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

Evaluation of New Technology in TechnipFMC’s Operations

TechnipFMC is a global leader in subsea, onshore, offshore, and surface technologies. They use innovative technologies to help their clients develop their oil and gas resources. The purpose of this project is to research and evaluate two new technologies to determine the best fit for deploying the technology in TechnipFMC’s operational environment.

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Faculty Supervisor:

Blair Bridger

Student:

Rafael Fernandez

Partner:

TechnipFMC

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

Program:

Accelerate

Training accounting and auditing professionals in blockchain technology

Blockchain is an emerging technology with potential to create new foundations for our economic and social systems, and it is therefore critical for professional services such as accounting and auditing to broadly understand how it works and what it can do. However, like many new technologies, blockchain is difficult to initially comprehend, and is hampered by negative rhetoric and connotations. To address this, this project aims to demystify blockchain for professionals by reducing the technology to its core principles, understand how these impact accounting and auditing processes and the profession more broadly. It will then build on these insights to design training materials and tools that convey blockchain in plain language to build a foundational understanding amongst accountants and auditors, and empower them and their organizations to enable and benefit from the emergence of blockchain-based applications.

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Faculty Supervisor:

Harish Krishnan;Marc-David Seidel;Christopher Rowell

Student:

Varshitha Narahari

Partner:

Discipline:

Business

Sector:

University:

Program:

Accelerate

Searching for Tasks: A Study on Online Searchability for Situated Action

The project is the start of a bigger vision to help improve ‘Employability in an ever-changing, global and digital economy.’ The Partner organization and SFU Communications lab has a larger vision for where we may take this innovation initiative over the long-term, however initial pursuits will start out to develop a better understanding through an applied research project to explore ‘just-in-time learning practices impacting employability’. The insights from this will start informing relevant modern-day learning frameworks, content types and channel delivery solutions that may be most valuable in securing employability in a fast-changing world. The insights from this project can also be applied backwards to inform teaching practices and frameworks at colleges and universities/ secondary institutions to become more agile / ‘just-in-time’ as well. TO BE CONT’D

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Faculty Supervisor:

Frederik Lesage

Student:

Nicole Stewart

Partner:

Discipline:

Journalism / Media studies and communication

Sector:

Education

University:

Program:

Accelerate

Mass Timber Floor Vibration Design Guide and Validation

Mass timber floors are increasingly becoming an attractive option for floor system when compared to concrete or steel floors. This is particularly significant for multi-story buildings, where floor framing represents a large amount of the buildings cost and material use. Currently, these flooring systems are largely made out of concrete or steel, so there is significant room for the use of mass timber to grow. However, unlike steel or concrete, mass timber floors are often susceptible to serviceability issues such as detection or vibration. In particular, vibration of mass timber flooring is a problem that often will limit how long floors can span. This problem is made worse by a knowledge gap in the industry; currently there is little information that designers can use to efficiently design mass timber floor systems. TO BE CONT’D

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Faculty Supervisor:

Carlos Molina Hutt

Student:

Christian Slotboom

Partner:

Aspect Structural Engineers

Discipline:

Engineering - civil

Sector:

University:

Program:

Accelerate

Molecular-Based Analytics for Prediction and Optimization of Performance

Recent advancements in the study of large biological datasets coupled with powerful machine learning tools and new analytical technologies have opened up the ability to predict risks to health and possibly intervene before disease has manifested. Molecular You has developed a web based interface that integrates all these technologies into easy to understand visual health report for consumers. However, many consumers do not need to worry about health risks, as they are relatively healthy and do not have any health risks identified by our platform. Rather they are more interested in how to optimize their health, through improving their athletic performance through boost in fitness capacity and decrease in fatigue and recovery times. This study will develop a tool and web-based interface specific to lifestyle changes applied to improving and optimizing athletic performance. TO BE CONT’D

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Faculty Supervisor:

Brian Fisher;Crystal Karakochuk;Robert Boushel

Student:

Kelsey Cochrane;Zohreh Dehghani Champiri

Partner:

Molecular You Corporation

Discipline:

Food science

Sector:

Health care and social assistance

University:

Program:

Accelerate

Investigation of the role of CDK10 in pancreatic cancer growth and metastasis

This collaboration between the Tai Lab at BC Cancer Agency and the biotechnology company STEMCELL will validate a 3D culturing system that supports the growth of normal and malignant pancreatic stem cells. Specifically, we hope to optimize the culturing condition for the growth media to ensure efficient and reproducible outcomes for pancreatic stem cells growing in a 3D system. Various media formulations will be tested to establish a cell culturing system and protocol for the pancreatic tissue. The development of the culture system will enable further analysis of pancreatic cancer stem cells including the role of CDK10 in regulating pancreatic cancer growth and metastasis.

