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

Development of novel, systematic methods for expanding, screening, and selecting biodiversity in industrial yeast strains

Yeast is arguably the most important industrial microorganism in the world, playing a critical role in the fermentation of food and beverage products, as well as cellular factory for production of biofuels, chemicals, and pharmaceuticals. In order to produce such a range of products efficiently and economically, specialized yeast must be optimized for each task. Current tools for yeast optimization are lacking, especially in the sectors of food, beverage, and feed, where consumers demand non-GMO yeast products. In this proposal, we seek to expand the range of non-GMO yeast strain development tools to facilitate the high-throughput, robust optimization and specialization of yeast. In this way, we expect to be able to develop novel yeast that solve industrial process/product challenges, offer efficiency gains and process optimization opportunities, and/or introduce the potential for novel product flavors, aromas and functions while also meeting end-user demand for non-GMO ingredients.

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Faculty Supervisor:

Corey Nislow

Student:

Samantha Breaux

Partner:

Renaissance BioScience Corporation

Discipline:

Visual arts

Sector:

Life sciences

University:

Program:

Accelerate

End-of-line Testing for Safety and Quality with Machine Learning

Safety-critical systems are pervasive throughout our society with everyday objects such as airplanes, cars, trains, or medical devices. The requested functionality and expectations from these systems are growing rapidly and consequently, they become more complex. The complexity is usually handled by breaking the system into manageable smaller components and parts. Factories then integrate these parts into the final product. However, while some complexity can be managed
by this divide & conquer strategy, the assembly is still a challenging task. End-of-line testing provides the quality assurance to ensure that no defective product leaves the factory.
In this project, the research team and Acerta develop new learning-based algorithms to assist in end-of-line testing to detect defective product before it leaves the factory. A sequence of interns concentrate on developing classification technology, refining prediction mechanisms, and improving the analytics infrastructure.

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Faculty Supervisor:

Mark Crowley

Student:

Shailja Thakur

Partner:

Acerta Analytics Solutions Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

The development of monoclonal antibodies for early diagnosis and therapeutic application in Alzheimer’s disease

Alzheimer’s disease is the most common neurodegenerative disorder. The recent immunotherapy brings the hope of treating AD as suggested by several preclinical studies. This project first aims to develop a humanized monoclonal antibody to target the molecules involved in generating a toxic protein of AD, named amyloid ?, and test the application of this antibody in treating AD model mice. In addition, early diagnosis of AD is of great need to achieve the maximal effectiveness of beneficial treatments. Therefore, this project will also focus on the development of two pairs of rabbit monoclonal antibodies and explore their potential to use as tools for detecting blood-derived biomarks in AD. The partner company, Artron Bioresearch Inc., will share the copyright or patents regarding antibody development. The leading-edge knowledge and related techniques in studying AD from our research team will benefit their research and development for future products in neurodegenerative disorders.

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Faculty Supervisor:

Weihong Song

Student:

Juelu Wang

Partner:

Artron Bioresearch

Discipline:

Psychology

Sector:

Life sciences

University:

Program:

Accelerate

Condition assessment of infrastructure facilities using combined image processing and sensing technologies

As Canada’s infrastructure grow older every year, the inspection and maintenance of these capital intensive assets becomes more challenging. Most deterioration mechanism occur over a long period of time. Certain defects remain unnoticed during regular inspection until it is too late. Unfortunately, delayed diagnosis of defects can significantly increase the annual cost of maintenance.
Inspectors and maintenance managers demand innovative methods that help them identify and quantify deficiencies earlier, and more accurately. This R&D project proposes an innovative condition assessment of infrastructure facilities without direct interaction of labour in a timely and cost-effective manner. A combined approach of sensing technology and image processing is proposed to 3D-map the condition of a structure over time. To do so, highly accurate sensors and transducers are installed along the structural members under inspection to monitor the internal changes. The sensing results are combined with the map of surface changes. TO BE CONT’D

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Faculty Supervisor:

Martin Noel

Student:

Seyedrohollah Ettehadi

Partner:

