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 an efficient process to produce influenza virus-like particles in insect cell culture platform

Vaccination is the most effective way to prevent influenza infections. However, the current production of influenza vaccines in embryonated chicken eggs has limited capacity during pandemics or high demand seasons, and is both labor-intensive and time-consuming. Consequently, there is a need to develop a robust production platform that can efficiently accelerate the production process and ultimately replace the egg production system. The aim of this research project is to use insect cell culture-based technology to rapidly produce virus-like particles (VLPs) as influenza vaccine candidates. VLPs are non-infectious particles that mimic the native structure of the virus eliciting a strong immune response in a safer manner. In our project, the production of VLPs will occur after introducing the variable dominant surface antigens in an insect cell line stably expressing the VLPs core protein. The project will deliver novel knowledge on the cell line development and inducible system in insect cells platform as well as novel bioprocessing technologies.

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Faculty Supervisor:

Amine Kamen

Student:

Adeline Poulain

Partner:

Sanofi Pasteur

Discipline:

Engineering

Sector:

Medical devices

University:

Program:

Accelerate

Strategic BC Salmon Health Initiative: effects of pathogens on the health and conservation of BC’s Pacific Salmon

B.C.’s Pacific salmon are in decline yet the causes are not clear. The role of disease in declining productivity is poorly understood but is potentially an important factor especially given recent controversies involving salmon farms and disease transmission to wild salmon. We have recently collected quantitative data on 47+ viral, bacterial, fungal, and protozoan pathogens in >16,000 out-migrating juvenile sockeye, Chinook and coho salmon and 4,500 salmon from farms culturing Atlantic and Chinook salmon. These large and complex datasets now require sophisticated analyses and results summarized for scientific papers, and to inform salmon management. Three postdoctoral fellows will lead the analyses, write-up and extension of the results. They will work in association with the Pacific Salmon Foundation, our partner, to conduct the analyses and help our partner better inform salmon management and develop conservation policies for the species that the Pacific Salmon Foundation helps to protect and conserve.

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Faculty Supervisor:

Scott Hinch

Student:

Amy Teffer

Partner:

Pacific Salmon Foundation

Discipline:

Forestry

Sector:

Medical devices

University:

Program:

Accelerate

LED Radiation Pattern Modelling

Display technology is ever improving; a current display technology being researched and created includes the use of LED arrays. One array could be used to produce a low quality image with minimal energy, while another more energy intensive array would be used for the sharper aspects of the image. Knowing exactly how these LED’s behave and their output on a screen would be most beneficial in furthering this type of display.

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Faculty Supervisor:

Adrian Kitai

Student:

Andrea Beauchamp

Partner:

Superposition

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Program:

Accelerate

The effect of a topical analgesic on neuromuscular endurance and pain

It has been shown that topically applied gels, which contain menthol, result in a cooling sensation and reduce the sensation of pain. Because neuromuscular endurance activity leads to sweating and muscle pain we seek to discover the effect of BioFreeze on various forms of neuromuscular endurance activity and muscle soreness. This discovery will require 3 main research objectives, all of which will be conducted as research studies with the goal to be published in peer-reviewed journals. Performance Health will get the benefit of understating potential application of BioFreeze and potentially how to further market their product.

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Faculty Supervisor:

David Behm

Student:

Shahab Alizadeh

Partner:

ProActive Physiotherapy

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program:

Accelerate

Development of a calibration method for Mecademic’s Meca500 robot arm

Mecademic manufactures the smallest and most precise six-axis robot arm. The repeatability of this robot is better than 0.005 mm, but like any industrial robot, the robot’s accuracy is far worse. Although all robot parts are machined and assembled precisely, the only practical way of improving the robot’s accuracy is to calibrate each individual robot. While various methods for the calibration of six-axis robot arms have already been developed in the past, the proposed research project differs in several aspects. First, the applicant will use a CMM to measure the position and orientation of the robot’s end-effector. One novelty of the project will be the possible use of a datum cube as an artifact to be attached to the end-effector and probed with the CMM. This will significantly reduce the time needed for calibrating a robot. Finally, since the applicant will have full access to all physical characteristics of the robot, an attempt will be made to develop a simpler mathematical model, so that the model can be used in real time.

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Faculty Supervisor:

Souheil-Antoine Tahan

Student:

Oleksandr Stepanenko

Partner:

Mecademic

Discipline:

Engineering - mechanical

Sector:

Advanced manufacturing

University:

Program:

Accelerate

Health Information Interoperability with Bidirectional Transformation and Assurance (HealthBX)

The objective of the HealthBX project is to research and develop advanced software engineering methods for the purpose of increasing the interoperability of different clinical health information systems used in the province of British Columbia (BC). BC clinics use a variety of different health information systems to maintain electronic patient data. However, the abilities for these systems to exchange health data electronically is severely limited. The software that governs electronic health data exchange must be engineered to comply to important quality requirements, such as safety, correctness and reliability. The HealthBX project will use new engineering methods (assured, bidirectional transformations) to achieve these objectives. Our project partners will benefit from exposure to these new methods and the Canadian public will benefit from increased, reliable health record exchange capabilities.

