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

Swishwash Island Tidal Marsh Restoration

This project focuses on physical and biological elements of small tidally influenced marsh channels on Swishwash Island in the central arm of the Lower Fraser River Estuary. In addition to fish data; marine invertebrate, vegetation, sediment, and toporgraphic data will also be collected and analyzed. This will provide insight into the practise of monitoring tide channels pre and post restoration and provide a basis for future monitoring and restoration efforts. Further more it will support future study that should seek to illuminate how these characteristics inform how they function as fish habitat. Increasing this knowledge will ensure better design and maintenance of these rare and important habitats for fish and wildlife. This research will add to the data set of a larger juvenile salmon monitoring project as well as help to inform Raincoast with its future endeavors in marsh habitat restoration in the Lower Fraser River Estuary.

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Faculty Supervisor:

Ken Ashley

Student:

Kyle Armstrong

Partner:

Raincoast Conservation Foundation

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Accelerate

Lifestyle and cognition: a large-scale approach – Year two

Online cognitive testing provides unprecedented opportunities for exploring human brain function among the general population. Cambridge Brain Sciences Inc has created an online cognitive testing platform that has attracted more than 1.5M users and has hosted more than 300 studies of cognition. This research plans leverage their unique dataset to explore the interrelationship between demographic and lifestyle factors, and cognitive performance on a massive scale. For example, investigate how factors such as age, sleep, exercise and practice interact within this large population to impact the profile of cognitive performance. A series of large-scale online intervention studies will be conducted to examine which of these factors causally influence particular cognitive domains and over what timescale. This unique partnership will shed new light on the links between brain function, structure and connectivity, and changes in lifestyle and cognitive performance and will certainly yield an abundance of publishable data.

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Faculty Supervisor:

Andrea Soddu

Student:

Emily Nichols

Partner:

Cambridge Brain Sciences Inc

Discipline:

Physics / Astronomy

Sector:

Medical devices

University:

Program:

Elevate

A cloud-based ecosystem for predictive maintenance and management of shipping container

The shipping container is one of the most important assets of international shipping and global trade. Built to withstand extreme conditions, the quality of these large metallic boxes is often overestimated resulting in the international container fleet being perpetually undermaintained. As trade volumes increase terminal inspectors lave less time to conduct container quality inspections. This project aims to create an automated shipping container inspection system using high definition cameras and machine learning software. Each intern will be tasked with a specific part of the software development permitting them to apply their scholarly engineering learnings to solve real world heritage problems. By working in an office environment and being coached by learned researchers, they will transition from academia to the workplace organically. TO BE CONT’D

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Faculty Supervisor:

Zheng Liu

Student:

Ran Zhang

Partner:

Canscan Softwares and Technologies Inc.

Discipline:

Engineering

Sector:

Automotive and transportation

University:

Program:

Accelerate

Feasibility of clustering road user trajectories in complex scenes for automatic identification of common traffic activities

Proactive road safety analysis allows for the pre-emptive diagnosis of road safety issues without direct observation of traffic accidents by observing accident precursor events instead (i.e. “traffic conflicts”). This approach to road safety diagnosis is made possible with the collection and analysis of large quantities of high-resolution road user trajectory data acquired from video data automatically. However, several practical challenges with implementing this automation remain, including the automatic recognition of activity types in congested and complex scenes, particularly if the trajectory data is noisy. This activity recognition provides contextual information when observing traffic conflicts necessary for understanding specific causes of road safety issues and provides a better understanding of potential collision mechanisms.
Although this task can be performed manually, automation is sought for large-scale application of this technology as the manual task of performing activity recognition becomes cost-prohibitive. This project aims to achieve automated traffic activity recognition with a combination of trajectory clustering techniques and lane usage-learning heuristics from previously available road user classification (itself obtained from image recognition). Feasibility of this approach will be studied, including a sensitivity analysis of trajectory clustering in highly complex urban environments (e.g. intersections) and with lane type identification (road, sidewalk, bike path, etc.).

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Faculty Supervisor:

Liping Fu

Student:

Paul St-Aubin

Partner:

Brisk Synergies Tech Corp.

