CEO

Trimac faces a challenge in developing quality customer leads for our financial offering. The process we currently employing is tracking news published in industry newsletters and finding contact information for companies in the news item. This approach has been somewhat successful but improvement is warranted as it certainly has not identified the full universe of […]

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Insole-based sensor fusion for ambulatory gait analysis for occupational health & safety

MEGA InTech aims to maintain healthy workers and prevent injuries. This research will advance a smart insole to deliver analyses of ambulatory gait and posture. Specifically, signal processing and sensor fusion algorithms to deliver detailed metrics of gait and occupational ergonomics will be developed. The proposed methodology will leverage the partner’s prototype insole sensor hardware […]

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Assessment of current vision-based machine learning modelling efforts in directed energy deposition on defect prediction

Metal-based direct energy deposition processes ideally require feedback sensing of the deposition quality using camera detectors as they provide spatial and temporal state signatures of the process. Image processing algorithms are challenging to develop due to changing process operating conditions. Machine learning models have recently gained in popularity due to their ability to predict process […]

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Deep Breathe Interns Fall 21

Lung ultrasound (LUS) is a portable, non-ionizing imaging method with high accuracy for numerous respiratory conditions.1-3 These properties allow LUS – unlike other lung imaging techniques – to be delivered at scale and outside of traditional healthcare environments that may allow for broadly distributed diagnosis, triage or prognosis of respiratory conditions.4–11 As training for LUS […]

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Examining the feasibility and potential impact of a clinical innovative software tool to support pharmacists for minor ailment prescribing

Pharmacists are providing increasingly patient-centered clinical services such as Pharmacists Prescribing for Minor Ailments (PPMA). However, several factors delay pharmacists’ ability to implement PPMA including integration with workflow and time constrains. Technology solutions aim to support PPMA can be important innovative tools to help pharmacists to perform PPMA. The aim of this project is to […]

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Factorisation Matricielle Nonnégative rapide dans des espaces de Hilbert

La factorisation matricielle nonnégative (FMN) est une méthode populaire d’analyse de données consistant à exprimer les données comme une combinaison linéaire nonnégative d’un petit nombre de facteurs caractéristiques nonnégatifs. Cela permet de réduire la taille des données, de filtrer le bruit présent dans celles-ci et de mieux les comprendre et les analyser. Cette technique possède […]

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Anaerobic Bioaugmentation of a PHC Groundwater Plume: Pilot-Scale Experiment

Bacterial cultures are sometimes added to groundwater to increase the rate of degradation of contaminants. Three cultures that are able to completely biodegrade their primary compound to non-toxic end products in the absence of oxygen have been enriched from contaminated soils. The goal of this project is to demonstrate the efficacy of these cultures in […]

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Preventing Sexual and Dating-Based Violence on GSNAs

Sexual assault support centres and services across Canada are working to adapt their resources to the reality that an increasing number of young Canadians are meeting romantic and sexual partners through geo-social networking apps (GSNAs): dating and hook-up apps like Tinder and Bumble. Combined, the world’s top four GSNAs have over 90 million users. While […]

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Verification of Smart Contracts for Security Properties Rooted in Computational Complexity

Smart contracts are digital code similar to physical contracts, but hosted, executed and guaranteed by a trusted network called a blockchain. They are a significant step forward in the specification and enforcement of contracts because they can be executed and their conditions enforced much faster than physical contracts. A significant technical issue regards the verification […]

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Applications Of Data-Driven Analytics and Decision-Making Optimization for Solar-powered Energy Hubs Integrated With Electrical Vehicles

The worldwide urge to seek solutions for global warming and its negative environmental impacts, has driven the increased adoption of renewable energy resources and electric vehicles (EVs). This increase in the share of renewable energy generation and EV users has widened the implementation of distributed energy resources (DERs) systems and encouraged the move towards developing […]

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Responsible roadmap: Informing road disturbance development decision-making in the Athabasca Oil Sands Region through process-based knowledge.

In the Athabasca Oil Sands Region (AOSR) of Alberta, boreal peatland ecosystems are becoming increasingly fractionated by linear disturbances associated with resource exploration and subsequent extraction. Roads, for example, have the potential to alter peatlands through changes to flow regimes, runoff generation to downstream aquatic systems, and carbon sequestration. The heterogeneous geology in the AOSR […]

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Stress State and Probabilistic Assessment of Slip Potential during Geothermal Energy Development, Grande Prairie, AB

The state of stress in depth is an important parameter for subsurface project. One of the applications of knowing the stress state is understanding induced earthquake pattern arising from geothermal energy extraction. Fault slip due to fluid injection (for energy extraction) into underground deep geological layers constitutes an environmental and potential risk issue if induced […]

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