Schedulability analysis aims at determining whether task executions complete before their specified deadlines. It is an important activity in developing real-time systems. However, in practice, engineers have had difficulties applying existing techniques mainly because the working assumptions of existing methods are often not valid in their systems. Specifically, uncertainties in real-time systems and hybrid scheduling […]

Currently, the gold standard pharmacological treatment for depression typically take several weeks before becoming effective. This delayed treatment onset can be devastating because of increased rates of suicide during this wait-period. Thus, there is a need for rapid acting antidepressant drug treatments. Strikingly, a single infusion of ketamine can result in alleviation of depressive symptoms […]

In the era of digitization, the success of an SME significantly depends on the active engagement with other actors (e.g., brand consumers, suppliers, influencers) in their business ecosystem. In this research project, we propose to develop an engagement model based on the business ecosystem network. These models will predict the customer engagement community association and […]

The objective of this research is to develop models to assess potential benefits of cloud-based Smart Dual Fuel Switching System (SDFSS) of the residential hybrid HVAC system of electric air source heat pump (ASHP) and natural gas furnace/boiler (NGFB) for simultaneous reduction of energy cost and greenhouse gas (GHG) emission. It will entail detailed modelling, […]

The reactivity of acylketenes in carbon-carbon bond forming reaction has been scarcely explored, despite their ease of access and stability. The student funded through this program will investigate the reactivity of these unexplored species in intramolecular transition metal-catalyzed cycloaddition reactions. These studies will establish the reactivity of acylketenes in cycloadditions, and reveal novel reactivity pathways, […]

The purpose of this project is to improve the lives of citizens in The Region of Durham through a partnership between the Regional government and Ontario Tech University. This project will tackle issues related to aiding vulnerable populations in our communities such as members of our homeless population and seniors living in long-term care homes. […]

The proposed research will include an analysis of video content to determine its implicit learning content based on the social and emotional domains. Once the videos are analyzed, a parent profile will be used to determine what videos are most applicable to each individual child, based on their developmental profile. Further activities will be recommended […]

This project aims to develop a new platform for spectroscopic imaging with optics at the nano-scale. It will involve forming a new relationship between Tornado Spectral Systems, RHK Technologies and the Burch group at the University of Toronto. This relationship will combine their unique expertise to achieve a system with unparalleled performance, able to determine […]

In many drug delivery methods, chemotherapeutic drugs have a hard time solely attacking cancer cells in a tumour and instead also attack healthy cells in the body, leading to severe side effects. Pharmasonica has developed ultrasound-responsive microcapsules that can be injected in the stationary tumour. These microcapsules have small silica nanoparticles on their outer shell […]

The objective of the project would be to develop a Strategic Plan that incorporates all facets of HSH’s services. Beyond end-of-life care, HSH is committed to changing the conversation around death and dying through programming which includes hosting Death Cafes and facilitating educational workshops on end-of-life planning. They also offer end-of-life Doula services, and public […]

Federal and provincial governments use the tax system to establish eligibility and deliver benefits and credits to low-income Canadians. Low-income Canadians experience increased barriers to filing their taxes and thus do not maximize available benefits. This is likely to have worsened as free in-person tax clinics closed due to the COVID-19 pandemic or only provide […]

In AI safety, compliance ensures that a model adheres to operational specifications at runtime to avoid adverse events for the end user. This proposal looks at obtaining model compliance in two ways: (i) applying corrective measures to a non-compliant Machine Learning (ML) model and (ii) ensuring compliance throughout the model’s training process. We aim to […]