Municipal governments are required to provide recreation, sport, and physical activity opportunities to all citizens, including those who experience disability. However, municipalities may not be aware of the key factors that will increase participation for this population. The goal of this project will be to develop a set of recommendations for municipalities to create and […]

This research project aims to improve the comfort of automotive seating by evaluating a new vibration massage system developed by our partner company and developing a pressure sensing software that can monitor how people respond to the vibration massage system. The project will integrate the vibration system with the software and introduce additional features such […]

Agriculture is on the brink of a paradigm shift due to sustainability challenges and the demands of a growing population. This transformation is being led by cellular agriculture, an emerging industry that encompasses lab-grown products ranging from sugar substitutes to meat-in-a-dish. Canada’s pork industry, one of the world’s largest, stands to benefit from this innovation […]

Canada is in the midst of a 12-month federal debate regarding the constitutionality of prostitution-related activities which has led the Supreme Court of Canada and Government of Canada to seek international expertise to inform future policies and legislation. Parallel to this debate, in preparing for the 2015 Pan/Parapan American event, Toronto must plan for the […]

In partnership with Antek Logistics Inc, the project will investigate how computer vision algorithms can help automate day-to-day operations in a warehouse. Novel algorithms will be developed to automatically identify and count pallets and containers within the warehouse for inventory tracking. We will also develop algorithms to detect damage severity on incoming pallets. The project […]

In warehouses, it’s important to know where forklifts are for safety and efficiency. Visual SLAM is a promising approach for forklift localization and navigation for indoor applications, but current methods have problems like being slow, not understanding what they see, and being affected by changes in light. This project aims to solve these problems and […]

Change is a necessary part of an organization’s existence and its continued growth. Therefore, the ability to manage change effectively and efficiently contributes to organizational success. The intern, through an extensive review of change models and public sector change literature, will develop a change model suitable for the public sector environment. The model will be […]

The proposed research investigates the effects of glass-fibre-reinforced polymer (GFRP) bars as a means of flexural reinforcement for glulam beams. Engineered wood products (EWPs) such as glue-laminated timber (glulam) and cross-laminated timber (CLT) allow for wood to be used in a larger array of applications. Fibre reinforced polymers (FRPs) can be used as a method […]

This project focuses on assessing the commercialization viability of Rogers Communications’ investments in 5G technology, with a specific focus on connected robotics, smart healthcare, and climate management. The project aims to support ongoing innovation projects in partnership with the University of Waterloo by evaluating their commercialization potential through qualitative research. The project will benefit Rogers […]

Trees, other vegetation, and engineered water features can contribute to both climate mitigation and adaptation in cities (Intergovernmental Panel On Climate Change (Ipcc), 2023). Trees, for instance contribute to climate mitigation through carbon sequestration. They can also contribute to climate adaptation through cooling urban areas (Aram et al., 2020; Bowler et al., 2010). Trees provide […]

Triple-negative breast cancer (TNBC), characterized by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (HER2) expression, exhibits high invasiveness, metastatic potential, and poor prognosis. Current chemotherapy for metastatic TNBC is associated with low response rates and short progression-free survival. It is imperative to find new therapies for this […]

In recent advancements, researchers are leveraging deep learning and machine learning for improving medical care, particularly within the veterinary field. The development of smart, wearable biosensing devices, equipped with non-invasive sensors and integrated with machine learning algorithms, facilitates real-time health monitoring. Continuous monitoring of health data through these devices offers valuable insights into adverse health […]