Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Improving Signal Prediction of a Real-time Radiotherapy Beam Monitor using Artificial Neural Network

The science and technology of Radiotherapy for treating cancerous tumor more accurately and precisely is improving constantly with the availability of cutting-edge imaging systems in Radiation Treatment room, and advancements in computer technologies. However, these improvements are associated with complexities and potential risks. To mitigate the risks, a new class of Quality Assurance (QA) systems are emerging. In this research project, the student will investigate further enhancements in the performance of a recently commercialized QA system (IQM system) by incorporating a Machine Learning method. It is expected that an Improved IQM system can be an enabler for clinical deployment of advanced Radiotherapy techniques, and consequently our industry partner will benefit from the improvements in the customer demands of the IQM system.

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Faculty Supervisor:

Mohammad Islam

Student:

Susanne Tiraei

Partner:

iRT Systems GmbH

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

Program:

Accelerate

Multi-Perspective Text Analysis of Social Knowledge Networks

Knowledge workers (i.e., researchers, business consultants and analysts, research-program managers) produce documents (research publications, analysis reports, opinion pieces, calls-for-proposals, and blog posts) through which they express their knowledge and opinions. They also read and review similar documents, produced by individuals and organizations in their domain of interest and expertise, to keep current with their domain. By analyzing these documents, the information they contain and the sentiment they convey, their cross-references to each other, and the network of co-production and consumption relationships they imply, we can gain deep insights on the continuous information flow through networks of experts as they consume, evaluate, assess, and produce knowledge.

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Faculty Supervisor:

Eleni Stroulia

Student:

Aaron Derakhshan-Houreh

Partner:

Cerebri AI

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Reversing the “brain drain”: Where is Canadian STEM talent going and why?

Human capital migration, or “brain drain” as it is more commonly known, is a long-debated subject in Canadian public policy. This process involves large-scale emigration of talented individuals, educated in one country, but who choose to work in other countries to seek out higher salaries, prestige or greater occupational mobility. While this phenomenon has been long debated and discussed mostly in relation to doctors and other medical professionals – policymakers in Canada are still often left wondering why highly skilled Canadians opt to work abroad. This issue is becoming of increasing importance for Canada’s growing technology and innovation sector as businesses are looking to grow and find talent to support this expansion. Foreign destinations, such as Silicon Valley, are attracting a growing number of Canadian graduates hoping to work at one of the region’s large technology firms, such as Google. What is driving this decision-making?

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Faculty Supervisor:

Nicole Goodman

Student:

Zachary Spicer

Partner:

Delvinia

Discipline:

Political science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Development of a Real Time Bioelectric BOD Sensor for Wastewater Effluent Compliance Monitoring

The necessity of cost-efficient and reliable wastewater treatment processes has increased in order to meet more stringent levels of environmental regulations, increased system reliability requirements and tightening operational budgets. To aid in meeting these operational goals, a strong market for low-cost, high-fidelity sensor technology that can relay real-time information to system operators on all aspects of wastewater treatment system performance has developed. This project looks to advance an existing prototype biosensor to the point of marketable as an end-of-pipe regulatory Biochemical Oxygen Demand monitoring device. The success of this project will produce a technology with the capability of reducing the duration/incidence of environmental contamination events, and future development of the biosensor and platform would allow for improved management of wastewater infrastructure and treatment processes. This sensor technology will well support the aforementioned goals and reduce the impact on ecosystem and human health from incompletely treated wastewater.

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Faculty Supervisor:

Rob Jamieson

Student:

Colin Ragush

Partner:

Island Water Technologies Inc

Discipline:

Engineering - civil

Sector:

Life sciences

University:

Program:

Accelerate

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 influencer to the audience of the influencers, who are followers on social networking platforms such blogs, YouTube, Instagram, and Facebook. A key challenge in influencer marketing is to identify influencers with the greatest social networking reach. This project will develop machine learning and data analytics methods based on natural language processing to automatically and accurately match identify influencers for brands.

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Faculty Supervisor:

Alexander Rutherford

Student:

Milad Toutounchian

Partner:

MuseFind

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Program:

Accelerate

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 data-driven lead conversion model that incorporates key factors of a selling situation. The outcome of this project will help demonstrate the value of data-driven analytics for inside sales by offering practitioners a model that can help optimize lead management practices and ultimately improve company success.

