Designing for better novice assembly: towards energy efficient novice building

This research is about technologies for ‘DIY’ or ‘novice’ home-construction. The research asks if high energy efficiency homes could be built by novice and non-expert builders. Energy efficient construction is an increasingly expert craft: with specialized knowledge, tools, and practices now required to achieve excellent building energy performance, this presents barriers to building efficiency for […]

Read More
Soudage par friction malaxage de l’aluminium appliqué au domaine des ponts : revue de littérature approfondie et proposition d’un plan de recherche

Il est bien connu que certains problèmes inhérents au soudage par fusion des alliages d’aluminium comme le soudage TIG ou le soudage MIG ne se rencontrent pas en soudage par friction malaxage (FSW en anglais). Le FSW permet une soudure à l’état solide qui donne une zone affectée thermiquement moins importante, ayant des propriétés mécaniques […]

Read More
Risk-based Winterization of Assets Operating in Harsh Environments

The proposed project is an extension of an ongoing project with American Bureau of Shipping (ABS), which aims to develop a performance-based winterization guideline for assets operating in harsh environments. The project has led to a novel approach of assessing need of winterization and evaluating extent of winterization required to maintain assets in safe operating […]

Read More
Derisking GNSS use in the design of a train autonomy system

Thales Canada, Transportation Solutions has a long history of developing automated train systems. The company has designed a new autonomous train system that contains a Global Navigation Satellite System (GNSS), e.g., GPS, sensor input using corrected GNSS measurements. Thales and York University’s GNSS Laboratory are proposing in this Mitacs Accelerate proposal that one senior doctoral […]

Read More
Developing metal nanoparticle surfaces and the combination of polyionic liquids with nanoparticles as antimicrobial coatings

SARS-CoV-2 has emphasized the need for antimicrobial defenses in our environment. We need to minimize the risk of microbe transfer between people via touching a common surface. This project, led by the University of Windsor and Ontario coatings companies Tessonics and ONTech Rapid Coatings, combines three different strategies to develop a persistent antiviral coating that […]

Read More
Development of Interactive, Online Quantum Computing Educational Material

In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, it […]

Read More
Development of Natural Health Products from Sea Cucumber and Wild Blueberry

More than half of Canadian households have companion animals such as dog or cat. However, cancer has become the leading cause of death in dogs. Currently, available treatments have limitations and compromise the quality of life of dogs. Adored Beast Apothecary wishes to develop unique natural health products to prevent and treat cancers of dogs. […]

Read More
Programmable light for microscopy

Computational optics is the integration of algorithms to enhance optical imaging and exceed its physical limitations. The principles of computational optics can be used in microscopy by implementing programmable illumination to control the application of light onto tissue. MTT Innovation Inc.’s Light Steering Projection technology uses laser illumination, spatial phase modulation, and image processing algorithms […]

Read More
The Binary Fluid Ejector- a novel thermal-driven heat pump for low-energy distillation:Influence of binary fluid thermodynamic properties

Currently, two common technologies that use thermal energy directly to produce cooling are being used in the industry – absorption chillers and steam ejectors. Both are traditional technologies that suffer from serious limitations. MRT is developing a novel Binary Fluid Ejector that can overcome the limitations of prior art to produce a heat pump that […]

Read More
Automated Assessment of Forest Fire Hazards

The proposed project is to develop a Deep Reinforcement Learning (DRL) model capable of using Light Detection and Ranging (LiDAR) data to automatically analyze whether there is a risk of forest fire due to vegetation management around electric equipment. The model automatically classifies points in a LiDAR scan to determine whether there is direct contact […]

Read More
Digitization of Workflows in Heavy Industrial Construction Projects using Internet-of-things (IoT) Applications

The efficiency and productivity of the construction industry has been stagnant due to lack of innovations in technologies, as compared to other industries (e.g., manufacturing, etc.). The digitization of the workflows can help the construction companies to become agile and collecting process related data, which can be further used for decision making and continuous improvement […]

Read More