FPrimeC Solutions Inc

Discipline:

Engineering - civil

Sector:

Information and communications technologies

University:

Program:

Elevate

Quantifying Impact of Transportation Electrification on Electrical Power Grid and CO2 Emissions through Big Data Analysis of Vehicle Driving and Charging Profiles

In this project, charging and driving data of 1000 electric vehicles (EVs) across Canada will be monitored and analyzed to figure out the impact of EVs on the electrical power grid, and their potential capability to reduce CO2 emissions. For this purpose, the degree to which a particular electricity grid profile, the vehicle type and driving style, and charging patterns impact CO2 emissions will be studied. This project will also try to improve the understanding of required charging infrastructure for EVs to address customers’ range anxiety, and help infrastructure providers with decision making. Outcomes of this research will enable FleetCarma to further communicate with local distribution companies (LDCs) in Canada to manage their supply and demand profiles. TO BE CONT’D

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Faculty Supervisor:

Michael Fowler

Student:

Ehsan Samadani

Partner:

FleetCarma

Discipline:

Engineering - mechanical

Sector:

Automotive and transportation

University:

Program:

Accelerate

Development of plant-based beverage with high content and quality proteins

Plant-based beverages are inappropriate alternatives to bovine milk, due to lower protein content and not sufficient amount of essential amino acids. To produce nutritionally complete plant-based beverage with high overall acceptability, the technological interventions and fortification techniques need to be developed. Oat is one of the promising raw material for preparation of functional plant-based milk due to the presence of dietary fibres and good nutritional quality of oat proteins. Appropriate complementation of oat proteins with other high nutritious plant protein isolate will enable to produce plant-based beverage with all essential amino acids required for a complete source of protein in a single serving. The applied interventions may lead to process improvements for better quality and performance of plant based beverages and further growth and global competitiveness of Canadian products in a global market.

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Faculty Supervisor:

Student:

Partner:

Earth's Own Food Group

Discipline:

Food science

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

National Smart Vehicle Demonstration and Integration Project

In a context of global warming, it is essential to find green alternatives to public transportation. The National Smart Vehicle Demonstration Project aims to improve mobility options for Canadians by advancing the implementation of low-speed electrified autonomous shuttles (LSAs). This project aims to support job growth in the design of technologically advanced electrification, sensing, communication and cybersecurity tools that support LSAs. This research will highlight the added value of owning and operating LSAs, which rely on pricing systems and rely on different usage and maintenance costs for municipalities.The intern works will be useful to the CUTRIC and The National Smart Vehicle Demonstration Project to use localized modeling outputs and to generate empirical evidence to support the allocation of future municipal funding to transit-oriented LSAs initiatives.

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Faculty Supervisor:

Richard Chahine

Student:

Catherine Gosselin

Partner:

Canadian Urban Transit Research and Innovation Consortium

Discipline:

Biochemistry / Molecular biology

Sector:

Automotive and transportation

University:

Program:

Accelerate

Effects of exotic invasion and terrestrial DOC on aquatic food web quality, and the body condition and Hg bioaccumulation of sportfish

The project will quantify spatial variation in food web quality associated with round goby / dreissenid mussel invasion and terrestrial dissolved organic carbon to understand how it may mediate the nutritional state (fatty acid content), body size, and Hg contaminant load of sportfish. We will work across existing spatial aquatic gradients in historical inorganic Hg sediment contamination, abundance of exotic round gobies and dreissenid mussels, and terrestrial DOC in the Upper St. Lawrence River. The Upper St. Lawrence River system has an economically-important sportfish industry, and we will provide insight into how the interplay of multiple stressors in this anthropogenically-impacted ecosystem plays out for contaminant loads and fitness of sportfish. TO BE CONT’D

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Faculty Supervisor:

Alison Derry

Student:

Cristina Charette

Partner:

St. Lawrence River Institute of Environmental Sciences

Discipline:

Biology

Sector:

Fisheries and wildlife

University:

Program:

