Validation of the educational impact of a holographic lecture

UBC and Microsoft intend to collaborate on an applied research project where 3D models of the brain will be used to create an interactive Holographic lecture using Microsoft’s new augmented reality device, the HoloLens. The will form the basis for a lesson or “HoloLecture,” and will feature new interactions to take advantage of the HoloLens’s […]

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Développement d’un modèle prédictif de la valeur globale future d’un client dans le secteur b

Le Mouvement Desjardins, coopérative financière appartenant à plus de 4 millions de membres au Québec et en Ontario, évolue dans le contexte très compétitif du secteur bancaire. De plus, ce secteur voit apparaître de nouveaux concurrents non traditionnels dans plusieurs sphères des services financiers (financement participatif, solutions de paiement, transferts de fonds, etc.). Afin d’être […]

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Next Generation Catalyst Layer Design for PEM Fuel Cells

The performance of non-precious metal catalysts (NPMCs) for proton exchange membrane fuel cell (PEMFC) has now reached a stage at which they can be considered as possible alternatives to expensive Pt, especially for low power applications. However, despite significant efforts on catalyst development in the past, only limited studies have been performed on NPMC-based electrode […]

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Webpage customer persona discovery and push notification guidelines

Cellphones get notifications from different companies every day, but we do not know whether these notifications have a significant impact on customers’ behaviour. Knowing the impact of these notifications would provide useful insights to marketing strategists. Since user behaviour will determine the efficacy of push notifications, this project initially aims to build a behavioural model, […]

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Waste heat recovery in aluminium smelters: technical and economic analysis

Aluminium smelter are energy intensive and not particularly energy efficient, as most of the energy required to produce aluminium is lost along the production line. This is the reason why it is mandatory to perform a detailed analysis of the thermal wastes produced in these factories. The main objective of this project is to investigate […]

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Increasing Patient Engagement and Informing Marketing Decisions through the use of Patient Personas and Patient Journey Mapping

Mobile health (mHealth) apps allow patients to practice self-care and manage their chronic diseases. Common functions in mHealth tools allow users to monitor their symptoms and mood, keep a thought diary, track medication use and trend information; this provides data that can be used to better understand patient behaviour to ensure that patient needs are […]

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Development of new techniques for power system model validation and calibration

Dynamic modeling is one of the most important tools for the power system operation and planning purposes. In order to study the behavior of the system, which is subjected to disturbances, a valid knowledge of parameters of system components is essentially required. The objective of this project is to propose an applicable algorithm to identify […]

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Ground Spatial Filtering in Near-Field Scanners

Near-field measurement is a key and inseparable part of Antenna characterization and electromagnetic diagnosis applications. Providing a fast method to perform this type of measurement will be of significant added value to the RF industry. Traditionally, near-field measurements are performed inside an echoic chambers and using a mechanically sweeping probe. This type of measurement is […]

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First Nation Environmental Review and Analysis

The Government of Canada is in the process of reviewing legislation and procedures related to environmental processes, e.g. the Canadian Environmental Assessment process (CEAA) and the National Energy Board process (NEB). Indigenous groups across Canada have participated in engagement sessions, and made formal written submissions which have been made publically available. This research project will […]

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Network Traffic Classification for Cyber Threat and Malware Detection

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast […]

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Automatic Code Partitioning for XPU Acceleration

Based on 7 years of R&D, Secodix has developed a processor, the XPU, that is faster by two orders of magnitudes compared to existing processors. To leverage the technology, we need to provide software programmers the ability to use existing programming languages (in particular, C++) while benefiting from XPU performance. To enable that, we need […]

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Construction of a Genetic Variant Store

This project proposes to explore and implement a method of storing and retrieving data relating to genetic variation across a population of individuals. Due to the large amount of genetic information each person possesses, such a database requires special attention to minimize the amount of data stored and to create efficient methods of accessing the […]

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