This project will seek to use novel radar technology in addition to computer vision to remotely detect vital signs (Heart Rate, Respiratory Rate, Movement and Temperature) of multiple patients. This will help lead to decreased morbidity of patients in areas such as waiting rooms, hospital or police seclusion rooms and other unique environments such as […]

Recreational river waves are gaining more and more popularity, but there is not enough academic research to support them and a few companies around the globe can artificially create them by adjustable structures in rivers. Surf Anywhere, the Calgary-based partner organization in this research, is one of those few companies which has completed and is […]

Automotive Open System Architecture (AUTOSAR) is a system-level standard used worldwide by automotive companies and suppliers to develop standardized software development frameworks for automobiles. The RTE software of AUTOSAR should be configured to develop an Electronic Control Unit (ECU). The manual and semiautomatic code creation phases of the software development process for the RTE is […]

Atherosclerosis is a disease defined by unresolved inflammation in the major arteries. High cholesterol is a major risk factor, resulting in fatty lesions developing silently for decades before causing heart attacks and strokes. Currently, no therapies exist that target the cells of the artery wall to suppress this disease. Myeloid cells (MCs) are white blood […]

The focus of this project is replacing some of the current automotive parts by a stronger and lighter thermally-conductive polymer nanocomposite. This project takes advantage of the exceptional mechanical and thermal properties of graphene as a commercially viable and environmentally friendly nanomaterial, through an industrial scale process, i.e. injection molding. Therefore, the outcome of this […]

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 […]

Mandatory reporting limits established by Health Canada for pesticide testing in cannabis are typically lower than those published in various U.S. states. Because dried cannabis leaves and flowers generate many co-extractives that can negatively impact testing results, a simple and cost-effective sample preparation and analytical method needs to be developed to meet the demanding testing […]

Education has been undergoing a major shift in recent years. With the rise of social media, handheld devices, and the internet itself, schools have been encouraged to adapt to these developments. One aspect of these movements that has not been given as much attention in education, is that of video games. Many video games today […]

Working with Avicanna Inc., a Canadian biopharmaceutical company with advanced natural cannabinoid solutions, we will develop an easy-to-use preventative treatment, in the form of a mouthwash and/or throat gargle product, for both clinical and at-home use. A critical step of the infection is when the virus enters human host cells, which is enabled by the […]

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. Learning with deep neural networks has enjoyed huge empirical success in recent years across a wide variety of tasks. Lately many researchers in machine learning society have become interested in the generalization mystery: why do overparameterized DNN […]

Overactive bladder (OAB) is an incurable, chronic medical condition that is characterized by symptoms of urgency, frequency, nocturia and urinary incontinence. It affects approximately 18% of adults and over 30% of the elderly population. Saphenous nerve stimulation is a novel therapy aimed at treating OAB patients. It offers an alternative to bladder medication, which can […]

The project will build an Artificial Intelligence-powered Bias Detection tool to identify bias and discrimination faced by employees of a company. The tool will take in free-text content from employee surveys, internal reviews and social media, and produce a score indicating whether the author of the content is likely facing or exhibiting bias. Algorithms will […]