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

Application of Lystek thermal-alkaline hydrolysis technology to fermentation of primary sludge and waste activated sludge

In this research proposal, we are targeting volatile fatty acids production by subsequent Lystek thermal-alkaline hydrolysis technology followed by fermentation. In these two subsequent processes, organic solids will be converted first thermochemically followed by biologically to volatile fatty acids. To enhance wastewater treatment, phosphorus and nitrogen should be removed to a certain level before discharging into water bodies. However, the challenge here an additional carbon source is required which increases the total cost of the treatment. The idea of this research is to produce an internal carbon source from the solid streams by applying Lystek thermal-alkaline hydrolysis followed by biological fermentation.

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Faculty Supervisor:

George Nakhla

Student:

Basem Mikhaeil Fawzy Haroun

Partner:

Lystek International Inc

Discipline:

Engineering - chemical / biological

Sector:

Natural resources

University:

Program:

Accelerate

Assessing traumatic brain injury knowledge and awareness at community organizations serving women who have experienced intimate partner violence

It is clear that TBI affects a large proportion of survivors of IPV, yet the supports and services provided to this population typically do not take TBI into account. Gaining a better understanding of the barriers and facilitators to TBI knowledge and awareness for staff working in this sector and using this knowledge to inform the development of a sector specific knowledge tool has the potential to reduce the emotional, social, and financial costs of IPV to Canadian society

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Faculty Supervisor:

Rob Shave

Student:

Blake Nicol

Partner:

Kelowna Women's Shelter

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program:

Accelerate

A robotic end-effector for surgical tool handoff

The goal of this research project is to establish a working robotic “hand”, or gripper, that will be able to perform surgical instrument handoff to operating room staff members during surgery. This project will involve a both McGill University and Kinova, the partner organization. Kinova will benefit from this project through increased collaboration with academia, as well as access to medical resources, such as surgical instruments, inquiries with medical professionals, or even observerships within operating rooms.

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Faculty Supervisor:

Jake Barralet

Student:

Baptiste Charbonnier

Partner:

Kinova Robotics

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Investigating Ni-doped TiO2 / graphene oxide composite coatings on various substrates

Environmental pollution is one of the greatest problems that the world is facing today. The conventional detergent and surfactant water based methods are costly, not eco- friendly. Applying photocatalytic coatings that utilize solar energy on the exterior and interior surfaces of buildings is a promising method to tackle air pollution and clean the surfaces with lower cost. Upon sun light and ambient light, after a few chemical reaction, TiO2 nano-particles as a photocatalyst generate reactive agent, which can oxidize organic substances. The developed coatings need to be effectively bound to their substrate to provide efficient visible light activity. The main goal of this project is to find a bonding strategy for attaching coatings to PVC substrate, that maximizes the activity of the coatings as well.

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Faculty Supervisor:

Tohid Didar

Student:

Mehdi Sanjari

Partner:

NanoPhyll Inc

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Program:

Accelerate

Intelligent Activity Tracking and Perception

Tracking humans in video can have a variety of applications including monitoring shoppers in stores, identifying suspicious activities in public spaces, and ensuring the security of senior home residents. Recent advances in video processing and hardware capability on computers have made it possible to track a single human in a video sequence in real time. However, tracking multiple people at the same time without mixing up the identities of different persons is still a major research challenge. Aidant Intelligent Systems Inc. has already implemented real time tracking algorithms internally. To extend their algorithms to reliably track multiple humans. While we will start by considering the input of a single video camera, we will subsequently introduce multiple high end video cameras and develop new algorithms that can improve the accuracy utilizing multiple videos.

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Faculty Supervisor:

Anup Basu

Student:

Chenqiu Zhao

Partner:

AiDANT Intelligent Technology

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Activating Empty Storefronts Through Social Innovation

Vacant storefronts reflect the disinvestment and loss of retail activity that has accompanied suburbanization, while also creating impediments to revitalization. It is therefore important to consider alternative approaches, such as activating empty storefronts through social innovation. Social innovation focuses on public interest and social cohesion, rather than commercial success. In this research, we seek to develop a process for activating empty storefronts in Edmonton, in particular with arts-based activities. We will do so through a focus on two centrally-located neighbourhoods, where we will develop an inventory of empty storefronts, engage local stakeholders and consider how to connect local artists with otherwise disused spaces. At the same time, our research seeks to develop a framework that will allow artists and local communities to activate empty storefront spaces in a more autonomous and efficient manner in the future.

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Faculty Supervisor:

Damian Collins

Student:

Sydney Gross

Partner:

Arts Habitat Edmonton

Discipline:

Urban studies

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Climate Services to Support Adaptation of the Caribbean Tourism Sector

The Caribbean tourism sector is critically important to the Caribbean economy and highly sensitive to climate change and its impacts. Climate-sensitive industries are exploring how to make best use of outputs of climate models, weather forecasting tools and early warning systems as strategies to boost their viability as climate change intensifies. Tools such as these can facilitate informed decision-making that minimizes climate risk and maximizes opportunities arising from extreme weather occurring in visitors’ countries of origin or in competing regions. This research project investigates the feasibility of using of historic climate data to account for observed trends/seasonality in historic visitor arrivals to the Caribbean, and tests to what extent these relationships hold under a range of conditions. The results of work will inform the development of specific, spatially and temporally-explicit climate information products to support public and private decision makers in the region’s tourism sector.

