Merging different sub-companies into TELUS caused some of customer records to be repeated through the merged data-set. Algorithms are needed to determine the duplicate records. Currently a deterministic algorithm is being used in TELUS. In this project, we will investigate if machine learning can help to detect duplicates. Solving this problem has several parts. We […]

NightShift optimizes customers’ bandwidth usage when using streaming services. It does this by taking advantage of off-peak bandwidth availability to cache digital media content addressing both problems of limited bandwidth (which impacts real-time streaming) and bandwidth quotas (which can result in bandwidth throttling or overage charges). The goal of this research is to explore interfaces […]

The primary functions of the Risk Alive Analytics tool are to predict risk and time to unsafe days and predict the occurrence of hazardous events (incidents with the potential to cause injury to personnel, damage to the environment, or financial loss) at given processing facility(s) and in addition develop a Risk Profile of a facility […]

Enhancement of technology and computer science has helped researchers in multiple fields and industries, from health care to automotive industry. Smoking is one of the habits that could harm humans dramatically. Lung cancer, heart attack is just some of the diseases that come with smoking. A large number of people strive to quit smoking each […]

Currently, the camera in your smartphone can take 2D color pictures. We have developed a new type of camera that can also provide you with depth at each point, not just color. Having depth and where objects are relative to each other in the scene open the door to many different new possibilities, for example […]

This project involves researching and integrating constraints into existing route and schedule optimization software. The partner organization (Western Heritage) has developed software that calculates the shortest route and optimal daily schedule for home care workers visiting patients in their homes. These schedules must consider constraints for each worker and patient, such as: smoker, pet in […]

Recent technological advancements have led to widespread usage of interactive and collaborative systems in educational settings. In particular, SMART Technologies’ interactive products are being widely used at schools and universities across the country. Although this is a valuable achievement, it also presents new challenges to evolve these systems to new user needs. For example, one […]

Pests and diseases are major problem that growers face with plants. Ecoation Innovative Solutions Inc. (EIS) is proposing a solution to this problem that turns to plants as reliable source of information about their own health and well-being. EIS will provide data from different sensory measurements for clean and infested plants. We intend to use […]

People are social creatures and interacting with others is a fundamental human behavior. As people spend more time online, a larger part of their social life also become online. Online Forums such as Reddit have become very popular because of this. In this project, we want to define the what health means with regards to […]

The objective of this project is to develop an analytics platform that will give us an understanding of sensory data in predicting trends and relationships between sales and wine sensory data. The wine sensory data we will use in this project is entered by reviewers and consumers rating various attributes such as Aroma, Appearance and […]

The project consist of developing a novel interface to control a fleet of quadcopters in an emergency situation. The interactive system will have to interpret the user intent in such a way that minimum cognitive resources are required. Humanitas products target non experts in robotics whom need to maximize their concentration on medical support and […]

Over 350 million people worldwide suffer from depression. A key part in diagnosing depression is screening questionnaires, which rely on patient self-reports of the recent past. With the advent of social media and wearable devices, there is an opportunity for a novel approach to detecting when a patient diagnosed with chronic depression becomes acute. In […]