Using Translation Models to Decode Overt Speech from BCI

Creating speech neuroprostheses, or devices that can help restore the ability to speak to people who have lost it due to neurological damage or disorder is extremely important because it can greatly improve the quality of life for these individuals. Despite this, there has not been a widely successful solution to this issue yet because […]

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Liver transplant dashboard application

My project’s goal is to create an efficient application that would demonstrate the prediction of the survival and mortality risks of a certain patient generated by a deep learning algorithm, and provide doctors with all the relevant data surrounding this prediction. I am going to work on the ways to implement this application into doctors’ […]

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A Smart Prosthetic Liner

Lower limb prosthesis users typically wear a silicone liner on their residual limb, which is the interface between their body and the prosthetic socket. Knowing the in-socket pressure distribution is extremely beneficial in ensuring proper socket fit and thus better gait and higher quality of life for amputees, considering the need of amputees for a […]

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Expanding the product spectrum of anaerobic digestion for a circular economy

Canada has enormous potential to recover renewable energy and chemicals from over 18 million tonnes of waste generated annually while simultaneously reducing greenhouse gas (GHG) emissions associated with landfilling that account for 13% of national methane emissions. The proposed project will develop the fundamental science and technologies needed to realize sustainable waste to chemicals manufacturing […]

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Flow-through uroflow for the assessment and management of lower urinary tract symptoms

Uroflow is an important tool in the urology clinic for assessing and managing lower urinary tract symptoms (LUTS). These include things like urinating very frequently or difficulty with your stream. Uroflow typically involves urinating into weight-sensing collection vessel that records urine flowrate. Although non-invasive, these systems have limitations. Patients typically undergo testing in uncomfortable and […]

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Novel fuel cell materials and designs for high performance

Polymer electrolyte membrane fuel cells are a promising solution to addressing climate change, as they can produce emission free energy on demand using hydrogen as fuel. Despite their benefits, many challenges remain in the way of widespread commercialization of these devices. Specifically, components such as the gas diffusion layer (GDL) and catalyst coated membrane (CCM) […]

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The effect of annealing on the deformation and impurity segregation mechanisms in electrodeposited nanocrystalline NiCo alloy

Fully dense nanocrystalline alloys have high strength, hardness, and wear resistance due to their extremely fine (nano) crystals. This makes them of significant interest in different industrial applications which require excellent mechanical properties. A new nanocrystalline nickel-cobalt (NiCo) alloy, currently being developed with Integran Technologies Inc, Mississauga, Ontario, has a good combination of strength and […]

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Bioactive nanoparticles-based domiciliary oral gel with antimicrobial, immunomodulatory and antioxidant activity for periodontal therapy

Periodontal diseases are among the most common diseases in the population. According to the Canadian Dental Association, around 7 in 10 Canadians suffer from some form of gum disease at some point in their lives. They are characterized by inflammation and destruction of tooth supporting structures. Their progression is determined by the interaction between microbes […]

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Predicting falls based on a 2-minute walk test

Falls are the leading cause of injuries in older adults. Identifying older adults with risk for falls prior to discharge home from the Emergency Department (ED) could help direct fall prevention interventions, yet ED-based tools to assist risk stratification are under-developed. The aim of this study was to compare the performance of our proposed machine […]

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Universal Graph Embeddings for Transaction data

Here at Mastercard, we have a transaction data where an account (card holder) transacts at a merchant, this data can be viewed as a Bipartite Graph of account and merchant nodes, where each edge represent a transaction between them. We have multiple models/tasks that provide predictive intelligence at an account level, e.g., predicting an account […]

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Complex Network Data Analysis for Systemic Risk Management and Loss Prevention

Financial fraud is a very serious problem plaguing financial institutions. Recent advances in information technology have only exacerbated this problem. Poor risk models were at the core of the 2008 financial crisis. Complex networks, structured graphs, are powerful models for representing higher-order interactions or dependencies within data sets. Graphs are relational models of covariates, where […]

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