AI powered Traffic Flow Characterization, Monitoring and Prediction

Users and businesses have been relying on internet connectivity more than ever before since the COVID-19 pandemic. It is critical for modern network services to be well-planned, organized and monitored by system administrators and network service providers to ensure the highest possible availability, reliability, efficiency, and cost-effectiveness. Network traffic characterization and pattern prediction in-advance can […]

Read More
Evaluating the neurotrophic and anxiolytic effects of dihydrohonokiol-B (DHH-B)

Benzodiazepines (BZs), including drugs such as diazepam, are used in the treatment of chronic anxiety disorders. However, dependence develops with long-term use. Much needed new antidepressant drugs with better safety profile include honokinol (extracted from Magnolia plants) and its derivative dihydrohonokiol-B (DHH-B). While honokinol requires chronic treatment to induce an anxiolytic effect in rodents, DHH-B […]

Read More
Development of Stable and Sustainable Saffron Extracts for Commercialization

Saffron (Crocus sativus) is considered the most expensive spice in the world, costing between $500 and $5000 USD per pound. It is one of the most highly regarded and highest value botanical plants in the world and is a recognized natural health product. It is traditionally used for different health conditions, including sexual dysfunction, depression […]

Read More
Understanding Question Difficulty and Student Ability in Mathematics Assessments

Education software is abundant on the web, but few support the analysis of students’ performance and test difficulty over user-defined questions and learning objectives. The idea of this project is to create a computer program to provide educators with insights on student performance on assessment items and perceived and actual assessment item difficulty within fine-grained […]

Read More
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
Preserving Affordable Rental Housing: Tenant Opportunity to Purchase, Housing Cooperatives, and Land Trusts

Housing is becoming increasingly unaffordable in Canadian cities and tenants are struggling. Financialized landlords and other investment companies are depleting the affordable rental stock in the private market much faster than new social rental units are being created. One solution is for tenants to have the opportunity to collectively purchase their own buildings when landlords […]

Read More
Access and Equity for LGBTQ2S+ Businesses in Canada

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 […]

Read More
Building a safe, welcoming, and inclusive environment for Para sport athletes

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 […]

Read More
Applying Generative Design to Complete Community Planning

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 […]

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