The project attempts to tackle an important challenge in Artificial Intelligence (AI), to give a machine an ability to comprehend multiple documents like humans do. These can do the redundant or preliminary reading-based research performed in many domains. The project aims to create a system which can read, understand, and answer queries and/or summarize multiple […]

Alzheimer’s is the most common form of dementia which worsens over time. Current therapeutic against Alzheimer’s disease provides only symptomatic treatment. This limited effectiveness provides us with an opportunity to direct our research efforts towards developing new agents to prevent or retard the disease. Studies have shown that very small amount of tetrahydrocannabinol (THC), a […]

The primary objective of the project is to approach the problem of understanding true causality of vehicle accidents and scientifically determining which vehicles and drivers are at highest risk of an accident from a machine learning perspective. Geotab has a number of identified collisions in X, Y and Z planes, and much more. The research […]

Serving as the most widely-used body part for communication, hand is a very important tool for human to interact with the world. Especially with the continuing development of virtual reality and augmented reality, hand pose information has gradually become an indispensable component for improving users’ experience in interacting with computing devices. Therefore, this project aims […]

Artificial intelligence, especially Machine learning algorithms, plays important roles in building recommendation systems and promotional forecasting systems for retailers. However, training a machine learning model requires the choice of a number of significant features and requires tuning a large set of configurations. Therefore, it takes a long time for humans to find the optimal configuration […]

In-vivo imaging provides a unique opportunity to examine complex cellular activity in live tissue. Images produced by these experiments are difficult to analyze manually, typically applied to mono-layer cell culture assays (i.e. cells in a dish). Recent advances in deep learning enable the opportunity to analyze these in-vivo tissue images with greater efficiency and accuracy. […]

The intra-operative errors that occurs in adverse events have been a major concern in healthcare and surgical industry. Conventionally, error-event assessment is done by peer surgeon review, which is time consuming and costly. With the advances in machine learning and computer vision techniques, it is possible to keep track of the operation surgical procedures based […]

For the past fifteen years, People for Education has surveyed schools about measurable resources in order to understand the impact of policy on schools, and to track changes in the education system. Public education can and should play an important role in reducing the extent to which students’ socio-economic background affects their performance in schools […]

The Mercedes-Benz Fuel Cell Division (MBFC) in Burnaby, Canada develops and runs the manufacturing processes required for the assembly of Fuel Cell Stacks prototypes. MBFC uses the Manufacturing Execution System (MES) to collect and analyse data from the manufacturing lines to the database system. However, because the size of the collected data is very large, […]

Babies who are born prematurely are at risk of developing a condition called Retinopathy of Prematurity (RoP), which if left untreated, can lead to permanent blindness. RoP causes characteristic changes in the retinal vascu-lature, which can be seen when looking into the eye. Because the infants need to be monitored regularly for this condition, and […]

The two internships proposed in this application are for research and feasibility project coordinators for the North Coast Innovation Lab (NCIL) in Prince Rupert, BC. In addition to research and feasibility around potential projects that will a) grow the local economy for fish and marine products, and b) enhance coworking and resource sharing, the internships […]

Pollutants in stormwater runoff and municipal wastewater are grave concerns to the receiving environment of lakes and streams, as nutrients (Phosphorus (P), Nitrogen (N)) contribute to eutrophication. While rain gardens are effective to retain and retard stormwater runoff and removal of certain organic pollutants, limited studies have been conducted on nutrient capture. This research focuses […]