This project involves the design and development of a Visual Analytics (VA) tool that will allow analysts to quickly expose relationships and regions of interest in very large data sets that encode complicated graphs and networks. The tool’s development will be guided by frequent interviews with analysts at Aeroinfo/Boeing and the BC Cancer Genome Sciences […]

For many persons with disabilities, for example those living with cognitive or visual impairments, it is often impossible to drive a personal vehicle and to travel independently, whether to school, to therapy, to their work place or to visit their friends. Because of their challenges, they must rely on caregivers or family members for transport, […]

Dialogue is Canada’s leading telemedicine provider, founded to improve well-being by using technology to deliver excellent care. Dialogue is a pioneer of virtual health care dedicated exclusively to organizations that want to improve the health and well-being of their members and families. We provide effective health solutions through outstanding health care experiences and a focus […]

The Arctic Research Foundation (ARF) is a private, non-profit organization creating a scientific infrastructure for the Canadian Arctic. Over the years, it has generated and collected a huge volume of big data. These valuable big data need to be managed. In response, we design an effective database to (a) integrate these big data (which may […]

The proposed research project to be undertaken is to develop a fully functional online RFP management application that is secure, intuitive, and is well positioned for acceptance and adoption by the biopharma industry, with focus on the Innovator (sponsor) and Provider segments. The expected benefit to the partner organization is the ability to provide a […]

We present a method for automatically estimating the lighting conditions from a single image. As opposed to most previous works which proposed methods that deal with individual aspects of the problem (e.g. indoors vs outdoors, parametric vs non-parametric), the proposed method unifies these ideas into a single, coherent framework. Our method will automatically estimate both […]

The Coda Continuous Delivery platform leverages advanced artificial intelligence techniques to accelerate innovation in software development and delivery. The project aims to improve the speed in which a software development team can achieve quality code and reduce the number of issues seen by customers in production. Using a continuously learning platform, Coda catalogues historical issues […]

We will develop a conversational assistant that can answer Canadian employee and employer questions about Covid benefits. The assistant will ask the user a minimal, easy-to-understand set of questions to help them figure out whatever benefits they are eligible for and will direct them to the relevant sites for applying for these benefits. The partner […]

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge them with more and more complex tasks. It is necessary, therefore, that the core engines of CAS implement state-of-the-art algorithms. At the same time, CAS need to build new bridges to specialized software […]

This project aims at developing a conversational agent for autistic people and their families, based on highly accurate training datasets while deploying Natural Language Processing (NLP) and Deep Learning (DL) techniques. This project will help promote inclusion and diversity into AI design by using the right data to train the conversational agent system to be […]

Training personnel to operate machinery in the construction workplace requires a major devotion of time, resources, and safeguards. Recent methods involving virtual reality and motion base simulators have drastically enhanced the training process, but some users of these new methods report sickness and discomfort. This research aims to remedy this issue with a theoretical and […]

Traditionally, artistic communities relied on face-to-face encounters to learn their skills, collaborate, and showcase their work. Due to COVID-19, performances in the arts have been abruptly halted and traditional music lessons take place at a studio has stopped. This project aims to examine and provide a prototype solution to mitigate the challenges in artistic collaboration […]