Big Data Analysis and Management for Food Testing Industries Using Machine learning Technique

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.

Development and optimization of a new roll-to-roll atmospheric pressure plasma reactor: deposition of functional nanocomposite coatings on Polymer and Paper Rolls

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.

Next-generation antibody drug for immuno-oncology treatment: anti-TIM3 antibody development

Unprecedented advances have been made in the treatment of cancer through the use of antibody against immune checkpoints, priming immune system instead of targeting cancer, with approval of several antibodies for multiple cancer types. However, so far we are merely seeing the tip of the iceberg because responses to this form of therapy are not universal. Next-generation antibody drug is needed. TIM-3 negatively regulates immune system and is one of the next generation targets. We have generated 13 clones of TIM-3 antibodies, potentially can be anti-tumor drug.

PET/MRI Imaging Development for Pre-clinical Neuroimaging Applications

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.

Intelligence from Telemetry applied to Wildfire management and other applications.

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.

Recycling of Urea-Formaldehyde Resin-Bonded Particleboard and MDF

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.

Assessing the Impact of Customer Service Strategies on Loyalty

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 customer retention and churn by using appropriate metrics. In addition, the company can understand the impact of alternative customer service strategies on customer loyalty and can choose the most effective one for implementation.

Breaking the Barriers to Socially Conscious Business in Edmonton

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.

One Child at a Time One Family at a Time

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.

Discovery of Novel E3 Ligands for PROTAC Development

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.