Les récentes politiques gouvernementales accélèrent la transition de la gestion des matières organiques vers des voies de valorisation telles que le compostage. Cette technologie simple a largement fait ses preuves. Cependant, dans la perspective d’une éventuelle mise en marché du produit final, la présence de contaminants dans les gisements de matière première est un enjeu […]

This project will provide new evidence on fatherhood in Canada, regarding fathers’ engagement with both parental leave and flexible work policies. By examining in-depth the relationship between parental leave policy use, and flexible work policy use, we can determine how and whether fathers use this suite of policy options, and the impact it has on […]

Tech companies generate Petabytes of log data per day, with 50% – 100% year-over-year growth. Conventional log analytics systems no longer scale to such large data sizes. In addition, managing such large data is extremely costly at every level, from storage cost, to network bandwidth, and to the cost of compute resources. This research proposes […]

L’éclosion de nouvelles maladies reliées aux changements globaux et l’augmentation du transport mondial est un problème dont l’importance a été particulièrement flagrante ces deux dernières années. Chez les plantes comme chez les humains, il importe de mieux connaître les nouveaux agents pathogènes de façon à développer des façons plus efficaces de les combattre. Ce projet […]

The project will investigate image-based 3D reconstruction to infer the 3D geometry and structure of human body and scenes from multiple 2D images. Effective solutions typically require multiple images, captured using accurately calibrated cameras. Stereo-based technique – Multiple View Geometry, for example, require matching features across images captured from slightly different viewing angles, and then […]

L’urbanisation est un enjeu pour la santé des écosystèmes et les services qu’ils procurent aux Canadien.nes. Les microbes jouent un rôle important dans le maintien de ces services. On comprend toutefois peu comment ils peuvent être impactés par une augmentation de la surface bâtie et des températures associées à l’urbanisation. Ce projet étudiera la réponse […]

Bioethanol is well-established as an alternative to petroleum-based fuels. A current roadblock in ethanol fermentation is end-product inhibition: where the increasing concentration of ethanol slows the growth of the yeast cells and their ability to ferment biomass. There is work being done to use existing separation technologies to remove ethanol throughout the reaction to avoid […]

Multiple coronaviruses including SARS-CoV-1, MERS-CoV, and SARS-CoV-2 have infected humans in the last two decades. In particular, the current COVID-19 pandemic triggered by SARS-CoV-2 has affected the entire human population, caused millions of deaths and negatively impacted the global economy. Vaccines have helped to reduce the severity of the infection; however, the virus continues to […]

UrbanSim is a simulation framework that facilitates the evaluation of land and transportations policies in the housing and land markets. Current approaches in the UrbanSim, being developed through CHMC to represent the Greater Toronto Horseshoe, do not consider price expectation formation in land and housing market models. The goal of this research project is to […]

Et si l’ingéniosité humaine et celle des plantes indigènes se rejoignaient dans nos jardins? Le travail qui sera fait au cours de cette Maîtrise aura pour objectif d’identifier des végétaux indigènes qui sont bien sur adaptés au climat local mais qui ont aussi les caractéristiques nécessaires pour les intégrer de façon innovante dans des infrastructures […]

The applicants propose to develop a new glue that surgeons will use to glue broken bones back together instead of using metal implants like screws and plates. Such a product has been sought for decades because of potential benefits to the surgeons and patients, including ease of operation when reassembly the puzzle of a complex […]

The main objective of this project is to investigate, develop and evaluate state-of-the-art deep-learning algorithms for joint few-shot classification and out-of-distribution (OOD) detection. Few-shot learning deals with the challenges of limited supervision, and OOD detection attempts to identify inputs that do not belong to the set of classes seen during training. The two research problems […]