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 products to make sure about the safety and quality of the food products before offering them in the market.

Wood and wood-related substances have been among the most important materials in human history. Today, various forms of wood are being used in numerous industries, and therefore a significant market exists for improved and functionalized wood-based products. In this context, we’re proposing an atmospheric-pressure plasma-based approach to treatment of wood-based surfaces using a roll-to-roll cold plasma reactor.

The field of nuclear medicine relies on positron emission tomography (PET) and single photon emission computed tomography (SPECT) scanners to visualize molecular processes in normal and disease states in the living human.

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 partner: Tanka is advancing integrated analytics, bridging research in these fields to ingest maximally relevant data to produce valuable information for a variety of applications.

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 composites again.
This research will focus on the development of recycling solutions for waste Urea-formaldehyde (UF) resin-bonded particleboard and MDF.

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.

Early-years educational programing is linked with greater educational, career and life outcomes. The One Child at a Time One Family at a Time program seeks to assist families in overcoming barriers and giving all children equal access to early-years learning. The home visiting program connects children and their families with individualised support and guidance tailored to a families unique needs and home situation and relevant to their culture and background.

Protein degradation induced by PROTACs (PROteolysis TArgeting Chimeras) constitutes a novel modality of drug discovery, with advantages over the traditional approach. This approach is still at infancy and there is a lot to learn in this field. The trainees will work under academic supervisors at University of Toronto, who are experts in chemical tool development in collaboration with Structural Genomics Consortium (SGC), Toronto to expand the number of chemical tools and technologies, which will enhance the scope and understanding of PROTAC drug development.