In light of disruptions caused by COVID-19, companies employing frontline workers must balance health and safety with maintaining productivity to survive and thrive in an unpredictable economic climate. This picture is complicated by the need for rapid learning in new, redeployed, and longstanding employees. How is workplace learning impacted by the COVID-19 pandemic and how […]

There is currently an abundance of research in the community in terms of capturing X-ray data around COVID-19 analysis to help diagnosis for radiologists. However, at the same time there are staffing shortages that lead either to long diagnosis wait times and potential misdiagnosis. Our research is focused around rapid deployment of AI and developing […]

There is recent evidence that surviving COVID-19 (particularly following ventilator use) could result in changes to how well your brain controls functions important for daily living. Currently, however, there are few choices for clinicians to test these functions prior to hospital discharge and at follow-up. This project will develop a web-based cognitive-motor integration assessment tool […]

The safety and quality of vaccine products are an integral requirement for all vaccine manufacturing and production. Most current tests are using laboratory equipment that requires trained personnel, equipment qualification, method validation, manual sampling, and testing at various stages of product manufacturing. However, the off-line testing is slow, often requires significant volume of material for […]

As Covid-19 Pandemic shows that we are surrounded by global unforeseen risks. Housing and housing financing are significant parts of people’s life and global crises may always put people’s right to housing in danger. For this very reason, it is a necessity to look for alternative financing models for housing as affordability would decrease the […]

This research will help VUCAVU.com, a non-profit online streaming platform for independent Canadian film and video artworks, determine how best to serve a widening range of users and partners given growing interest prompted by COVID-19 restrictions. The primary focus will be on educational stakeholders who need online access to audio-visual resources due to significant expansion […]

Blockchain technologies are increasingly becoming integral parts of information systems in domains that exhibit an increased need for resilience and can make no assumption of trust between parties. However, properly adopting blockchain in an information system design remains difficult, unsystematic and requires thorough understanding of the technology. In this project we explore ways by which […]

The goal of the project is to research and develop computer vision algorithms, software, and specialized hardware for the analysis of mixed traffic at intersections. Road users will be detected and classified as motor vehicles, pedestrians and bicycles. Road users will be geo-located within a 3D model of the intersection, tracked and classified according to […]

Social connections, especially satisfying romantic relationships, are vital for health and well-being. Yet, couples are spending increasingly more time apart, limiting opportunities for connection and intimacy. However, engaging in shared novel activities (i.e. self-expanding activities) can help couples connect and maintain their relationship over time. Indeed, couples who experience more self-expanding opportunities in relationships feel […]

This project is a partnership between York University and Sixth Wave Innovation Inc. (SIXW). The goal of this partnership is to develop components of a portable and low-cost technology for rapid and on-site air sampling and detection of aerosol viruses in indoor and outdoor environments. Virus capturing will be done by Molecularly Imprinted Polymers (MIPs) […]

Hypoglycemia or low blood sugar is a phenomenon that results from excess insulin or strenuous exercise in diabetic patients. If untreated, this can quickly lead to dizziness, seizures and even death. In healthy individuals, the body is able to compensate for these fluctuations and restore blood sugars to normal levels by lowering insulin and raising […]

In this project, machine learning and optimization will be applied to a 20 GB dataset on raw fish quality and process control parameters collected by the Tally software over a three-year period in a large industrial tuna cannery processor. The goal of the research is to design predictive machine learning and optimization algorithms maximizing the […]