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Faculty Supervisor:

Isabella Tai

Student:

George Chang

Partner:

Discipline:

Medicine

Sector:

Health care and social assistance

University:

Program:

Accelerate

Modeling and optimisation of woven composite hydraulic tubes, to reduce in-service defects and failures—Phase II

Niedner Inc is a Quebec-based industrial partner, specializing in manufacturing of fire hoses and water tubing systems, which are vastly used e.g. in forestry fire, the environmental management of contaminated site remediation and water main rehabilitation applications. Their state of the art facility consists of in excess of 70,000 square feet and is exclusively devoted to the research, development and manufacturing of rigid and lay flat liquid distribution hoses, destined for both Canadian and export production. Currently, Neidner is developing a strong supply chain to manufacture the next generation of ‘woven composite’ tubing systems that can be deployed in any terrain, and used in a range of extreme operating conditions. However, potential in-situ failure modes of such composite systems, such as snaking and fibre-bunching, can led to costly service deficiencies and hamper the tasks of workers on-site. TO BE CONT’D

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Faculty Supervisor:

Abbas Milani

Student:

Tina Olfatbakhsh;Reza Sourki

Partner:

Niedner Inc

Discipline:

Engineering - other

Sector:

University:

Program:

Accelerate

Revegetation of disturbed areas in Northern Manitoba

Revegetation of northern Manitoba ecosystems, disturbed by hydroelectric development, is critical to meet the ecological and cultural needs of the First Nation communities located in these areas. To establish a viable self-sustaining ecosystem, it is important to understand the challenges associated with reclamation in these disturbed areas. The main goal of our proposed research is to develop revegetation strategies using native plant species (selected in consultation with the indigenous communities) and addition of organic matter/ fertilizer following soil decompaction. Plant growth will be monitored over two growing seasons to evaluate the success of the reclamation strategies. These results should allow us to improve the success of reclamation and develop guidelines for other sites currently under development in northern Manitoba. TO BE CONT’D

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Faculty Supervisor:

Sylvie Renault;John Markham

Student:

Tess McDonald

Partner:

Manitoba Hydro

Discipline:

Biology

Sector:

University:

Program:

Accelerate

The ‘classical’ charango: applied cross-genre integrations in European Art Music

The charango is a small guitar like instrument iconic to Andean music of South America. Like many other instruments the charango has travelled to other cultural environments. However, even in these circumstances the charango has for the most part not become a significant presence in other musics. In this practice-based research project, I will introduce the charango into an international European art music context to examine the process of genre-crossing in the creation new musical spaces. How can the charango integrate its folkloric ‘voice’ and tradition into the language of classical (European art) music in modern times? What is the effect on musicians and audiences? What bridges can be created in the performance of a ‘classical’ charango and what are their implications in cross-cultural scenarios? In this applied research project, I will bring together previously separated music-worlds and inspire fresh insights into music-making across real and imagined divides.

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Faculty Supervisor:

James Deaville

Student:

Heather Horak

Partner:

Discipline:

Music

Sector:

University:

Program:

Accelerate

Using Machine Learning for audio analysis and synthesize

Voices.com, the largest online marketplace for voice talent, have identified Machine Learning as an enabler for
future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and
automatic classification of sample recordings. The first phase of this research involving NLP is in the process of
being integrated into production. The second phase will be to automatically classify sound samples. This has been
historically difficult resulting in low levels of accuracy, but we will take advantage of new ML techniques, and one
of the worldâs largest databased of tagged audio. This classification will cover areas of current research, such as
gender and age detection, but extend to new areas including style and emotion. Having completed this
classification, we will be able to incorporate emotion into voice synthesis, increasing the acceptance and usability
of Voice AI.

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Faculty Supervisor:

Christopher Anand

Student:

Sepehr Bayat;Habib Ghaffari Hadigheh

Partner:

Voices.com

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Program:

Accelerate

AI-Based Automated Methodologies for Supply Chains: High Precision Tabular Detection and Semantic Modeling of Electronic Components from Datasheets

This project will develop a hybrid framework by integrating AI and machine learning methods with tabular information extraction and semantic modeling to improve the state-of-the-art precision and recall in tabular detection while maximizing the value of extracted information for industrial applications. Following a properly designed pre-processing stage to improve the outcomes of AI techniques, the research problem is three-fold: The first phase involves in improving the success of tabular detection as there is significant room for improvement in the recognition of e-Component tables under the billion+ components data. Next, semantic search will be applied on tabular information to extract specific data for electronic components in the second phase. In the first two phases, classification and self-organizing maps will be used as the AI techniques to meet the desired level of success. The design of an end-to-end holistic system will be accomplished in the third phase of the proposed project.

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Faculty Supervisor:

Burak Kantarci

Student:

Inam Ul Haq;Johan Fernandes;Ahmed Omara;Ji Chu Jiang

Partner:

Lytica

Discipline:

Engineering - computer / electrical

Sector:

University:

Program:

Accelerate

Housing First as Intervention and its Economic Impact

A review of Housing First practices for housing chronically homeless residents, and their cost-saving potential for municipalities and housing organizations. Housing First treats supplying permanent housing as a priority for recovery for chronically homeless adults suffering from mental health and substance abuse issues. This has been shown to be a more effective housing and treatment strategy that traditional programs that target the same population. This report aims to establish the potential cost-savings of these programs to municipalities to encourage funding for the Bloom Group and other organizations that develop and manage Housing First programs.

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Faculty Supervisor:

Heather Campbell

Student:

Rose Southard

Partner:

Bloom Group

Discipline:

Other

Sector:

Health care and social assistance

University:

Program:

Accelerate

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