Intégration de données numériques lifestyle pour la prédiction comportementale

Le projet de recherche consiste en une exploration des données lifestyle dans l’optique de prédire différents comportements. Les données sur le mode de vie génèrent des informations permettant d’en savoir plus sur les citoyens. Des liens ont notamment été établis entre la consommation de latte et le vote libéral ou encore entre le style vestimentaire […]

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Development and Validation of Employee Pulse Surveys

Pulse surveys are effective tools to improve how organizations function by measuring the real time response of employees on a periodic basis. The current project aims to develop a series of pulse surveys that measure the following concepts: team alignment, job satisfaction, employee engagement, and wellness. These concepts were picked because of their connection to […]

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Imagination Audit Project

The Laboratory for Artistic Intelligence brings artists and artistic methods into parts of society where more imagination and creative approaches are needed. Chief Artistic Officer Helen Yung has a track record of introducing new ways of thinking about policy development in order to by-pass flawed assumptions and build effective solutions. During subsequent conversations with a […]

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Development of optimized contact materials for interconnect layers in reversible solid oxide fuel cells for the conversion of CO2 and H2O to syngas

SeeO2 Energy has developed world-leading catalysts for reversible solid oxide fuel cell (RSOFC) systems with promising performance to produce syngas from H2O:CO2 feeds. The company has scaled-up the technology and has moved closer towards commercialization by building larger cells. However, assembling the RSOFC stack presents challenges due to issues associated with contact materials especially at […]

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Éducation 4.0 axée sur le développement des compétences d’avenir.

La transition vers l’industrie 4.0 a amené avec elle un ensemble de bouleversements non seulement au niveau de l’activité économique, mais aussi au sein de la société. Afin d’évoluer dans cette nouvelle réalité, les individus ont besoin de nouvelles compétences non techniques. Ainsi, des adaptations sont indispensables au niveau de l’éducation et la formation professionnelle, […]

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Graph Representation Learning for Drug Discovery

Traditionally, drug discovery is a long and costly process, which consists of many stages and on average takes a total of more than 10 years, because it screens huge amount of drug candidates by conducting chemical and biological experiments which are expensive and time consuming. This project aims to apply graph representation learning technologies to […]

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Assessing the effects of neurofeedback through a comprehensive systematic review

Recently, principles gleaned from research on learning have been applied to change people’s brains. Specifically, there is evidence that how the brain communicates can be changed through the application of positive and negative reinforcement, a concept known as neurofeedback. Importantly, researchers claim that by changing how the brain communicates, neurofeedback can change behaviour and reduce […]

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An Investigation into Travel Demand Management Policies for Land Development

Single occupancy vehicle travel leading to congestion in urban areas is a significant problem. Congestion has numerous economic, social, and environmental impacts that negatively impact the prosperity and vitality of an urban area. One method for counteracting these negative impacts is known as travel demand management (TDM). TDM is a broad set of strategies that […]

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Optimal building community operation using data-driven mixed-integer convex model predictive control

We propose a new approach to coordinate the energy consumption of the rooftop unit (RTU) heating, cooling, ventilation, and air conditioning (HVAC) system of commercial buildings within an aggregation, e.g., building or units of a shopping center. Our approach uses a new specialized solver for neural network-constrained integer programs to optimize the energy consumption while […]

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Application of Machine Learning in Radiation Oncology Scheduling

Cancer incidence rates in Canada are increasing steadily every year which puts a strain on the treatment system. In Quebec, the waiting time to start treatment of cancer patients is enforced by law, however, it is difficult to meet with limited resources and personnel. Efficient planning is hence vital in reducing the long waiting time […]

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Designing global event sets of floods and tropical cyclones under future climates for underwriting, capital management and regulatory purposes

With mounting pressure coming from regulators and other bodies worldwide, the financial services industry (banks, insurers, and reinsurers) will soon need to disclose and stress test their solvency and profitability to various climate scenarios. The work from the Task Force on Climate-related Financial Disclosures (TCFD) thus provides guidance as to how it should be accomplished. […]

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