Over the past years, Internet of Things (IoT) has been gradually making up essential parts of our life whether as autonomous vehicles, smart homes or other forms. The main job of IoT devices is data collection. Data collection can be considered as the building block of IoT. In the current IoT architecture, the data collected […]

The research aims to develop a device technology and software to recover surface information from a handheld scanner. The idea is to combine pre-existing object analysis technologies with a local device capable of reconstructing an objects shape from data collected by simple (shelf component) electronics as the device is passed over the object in the […]

The population is rapidly ageing worldwide. In 2030, 23% of Canadians will be 65 years or older, a demographic shift accompanied by an increase in age-related health problems bringing about social challenges requiring innovative solutions. AI driven technologies are presented as promising avenues both for individualized health monitoring and self-management and to facilitate social participation […]

Les actifs, qu’ils soient des machines industrielles, les équipements médicaux, des bâtiments, des équipements informatiques, des infrastructures de transport, etc., ont une durée de vie. Malgré la variabilité de leur performance au cours de leur cycle de vie, les gestionnaires souhaitent que ces actifs conservent leur valeur marchande au maximum tout en minimisant les coûts […]

The proposed research project is aimed at developing an automated MR-processing pipeline for pre-clinical neuroimaging. This pipeline will address some of the existing issues associated with current methodologies, and has the potential to re-define the world of early drug development, particularly relating to the assessment of neurotoxicity.

Clinicians’ ability to detect abnormal eye-movements has powerful implications for the diagnosis, monitoring of disease progression and evaluation of therapeutic outcomes in patients with multiple sclerosis. Despite the advantages of the oculomotor assessment, standard clinical practices are limited and do not capture the dynamic aspects of eye-movement. Sophisticated methods have been developed in the laboratory […]

Chez un donneur de sang fréquent, il arrive d’observer une chute des réserves de fer1,2. La mesure du taux d’hémoglobine dans le sang des donneurs permet aux banques de sang d’éviter de prélever un individu pour qui les réserves de fer seraient considérées comme étant faibles. La ferritine est un marqueur précoce de la carence […]

Icebergs are large masses of ice drifting in ocean under influence of winds in currents. Icebergs are important indicators of climate, they provide nutrients to the ocean ecosystem, but they are also a threat to shipping and offshore industry. Collecting iceberg shapes helps to model climate, predict iceberg drift, and protect offshore facilities and flowlines […]

Berkindale Analytics is a cloud-based company and wants to create a next-generation platform to provide both market data and packaged analytics to financial clients via direct download, interface, and dashboards accessible from a web portal. It is distinguished by its service arm that engages in data discovery, new analytics design, and ETL (“Extract, Transform, and […]

The intention of the Arch-App is to create a mobile app that utilizes geo-location and augmented reality technologies to access data (including imagery, videos, and text) on building projects throughout the city in real time. The infrastructure of the Arch-App effectively provides users a resources (ranging from historic imagery to notable interviews) and tour guides […]

Steel pipelines as key Canadian infrastructure are often exposed to various geological and environmental conditions that cause defects such as cracks, dents, and gouges in the pipe wall, which can lead to pipe fracture in pipelines, compromising the entire pipeline’s functionality and resulting in significant economic losses, environmental issues or even fatalities. There are several […]

In a number of data analytics domains, there is a need for detecting the situations when something outside of the normal conditions is happening. The goal of this project is to develop novel algorithms that learn to distinguish these normal and anomalous patterns through minimal interaction with a human user, while allowing complex data patterns […]