Current analytical methods used for gluten detection are not able to discriminate the specific source of gluten and tend to overestimate the overall gluten content if from rye and barley by at least 10-fold, leading to limit food choices for coeliac patients. The main objective of this research is to initiate the development of bioanalytical […]

Plants, like humans, sometimes get sick because of the activities of pathogens. When crops are diseased, their growth vigor will be severely damaged, leading to tremendous yield loss. To cure plant disease, farmers have been relying on synthetic pesticides for centuries; but the over-use of synthetic pesticides has caused pest resistance and serious environmental issues. […]

To ensure effective cancer treatment, it is vital to match the drug with the molecular characteristics of the patient’s tumor. This research project is focused on developing functional diagnostic assays that may be used eventually in the clinic to stratify patients for targeted therapies. The project will provide a unique opportunity for the interns to […]

OSSimTech develops and sells virtual reality (VR) surgical simulators. This proposal aims to improve the efficiency of the simulation of cutting and deforming organs. The current simulator used by the company is appropriate for a range of surgery scenarios, but for several scenarios, it is too long to compute. The company has plans to expand […]

Many mineral ores are concentrated by froth flotation, a process that often uses toxic chemicals to selectively alter mineral surface properties. With increasing regulatory restrictions, the industry could face a dead end with no alternative reagents that are sufficiently efficient, low cost or environment friendly. It has been previously shown that peptides could selectively bind […]

Breaking Barriers to Social Conscious Business in Edmonton is a research project that aims to help the business community in the Edmonton downtown core and beyond better serve their community through socially-conscious business practices by shedding light on what barriers and facilitators business owners face in adopting socially conscious business practices in their day-to-day operations. […]

Research in Machine Learning and Artificial Intelligence has been applied to image recognition. Weather modeling and prediction make use of distributed computing. Forestry research produces ground cover models and economic value predictions. These active research disciplines are all implicated in the emerging area of big data analytics as applied to the needs of the industrial […]

The large global production quantity of particleboard and medium density fiberboard (MDF) creates equal quantity of particleboard and MDF waste after completing their service life. Given increasing demand for green products and the new government’s environmental policies, it is urgent to develop technologies to recycle these used composite panels into valuable raw materials for manufacturing […]

This project evaluates the impact of customer service on customer retention and churn. In the first phase, we build a statistical model to examine drivers of customer loyalty. In the second phase, we work with customer service to evaluate the effectiveness of new customer service strategies. This project will enable the company to better predict […]

The project concerns big data analysis and management for food testing industries by using Machine learning technique. Any food product before and during its distribution to the market must go through an extensive safety and quality tests at food testing laboratories. During this process, various microbiology and analytical chemistry tests will be performed on food […]

As for any industry, the companies are constantly trying to improve their products. This can be done directly on the raw materials or on the production lines. But profitability can also be improved by reducing wastes while increasing production rates. So this project will investigate the processing conditions and adhesion formulations in terms of mechanical, […]

This project will use a low energy particle accelerator to explore methods of improving the number of fusion reactions in specially designed targets. This work will then be used assist in the development of a feasible commercial fusion power plant that is green, uses cheap and abundant fuel, and is reliable.