Accelerate

Investigating vestibular changes in patients with post-concussion syndrome (PCS) in relation to the comorbid depression

This proposal presents two parallel research projects to develop pattern recognition algorithms using a relatively new technology, Electrovestibulography (EVestGTM)1 for objectively and accurately effect of confounding depression on concussion both when used as a diagnostic tool and also as a treatment recovery tool. EVestG signals are recorded painlessly and non-invasively from the external ear in response to a vestibular stimulus; they are the brain signals modulated by the vestibular response. When concussed, people commonly experience balance (vestibular) problems and dizziness, as well as confused thinking. In our previously funded MITACS projects2 we have shown that EVestG has potentials to be a reliable diagnostic tool for post-concussion syndrome (PCS) and also monitoring its recovery. TO BE CONT’D

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Faculty Supervisor:

Zahra Moussavi

Student:

Abdelbaset Suleiman

Partner:

Riverview Health Centre Foundation

Discipline:

Engineering

Sector:

Life sciences

University:

Program:

Accelerate

Clay Binding of Gravel Roads

Throughout much of northern and rural Canada roads are constructed of unpaved gravel aggregate. They are expensive to maintain, environmentally problematic and degrade quickly. We are developing a solution to this problem by using locally derived materials rich in reactive clays. With the addition of catalysts and polymeric agents, we cause the fine clay materials to bind the aggregate strongly. Simply put, we are taking advantage of and manipulating the natural properties of clays, and causing them to act like a cementing agent. This produces a durable, long-lasting, low-cost road that requires minimal maintenance, and eliminates the noxious and detrimental consequences that result from current construction practice.

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Faculty Supervisor:

Hamid Mumin

Student:

Riley Cram

Partner:

Cypher Environmental Ltd

Discipline:

Geography / Geology / Earth science

Sector:

Environmental industry

University:

Program:

Accelerate

Can retaining wetlands in agro-ecosystems mitigate the effects of agricultural intensification on biodiversity?

Agricultural practises in the North American prairies have intensified in the last several decades to increase food production, resulting in the drainage of up to 70% of prairie wetlands in some areas. Not surprisingly agricultural intensification is associated with the loss of biodiversity. Our research aims to assess whether retaining wetlands in agro-ecosystems can mitigate the effects of agricultural intensification on biodiversity, by monitoring wetland-derived insects and the breeding success of birds that depend on wetland-derived insects as prey. Since wetlands in the prairies continue to be lost, research focusing on how wetland retention influences biodiversity in agro-ecosystems is essential for management strategies aimed at conserving biodiversity, while also maintaining agricultural productivity. Research identifying possible co-benefits to agricultural producers and conservation agencies of retaining wetlands could sustain profitability for producers through economic incentives and “green” marketing opportunities, and the provisioning of ecosystem services by wetlands to society.

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Faculty Supervisor:

Robert Clark

Student:

Lisha Berzins

Partner:

Ducks Unlimited Canada

Discipline:

Biology

Sector:

Environmental industry

University:

Program:

Accelerate

An Optimized Tele-Rheumatology Platform for Clinical Settings

Current rheumatology wait-times have been noted as reaching as high as two years for an initial assessment in the province of Newfoundland and Labrador (NL) [1]. Significant wait-times can delay diagnosis and treatment for a variety of rheumatologic conditions and highlights some of the challenges associated with a publicly funded healthcare system. Furthermore, the higher prevalence of arthritis/rheumatism in rural areas frequently necessitates patients to travel significant distances at great personal and system expense [1]. An asynchronous telemedicine platform custom-designed to enhance the rheumatologic examination has the potential to enable rural family doctors to better capture features of the clinical examination and convey this information to the treating rheumatologist. Research efforts will focus on implementation of an intuitive remote data collection technology designed to minimize healthcare resources during data capture.

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Faculty Supervisor:

Stephen Czarnuch

Student:

Zizui Chen

Partner:

77711 Newfoundland and Labrador Corp

Discipline:

Computer science

Sector:

Medical devices

University:

Program:

Accelerate

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