At present, networks for the studying of fashion exist globally in Europe, the United Kingdom, and the United States, among others. Canada, too, is home to some of these collaborative sites, for example the Canadian Fashion Scholars and the Canadian Arts & Fashion Awards. Many of these networks have flourished through the publishing of an […]

Russian invasion of Ukraine began in February 2014 after Russia’s illegal annexation of Crimea. A larger invasion took place on February 24, 2022. Both conflicts have caused the displacement of 8 million Ukrainians to date. This is the largest humanitarian crisis in history since World War II. A significant percentage of these Ukrainian refugees have […]

Polyurethanes are an important class of synthetic polymers with widespread applications in consumer products. The origins of most of these products are derived from petrochemicals, and these traditional polymers are non-degradable and have limited recyclable potential. There is a need in this industry to endorses the practice of conserving resources, minimizing the environmental, health impacts […]

Traditional surveying procedures are labor and cost intensive. Mapping features like manholes require traffic disturbance, add risk to the field crew personal and the community members. The proposed project utilize a newly developed unique LiDAR-based mapping system. The developed 3D mapping system has a substantial cost reduction compared to the commercially available, which also tend […]

Fused Filament Fabrication (FFF) can 3D print final parts from continuous carbon fiber composites with high structural and thermal performance. In this project, a custom-built 3D printing head with feeding and cutting capabilities will be designed and manufactured. It will be installed on a robotic 3D printer to manufacture parts from high-temperature continuous fiber composites. […]

Our proposed research is to create an algorithm capable of pre-evaluating diabetes patients’ meals before they consume them with the snap of a picture. We are attempting to accomplish this goal by employing AI, machine learning as well as computer vision for real-time analysis. Our goal is to analyse a user’s meal to return an […]

Building Integrated Photovoltaic/Thermal (BIPV/T) systems are arrays of photovoltaic panels integrated into the building envelope facades and roofs that produce electricity and incorporate the additional function of recovering useful thermal energy. The energy can be used for space, domestic water heating or air conditioning. Recuperating heat from the BIPVjT system improves electrical efficiency and reduces […]

This project examines to the innovative use of Augmented Reality (AR) technologies that have yet to be fully integrated in the Architecture, Engineering, and Construction (AEC) industry. The research focuses on the capacity of AR to bridge the gap between design and construction. The role of the student is to conduct an initial literature review […]

The main goal of this project is to digitalize food waste at home for a sustainable future using at-home composters. We will develop dedicated machine learning algorithms to detect, segment, and classify various food waste generated in the kitchen, making it possible for everyone to immediately estimate the quality and nutrients of the generated compost […]

The project goal is to complete a community-wide vulnerability capacity assessment to gain a deeper understanding of the populations that require access to Emergency Social Services (ESS) during a large scale emergency, including the potential impacts of emergencies on these populations. This will aid in resource allocation and priority setting to better prepare for and […]

Currently, the building sector accounds of 36% of end-use energy consumption in Ontario. With the rise of appeal towards green energy, the government has focused greatly on developing sustainability policies. Additionally, Ontario has seen a rise in the equity-seeking communities’ population over the last few decades. Aknowlegding the success of sustainability policies is greatly depends […]

This project aims to develop a reinforcement learning agent with access to depth cameras to aid map building for SLAM. Research has shown dynamic environments, where the majority of frame is taken up by dynamic objects, along with low fidelity and lighting can lead to low robustness in practical application. We hope to use reinforcement […]