The Diversity Institute (DI) aims to work in partnership with CGLCC to identify barriers for entrepreneurship in the LGBTQ2S+ community and drive inclusive innovation in the Canadian business ecosystem. Through in-depth interviews with LGBTQ2S+ business owners across Canada, recruited through CGLCC’s supplier network and diverse partners, the project aims to fill the gap in available […]

Rates of participation in sport among Canadians with a disability are low. Children, youth, and adults with a disability are missing out on the social and physical benefits of sport. Lack of programming is a significant barrier to participation. The proposed projects aim to address this barrier. Through a systematic program of research, we will […]

Applying Generative Design to Complete Community Planning brings together growing computational practices in generative design with the urban design challenge of planning and building complete communities using urban data analysis. The concept of complete communities is in part inspired by new urbanism which focuses on human and environmental needs. Transportation modes within a community and […]

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 […]

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 […]

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 […]

The project aims to study the carbon footprint of pre-manufactured timber sections in the construction industry over its supply chain. This will include the following subobjectives: 1) Mapping of the activities of the supply chain. The aim here is to formalize a process model for all activities related to pre-manufactured timber. Equally important, the study […]

The Etobicoke Creek watershed is heavily urbanized with significant water quality issues. As part of the development of a watershed plan, scenario analysis allows for modelling different future land use and climate conditions to understand how watershed conditions will change. The purpose of this research is to establish and utilize an appropriate water quality model […]

Emerald ash borer (EAB) is an invasive insect from Asia that was detected in Ontario in 2002 and has caused severe declines in ash trees. EAB is able to kill a healthy ash tree in 3-4 years and has caused declines of up to 99% in some areas 8-10 years after arriving. Although there is […]

The proposed research will take place in the City of Mississauga. A recent study by Gro?mann et al. concluded that heavy levels of tree pruning leads to an increased number of microhabitats, compared to trees pruned less often (2020). These trees are often called ‘veteran trees’ in North America, and are very important for urban […]

The critically endangered North Atlantic Right Whale resides in waters with busy shipping lanes in the Bay of Fundy and the Gulf of St. Lawrence, where incidents of ship strikes have proven to be a primary cause of whale death, resulting in their numbers dwindling to less than 400. Though the implementation of speed limits […]

We are bringing together modern techniques in Bayesian machine learning to optimize process parameters for a state-of-the-art semiconductor fabrication process. The challenge is that while the process contains complex underlying dynamics and some degree of stochasticity, there are a large number of process parameters and a small number of samples to use for model training […]