Research projects

KM3NeT is a research infrastructure housing the next generation neutrino telescopes. Once completed, the telescopes will have detector volumes between megaton and several cubic kilometres of clear sea water. Located in the deepest seas of the Mediterranean, KM3NeT will open a new window on our Universe, but also contribute to the research of the properties of the elusive neutrino particles. With the ARCA telescope, KM3NeT scientists will search for neutrinos from distant astrophysical sources such as supernovae, gamma ray bursters or colliding stars. The ORCA telescope is the instrument for KM3NeT scientists studying neutrino properties exploiting neutrinos generated in the Earth's atmosphere. Arrays of thousands of optical sensors will detect the faint light in the deep sea from charged particles originating from collisions of the neutrinos and the Earth. The facility will also house instrumentation for Earth and Sea sciences for long-term and on-line monitoring of the deep sea environment and the sea bottom at depth of several kilometers.
 

more information on the official website, link at the bottom of the page

Development of solutions for the major cybersecurity challenges specific to Cloud environments, to ensure the confidentiality, integrity and availability of data, applications and services.

The ENDURANCE project is a European HORIZON-Euratom project started in October 2024 and selected on call for projects NRT-01-03 Safety of advanced and innovative nuclear designs. It is coordinated by Politecnico Di Milano with partners such as the SUBATECH laboratory under the triple supervision of the Institut Mines-Télécom through its engineering school, IMT Atlantique, Nantes University and the CNRS with the National Institute of Nuclear Physics and Particle Physics (IN2P3) as the main institute. With a budget of approximately €4 million and a four-year timeline, the ENDURANCE project, is designed to support technological development of Molten Salt Reactor (MSR) in Europe.

The APRENDE project is a European HORIZON-Euratom project started in October 2024 and selected on call for projects NRT-01-06 for improved nuclear data to ensure the safety of both energy and non-energy applications of ionising radiation. It is coordinated by CIEMAT, Spain with partners such as the SUBATECH laboratory under the triple supervision of the Institut Mines-Télécom through its engineering school, IMT Atlantique, Nantes University and the CNRS with the National Institute of Nuclear Physics and Particle Physics (IN2P3) as the main institute. With a budget of approximately €4.7 million and a four-year timeline, the APRENDE project has the ambition to improve nuclear data for Modelling and Simulation (M&S) tools used by European stakeholders in the highest priority application areas of the European Union and its member states.

In healthcare, cybersecurity is at the heart of the challenges of artificial intelligence (AI) empowered by massive multiscale data and new medical practices. It is also imposed by means of a complex broad set of strict ethic and legislative regulations. On one hand, the security of data should be ensured whatever their nature, transmission, processing and transformations they went through. On the other hand, methods that will be applied to exploit these data must themselves be safe. Healthcare AI systems are considered as of high risk by EU.

The healthcare sector (public and private) generates a vast amount of data from various sources, including electronic health records, advanced imaging techniques, high throughput sequencing, wearable devices, and population health data. The use of massive datasets, or “big data,” analyzed using sophisticated machine learning algorithms, has the potential to inform the development of more effective and personalized treatments, interventions, and policies, and to improve healthcare delivery and outcomes.However, the sensitive nature of personal health data, cybersecurity risks, biases in the data, and the lack of robustness of machine learning algorithms are all factors that currently limit the widespread use and exploitation of this data. These limitations thus hinder the potential benefits that can be obtained from massive health data analysis for the individuals and society.

This project was selected by the European Commission under the “Smart Cities and Communities” call for projects. It has received funding from the European Union's Horizon 2020 research and innovation program, under grant agreement no. 731297.

The project is part of an overall strategy for urban transformation, based on rigorous impact assessments, and aims to deliver tangible benefits for citizens.
With a duration of 5 years (2016-2021), it benefits from a European grant of €18M for the 30 partners from 6 European countries collaborating on the implementation of 3 “Smart City” demonstrators in Nantes, Hamburg and Helsinki.
 

A hardware infrastructure for the scientific study of the intersecting issues of IT infrastructures supporting artificial intelligence (from the IoT to the Cloud) and their energy consumption.

MATISSE is a European HORIZON-KDT-JU research project bringing together over 30 partners from 7 countries in order to develop an advanced approach for efficient engineering and validation of industrial systems using Digital Twins (DTs). By integrating DTs with state-of-the-art technologies, MATISSE aims to better simulate, test, and predict system behaviours. This innovative approach helps companies optimise their industrial processes, reduce errors, and boost productivity, ultimately simplifying complex operations. To this end, MATISSE proposes to create a framework incorporating methods and tools for the efficient and continuous engineering and validation of industrial systems that are supported by DTs. The project notably leverages the advantages of model-based, data-driven, and cloud techniques to enable validation and verification services that improve productivity and quality significantly.

Because of their necessary openness and economic value, networks are prime targets for attackers. The HiSec project is developing new methods and tools to secure the networks of the future. 

The SuperviZ project is part of the "system security" axis of the PEPR cybersecurity program. It addresses the field of "system, software and network security". More precisely, it targets the detection, response and remediation to computer attacks, subjects grouped under the name of "security supervision".

The digitization of all infrastructures makes it almost impossible today to secure all systems a priori, as it is too complex and too expensive. Supervision seeks to reinforce preventive security mechanisms and to compensate 
 

The Train-Cyber-Expert project aims to build teaching resources, in the form of digital content and technology platforms, organized by skill block, with a view to modularity, reusability and skills-based teaching leading to certification.
These resources will be deployed by partners to enhance or reinforce their training offerings. As the core business of the academic partners is the awarding of Master's degrees (Bac+5, level 7), their main training offer will be geared towards this level of qualification. They will therefore develop a range of master's degrees, specialized master's degrees, specialized engineers in cybersecurity and post-master's degrees, with an emphasis on work-study programs to facilitate the professional integration of participants.