Improving the clinical oculomotor assessment for patients with multiple sclerosis

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 […]

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Développement et qualification d’une approche de type point-of-care (POC) pour le dosage de la ferritine plasmatique par résonance des plasmons de surface (SPR)

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 […]

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Multibeam echosounder noise classification using machine learning

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 […]

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High-frequency financial forecasting

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 […]

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Arch-App

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 […]

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Test-based Fracture Criteria for Pipeline Steels

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 […]

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Sequential anomaly detection with labelingcosts

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 […]

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Treaty 7 Women’s Research Initiative

The goal of the CFT7 Womens Research initiative is to discover labour market interests of Indigenous women within the Treaty Seven territory. The objective for the interns will be to assist the project coordinator with the development of a questionnaire that will be used to gather information from the Treaty Seven communities. The interns will […]

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Nanomaterials Based Electroencephalography Electrodes for Auditory Attention Decoding in Hearing Assistance Devices

This project aims to form a collaboration between Queen’s University with AAVAA Inc. AAVAA is developing hearing aids with capability of attention detection decoding by recording and analyzing brain waves, which are recorded non-invasively through the skin around the ear and within the ear canal. One of the main components of this system contributing to […]

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Localized node-based collection of wastewater samples for molecular monitoring of public health markers

Wastewater testing can measure levels of COVID-19 in a population that is contributing to the sewer system being monitored. This testing provides an early warning signal of the burden of COVID-19 in municipalities, independent of clinical testing. Calgary based start-up company C.E.C. Analytics (CEC) has developed a compact wastewater autosampler that enables this kind of […]

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Improving Cognitive and Collaborative Support for Security Threat Hunters

Threat hunters play a critical role in ensuring the security of Canadian corporate and government agency systems. Threat hunters monitor how data, systems, and networks are accessed to be aware of possible threats that may occur before systems or data sources are compromised. Working in teams, threat hunters generate hypotheses and proactively analyze massive amounts […]

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