Micro-Electro-Mechanical Systems (MEMS) are complex systems with sizes in the range of few microns (human hair has thickness of 150-200 microns) which have both mechanical and electronic components. MEMS technology has entered in many industries such as optical technology, point of care diagnostics, telecommunications, automotive, and military. Today, there are hundreds of MEMS devices, e.g. […]

Municipalities in Quebec lack tools to effectively anticipate and manage the consequences of beaver dam outburst flooding. When beaver dams fail the resulting flooding can pose a major threat to public safety and public and private infrastructure. A research project lead by Dr. Jan Franssen in partership with OBV RPNS and its Municipal partners is […]

The availability of big data in smart infrastructures have become a strategical asset for operators to understand the situation of the infrastructure and monitor potential threats. However, most of the data still have not circulated beyond traditional corporation and technological boundaries, which have limited the visibility that could have been provided by the abundant data. […]

Penetration testing is a key security tactic, where defenders thinks like an attacker to predict the latter’s actions and develop effective defense. However, for large-scale cyber-physical infrastructures like the smart grid, traditional penetration tests on individual devices or networks are insufficient to exhaust all potential exploits or to reveal infrastructure-level vulnerabilities invisible to the local […]

The objective of this project is to develop a software system which can optimally control the base station sleep states in 5G networks to save energy. The 5G wireless networks are required to be green and yield very low carbon dioxide emissions. Compared with that of 4G wireless networks, the power efficiency of 5G is […]

The latest artificial intelligence (AI) technologies have effectively leveraged the wealth of data from cyber-physical systems (CPSs) to automate intelligent decisions. However, for safety-critical CPS like smart grids and smart cities, the conversion of massive data into actionable information by the AI must be not only effective but also reliable. To this end, this project […]

Le secteur des soins de santé personnalisés (SSP) soulève de nombreux défis en matière d’adhésion, d’intégration et de réglementation. Il est alors nécessaire de faire l’état des défis et des enjeux concernant les SSP dans le système de santé. Lorsqu’on parle d’intégration ou d’adhésion des SSP, on fait référence à leur utilisation par les professionnels […]

Artificial intelligence (AI) has transformed our way of perceiving and interacting with technology, by providing state-of-the-art solutions for challenging problems across the tech-spectrum. The main objective of this cluster of projects is to investigate, develop, adapt, integrate and evaluate state-of-the-art machine learning (ML) techniques, which are suitable for modeling and prediction using datasets collected for […]

La modelisation des couts par assure en assurances dommages constitue la base du processus de tarification. Les couts peuvent provenir des trois couvertures d’un contrat d’assurance automobile dommages materiels au vehicule,dommages corporels subits par I’assure et dommages corporels subits par les tierces parties. Bien qu’un accidentpeut engendrer des couts pour ces trois couvertures, la modelisation […]

L’imagerie cone beam CT (CBCT) prend une place de plus en plus importante dans l’exploration des structures osseuses du complexe dento-maxillo-facial. Cette modalité d’imagerie, moins irradiante que l’imagerie par tomodensitométrie conventionnelle (TDM), procure des images de qualité similaire, voire supérieure, à celle des images TDM. Toutefois, les rapports Signal/Bruit ne sont pas assez élevés, et […]

The goal of this project is to develop machine learning and data mining algorithms relying on non-intrusive common sensor data to estimate and predict smart buildings’ occupancy and activities. Efficient feedbacks are automatically supplied to the end user to involve occupants and increase their awareness about energy systems. This consists of generating reports helping the […]

The project will help Optina validate and further develope a novel technology to predict the presence of significant amyloid (A?) deposition in the brain from a simple, non-invasive hyperspectral retina scan in combination with an artificial intelligence algorithm. Accumulation of A? plaques in the brain is a key hallmark of Alzheimer’s disease (AD), but current […]