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.



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


Wireless wearable sensors for posture and gesture recognition


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


Sensors for health recording and physical activity monitoring



On-chip wireless broadcast-based parallel computing


Plug-based decentralized social network

Pervasive RFID

Software and antenna solutions to improve the reliability of RFID reading



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.



Security and cloud programming


Analyzing and mitigating the risks of online profiling


Protection of outsourced or mutualized data and content


Privacy-preserving sharing and processing of genetic data



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.



Linking media in acceptable hypergraph


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


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


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).



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 models for patient personalized treatment management



Radiomics and modeling for prostate radiotherapy


Synthesis and simulation of surgical process models


Big data analytics for unstructured clinical data



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.



Diffusion of knowledge through annotated educational resources focused on video


e-Feedback for interactive lecture


Self-data for enhancing lifelong learning autonomy


Scrub nurse non-technical skills training system



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