Non(Sleep)Social: Reclaiming the silent night

The project focuses on the benefits of wakefulness at night through listening, and listening collectively, in the context of public programs for exhibitions. (NON)SLEEP SOCIAL challenges ideas around sleep and sleep ‘disorders’ such as insomnia as unwanted wakefulness during the night. The project focuses on the potential of all night cultural events within the context […]

Read More
Enhancing sustainability outlook of livestock feed additives production and use: An integrated and model-based approach

Considering the challenge of feeding a growing population, with an increase in the demand for more animal-source foods, efficient use of resources will be essential. Livestock and aquaculture are major contributors to climate change, being responsible for 14.5% of the global greenhouse gas emissions in addition to nutrient losses, leading to water contamination. However, feed […]

Read More
Transformational Specification of Out-of-Thin-Air Memory Models

Much of the performance in today’s computing devices such as mobiles, desktops, supercomputers, etc. can be attributed to concurrency – the ability to perform more than one task simultaneously. In addition, performance of software that run on such devices greatly benefit from the compiler (software that translates our code to be run by hardware) that […]

Read More
Investigating the dose-response of prenatal-THC exposure in adolescent mice

Across the world, rules regarding the legalisation of recreational use of cannabis are changing. This is leading to a perception that cannabis is safe to use: people remain unaware of consequential health risks. The concentration of delta-9-tetrahydrocannabinol (THC), often found in cannabis products, is rising – a concern as THC is known to have psychoactive […]

Read More
Development of Fast Longitudinal Cortical surface extraction, deformation, and Normalization (FALCON) for the measurement of cortical thickness over time from brain magnetic resonance images Year Two

The project involves development, validation, and application of new medical image analysis algorithm where cortical thickness is measured from serial brain magnetic resonance imaging (MRI) with improved efficiency and greater sensitivity. Cortical thickness is a relatively new metric that correlates with clinical and cognitive worsening in a variety of neurologic disorders such as multiple sclerosis […]

Read More
Aptamer-decorated magnetic beads targeting T-Cell enrichment for application in CAR-T cell therapy

This project aims at developing a magnetic nanoparticle-based technology that couples novel aptamers (MNP@apt) for targeting T-cell enrichment for CAR-T cell therapy applications. The proposed method offers several advantages to antibody-based isolation of T-cells, namely stability and ability to release captured T-cells. Finally, we aim to develop a method that can be amenable to large-scale […]

Read More
Electric Machine for Landing Phase Kinetic Energy Recovery of Commercial Aircraft

The pollution from aircraft is expected to be seven to ten times higher in 2050 compared to 1990 level. To address the issue, a kinetic energy recovery system fitted onboard commercial aircraft is proposed. The system is widely used in automotive industry but has never been proposed for aerospace applications. Electric machines are a limiting […]

Read More
A 3D agent-based model for simulating urban redevelopment at the building scale

This project will explore how Toronto’s planning regulations, real estate market and urban form influence the feasibility of urban redevelopment within the city. The expected results will contribute to society and industry through the creation of 3D spatial decision support system as one of the key deliverables. This tool will help inform stakeholders of the […]

Read More
Nanomaterial interactions with soil microbial communities and soil fauna

Conventional agriculture needs large inputs of nutrients, through the addition of fertiliser, in order to produce the amount of food needed globally to sustain the population. Typical fertilisers are hugely wasteful, polluting the atmosphere and waterways, and affecting human health, wildlife, and ecosystem stability. Nanomaterials are very small particles that have potential to be used […]

Read More