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 […]

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 […]

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 […]

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 […]

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 […]

My project proposes to analyze representations of the built environment in William McFarlane Notman’s photographs of the Royal Tour of Canada in 1901. Held at the McCord Museum in Montreal, the photographs picture the tour taken by the Duke and Duchess of Cornwall and York (later King George V and Queen Mary) across Canada on […]

This project aims to develop cost estimation models using data analytics and machine learning techniques. In addition, throughout project execution, cost control and monitoring approaches will be further explored. These approaches will benefit from Work breakdown structures (WBS) and Enterprise Resource Planning models (ERP). Finally, the research will focus on developing project planning and management […]

Based on a 2006 census, it is estimated that Canada has 300 remote communities with a?total population of 200,000 people that are not connected to the North American electrical grid.?The primary source of electrical power and heating in Canadian remote communities is predominantly using diesel generators. Most of the diesel generators have been sized when […]

This project will allow the research group at Ericsson Canada Inc. to produce in less time more R&D results and proof of concept related to short-reach optical interconnects applied to ICT systems. This will keep the interest of the mother company in Sweden and help us attract other interesting R&D mandates in Ericsson Montreal to […]

Plants are always associated with a well-coordinated and beneficial community of microbes – the phytomicrobiome; this plus the associated plant forms the holobiont, the entity that provides crop yield. There is considerable communication between the phytomicrobiome and the plant, often through signal compounds. Bacillin 20 is a small protein (a peptide) produced by a Bacillus […]

Additive Manufacturing is a rapidly growing technology in the gas turbine industry. Its numerous advantages allow for the design of complex shapes which have not been possible in the past, using conventional manufacturing method. The parts could be manufactured on demand, with reduce cost and lead time. Selective Laser Melting is the common method to […]

State-of-the art computational methods will be harnessed to design strainers used for collecting and treating industrial and municipal wastewaters. Such devices play a vital role in conserving a vital and ever increasingly scarce natural resource. This research is a new initiative that will benefit societies throughout the world who depend on efficient and effective capture […]