A precursor cell is a special cell that has the capacity to divide and transform into several different cell types, including bone, liver, skin and fat cells. The fate of a precursor cell is dependent on its surrounding environment and the factors the cell is exposed to. These factors trigger specific changes within the precursor […]

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 current internship is an extension of an ongoing project (application ref. IT24703) which implies the advanced deep learning-based approaches to diagnose the simultaneous power transformers’ faults based on a time-series dataset. The power transformers were selected as the candidate assets in the previous project. They are pieces of essential equipment for electricity transmission and […]

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 […]

Algorithms that learn and sample from probability distributions form an important part of machine learning, AI, and the natural sciences. One needn’t look far to find such algorithms at the bleeding edge of methodology, and in everyday scientific pursuit. The Wang-Landau algorithm is an example. It combines a sampling step with a learning step, to […]

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 […]

Gasification of wastes (either urban waste or residues from forest and agricultural operations) at large scale is a challenging operation because of the heterogeneity of the feedstock. Enerkem has addressed such challenge via its state-of-the art Bubbling Fluidized Bed (BFB) technology coupled with secondary Cracking and Reforming that results in high conversion of Carbon to […]

The intern Samuel Valman will work with Professors André St-Hilaire and Normand Bergeron at IRNS to develop a system to monitor river water discharge using satellite earth observation. The method developed will focus on measuring discharge during the melt water season of rivers in Quebec. This meltwater period is traditionally the most difficult period to […]

La transition énergétique et le développement de nouvelles politiques en faveur du recyclage des matériaux dans les pays du Nord impliquent de nouveaux modèles de commerce des matériaux. En particulier, les régions qui importent des matériaux vierges pourraient passer au recyclage local, réduisant ainsi leurs importations. Ce remodelage initial des échanges de matériaux pourrait inciter […]

In order to accelerate the energy transition to a carbon-free economy, hydrogen is becoming increasingly important as an energy carrier. One way of producing green hydrogen is via water electrolysis using renewable energy. Strong governmental policies are being deployed around the world to support the implementation of the hydrogen infrastructure. However, the intermittent and fluctuating […]

This project extends my internship with the organization that began in May (another 4 month internship). My internship mandate from the start has been to support SeeChange in developing a DEI strategy based on the “best” practices in the literature. However, I have learned that there is mounting evidence proving that many DEI initiatives being […]