In this project, the goal is first to design a domain ontology that models the innovation management forms semantically. At this step, the ontology contains domain-specific background knowledge, which is expressed using terminological statements. Then every completed form and the value of its fields are asserted as instances of different concepts of the ontology. Afterwards, […]

Vitamin D compounds are being developed for the treatment of chronic kidney disease. The purpose of this proposal is to develop a cell-based screening platform that will allow the rapid assessment of relative efficacy of a library of compounds. The intern will use recombinant DNA methodology to generate a cell-based assay in which the green […]

The objective of this project is to elaborate an automated and scalable approach to assist security analyst in investigating and identifying underlying key cause (or causes) behind security or compliance failures of network services in NFV-based environment. Finding the root cause allows appropriate and achievable actions to be taken to recover or/and prevent the recurrence […]

This project will develop a smart parking solution, including both hardware sensors and the analytics platform, that provides real-time parking availability data, which can support decision makings, such as policy refinements, demand-responsive pricing, etc. Our project aims to optimize the rate of parking facilities’ utilization as well as improving drivers’ parking experience. In terms of […]

In Canada, motorists are faced with a wide range of environmental conditions. Weather, in the form of rain, snow, other frozen precipitation, fog or strong winds, occurs 10 to 20 percent of the time, depending on the location and year. This project, which involves a three-way partnership between State Farm Insurance, the Institute for Catastrophic […]

Hydraulic fracturing technique has become an essential requirement in exploiting tight and light oil reserves in Saskatchewan and Alberta. The recovery in tight oil fields in these provinces is low with rapid production decline in hydraulically fractured wells. Also, it should be noted that fracturing horizontal wells can consume millions of gallons of water; a […]

Les mesures d’équipements intelligents sont de plus en plus disponibles. Ces mesures permettent de caractériser le lien entre les habitudes des ménages et la consommation d’énergie du chauffage de l’eau. La meilleure connaissance de ce lien contribue au développement d’outils permettant d’anticiper la consommation d’énergie. Un réalisme accru de prévision permettrait à Hydro-Québec d’entrevoir d’autres […]

L’Institut de recherche d’Hydro Québec (IREQ) est le leader en Amérique du nord sur des recherches et développement en énergie. En collaboration avec L’École polytechnique de Montréal et l’’École de technologie supérieure (ÉTS), un projet de recherche a déjà été réalisé sur la vibration des turbines hydrauliques. À la suite du succès du projet, L’IREQ […]

This proposed study will significantly enhance our current understanding of how specific intra-operative factors can impact patient outcomes. Our proposed work will provide a proof of concept that machine learning can objectively predict a specific, high-impact post-operative complication, allowing us to move forward with scaling this work to a wide variety of surgical settings. Moreover, […]

Hospitals strive to perform cutting edge medical treatment, treat all patients fairly, and reduce operating costs, while also enabling caregivers to spend more time interacting with patients. Artificial intelligence and machine learning promise these things. However, medical data provides unique challenges for machine learning. Currently, if a hospital wants to include an algorithm for automated […]

Anticoagulation with Warfarin is indicated and required for post-operative cardiovascular patients. However, it is a high-risk medication with a narrow therapeutic range where sub-optimal dosing can lead to complications and even death. While multiple risk factors have been associated to Warfarin sensitivity, the prediction of optimal Warfarin dosing strategies remains ineffective and requires trial and […]

The research will be using visual information from the phone’s camera as well as demographic information from participants and implement various machine learning algorithms such as random forests, support vector machines, etc. to provide feedback regarding different exercises to the participant. Specifically, the algorithms will classify the exercise types. Furthermore, these algorithms will be optimized […]