The proposed research is a collaboration between Virtro and SFU’s iVizLab to collaboratively work on ways to understand the processes involved in analyzing and visualizing 3D spatial data. iVizLab’s research focuses on AI based computational models, in this case a data visualization tool that help users analyze 3D spatial data. In creating this user interface, […]

In Canada healthcare is being modernized and transformed through a range of new healthcare information technologies and systems. Applications of information systems such as electronic health records (EHRs), electronic medical decision support and an increasing range of mobile health applications promise to transform and improve healthcare and increase patient safety. However, although such technology has […]

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing new modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks and transformer […]

Hardbacon s’apprête à lancer un nouveau produit afin de répondre au contexte d’incertitude économique créé par la pandémie du Covid-19. Non seulement les Canadiens sont plus soucieux que jamais de payer moins de frais sur leurs services financiers, mais la plupart des entreprises offrant des comparateurs ont mis fin à leurs programmes d’affiliation en raison […]

Blaise Transit seeks to grant public transit agencies the ability to replan their bus lines in real-time based on requests made by riders using the Blaise app. The main objective of this project is to design and implement algorithms ensuring this business goal can be achieved, namely by continuously improving Blaise’s current routing algorithm.

The Machine Learning team at Aifred Health is aiming to improve the performance of their core decision support models and the intern will assist in the development of a system that will intelligently iterate across dozens of unique model configurations to find the best performing one by leveraging previous configurations and their performance outcomes. The […]

Virtual Production (VP) is seeing a dramatic spike in interest and adaptation as the global film industry, particularly Hollywood, has been shutdown due to Covid-19. Virtual production is a broad term referring to a spectrum of computer-aided production and visualization filmmaking methods, and is also being used for broader applications from animation to industrial visualization. […]

This project is the first step to providing Thinking North’s Purple Squirrel recruitment platform to go beyond traditional matching with a novel, data-backed holistic candidate matching process. To provide a robust system, Thinking North is collaborating with Seneca’s School of Software Design and Data Science to use advanced artificial intelligence and gamification techniques to combine […]

Innovasea produces fish tags and receivers to track the presence and motion of fish and marine mammals while underwater. Fish tracking (acoustic telemetry) is used by researchers worldwide to determine the abundance and habits of marine life, make decisions about fishing seasons and allowed catches, and help protect marine mammals. Innovasea has developed a novel […]

Ce projet consiste à extraire la nature des accès informatiques des employés d’une organisation et les consolider afin de permettre au gestionnaire de l’employer ou à un auditeur d’avoir une vue d’ensemble des accès informatiques de ses employés. Les employés qui arrivent ou quittent l’organisation, ou changent d’emploi dans la même organisation exigent une révision […]

To communicate with their end users, businesses regularly produce written documents such as letters, notices, statements, etc. in various languages. A set of rules are usually used to ensure that information in these documents is ‘correct’ and consistent across languages and communication channels. However, with the increasing volume and variety of information being sent out […]

Predictive modeling of financial data, especially trading activity or asset prices, is a very challenging task. There are a number of novel approaches to feature engineering, data preparation and model architectures that aim to mitigate some of the problems that arise from non-stationarity and other issues typically found in financial time series data. This project […]