In order to assist the successful implementation of the Alberta Climate Leadership Plan (ACLP), a study aimed at the viability of energy storage technology will be conducted. The ACLP has set forth plans to completely phase out coal power generation, and achieve 30 percent renewable power by 2030. This new, made in Alberta, energy plan […]

Title of the Project: Smart Oceans:Instrumented, Interconnected, Intelligent Systems for Efficient Data Analysis and Querying This project proposes three main objectves. The first two objectives serve to provide a deeper investigation of the problem space while the third objective will build on this investigation by exploring the application of new technologies to this problem domain. […]

A micro-algae bioreactor or photobioreactor can be used for cultivating micro-algae for the purpose to fix C02 or produce useable and commercial by-products. Specifically, micro-algae bioreactors can be used to produce fuels such as biodiesel and bioethanol, as a replacement to conventional fuel sources. The production of these biofuels also reduces greenhouse gasses as part […]

This project aims to determine prevalence rates of Echinococcus species tapeworms in domestic dogs and to compare these rates to those obtained from wild canids including wolves, coyotes, and foxes. This will shed light on infection rates and risk factors for both the human population and their pet dogs. This research will benefit Bayer as […]

Major depressive disorder (MDD) is a serious mental condition that often completely debilitates a client. MDD is typically treated with one of several currently available antidepressant medications. However, the response rate to any of these medications is only about 30%. Unfortunately, there are currently no means for a priori assessment of whether a specific person […]

In this proposed project, a collaboration between Tel-Array Diagnostics and the UBC research team will result in the development of a fully automated and portable point-of-care test for breast cancer proteins from a single drop of blood. In order to achieve this ambitious goal, we will develop, optimize and validate a fully integrated microfluidic sample […]

Dans un but de développement économique et de revitalisation du centre-ville de Sherbrooke vient s’inscrire le projet du quartier de l’entrepreneur : Well inc. Un quartier dédié au développement entrepreneurial à Sherbrooke. Les enjeux principaux sont de fournir à la communauté et aux entrepreneurs des services, des ressources et des outils pour les soutenir dans […]

The purpose of this research project is to forecast the timing and estimate the costs of yellow starthistle (Centaurea solstitialis) invasion into southern British Columbia. Yellow Starthistle is an invasive plant that has caused tens of millions of dollars of damages to agricultural production in the United States as well as millions of dollars of […]

Hybrid vehicles have been in use for well over a decade now and have gained momentum in popularity ever since. When these vehicles reach their end of life, their battery packs often have a considerable amount of residual life. Although their state-of-health may not be suitable for vehicular applications any longer, they can be re-used […]

This series of projects will provide coaches and sport scientists with a greater understanding of the relationship between training and performance. While there are several methods for monitoring how much and how hard athletes train, how these can be best used to predict future performance is still in question. The sports of rowing and middle-distance […]

Fiber lasers have become the fastest-growing laser with a projected worldwide revenue up to $1.41 billion in 2017. In particular, fiber lasers at 1.65 ?m have drawn increasing attention with potential applications in chemical sensing, LIDAR and spectroscopy. All-fiber Raman lasing technology is a promising and efficient technology to achieve high power lasing at 1.65 […]

Representations are fundamental to Artificial Intelligence. Typically, the performance of a learning system depends on its data representation. These data representations are usually hand-engineered based on some prior domain knowledge regarding the task. More recently, the trend is to learn these representations through deep neural networks as these can produce significant performance improvements over hand-engineered […]