Towards personalized surgical spine reconstruction post tumour resection

We aim to develop tools to assess patient outcomes following treatment and removal of bone metastases. We will identify markers for enhanced patient outcomes, so as to predict which patients may benefit from more aggressive treatments to better their quality of life. We also aim to use 3D printed bone implants to help in the treatment of patients with bone metastasis. These implants will serve as a local reservoir for the anticancer drugs that will improve bone regeneration while also preventing tumor recurrence.

Developing metabarcoding approaches to describe the fish diversity within a diversity of aquatic habitats

Evaluating the impact of multiple stressors on aquatic ecosystems often requires robust biodiversity estimates.

Oil and lipid improvements in field pea to develop a non-traditional oilseedcrop

It has been noted in recent studies that provided an increase in the lipid content of the field pea (Pisum Sativum L.) through genetic manipulation, it can be used as a viable commercial alternative to conventional oilseed crops, which include canola and soybean. Genetic transformants with high lipid content can be created in the McGill University laboratories but its commercial viability needs to be tested with an industry partner.

Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS). This company utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of my project is to incorporate advanced computer algorithms to automatically classify the quality of high-resolution structural brain Magnetic Resonance Images. The advanced computer algorithms will include deep learning algorithms.

Life-cycle cost analysis of compressed air energy storage systems

The proposed internship aims to study how the performance and the reliability of mechanical energy storage systems influence their life-cycle cost (LCC), including the acquisition cost, the maintenance, and the energy costs. First, the effect of the variation of the design parameters on the performance and acquisition cost of the product will be assessed. Second, the effect of materials and processes on the reliability and the LCC of product will be studied. Lastly, the energy cost associated with the operation of the product will be analyzed.

Precast Concrete Carbonation under Ambient Conditions

This project seeks to explore the practical viability of curing concrete via carbonation at ambient pressure conditions, thereby omitting the technique’s current dependency on elevated pressures. A vacuum pre-setting step and regimented CO2 injections highlight the proposed technique. Experiments will initially be carried out at the laboratory scale at the university, and then scaled up to pilot trials to be conducted at the partner’s industrial site. Tests and analyses include compressive strength, absorption, porosity, surface resistivity, mineralogy, microscopy, and thermal analysis.

Structural colors on polymers by femtosecond laser irradiation

Most colors in nature are due to the presence of pigments or dyes. Artificial colors on different materials are produced by incorporating dyes in them. However, the brightest colors in nature, e.g. the colors of butterfly wings and peacock feathers, are generated because of the micro/nano-features on their surface. Unlike the added dyes or pigments in a material, the colors produced by surface features, also called structural colors, do not fade with sunshine and this colors are non-toxic. Laser irradiation can create structural colors on metals by an easy one-step process.

Technology to improve walking competency in seniors

Walking pattern in healthy adults changes with age. A poor walking pattern results in fall and fear of falls. It is important to detect early changes in gait so that corrective measures are taken. In this project I am planning to use a sensor (Heel2Toe device) that detects when an individual makes a correct step while walking. In addition, the proposed device will also give a sound feedback when person makes a correct step. This device will be used by the therapist to understand gait deviations as well as prescribe this device to use at home for training.

Graphene Oxide membranes for acoustic drivers

The Graphene Audio group at TandemLaunch is working to revolutionize loudspeaker design through the use of graphene composite materials (Graphene-CMs) in loudspeaker membranes. Graphene is a newly discovered material with exceptional mechanical and electrical characteristics. Its low mass and high strength make it ideal for use in acoustic transducers offering an immediate benefit over existing loudspeaker technologies.
This project seeks to improve the manufacturing techniques and acoustic characteristics of these Graphene-CMs.

Cisgenic AG704.10 potato cultivar with enhanced late blight resistance and mineral bioavailability

Potato crop suffers from several devastating diseases. Genetic resistance is the best way to manage these diseases but potato is sexually quite incompatible. A novel technology called genome editing offers genetic improvement, similar to conventional breeding, where the susceptible genes in a cultivar are cut and replaced with disease resistance genes from another cultivar, with no change to rest of the genome.