Tracks & Projects

Tracks & Projects

 

The five tracks structure the scientific roadmap of CominLabs. They coordinate the scientific activities of CominLabs, help the emergence of new projects, and promote the project results.

Waves, IoT & Networks

Due to strong regional expertise in the areas of communications, Internet of Things (IoT), and networks, the actors of the CominLabs territory are very active in these areas. The « Waves, IoT & Networks » track covers a wide spectrum. CominLabs develops through numerous project activities ranging from antennas, signal transmission, and reception, to digital data transmission and coding. The domains of application are vast as soon as the need arises to communicate data or to make elements communicate between them. The Internet of Things is a growing challenge, especially with the deployment of 5G, due to the multiplication of connected and communicating objects. An important objective is to design infrastructures that are increasingly efficient and effective, with better connectivity, lower latency, while taking into account energy consumption and security issues.

Projects for the period 2020-2024

 

DATERAC

Development and Applications of Exploratory Technologies for the Reconfiguration of Antennas and Microwave Devices

WASSAP

Wireless at sub-millimeter waves: signals, antennas and photonics

Projects for the period 2012-2019

 

M5Hestia

mmW Multi-user Massive MIMO Hybrid Equipments for Sounding, Transmissions and HW ImplementAtion

BoWI

Wireless wearable sensors for posture and gesture recognition

Intercom

Interactive communication with new compression techniques and massive random access to data

Sherpam

Sensors for health recording and physical activity monitoring

BBC

On-chip wireless broadcast-based parallel computing

Descent

Plug-based decentralized social network

Pervasive RFID

Software and antenna solutions to improve the reliability of RFID reading

3D Many-Core

3D many-core architectures based on optical network on chip

Epoc

Energy proportional and opportunistic computing systems

Reliasic

Towards next generations of architecture and design flow to perform signal processing applications

Sherpam

Sensors for health recording and physical activity monitoring

TEPN

Toward energy proportional networks

 

 

Trust, Privacy & Security

Due to the development of the digital society, it has become essential to guarantee the security and protection of confidential and private data. Brittany has a rich ecosystem in this field. The track « Trust, Privacy & Security » brings together computer scientists, mathematicians, and lawyers to address all the issues involved in these challenges.

Projects for the period 2012-2019

 

SecCloud

Security and cloud programming

Profile

Analyzing and mitigating the risks of online profiling

Poseidon

Protection of outsourced or mutualized data and content

PrivGen

Privacy-preserving sharing and processing of genetic data

H-A-H

Hardware and arithmetic for hyperelliptic curves cryptography

HardBlare

Hardware and software information flow control

Kharon

Discovering Android malware with information flow monitoring

 

 

Data, AI & Robotics

The track “Data, AI & Robotics” aims to address three major trends of the digital society: the ubiquity of data, the increasingly widespread use of artificial intelligence, and more recently the diversification of robotics. These three areas have strong links, in particular through machine learning and data science.

Projects for the period 2020-2024

 

MAMBO

Manipulation with multiples drones for soft bodies

dnarXiv

The dnarXiv project aims to explore data storage on DNA molecules

DynaLearn

Dynamical modeling for machine learning

Projects for the period 2012-2019

 

Limah

Linking media in acceptable hypergraph

SEACS

Stochastic model-data coupled representations for the analysis, simulation, and reconstruction of upper ocean dynamics

Sesame

Management and exploitation of AIS & sentinel satellite data flows for maritime traffic monitoring

DynaLearn

Dynamical modeling for machine learning

 

 

ICT for Precision Medicine

The objective of the track “ICT for Medicine” is to leverage the diversity of skills and expertise present in CominLabs territory with a broad and multidisciplinary vision. Projects may be concerned with diagnosis (using imaging techniques in particular), modeling (to understand complex phenomena), intervention (patient imaging and virtual reality to prepare and plan a surgical intervention), and therapy (image-guided surgery, radiotherapy control).

Projects for the period 2020-2024

 

Affinity

Assessing and quantifying the behavior of ASD people in presence of their affinity

PK-STIM

Rewiring dysfunctional brain circuits with personalized stimulationp>

 

Projects for the period 2012-2019

 

Hemisfer

Hybrid EEG-MRI and simultaneous neuro-feedback for brain rehabilitation

Neural Coding

Identification of cortical networks from high-resolution EEG: application of the mental information therory

Neural Communication

Exploring the dynamic aspects of mental information theory at the millisecond scale

Predictive

Predictive models for patient personalized treatment management

 

Rampart

Radiomics and modeling for prostate radiotherapy

S3PM

Synthesis and simulation of surgical process models

BigClin

Big data analytics for unstructured clinical data

Sabre

Seizing advances in BCI from high resolution EEG imaging in runtime

Sense

Sparse neural coding & bionic vision system

 

 

AI for Education

Given the changes in education and training, as well as the need for performance, speed, and optimization, integrating Artificial Intelligence into this sector is a necessity. The track “AI for Education” brings together researchers from the digital sciences and the humanities and social sciences. These researchers interact with the actors of this field: pupils, students, teachers, and analyze users’ behaviors.

Projects for the period 2012-2019

 

COCo

Diffusion of knowledge through annotated educational resources focused on video

eFill

e-Feedback for interactive lecture

Sedela

Self-data for enhancing lifelong learning autonomy

3D-MOOC

3D-MassiveOnlineOpenCourses, an open library of granular process able 3D contents

 

 

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