This research project seeks to improve the process which is used to recover fine phosphorous particles from mine tailings. Phosphorus based fertilizers are important for plant growth and essential to large-scale, high-efficiency farming methods. However, the processing method used to obtain phosphate from phosphate-bearing ore is not very efficient. Upward of 13 % of the […]

The proposed research project will conduct feasibility studies on the purification and conditioning of industrial, hemicellulose derived C5 sugars from a number of potentially commercial liquor fractions, derived from lignocellulosic biomass. In the first two Mitacs projects, enzyme hydrolysis showed considerable benefits over traditional acid hydrolysis for S2G’s bio-glycol production. However, relatively high enzyme loadings […]

The great number and variety of factors influencing the survival of migrating salmon smolts in the early marine environment makes it difficult to understand the causes of recent declines in smolt survival and salmon population productivity. We will combine novel methodologies (biotelemetry and biomarkers) simultaneously to examine a variety of factors influencing the migratory behaviour […]

Peanut is one of the leading foods that can cause food allergies. An extremely low amount of peanut protein is sufficient to cause mild reactions in people who are sensitive to peanut. Over 90% of allergic reaction cases derived from peanut digestion are related to Ara h 1, a glycoprotein that comprises about 15% of […]

This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. […]

Pesticide detection in water has become a high priority worldwide, from protecting the population from environmental contamination due to agricultural pesticides, and bio-threats from terrorist activities. An exhaustive characterization of water pollutants requires laboratory-based analyses which are inherently slow and expensive. Thus, regarding the above mentioned pesticide contaminations, developing a real-time and in-situ detection technique […]

Canada is currently experiencing a cat overpopulation crisis, fed in large part by the uncontrolled breeding of domestic animals. While homeless and feral cats may add to the problem, much of the population explosion is being driven by unsterilized cats, whose owners have chosen to leave them intact. A single unaltered female cat and her […]

Liquefied natural gas (LNG) has up to 20% CO2 and 90% NOx fewer emissions than diesel; making it a cleaner alternative fuel for mobile applications. LNG has high volumetric energy density and is cost effective ($0.5 cheaper than diesel gallon equivalent). However, LNG is stored at low temperatures (-162ºC) and releases boil-off gas that contributes […]

Bladder cancer is the fifth most common form of cancer in Canada, however progress in the development of safer and more effective therapies has been slow. The use of antibody drug conjugates (ADC) is a promising therapeutic option that would allow for targeted killing of cancer cells, if the obstacle of getting the drug inside […]

This project aims to use literature evidences and data analysis techniques to develop new mobile games that train people’s “emotional intelligence”. The company will build the product prototypes based on current literature evidences and theoretical models. Then the data generated from the games will be evaluated to inform product performance, efficacy, and future developments. This […]

Modern distributed applications are becoming increasing large and complex. They often bring together independently developed sub-systems (e.g., for storage, batch processing, streaming, application logic, logging, caching) into large, geo-distributed and heterogeneous architectures. Combining, configuring, and deploying these architectures is a difficult and multifaceted task: individual services have their own requirements, configuration spaces, programming models, distribution […]

A previous mathematical model of an offshore wind turbine was established and then, a positional controller was designed and simulated for a single Wind Turbine in order to provide movement around an area using the force of air that acts on the wind turbine. The goal of my research project is to validate this Position […]