Quantum Random Number Generation (QRNG) is a promising technology to provide true randomness as a service for many computing uses, such as cryptography. The company Quantum eMotion develops an affordable product called QNG2 which offers quantum random number generation in a compact device (i.e., PCIe card) which can easily be used in any standard PC […]

Dandelion technology solves the speed and scalability problems of current blockchain using a new physical paradigm to build the most efficient, open distributed network, with a finalization cost of $.00001 per event. The proposed project is aimed at adding smart contract and sharing functionality to the Dandelion network, improving cryptographic efficiency with aggregable signatures under […]

Ce projet de recherche vise à concevoir un modèle de prévention du COVID-19 basé sur les techniques d’Intelligence Artificielle (IA) et de l’internet des objets (IoT). Les données physiologiques seront obtenues des dispositifs intelligents et des bases de données virtuelles. Ces systèmes serviront pour le développement d’un outil de mesure et d’observance des indicateurs chez […]

Le résumé des opinions des clients est une tâche essentielle pour un entreprise dans une ère où le consommateur se fait un avis au travers des recommandations de ses pairs. L’objectif du projet est alors de fournir une représentation générale, informative, et contenant des avis objectifs et constructifs de ces opinions. Pour cela nous proposons […]

Access to private or leased land is currently not a simple problem. Landowners would like to know who is on their land, when, and for what purpose. Getting permissions from landowners to use their land is often not straight forward; often leading to bypassing obtaining permission. Some landowners do not want hunters, but do not […]

Cloud computing offers virtually unlimited resources in CPU, memory, and bandwidth, under a service agreement scheme. Operators leverage on this model to achieve economies of scale, by hosting as much customers as possible on such infrastructure. The detected gap is that the Communication Service Providers (CSP) must take into consideration trust as a parameter into […]

With the rapid growth of sensors in Cyber-Physical Systems such as clinical data, industrial systems and data centres, there is an increasing need to monitor these devices to secure them against anomalies. This is particularly the case for streaming clinical data. Indeed, the timeliness revelation of anomalies in these data can save the patient’s life. […]

In this project, we will develop innovative AI tools to speed up the process of catalyst discovery, in particular in the domain of renewable energy. Specific catalysts are essential to applications such as the efficient synthesis of solar fuels and fertilizer. However, many known catalysts are suboptimal in their efficacy or require scarce elements. Currently, […]

An individual’s voice is unique due to a combination of their physical and social characteristics. For children who present with complex communication needs (CCN), sometimes the only functional way to communicate is by using an augmentative and alternative communication (AAC) device. AAC devices with speech output capability are known as voice output communication aids (VOCAs). […]

The roadmap for 5G networks is already taking shape due to several industrial and academic research efforts. 5G networks are expected to support more diversified services, which should create exciting business opportunities in many vertical sectors. Achieving this requires improving the technologies behind the evolution of 5G and leveraging machine learning (ML)/artificial intelligence (AI) techniques […]

This project is a collaborative endeavor of researchers (6 supervisors, 3 PhD students and one postdoctoral fellow) which will be either members or visitors of the incoming “International Laboratory on Learning Systems” (ILLS) of the CNRS (starting in early 2022) with Université Paris-Saclay, McGill University and École de technologie supérieure (ETS). We will develop rigorous […]

This project is a cross-disciplinary study of econometrics and machine learning (ML) models applied to the decision making modelling in industry. The problematic arises from the lack of tools supporting the transition to circular economics model and the need to identify the key factors to influence this transition. The project aims to explore the key […]