved teams: COMBI, DUKe, Gallinette, GDD, IS3P, MéForBio, SLP, TALN, TASC

Contact: Pascale KUNTZ-COSPEREC –


SIEL – Signals, Images, Ergonomics and Languages

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

Involved teams: DUKe, IPI, PACCE, SIMS, TALN

Contact: Jérome IDIER –


SLS – 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.

Involved teams: AeLoS, ASCOLA, AtlanModels, GDD, MéForBio, RIO, STR

Contact: Jean-Marc MENAUD –

  •  5 cross-cutting themes, among them “Life sciences“ with

imaging ; neurons signal processing ; analysis of genomics data ; biological networks modelisation ; artificial organs conception ; robotization hospital equipments…


Contacts for the “Life sciences” theme: