Sidewalks, pathways and bike lanes are a vital part of cities, they act as conduits for pedestrian movement and access, they enhance connectivity and encourage non-personal vehicle transportion. Having safe, accessible and proper sidewalk and bike lane maintenance is a fundamental necessity for cities to enhance their citizens public health, happiness and maximize their social […]

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 […]

The proposed project is focused on developing practical methods to quickly and accurately estimate the effective thermal resistances (R-value) of different masonry wall systems. The R-values of various walls are needed by the internship partner and its member organizations for showing that their wall designs comply with the new building codes. To develop the practical […]

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 […]

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 […]

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 […]

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, […]

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 […]

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 […]

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 […]

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 […]

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 […]