Modulation of human induced pluripotent stem cell-derived cardiomyocyte (hiPSC-CM) ion channels and transporter activity, measured by atomic absorption spectroscopy (AAS)

During human clinical trials, a large percentage of candidate drugs fail because they are unsafe or ineffective. Even when preclinical cell and animal studies seem positive, problems occur because drugs tested with these models are often not predictive of what happens in humans. Many drugs, including non-cardiovascular drugs, target ion channels of the heart (membrane […]

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Wide Area Measurement Based Robust Damping Controllers for Power Systems with Embedded Power Electronic Devices – Year two

This research will investigate Wide Area Measurement based controllers for improving stability in systems with HVDC and FACTS devices embedded in AC networks. The approach will extend the candidate’s Ph.D. research which introduced a new method that is always able to guarantee improved damping of all modes in the face wide changes in the network. […]

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Impacts of tidal turbines on marine mammals – Year two

Canada’s coastal regions are an excellent source of marine renewable energy. These regions are also popular with marine mammals, providing good feeding opportunities. However little is known about how marine mammals will be affected by tidal energy developments. Concerns include the impacts of sound on animals’ ability to find food and navigate, the indirect effects […]

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Design, optimization and testing of baffle-type parallel-channel flow field plates within a 200-cm2 fuel cell short stack with a highly-active catalyst – Year two

Enhancing the current and power density in polymer electrolyte membrane fuel cells (PEMFCs) is one of the main challenges to their large-scale commercialization and hence in tune with the pending needs of the PEMFC industry. The volumetric power density in PEMFC stacks is strongly affected by the flow field plates due to their critical impact […]

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Development of a hybrid seismic data inversion method for determining well-drilling location at complex geophysical area – Year two

Due to the current economic downturn, especially the lower crude oil price, the drilling success rate become the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Deep Treasure Corp wishes that through the combination of mature hydrocarbon prediction techniques and […]

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Development and application of molecular tools to assess the acute and chronic impacts of petroleum hydrocarbons on birds – Year 2

The Northern Gateway Pipeline and similar projects propose to transport oil from Alberta to tidewater terminals in British Columbia and eastern Canada. Accidental release of petroleum distillates and related by-products would have consequences on the marine ecosystem. To evaluate spill implications for seabirds, we propose to develop and apply molecular tools to assess toxicological and […]

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Applied Mineralogy for Enhanced Processing of Gold Ore from Artisanal Mining in the Arequipa Region, Peru – Year Two

The proposed research has the objective of applying detailed mineralogical research to aid the multidisciplinary development of high speed sensors for real-time ore sorting applications. MineSense Technologies Ltd. is a mining technology company that develops such sensors and while they have successfully demonstrated the application of its core technologies to distinguish ore from waste material, […]

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Turning off the “switch”: Preserving the analgesic actions of the endogenous opioid pathway in IBD

Abdominal pain is a debilitating symptom for many patients with inflammatory bowel disease (IBD). An endogenous opioid system emerges in the intestinal tissues during chronic inflammation that acts to dampen such pain and could prevent the need for strong opiate drugs like morphine that can cause serious side effects. However, we have discovered that psychological […]

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An Integrated Lead Conversion Model for Inside Sales

Although inside sales is the fastest growing title in the sales industry with companies hiring inside salespeople at a much higher rate than outside salespeople, little is known about the types of activities that drive their success, particularly the conversion of leads to customers (i.e., customer acquisition). Accordingly, the current project aims to develop a […]

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Data Analytics for Social Network Marketing

Influencer marketing is a new and innovative way for brands to target their customers on social media in a highly accurate and trusted way. Brand partners work with hundreds of influencers over a period of time, which is called a campaign, to create marketing material. This marketing material is shared by both the brand and […]

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Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

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