Traditionally, drug discovery is a long and costly process, which consists of many stages and on average takes a total of more than 10 years, because it screens huge amount of drug candidates by conducting chemical and biological experiments which are expensive and time consuming. This project aims to apply graph representation learning technologies to […]

An existing Forex currency trading system has demonstrated a proof of concept on a static data set. The current project proposes to implement the trading system for real-time applications taking advantage of available geospatial information which can influence currency markets. The novel methodology will be based on building a high-dimensional weighted autocorrelation model between real-time […]

One purpose of the proposed research project is to contribute to the My Normative (MyN) app development by increasing the number of users on the app and maintaining long-term app usage. The second purpose is to verify the accuracy of the app’s menstrual cycle prediction in female persons of varying cycles less than or greater […]

The goal of this project is to use information from color cameras, greyscale cameras and LiDARs to detect objects of interest at the farm,as well as estimate the location and orientation of those objects. This research would allow Mojow to develop a 3D object detection system which can be used in their decision making systems. […]

In the era of big data, software based on artificial intelligence has greatly improved the quality of people’s lives. Although data is not a scarce resource, the data we collected are usually incomplete due to many reasons, i.e. they contain some missing values. Simply deleting these missing data will not only cause great waste, but […]

This project seeks to answer the overarching research question, how can the use of simulation-based learning (SBL) within a community-based setting improve access to training and the development of clinical practice competencies in practitioners (e.g. social work/psychology students/professionals). The project will expand access to experiential learning within a community-based setting using multiple modalities within the […]

Personal protective equipment (PPE) for essential workers in flammable environment requires two essential traits: fire resistance (FR) and fitting comfort. The fitting comfort is especially an issue for women firefighters, whose protective clothing are not appropriately catered. Elastic fibers in sportswear, such as Lycra, offer superb fitting and comfort, but their FR version is commercially […]

Highly contagious respiratory viruses such as severe acute respiratory syndrome corona virus (SARS-CoV)-2 and influenza A virus (IAV) transmission occur via commonly touched surfaces since these viruses can be active on these surfaces for various lengths of time. In the proposed experiments, we partnered with industry (UTechnology, Calgary) to evaluate two methods that could be […]

Ventricular drainage is commonly performed in neurosurgery departments or in theemergency room. It consists of inserting a catheter into the brain, using a needle, until it reaches the frontal horn to drain cerebrospinal fluid for therapeutic or diagnostic purposes. Nowadays, the learning of this gesture is only performed by companionship: there is no effective simulator […]

Nestling survival is known to decrease with lay date (Anctil et al. In Press). Although this pattern is consistent with one aspect of the condition-dependent model, the data describe only a single breeding season. The objective of this project is to use a 30 year data set to investigate the relationship among arrival date, clutch […]

The hydrologic cycle in major cities is influenced by roadways, rooftops, and other features, resulting in greater runoff and poorer water quality. At airport sites across Canada, de-icing compounds can also degrade water quality by altering water chemistry in surface ponds as well as subsurface water (i.e., groundwater). This project aims to characterize water movement […]

With the development of imaging technology, camera trapping becomes one of the best ways to record the presence and activities of large mammals in a given area. The approach to monitoring the animals can assist people in the community with decision making about preserving biodiversity. In the past, experts analyzed such images manually, which required […]