Evaluating the imPROVE LEAN Program at Provincial Health Services Authority

This research project will examine the imPROVE program at Provincial Health Services Authority. The imPROVE program is a large scale initiative designed to ensure or improve the quality and efficiency of health service delivery using LEAN methodology. This research will investigate several components of interest as identified by key stakeholders, which will provide decision makers […]

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Action Recommendation Engine (ARE)

Project NOVA will build on the University of Ottawa and Ciena’s advanced analytics capabilities to allow networks around the world to understand where video flows run over their network. This will allow the network operators to improve video Qualify of Experience for their end customers, more quickly and cost effectively fix video impacting network problems, […]

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A Finite Element Framework for Non-linear Material Constitutive Modelling of Superalloy Additive Manufactured Parts

Due to its versatility, time and cost saving, additive manufacturing (AM) technology, and more specifically selective laser melting process (SLM), is replacing conventional manufacturing processes, particularly for producing complex geometry components. In this technology, the near net shape parts are incrementally built by fusing layers of powder material using an intensive heating source/ Structural stress […]

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Conception d’une méthode pour déterminer la capacité d’un complexe manufacturier d’entretien, de réparation et de remise à niveau, avec application dans un contexte de turbines industrielles

La planification des opérations de maintenance est une tâche compliquée car elle est difficilement prévisible. La détermination des points bloquants dans la production permettra de mieux les éliminer et ainsi de réduire le temps de réparation des turbines. Pour cela, le stagiaire cherchera dans un premier temps à trouver le meilleur logiciel pour faire cette […]

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Time Series Clustering and Classification

Financial indicators of an individual firm may be in the form of time series, vectors, or even richer data, such as text or images. The purpose of this work is to explore and develop methods for dealing with such data, and in particular perform the clustering/classification of such data into similar groups. In the project […]

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Extraction de vocabulaire structure pour I’etablissement d’une politique deretention et de controle de courriels

Le projet consiste :!l extraire, a partir d’un Ires grand vOlume de courriels, un vocabulaire structure qui pourra etre mis a profit pour I’elaboration d’une politique de retention et de controle. Plus precisement, des methodes seron! developpees pour I’extraction d’un ensemble de termes pertinents puis, dans un deuxieme temps, I’ensemble des relations pertinentes dans lesquelles […]

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Implementing a Web-Based Patient Follow-Up Platform into BC Cancer

Increasing cancer diagnoses and advancements in detection and treatment have allowed more patients to survive for longer periods of time. Correspondingly, patients are increasingly reporting side effects that influence quality of life (QOL). This creates demand for more accessible methods of long-term collection of patient reported outcomes (PROs). Due to geographical, time, and financial constraints, […]

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BEAM: Building Energy Analysis and Monitoring

This project aims to improve energy efficiency and conservation in commercial buildings through statistical modeling and data analysis. Computer software will be developed which can predict future building energy consumption, and assist in diagnosing misconfigured equipment and recommending ways to save energy within buildings. This project is joint work between Pulse Energy, a Vancouver-based company […]

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Improved Numerical Combustion Models for Predicting and Reducing Pollutant Emissions in Gas Turbine Engines

Gas turbine engines are the primary propulsion device for today’s aircraft. These engines operate on liquid hydrocarbon-based fuels and as such can yield a range of undesirable pollutants including gaseous emissions such as nitrogen oxides (NOx), carbon monoxide (CO), green-house gases (GHG, largely CO2, really a combustion product) and unburned hydrocarbons (UHC), as well as […]

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Coalescing around gender inequity frames on Twitter: The use of online campaign to #ElectMoreWomen in the Toronto 2018 Municipal elections

Using an advanced social media analysis tool developed by experts at Nexalogy, we will look at a Twitter campaign that focuses on gender-identity and inequality in an effort to challenge and change unequal representation of marginalized people (in this case, gender) in elected office and spaces of traditional political power. By looking at female-identifying challenger […]

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Digital speech analysis: prediction and differential diagnosis of PTSD symptoms and severity

Occupational stress conveys risk of Posttraumatic Stress Disorder (PTSD). In PTSD, early diagnosis and early treatment interventions are advantageous for positive outcomes. We will develop novel technology for early diagnosis of and prediction of vulnerability to PTSD in military and first responder personnel. Based on our existing collaboration on identification of symptoms and prediction of […]

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Automating Analysis of Privacy Requirements

Against a backdrop of alarming privacy breaches at social media, banking, and government websites, the European Union will see the General Data Protection Regulation (GDPR) come into force as of May 25 2018. GDPR will drastically increase fines for data loss and breach, introduces new requirements to obtain individual consent for data use, and defines […]

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