Slave labour continues to be used in business settings around the world and is often linked to society through the supply chains for consumer goods. Yet, the issue of slavery in modern society (“modern slavery”), despite its ties to business settings, has received very little attention in societies around the around.

With the fast growing information available on the web, students are often greeted with countless learning materials. As such, personalization is an essential strategy for facilitating relevant learning materials to satisfy students’ needs. The scope of this project is to design a recommendation system by using a deep learning process for personalized learning based on a quiz module. At the end of the project, we would be able to determine how students like to learn and to evolve the learning path based on strengths to enhance the learning experiences.

Many new pharmaceuticals are based on large biomolecules like proteins. Even small differences in the protein structure can cause significant changes in the efficacy and safety of these drugs. Furthermore, these large molecules are difficult to characterize without advanced instrumentation and methods. Current technologies still struggle with robustness and reproducibility. This study aims to introduce new technology to improve the reliability of protein pharmaceutical characterization.

Memory impairment is the most common complaint associated with aging. Promising interventions based on research are generally reserved for clinical settings. Technological advancement has now made it possible to administer neurofeedback, an established technique for self-regulating brain waves, using portable technology. xSensa Labs, the partner organization, has developed a digital solution that translates research protocols for neurofeedback into portable technology for improving cognition.

Image denoising is a fundamental process in most of computer vision systems, imaging systems, and photography productions. Recently, with the power of deep neural networks, image denoising has been pushed towards new boundaries. However, neural network image denoisers are constrained by the accuracy of the noise model used to train them. Training on a poor noise model results in poor generalization performance on real-world images.

In 2012, changes to provincial legislation in Ontario provided municipalities with a new market-based tool to improve the energy and water efficiency of the existing building stock; the ‘local improvement charge’ (LIC) mechanism.
The City of Toronto was the first and remains the only Ontario municipality to use LICs to finance residential energy retrofits, starting in 2014 with the Home Energy Loan Program. Many other municipalities are interested.

The two internships proposed in this application are for research and feasibility project coordinators for the North Coast Innovation Lab (NCIL) in Prince Rupert, BC.
In addition to research and feasibility around potential projects that will a) grow the local economy for fish and marine products, and b) enhance coworking and resource sharing, the internships will also explore, at both systems and ground levels, how social innovation strategies of economic development and community building can be applied in the rural, northern and coastal context.
Ultimately, the NCIL hopes to spark a systemi