Generative models for controlled generation of synthetic sequence-based datasets

At a high level, the goal of this project is to create a system for producing synthetic datasets based on real data. As a large financial crime detection firm, Verafin deals with large volumes of sensitive data which must be kept private, however they are also interested in collaborating with academics to gain new insights into their data.

An Assessment and Ranking of Sustainable Material Alternatives to the Soon to be Banned Single-Use Plastic Products

According to the government, Canadians throw away more than 3 million tons of plastic waste every year, and only 9% of that plastic is recycled. A lot of this plastic litter which has found its way into Canada’s freshwater environments, is comprised of single-use plastics. DYA – a sustainable consumables startup is striving to understand which mix of materials will give them the greatest competitive advantage within their market segment. The research used to develop and support this research project will consist solely of secondary sources.

Documenting Existing and Potential Models for Virtual Pharmacist Care in North America and Europe

The current pandemic has highlighted the need for utilizing virtual care in pharmacy practice to ensure accessibility to medication and pharmacist services while maintaining social distancing to limit the potential of contagion. As pharmacist virtual care becomes more prevalent, it is important to explore the various models that currently exist or are being developed. This project will aim to explore models of virtual pharmacy care that exists across North America and Europe.

Development of a software module for integrity analysis of subsea pipelines facing ice-induced geohazards

The Arctic Region is considered an extreme environment for natural resources extraction. One potential threat to an Offshore Pipeline is the constant movement of ice based structures, such as icebergs and ice ridges. The project is focused on developing a numerical methodology to simulate the effects of ice gouging/ ice scouring on buried pipelines. The developed tool will incorporate all the latest advances in terms of soil properties and sophisticated interactions modeling between ice, soil and pipeline.

Managing the transportation of hazardous materials with disruptions and uncertainties

Given the harmful nature of Hazardous materials (Hazmats), the corresponding transportation and storage processes are always associated with substantial levels of risks. Targeting the real-world circumstances with disruptions and uncertainties, the proposed research aims to seek alternative and adaptive solutions for proper locations of Hazmat facilities, suitable assignment of customers to active sites, and efficient routing plans from both cost and risk perspectives.

Facilitating Indigenous co-management of wildlife in Manitoba through collaboration on sustainable camera trap monitoring

This project aims to build strong collaborations with Indigenous communities across Manitoba to monitor large mammals using camera traps. The goals of this study are to facilitate Indigenous co-management of wildlife with the provincial government in Manitoba and to inform management of declining species, especially moose, with regards to the factors which are driving decreasing population sizes and distributions.

Advancing Tele-Rheumatology Platform

This project is the extension project of the previous Tele-rheumatology project. In the previous project, we have designed and developed three components: hardware platform, which is the capturing device for rheumatoid arthritis patience movements by using both 2D and 3D cameras; the capture system, which is used by general practitioners to control the hardware platform; and the physician portal, which provides all the captured information from patience to rheumatologists for diagnose purpose.

Workforce Innovation Through Social Enterprise

Social Enterprise is a catalyst for social and economic empowerment and inclusion, and has been identified as an innovative opportunity to address workforce challenges and economic sustainability in Southwestern Newfoundland.

Investigation of rut and moisture damage resistant additives for asphalt mixtures

The main goal of this research project is to reduce the rate of occurrence of these distresses by designing and developing improved asphalt binder and asphalt mixtures appropriate for St. John’s environmental and loading conditions. The project will develop recommendations on specifications for asphalt binders, modifiers and asphalt mixtures to enhance the rutting and moisture resistance of pavement.

Applied research in dynamic risk analytics using machine learning

Risk analysis has a primary role in safety-critical industries such as oil and gas explorations, marine and pipeline transportations, and downstream operations. This essential task is facing a series of challenges due to the increased complexity and volume of generated data. Due to the recent advancements in cloud computing power provided by the two giants: Google and Amazon, a powerful web-platform for advanced risk analytics and predictions is currently under development. SRCube Technologies Inc.