16 Bit Inc is a Toronto-based medical imaging AI startup that develops software-as-a-medical device (SaMD) to improve healthcare. They have a product, Rho, which is Health Canada approved for screening patients for osteopenia and osteoporosis using routinely acquired x-rays in patients over the age of 50 years. The goal of this internship is to migrate […]

The participants are working together to provide a novel solution to the requirement for steering antennae for satellite communications. The solution will use new integrated circuits designed to process information optically rather than electronically. The application for this work includes the provision of broadband access to remote communities. The work brings together experts from McMaster […]

The objectives of the proposed research are to design, build and test a simple but robust prototype thermophotovoltaic (TPV) system comprising an optical cavity configuration and a bifacial PV cell. As a part of this collaboration, the design and fabrication of an optical cavity-based TPV system will be done at York University. This optical cavity […]

Prototyping of HEV powertrains is cumbersome, expensive, and time-consuming. Thus, design optimization is the most feasible alternative process for accomplishing a good design. This project will identify key system components and develop a high-fidelity model of the hybrid drive train capturing key dynamics. Modes such as engine mode, motor mode, hybrid-parallel mode, regenerative braking mode, […]

Chronic stress increases the risk of developing neurodegenerative diseases like Alzheimer’s. Specifically, chronic stress can cause increased microglial activation, leading to the release of pro-inflammatory cytokines through the NLRP3 inflammasome pathway. Pro-inflammatory cytokines play a role in the development and progression of certain brain diseases. Cerebiome has been associated with a reduction of pro-inflammatory cytokines. […]

Cybersecurity incidents such as data breaches have become more critical and costly than ever, as we are generating, processing, and relying on more digital information every day. To quickly identify potential security attacks and prevent them in a sea of system activities, machine learning (ML) has been applied to support security analysts’ decisions. However, the […]

Asthma is an airway disease affecting over 330 million people worldwide. More than >5% of people with asthma experience uncontrolled severe disease despite being treated with high doses of steroids which give them a lot of bad side effects1,2. The availability of a new class of drugs recently called biologics have reduced the number of […]

At large, the desire of the Mitacs Research Grant is to gain understanding of surgery as a new field of science, dubbed Surgical Data Science (SDS), and to provide computer knowledge compatible robot system development through ontology driven Surgical Process Modeling (SPM) and Deep Learning (DL) methods, which can lead to autonomous surgical phase detection-based […]

A prominent feature of urban development in the present era is the forced eviction of communities living in informal settlements to make space for infrastructural projects. The research project looks at the livelihood strategies adopted by women in the Lallubhai Compound, a resettlement colony in Mumbai, to navigate the effects of their displacement due to […]

With the aging of the Canadian population, the number of people living with dementia is projected to increase. Due to a lack of disease-modifying treatments for dementia, there is a pressing need to better understand how we can reduce dementia risk across all Canadians. A wide range of modifiable risk factors for dementia have been […]

Racialized newcomer women often face significant challenges in accessing mentorship opportunities, which can be caused by a range of factors including language barriers, cultural differences, lack of networks, and discrimination. To address these challenges, the ‘Her Mentors’ project aims to develop inclusive mentorship programs specifically designed for racialized newcomer women and provide targeted support and […]

The Multivariate Polynomial Digital Signature Scheme (MPPK-DS) is a new Post-Quantum cryptographic scheme that relies on the hardness of solving a set of multivariate polynomials. The scheme is an ideal candidate for the new NIST call for Post-Quantum digital signature algorithms that intents to diversify the post-quantum signature standards. In this project, we will work […]