Plant-based beverages are inappropriate alternatives to bovine milk, due to lower protein content and not sufficient amount of essential amino acids. To produce nutritionally complete plant-based beverage with high overall acceptability, the technological interventions and fortification techniques need to be developed. Oat is one of the promising raw material for preparation of functional plant-based milk […]

The needs for protective equipment are many, and range from use at home to many industrial sectors, such as: construction, mechanics, forestry, oil and gas, health, and manufacturing. There are many reasons to wear protective equipment: to provide improved grip and resistance to chemical exposure, pathogens, heat, cold, abrasion, punctures, cuts, crushing, and impact. In […]

Model-free Reinforcement Learning (RL) has recently demonstrated its great potential in solving difficult intelligent tasks. However, developing a successful RL model requires an extensive model tuning and tremendous training samples. Theoretical analysis of these RL methods, more specifically policy optimization methods, only stay in a simple setting where the learning happens in the policy space. […]

Across Canada, many families struggle to find high quality, affordable child care. Most child care options for families are limited to daytime and weekday work hours; this creates even greater challenges for shiftworkers who rely on paid child care. When child care is not available, mothers usually bear the greatest burden as many women, whether […]

The following research will explore how Indigenous peoples’ within Canada and New Zealand are engaged in the management of wildfire. Interviews will be conducted with senior government officials and senior Indigenous leaders during individual case study’s with Nova Scotia, Ontario, Saskatchewan, British Columbia and Northwest Territories in Canada and within the country of New Zealand […]

Occupational stress conveys risk of Posttraumatic Stress Disorder (PTSD). In PTSD, early diagnosis and early treatment interventions are advantageous for positive outcomes. We will develop novel technology for early diagnosis of and prediction of vulnerability to PTSD in military and first responder personnel. Based on our existing collaboration on identification of symptoms and prediction of […]

The rapid development in the areas of statistics and machine learning demonstrate unprecedented performance in making cognitive business decisions. Quartic.ai aims to use state-of-the-art machine learning technology to help manufacturers assess and maintain the quality of their industrial units, which suffer damage due to continuous usage and normal wear and tear. Such damage needs to […]

Dust generated from haul roads poses a health and safety threat to mine sites. Traditionally, water has been applied on mine haul roads to control the dust. Using chemical surfactants to form a solution of chemical suppressants has been considered as a more effective method to control fugitive. However, the use of chemical dust suppressants […]

To enable the development of self-driving vehicles, an accurate characterization of automotive radar modules under various road or weather conditions is required to ensure reliability is maintained under all circumstances. With this fundamental building-block established, ACAMP will be able to support Canadian technology companies in the development of autonomous vehicles. This project will also provide […]

For patients with end-stage disease, like cirrhosis, their only treatment option is life-saving organ transplantation. The wait for an organ can take many years over which the patient’s condition continues to deteriorate as there is no other treatment. However, maintaining physical activity and a good nutritional intake is necessary to remain on the wait and […]

The scope of this research is to develop new equations for the load distributions beneath timber mats from a crawler crane, for various types of soil, by using numerical software. This would enable industrials to accurately estimate the behavior of stresses in soils, in order to reduce the costs of ground preparation for cranes by […]

Research problem: Reclamation practices in regions known to be undergoing rapid climate change must consider what adaptive measures could be implemented to maximize short-term reclamation success and long-term resilience of reclaimed sites. Objectives: I will investigate how a multi-scale ecological classification system can be used to predict regeneration success of different forest tree species at […]