Machine-Learning assisted computational search for new Li-Ion

The objective of this project is to apply machine-learning algorithms for the assisted computational search of new energy materials. In particular, cathodes for Li-ion batteries and solid-electrolyte interphase systems will be explored. Development of new high-performance battery materials is an integral component of overcoming the dependence on fossil fuels and ending the energy and climate […]

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High-throughput design and synthesis of novel nanomaterials for Li-ion batteries

This research project seeks to develop new low-cost and abundant materials for energy storage, like batteries, with an improved performance. The work will include the design, synthesis and characterization of the new materials, and, ultimately, will use them in fully functional devices. The project will focus in novel ways of combining elements and alloys with […]

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At-a-station measurement and prediction of flow and sediment fluxes in rivers

This project will make a major contribution to improve channel rehabilitation projects, which are reconstructing streams to imitate the natural form of the stream. These projects are very costly and their failure can cause high financial losses. The results of this project will lead to a decrease or elimination of the financial losses by improving […]

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Brain Imaging Biomarkers Type 2 Diabetes and Stroke

Adult onset diabetes, or type 2 diabetes, is becoming more common in Canada and across the world. And it is a risk factor for stroke. For example, silent strokes lesions are common in adults with type 2 diabetes. Despite this knowledge, we do not have a very good understanding as to how type 2 diabetes […]

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Develop a reliability-based robust shoring design system using Excel

The project is to develop a robust shoring design system using Excel software. A shoring system is a group of structural elements used to support/retain earth pressure during the construction of underground structures. Its design is influenced by many variables, such as the intended use of systems, earth pressure selection, performance of different systems, ground […]

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Manualization of occupational performance coaching for stroke survivors

Approximately 300,000 Canadians live with the effects of stroke. These effects include problems with mobility, cognition, speech and mood. Returning to personally valued activities following stroke can be quite difficult. In fact, the majority of stroke survivors, across all disability levels, report problems occupying their time in meaningful ways. This is particularly troubling as, while […]

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An embedded neurobiological theory of dance, why it matters, and how it heals

Dance is used with increasing frequency as a health intervention and in research designs; despite this increased use, the techniques and mechanisms involved remain poorly understood. Through the use of novel neuroimaging methods that allow for recording of data while subjects are freely moving through space, I aim to elaborate a neurobiological model of dance […]

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Electrical Material Characterization and Non-Destructive Diagnostics on Power Cable Dielectric Materials subjected to Thermal Aging – Phase II

Electric power is almost entirely transmitted through polymer insulated cables or wires in every home, factory, plant, or apparatus. If the temperature of a cable increases, it would be an indication that some accidents or malfunctions such as inflow of excess electric current occur in the cable. The generated heat, indeed, degrades the polymer insulations […]

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Cognitive performance in patients with coronary artery disease undertaking exercise: imaging the role of brain-derived neurotrophic factor

Patients with coronary artery disease often present clinically with a cluster of vascular risk factors, which predispose them to stroke and can cause subtle deficits in cognitive performance. These deficits are believed to pertain, in part, to disease of the small blood vessels providing blood to the brain. Fitness is associated with better cognitive performance, […]

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Enhancements to Smart Disease and Pest Prediction System Through the Use of Machine Learning Techniques

Given the current global environmental crisis, developing sustainable solutions to enhance or replace our current agricultural practices is critical: the agricultural sector exerts important environmental pressure through its aggressive land, water and pesticide usage combined with the ever increasing demand on food supply. Mitigating this problem requires developing more sustainable and efficient agricultural techniques. Precisely, […]

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