Addictive Mobility is a leading online advertising company in Canada. The success of ad campaigns drives the majority of the company revenue. Exploring advanced machine-learning techniques to efficiently control an ad's performance is crucial to the company strategy. The objective of the proposed project is to optimize the real-time bidding system in the sense that […]

How to define user requirements accurately and design user interface appropriately have been a very active research area concerned with human-computer interaction and graphic design. Because of the scale and the complexity of three-dimensional (3D) animation software, making correct design decisions becomes tougher. Houdini is a 3D animation software as well as the main product […]

The project aims to build a 3D object detection system by using a number of images from multiple cameras. The system will train on instances of objects to detect other instances of the same object. This means that if, for example, we want to detect a sphere, we will make the system learn how a […]

We propose to leverage social networking in a series of apps designed to improve the quality of life for persons with cognitive disabilities. We believe the success of companies for recreational athletes, some with over 15 million users, is linked to motivation and partnering, in addition to the analysis and tracking features. Building on our […]

This project will investigate how software developers work with structured information. It will use information about that interaction to improve tools needed by developers. It will assess whether those tools improve the productivity of software developers. The project will also compare the access patterns of users of business intelligence applications to those of developers to […]

The company collects survey data from websites which is combined with behavioural data from survey respondents. This combined data set is information rich but can be too sparse for modelling purposes in a straight forward supervised learning context. As such, on-going research concerns optimizing the process by which non-survey related behavioural data can be leveraged […]

Mobile robots equipped with chemical, radiological and explosive detectors are deployed during events where CBRNE materials have been dispersed; sending robots provides key reconnaissance data while reducing personnel exposure. Operators rely on camera views and on-board detectors to drive the robots using joysticks, and they have to control every aspect of the robot operation. Live […]

The project will develop a data mining strategy on how to efficiently use Geotab’s data from multiple sources to isolate network connectivity logs in Geotab’s data, interpolate the GPS coordinates associated with network logs, acquire fuel consumption rates and related opportunities. It will involve a literature survey of the existing algorithms to gain valuable insights. […]

Perform an exploratory research to investigate the potential to extract knowledge by aggregating historical data across the company's clients and applying machine learning techniques on them. The goal is to device prediction models that can forecast the condition of certain events(such as life of pipelines) using statistical analysis. Riva Modeling( partner organization) will benefit from […]

Through this research project the intern will investigate the potential of data visualization incorporating a social collaboration element tied to typical data types in asset management. The partner organization Riva Modeling Systems will benefit from the proposed research by providing its clients with an enhanced asset management tool that allows various groups or individuals within […]

Facing looming infrastructure crises, municipalities around the world are implementing asset management policies to maximize level of service to residents through optimized scheduling of maintenance, rehabilitation, and replacement of assets. Scheduling optimization problems have been studied extensively in computer science and it is believed that an exact solution to such a problem would take an […]

Communicating with peers online is an increasingly popular activity for children and teenagers, which has led to growing concerns about bullying and other forms of malicious behaviour in online chat rooms and virtual worlds. Although some online forums are patrolled by human moderators, the amount of text being generated is typically too large even for […]