Implementation of Photonic Computing Chip (IPCC)

The IPCC project aims to utilize the advancements in lasers, optics and semiconductor fabrication facilities to deliver a computing chip that uses laser instead on electrical signals to perform computations. The new paradigm of computation execution allows computations to be performed much faster at lower energy consumption which directly leads to lower costs for computations. […]

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Genes to affordable medicines – Stream 2-L

The Structural Genomics Consortium (SGC) is a not-for-profit public-private partnership research organization that aims to accelerate the discovery of new medicines through open science. This Mitacs cluster will bring together SGC’s industry and academic collaborators to work together towards new and affordable medicines for challenging diseases. Sixty-three post-doctoral fellows will spend 2-3 years developing open […]

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Robust Aerodynamic Shape Optimization of Automotive Vehicles

The post-doctoral fellow will first develop novel approaches for the unsteady flow design environment. The use of real-world automotive geometries will allow the post-doctoral fellow to gain valuable insights of the challenges in this field, a firmer grasp of the transient flow over automotive vehicles in real-world flow conditions and the use of commercial-industrial level […]

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Longitudinal effects of aripiprazole on enhancing memory and brain connectivity in first-episode psychosis

Schizophrenia is a debilitating psychiatric disorder characterized by positive (hallucinations, delusions), negative (lack of motivation, flat affect), and cognitive (impaired memory and attention) symptoms. Aripiprazole, a dual-action antipsychotic, shows promise in enhancing brain structure and memory in schizophrenia, which may have downstream positive effects on negative symptoms and outcome. However, the mechanisms and timing underlying […]

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Development of an assessment tool for individualization of a smoking cessation protocol using a smart pulmonary inhaler and a mobile self-care application

English // Despite significant efforts in the area of prevention and treatment, tobacco and e-cigarette addictions remain a recognized public health problem in Canada. Artificial intelligence (AI) in health offers an innovative avenue in tobacco treatment: the combination of an intelligent pulmonary inhaler coupled with a mobile health app would offer a real-time nicotine cessation […]

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THE USE OF WEARABLE VITAL SIGNS SENSOR TECHNOLOGY FOR EARLY PHYSIOLOGICAL DETECTION AND TRACKING OF VIRAL RESPIRATORY TRACT INFECTIONS

BACKGROUND: Viral respiratory tract infection (VRTI) is the most common illness in humans, resulting in a total economic impact of $40 billion annually in the United States. Taking into consideration the current novel coronavirus pandemic – impacting billions of people around the world, compromising the global economy, and putting extreme pressure on healthcare systems – […]

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Modulating HMGB1 in COVID-19-associated inflammatory response

The project addresses urgent and clinically-relevant questions related to COVID-19, which causes in some patients life-threatening respiratory distress, septic shock and organ failures. Patients in intensive care units were found to have significantly higher levels of high mobility group box 1 (HMGB1) than patients with milder symptoms. HMGB1 is a protein normally found in the […]

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Integration sound considerations into the Montreal nightlife policy

Noise affects everyone, and our cities try to limit noise impacts through effective policy. We focus on the issue of night noise, where the needs of different people can vary widely between wanting quiet for sleeping and for the great nightlife that cities are known for. This collaboration between the City of Montreal and the […]

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Discover anomaly signatures from time series data of telecommunication networks

Failures in a telecommunication network harm the communication quality. Once happened, if the system cannot solve it by self-healing, such anomaly may even result in serious problem and result in massive economic loss. In this project, we will design and develop a system to predict these failures in advance using the status values of the […]

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Freight consolidation and container loading optimization

This project investigates a complex freight consolidation and loading problem faced by Frontline Carrier Systems Inc., a leading transportation and supply chain provider in North America. Frontline seeks to optimize their transportation costs by minimizing the number of trucks required to ship a set of customer orders within a finite planning horizon. The problem integrates […]

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Exploring the effectiveness of a pilot parasport coach mentorship program.

Informal learning involves acquiring knowledge outside of a structured setting in which learning is self-directed and developed from experience, exposure, and interactions with their environments (Nelson et al., 2006). Examples of informal coach learning includes experience as an athlete, coach observation, self-reflection, reading books, exploring the internet, and learning from experts or mentors in the […]

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Liquid accelerated cold spray for copper deposition

The liquid accelerated cold spray (LACS) technology is an innovative process that uses a high-pressure liquid flow to accelerate metal and composite powders to very high velocities (above 500 m/s) so that, upon the impact on the substrate, they form a coating. Using a liquid instead of a gas as used in a traditional cold […]

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