Recently, the nature of media advertising has changed dramatically due to the introduction of highly efficient addressable advertising models. The latter have the ability to deliver different ads during one advertising spot to the viewers of same network, depending on household demographic profiles. The new models provide industry with the opportunity to maximize advertising revenue […]

A large amount of health-related data is available only in unstructured form (“free-form text”). To share this data for secondary purposes, it is necessary to de-identify it to protect against inappropriate disclosure of personal health information (PHI). PARAT Text is Privacy Analytics’ de-identification software for unstructured data. It automatically discovers and marks PHI in a […]

The objective of this project is to develop a system that provides video recommendations to the user based on the content of the video they are currently watching. Existing methods generally create their recommendations based on the title or tags of the video or on the viewing patterns of other users who have watched the […]

AlGaN/GaN high electron mobility transistors (HEMTs) have emerged as promising candidates for high breakdown, high power output, and high operating temperature applications. However, there are several problems that hinder its practical use such as current collapse and high gate leakage current. Most of available studies use analytical formulas and only analyze a certain aspect. Physical […]

The Centre for Operations Excellence Industry Projects consists of five sub-projects sponsored by four different industry partners. Each sub-project represents an important challenge for its sponsor. These sub-projects include using analytics to optimize sawmill production for Interfor; production planning for Tree Island; developing text-mining techniques to enable WorkSafeBC to predict and prevent workplace accidents; using […]

The intern shall endeavour to develop a vehicle detection system for aerial satellite views with a reasonable accuracy and a reasonable execution time for a small urban area of 100 sq. km. The intern first will train, test, and evaluate a machine learning engine to automatically recognized the vehicles of interest in aerial satellite imagery. […]

The goal of this research is to investigate, design and evaluate user-adaptive visualization systems, which personalize interaction based on the individual needs of a given user. In order to achieve this goal, a visualization system is required as a starting point with which to carry out this research. As a first step, this research aims […]

In STEM education, many problem sets require a student to answer a question with a drawing. For example, kinematic physics or statics/dynamics engineering problems often require the student to construct a free-body diagram as a necessary step in the solution. However, when such subjects are taught through online education (such as though a MOOC), most […]

The internship will be divided into two parts (4 months each). In the first half, I will be working with Freshbooks´ IOS product. They currently use apple’s data storage called Core Data. It’s an internal data storage system that is built-in to the phone, and allows the application to work without an internet connection. I […]

Social networks have become an important information hub with a huge customer base. Hence businesses try to leverage social networks in their advertising and marketing campaigns. One of the advantages of social networks is that the users can influence their community and friends. Detecting influential users provides multiple benefits for businesses such as more effective […]

To support the development of a developers’ toolkit for educational digital applications that use mathematics content, Erudite Science is creating a library of mathematics content and functions. Because mathematics is such a vast field, typical application functions such as search, manipulation, and inference, frequently return irrelevant results. The search process can be facilitated through the […]

Energy networks are often very complex which results in highly unpredictable congestion patterns in the physical constraints of the network. Most efforts to model congestion in energy networks are made on toy problems. Here, the objective is to model and predict congestion in a real physical energy network using automated machine learning systems, in particular […]