Low Cost Eye-Tracking Data Analytic System for Vision Therapy

A significant percentage of children around the world are affected by vision problems, such as lazy eye, that cannot be fixed by eyeglasses. When left untreated, vision problems may lead to learning difficulties. Vision therapy offers treatment to many of these problems where eye-trackers are tools used to diagnose and measure the progress of patients […]

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The Relationship between Psychophysiological Measures of Emotion and Applied Effort

Physical inactivity is a major public health concern. While this is a multifaceted issue, one approach to increase interest and engagement in exercise is to make it more immersive. Previous research has shown that emotionally driven content can increase the overall experience as well as an individual’s performance during exercise. However, the relationship between emotionally […]

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Seismic Assessment of High-Density Polyethylene (HDPE) Lift Stations

Lift stations are an underground utility transporting wastewater from residential or commercial sources to wastewater treatment plants. Lift stations are defined as a post-disaster structure according to national building code of Canada, which are required to remain operational immediately after earthquakes. A wealth of evidence from historical post-earthquake reconnaissance has confirmed the excellent performance of […]

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Low cost SERS substrates with rapid manufacturing

The proposed research will develop cost-effective substrates for application in Surface Enhanced Raman Spectroscopy. The substrates will be made using self-assembly methods for nanomaterials in aqueous medium and a final step of simple filtration. The nanoscale material will provide high sensitivity as a SERS substrate for detection of specific chemicals and microbes. The developed SERS […]

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Isobody Leisure Codes: Creating a new standard for human body sizing

The current Alpha Sizing system for clothing sizes (S, M, L) has vast inconsistencies. Apart from shopper frustration, the most significant consequence of unpredictable fit is the monetary and environmental cost of unnecessary shipping and logistics. 30% of clothes are returned due to poor fit. The cost of this problem exceeds US$14 Billion annually. Furthermore, […]

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Replacing airport luggage handling infrastructure legacy materials with low-footprint alternatives: Phase I – Feasibility study

Materials circularity is becoming increasingly important for designers and manufacturers across the world, driven by a variety of factors including increased restrictions to landfill dumping through the legacy “make-take-dispose” model, through to social campaigns. The aim of this collaborative project is to perform a feasibility study on replacing current airport luggage handling infrastructure at Vancouver […]

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Multimodal Representation Learning from raw data to detect customers emotional state in the financial industry

Currently, call centres effort in this matter is largely reactive. Someone calls in, they are upset, and agents respond accordingly. However, this approach is not always most effective, especially with difficult customers. Therefore, knowing the customers current emotional state is very important for appropriate problem solving. Affective computing can be used to detect and evaluate […]

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Assessment of a novel chemical entity (TRV 1387) in the treatment of tau-related neuropathology and behavioral impairment in a transgenic mouse model of Alzheimer’s disease.

The onset of symptoms in Alzheimer’s Disease, Picks disease, progressive supranuclear palsy and cortical basal degeneration are connected to the formation of insoluble deposits of the tau protein in the brain, also known as neurofibrillary tangles (NFT). The Treventis Corporation has developed new chemicals that are designed to prevent the formation of NFT, which may […]

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Understanding the role of impurities in Made-in-Canada cathode active materials for automotive lithium-ion batteries

The reliance on raw materials from overseas to build lithium-ion batteries (LIBs) is a major concern for automotive companies building battery electric vehicles in North America. Canada’s rich Ni deposits is a potential solution to this problem. However, Canadian Ni ore are sulfides, so battery manufacturers are reluctance to use it due to possible trace […]

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Dilution prediction and reduction in underground mines based on stoping methods using artificial intelligence

Given that dilution is a problem that reduces the profit of many underground operations, the dilution monitoring, prediction, and reduction convey the capability to increase operational efficiency. The proposed research aims to develop an unplanned dilution monitoring, prediction, and reduction tool. The research methodology will be based on artificial intelligence (AI)-based models. More specifically, the […]

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Transition model for insurance risks

Car (automobile) insurance is a very common type of insurance: policyholders pay a premium to get financial compensation in case an accident happens with their cars. Insurance companies use complex calculations and a lot of information to determine the value of these premiums. More specifically, they must also consider their expectations of the future. Predicting […]

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