Although selenium is an essential element for human and animal health, it has a narrow concentration range before becoming toxic. Industrial practices, such as mining, can result in elevated levels of selenium to be introduced into surface water bodies, hence, treating mine processing water and wastewater is commonly done to reduce the potential for environmental impacts. Bacterially mediated redox processes are currently used in the mining industry to remove selenium from wastewater. The byproduct of this treatment is a solid state residual which contains high concentrations of selenium.

The Embedding Project is a public-benefit research project that relies on strong social science research methods to bring together thoughtful sustainability intrapreneurs from across industries and around the world, and harnesses their collective knowledge to develop rigorous and practical guidance that benefits everyone. This internship will offer an MBA student the opportunity to gain experience in both practice and research, while learning from leaders in the field.

Radon is a cancer-causing radioactive gas produced by the natural decay of uranium in rocks and soils. It is the second-leading cause of lung cancer (after smoking) and the primary cause of lung cancer among non-smokers. 16 per cent of lung cancer deaths in Canada are attributable to radon exposure—approximating 3000 people a year. Radon can become trapped and accumulate in buildings, potentially reaching high levels in indoor air (Khan and Gomes, 2017).

Glass sponges build their skeletons out of silicon dioxide (i.e. glass). While these animals are found all over the world in very deep water, they only exist shallower than 50 m in a few places in the world. In very rare cases, new sponges grow on top of existing, dead sponges and form reefs in a similar manner to coral reefs. As with coral reefs, the structure formed by the reefs is ecologically important because it provides complex habitat and shelter for other animals.

This research is focused on building a web-based system for processing big earth data available in a form of Raw multispectral imagery captured by a UAV or a satellites system. The data gathered will be processed to obtain the end results in a vegetation indices (Vis), or NDVI form, which could be used for crop monitoring. The efforts are required in developing a web server, which will allow inexperienced users to classify raster imagery without any supervision.

Youths spend over $141 billion annually. Yet, these same youth often demonstrate extremely poor understanding of healthy financial habits such as emergency funds and budgeting. The proposed project seeks to tackle two main questions through the Dojo financial literacy learning application. First, what principles/techniques have been shown to positively impact financial literacy (e.g., interactive games, infographics, etc)? Second, is the Dojo platform an effective tool for teaching children about financial literacy?

Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the speed of polynomial factorization so that larger polynomials can be factored and factored quickly, for example, in minutes instead of
days.

Head Injury Prevention (HIP) Lab at Simon Fraser University in collaboration with Shield-X Technology Inc. had previously developed an impact diverting mechanism in the form of a thin multi-layered-membrane. The technology has been successfully integrated onto the exterior of a football helmet (external version) to reduce linear and rotational acceleration experienced during impact to the head. The research will focus mainly on how to adopt the technology by adding it into the interior of a single-impact helmet such as bicycle helmet without changing the exterior appearance of the helmet. A

Control is a leader in mobile payment analytics and alerts for SaaS, subscription, and eCommerce businesses, enabling instant intelligence anywhere via its Android, iOS, and web-based products. We collect our customers’ payment data and provide them with their key business metrics that helps them monitor their performance.

Deep Learning is the new, and fast growing bread of systems based on artificial neural networks. These are phenomenal at learning patterns and generating new pattern that have the characteristics of the data the system was trained on. One of the main artistic and creative use of Deep Learning is to process images, pictures video. One typical task is that of style transfer by which the style of one image is used to shape the rendering of the one provided by the user.