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Faculty Supervisor:

Jens Weber

Student:

Adeshina Alani

Partner:

OSCARprn

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Occupancy and fine-scale habitat use of five meso-carnivore prey species in the sub-boreal forests of Central British Columbia

Many forest carnivores in British Columbia (BC) meet their nutritional requirements by preying on squirrels, hares and grouse. Although considerable effort has gone into studying the predator species, there is a substantial information gap on the habitat needs of their prey items. Knowledge of prey species habitat requirements provides another important dimension to our ability to manage for both them and their predators. Staff at the John Prince Research Forest near Fort St. James, BC have operated a network of wildlife cameras in different forest types for two winters and one spring/summer season. I will use the data from these cameras and habitat data to understand the habitat associations of red squirrels, Northern flying squirrels, snowshoe hares, ruffed grouse and spruce grouse, all important prey species. Once these relationships are known, I will generate maps of the landscape that predict where these species are most likely to be detected.

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Faculty Supervisor:

Karl Larsen

Student:

Joseph Chisholm

Partner:

John Prince Research Forest

Discipline:

Resources and environmental management

Sector:

Natural resources

University:

Program:

Evaluating the Risk of Climate Change and Hydraulic Processes to Linear Infrastructure

Networks of linear Infrastructure, such as our roads and pipelines, allow us to move people, natural resources, and manufactured goods. Common practice has been to utilise historic climatic data to establish deterministic design guidelines for water course crossings. With climate change uncertainly, asset managers are in a position where they are questioning the guidelines and their current infrastructure robustness. This project proposes to produce an integrated approach that provides the framework, analytical methods, and supporting science for assessing linear infrastructure robustness in the face of climate change uncertainty This approach will provide equity to communities through design criteria that integrate environmental, social and economic values directly linked to geomorphic process. From this project, SNC Lavalin will gain additional modelling tools and an improved understanding of geomorphological processes to provide the stakeholders of linear infrastructure construction and rehabilitation projects with more information while making risk analysis decisions.

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Faculty Supervisor:

Bruce MacVicar

Student:

Andrew Clow

Partner:

SNC-Lavalin Group Inc

Discipline:

Engineering - civil

Sector:

Natural resources

University:

Program:

Accelerate

Injection molding with laser-micromachined molds to fabricate biomimetic flow enhancing polymer parts

With this collaborative project we plan to proof that non-stick, self-emptying containers can be produced through molding the polymer with a laser-micromachined steel mold. Imparting a Nature-inspired functional microstructure through laser-machining onto metals is a well understood method developed in Prof. Kietzig’s lab. By using a laser-structured metal mold to form plastics, we will imprint the inverse pattern onto polymer surfaces through an industrial scale injection molding process. We will optimize pattern dimension, laser machining process parameters and injection molding process parameters to ensure the desired transfer of the hierarchical pattern. Further we will carry out advanced wetting studies to assess the functionality of the resulting polymer surfaces.

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Faculty Supervisor:

Anne-Marie Kietzig

Student:

Yassin Etienne Vancolen

Partner:

IPL

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

Program:

Predicting In-patient Discharges to Identify Bed Availability for Housekeeping During Emergency Department Surge Using Machine Learning Algorithms

Prolonged patient waiting times for an inpatient bed in the Emergency Department (ED) is considered a global crisis and most cited reason for the ED crowding. Inability to move admitted patients from the ED to an inpatient bed due to capacity shortage and inefficiencies in patient-flow affects patient care and patient experiences. Housekeeping is crucial in patient-flow from ED to inpatient bed. When a patient leaves a bed (for example, discharge), housekeeping staff must clean and sanitize the bed. Knowing when the beds will be available during ED surge can facilitate the process of bed cleaning and hopefully reduce ED wait times. This research aims to apply machine learning algorithms to predict inpatient discharges during ED surge to identify the number of beds available in next four hours. This will enable housekeeping staff to plan ahead and reduce ED wait times.

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Faculty Supervisor:

Michael Carter

Student:

Tahera Yesmin

Partner:

Sodexo Canada

Discipline:

Engineering - mechanical

Sector:

Medical devices

University:

Program:

Accelerate

Development of a commercial protocol to differentiate human pluripotent stem cells into skeletal muscle progenitor cells (hPSC-SMPCs) with transplantation potential

Recent scientific breakthroughs have led to the development of methods to differentiate human PSCs (hPSCs) into skeletal muscle cells. This has allowed, for the first time, the development of cellular models to study muscle diseases such as Duchenne Muscular Dystrophy and the possibility to utilize these cells for cell therapy applications. However, the reliability, efficiency and prober characterization of cells produced from these differentiation protocols remains a roadblock for their routine utilization by the research community. In this proposal we aim to develop a commercial kit to differentiate hPSCs into skeletal muscle progenitor cells (hPSC-SMPCs) with reproducibility between cell lines with various genetic backgrounds. We anticipate that such a kit will enable researchers to overcome previous roadblocks and facilitate the robust and consistent generation of large numbers of skeletal muscle cells. This new tool will allow researchers to study human skeletal muscle development, model muscle diseases, screen cells for drug discover and investigate the regenerative potential of hPSC-SMPCs in preclinical cell therapy applications.

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Faculty Supervisor:

Fabio Rossi

Student:

Nasim Kajabadi

Partner:

StemCell Technologies

Discipline:

Medicine

Sector:

Life sciences

University:

Program:

Accelerate

A weighted graph approach to IP geolocation

When you load a page on the internet, or watch a video, or send an email, packets of information travel along a path from your computer to the destination. Where does this path go? If both you and your destination are located in the same country, does the path respect international boundaries? We propose a method for answering these questions that builds upon previous techniques. Our partner organization, CloudPBX Inc, develops and operates network infrastructure for telephonic communications. They are interested in offering their customers the assurance that their calls are not unintentionally crossing international borders.

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Faculty Supervisor:

Matthew DeVos

Student:

Stefan Hannie

Partner:

CloudPBX Inc

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Program:

Accelerate

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