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Faculty Supervisor:

Morad Benyoucef

Student:

Alhassan Abdullahi Ohiomah

Partner:

VanillaSoft

Discipline:

Business

Sector:

Digital media

University:

Program:

Accelerate

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 stress, common in patients with IBD, can block the beneficial analgesic actions of these endogenous opioids and paradoxically can cause them to actually stimulate rather than relieve pain. Similarly, sustained higher dose opioid drugs also block the beneficial actions of the endogenous opioid pathway. Together, these effects on the endogenous opioid system lead to increased pain and if opioid drugs are needed, escalating dosing and potentially serious side effects. 

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Faculty Supervisor:

Stephen Vanner

Student:

Cintya Lopez-Lopez

Partner:

Crohn’s and Colitis Canada

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

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, continuing goals are to increase the number of non-grade parameters that can be detected, and therefore increase the breadth of the application of their technology. To achieve this degree of detection, systematic mineralogical research has to be applied to determine the mineralogical variability of the bulk ore samples, and the best-suited sensors for individual ore classes, which are characterized by a particular mineralogical feature. This information will be integrated into the development of data analysis algorithms that will facilitate processing and interpretation of the sensor signals according to the desired sorting criteria.

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Faculty Supervisor:

Lee Groat

Student:

Thomas Chudy

Partner:

MineSense Technologies

Discipline:

Geography / Geology / Earth science

Sector:

Natural resources

University:

Program:

Elevate

Prioritizing decision-making for agriculture and conservation in North America’s prairies under climate change and land-use change – Year 2

Wetland habitats are critically important to many animal and plant species, and they are in trouble. The North American prairies, for example, comprise some of the most productive wetland habitats in the world, but many areas of the prairies have lost up to 90% of their wetlands and more than 90% of their native grasslands due to farming practices and more recently, climate change. This project will build a decision-support framework to prescribe the conservation actions needed to sustain wetland biodiversity in the face of climate and land-use changes. This framework will be a first of its kind to directly guide decisions by generating solutions to deal with effects of habitat loss, wetland drainage, and climate change on biodiversity and ecosystem services. The end result will be a plan for managers, producers and policy makers to support adaptive farm management and address wetland biodiversity loss in the North American prairies.

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Faculty Supervisor:

Robert Clark

Student:

Chrystal Sharon Mantyka-Pringle

Partner:

Ducks Unlimited Canada

Discipline:

Biology

Sector:

Environmental industry

University:

Program:

Elevate

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 health endpoints in selected seabird monitoring species, using a combination of laboratory and field research. This study will inform regulators about baseline molecular responses in seabirds to current levels of petroleum hydrocarbons in proposed shipping channels and to those anticipated in the unlikelihood of a spill. Results from this study will provide insight into the toxicology of oil in seabirds, will advance our ability to evaluate a change in the health of seabirds due to a spill and will enable our partner organization as they conduct risk assessments for proposed oil transportation.

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Faculty Supervisor:

John Elliott

Student:

Tanya Brown

Partner:

Northern Gateway Pipelines

Discipline:

Biology

Sector:

Oil and gas

University:

Program:

Elevate

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 new research results in seismic inversion, the success rate of hydrocarbon prediction, the theoretical basis for well placement can be provided in Roncott field, which will improve the success rate in drilling. The University of Calgary is one of Canada’s top research institutes, especially in the areas of exploration geophysics, seismic data processing and petroleum engineering. On the other hand, Deep Treasure Corp, with a short operating history, is lack of expertise in . TO BE CONT’D

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Faculty Supervisor:

Wenyuan Liao

Student:

Yaoting Lin

Partner:

Deep Treasure Corp.

Discipline:

Mathematics

Sector:

Oil and gas

University:

Program:

Elevate

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 on the reactants distribution over the electrodes and their bulky size. In the proposed research, baffle-type parallel-channel cathode, anode and cooling flow field plates are designed with a small thickness. The flow distributions over these thin plates are optimized through computational fluid dynamics (CFD) simulations combined with experimental verifications and flow visualization. Since the flow field plates in stacks behave differently than in single cells, both original and optimized plates are tested within a fabricated 200-cm2 short stack. TO BE CONT’D

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Faculty Supervisor:

Xiaotao Bi

Student:

Hamidreza Sadeghifar

Partner:

Vancouver International CleanTech Research Institute

Discipline:

Engineering - chemical / biological

Sector:

Alternative energy

University:

Program:

Elevate

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