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