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Faculty Supervisor:

Daniel Scott

Student:

Lindsay Matthews

Partner:

Essa Technologies Ltd

Discipline:

Environmental sciences

Sector:

Sports and recreation

University:

Program:

Accelerate

TBIFinder : A new approach to identify and properly assess mild Traumatic Brain Injury

Mild Traumatic Brain Injury (mTBI) is a common and devastating condition that severely affects millions of people around the world. Following an mTBI, also known as concussion, a medical professional performs standard neurological tests, however, these tests are very subjective, based on patient-reporting, and provide little to no insight on the severity of an mTBI. The company TBIFinder therefore revolutionizes brain injury treatment by providing a fully objective service that uses a Magnetic Resonance Imaging (MRI) machine to assess mTBIs. TBIFinder is a software platform equipped with a sophisticated algorithm that uses medical-grade MRI images to investigate structural and functional abnormalities in individuals suffering from mTBI. The TBIFinder technology has been created by an expert in the MRI field and the software is currently under development to increase access and distribution to the entire medical community. TO BE CONT’D

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Faculty Supervisor:

Nicholas Bock

Student:

Nicholas Simard

Partner:

McMaster University

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

Program:

Accelerate

SNP association study for immune and behavioral responses traits in turkeys

The major issues facing the turkey industry worldwide are (i) emerging and classic diseases, in response to a lack of effective strategies for treatment and prevention, and (ii) cannibalism resulting from antisocial/injurious-pecking behaviour. Genetic studies could explain the variance within, and association between, health, immunity and behavioural traits to help manage these issues. The objective of this project is to improve health and behaviour through the identification of genetic variants associated with immunity and antisocial/injurious-pecking behaviour responses. Information gathered will be used to genetically select for turkeys with high immunity response, reduced injurious behaviour, and favorable sociability. Associations between single nucleotide polymorphisms (SNPs), immune parameters, pecking injury prevalence, and mortality/survival rates will be investigated using a novel approach to accurately estimate the purebred-crossbred correlation between purebred parents and crossbred offspring turkeys. The findings of this project could improve the well-being of turkeys worldwide.

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Faculty Supervisor:

Alexandra Harlander

Student:

Agnese Balzani

Partner:

Hybrid Turkeys

Discipline:

Animal science

Sector:

Agriculture

University:

University of Guelph

Program:

Elevate

Natural Language Generation for Intelligent Tutoring Systems

This project solves the problem of generating content for a conversational intelligent tutoring system (ITS). The ITS gives questions to the student and then analyzes their answer using machine learning algorithms. Based on the student answer, the system will give them the hints and teach them how to solve the question. Moreover, the system will interact with teacher to generate content included questions, hints, and answers.

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Faculty Supervisor:

Sylvie Ratté

Student:

Dung Do Vu

Partner:

AI-Educate

Discipline:

Engineering

Sector:

Education

University:

École de technologie supérieure

Program:

Accelerate

Uncovering Soft Information from Stock Market Conference Calls: Asset Management Perspectives

Investors, regulators, and the general public consume a wealth of textual information every day. Recent advancements in artificial intelligence make machine-reading of textual information plausible. We tackle text mining of financial conference call transcripts—calls of significant corporate events that are widely followed by investors and institutional investors. Our conference calls data include over 200,000 calls calls held by North American companies. We will use textual analysis and machine learning in computer science, combined with large-scale portfolio-formation and regression analysis in financial economics, to uncover systematic patterns in conference calls that will affect future stock returns. Our project aims to enhance the trading strategies of the sponsoring organization, to ultimately benefit its Canadian institutional clients. Our project will also contribute innovatively to the academic literature on textual analysis of conference calls.

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Faculty Supervisor:

Alan Huang

Student:

Chufeng Hu

Partner:

Highstreet Asset Management Inc.

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

University of Waterloo

Program:

Accelerate

Novel Additives to Enhance the Delivery of Foliar Crop Sprays

Crop yield is increasingly important for feeding the global population and making Canada a more self-sustaining country. Active AgriScience is a BC based company that is developing novel technologies and formulati,ons for improving yield in many types of crops including canota, wheat, com, barley, and others. One of the key services that !clive AgriScience offers is the ability to combine a number of agrochemicals into a single formulation, while maintaining the stability and benefits of each individual ingredient. Combining multiple ingredients into a single solution greatly reduces the amount of work required for delivery to the plants, such as reducing the total volume and number of passes in crop spraying. This project aims to combine both optimal chemistry and physical properties to generate better ferti lizers for crop spraying.

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Faculty Supervisor:

John Frostad

Student:

Minghuan Wu

Partner:

Active AgriScience

Discipline:

Engineering - computer / electrical

Sector:

Agriculture

University:

University of British Columbia

Program:

Accelerate

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