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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Scalable Secure Authentication in Mesh-enabled Networks for Smart Cities

The proposed solution will address the aforementioned challenges by attempting to provide scalable authentication and encryption mechanisms. A combination of software and hardware based approaches can be used to provide enhanced security to constrained IoT nodes with respect to their timing and power demands. Technologies such as Bluetooth or 802.11ax mesh networking could be critical […]

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Anomaly Detection in transactions volumes

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]

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Classification automatique de données d’indicateurs de performance de projets de Partenariat Public Privé et analyse de tendances

Dans le domaine de la gestion des infrastructures, les indicateurs de performance (IP, ou en anglais Key Performance Indicators – KPI) sont des mesures qui lient le client et le fournisseur de services. Ces indicateurs permettent de fixer des objectifs de performance que le fournisseur doit atteindre. Les IP sont particulièrement importants dans des ententes […]

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Accurate identification of Points of Interest visits for refined trade area analysis and audience segmentation

Pelmorex (owner of the brands The Weather Network and MeteoMedia) operates weather information services accessed by all Canadians on desktop computers, mobile apps and television. The mobile app is one of the most downloaded and used apps in the country, within both the Apple/Google ecosystems of smart phones/tablets. Continuous and accurate location data is collected […]

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Smart Meter IOT: Security vs Privacy in a Heterogeneous IOT environment

Internet of Things (IOT) enabled communication devices have become a ubiquitous commodity in the smart metering solutions world for the purposes of “getting the data off the meter”. Many of these devices have little to no measurable security, aside from the infamous “security through obscurity” which we can no longer rely on, as the average […]

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