Discipline:

Engineering - civil

Sector:

Automotive and transportation

University:

Program:

Elevate

Publishing Dis/ability and Public Access

This project will investigate the creation of an accessible digital platform that will serve as the basis for all future publications of PUBLIC as well as a model for similar organizations looking to make the transition from print to digital. Importnatly, this project centers dis/ability communities, methods, and methodologies. Not only will this research situate PUBLIC and Public Access as a leader in digital publishing, but they will be providing access to a larger audience and be better equipped to work with dis/ability communities in the organization’s operations.

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Faculty Supervisor:

Mary Bunch

Student:

Shawn Newman

Partner:

Public Access

Discipline:

Medicine

Sector:

Digital media

University:

Program:

Accelerate

Evaluation of Phytosanitary Measure Efficacy Using Genomics

In recent years, globalization and increasing international traffic have allowed tree infecting micro-organisms and pests to colonize new forests and plantations. These invasions are a threat to global trade and the delicate ecological balance of our forests. Good examples are the Sudden Oak Death (SOD) outbreak caused by Phytophthora ramorum in California and the emerald ash borer in eastern Canada. Such epidemics can wreak havoc and halt international trade resulting in loss of millions of dollars. A set of practices including monitoring, heat or chemical treatments of wood products enforced by Government regulatory agencies is referred to as Phytosanitary measures by the industry. We believe that rigorous surveillance involving monitoring for pathogenic microbes before and after phytosanitary measures is essential to keep these organisms under control. Although great progress has been made in wood treatment for insects and nematodes, the assessment of treatment efficacy remains challenging for pathogens that are impossible to detect. We propose a genomic solution to this challenge.

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Faculty Supervisor:

Richard Hamelin

Student:

Resmi Radhamony

Partner:

FPInnovations

Discipline:

Forestry

Sector:

Forestry

University:

Program:

Accelerate

Voice pitch control in cochlear implant users

This proposal aims to investigate vocal production by users of Med-El cochlear implants (CI), in response to feedback alteration of their voice pitch. The originality of this proposal is to shift the usual focus of CI research from perception to production. We feel that the history of Med-El research on pitch coding would strongly benefit from this novel perspective because the characteristics that make voice pitch more audible may not necessarily be the same characteristics that are relevant to the speech motor planning areas of the brain. It also has repercussions on music research, since it concerns the ability of CI users to regulate their voice pitch while singing with the distorted feedback they receive from their implant.

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Faculty Supervisor:

Alexandre Lehmann

Student:

Razieh ALEMI

Partner:

MED-EL Canada Corporation

Discipline:

Visual arts

Sector:

Medical devices

University:

Program:

Accelerate

Applying complex systems theory and transition management to sustainable agriculture: a case study of Mount Wolfe Farm

Repercussions of conventional large-scale agriculture have been seen in the form of environmental damage and biodiversity loss. There are sustainable alternatives; however, due to the current agricultural system there are barriers to scaling them out. By utilizing aspects of transition management, these limitations can be identified and frameworks can be built to address them. This is all done in the hopes of transitioning the conventional agricultural system to one that is sustainable. By working with Mount Wolfe Farm and the Oak Ridge Institute for Applied Sustainability this research will aid in their goal of scaling out alternative sustainable agriculture.

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Faculty Supervisor:

Daniel McCarthy

Student:

Taylor Ophelders

Partner:

Mount Wolfe Farm

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Accelerate

The potential effects of a carbonic anhydrase IX (CAIX) inhibitor, SLC-0149, on AD pathogenesis

Alzheimer’s disease (AD) is the most common neurodegenerative disorder. SignalChem LifeSciences Corp. recently developed a potent small molecule inhibitor (SLC-0149) for targeting CAIX, a hypoxia inducible gene, in the application of treating cancers. Since hypoxia has been implicated as a factor to facilitate AD development, this study aims to explore the potentiality of applying SLC-0149 to treat AD model mice. More specifically, we will focus on the effects of SLC-0149 on two neuropathological features in AD, including A? deposition and Tau phosphorylation. The partner organization will gain novel knowledge of this drug in treating AD, and possibly extend the applicable scope of this compound.

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Faculty Supervisor:

Weihong Song

Student:

Yufei Wu

Partner:

SignalChem Lifesciences Corporation

Discipline:

Psychology

Sector:

Medical devices

University:

Program:

Accelerate

Advanced machine learning techniques for ore body modelling

Geostatistical techniques offer a means of mathematically approximating the spatial patterns of geological parameters. The geostatistical interpolation and simulation methods are commonly used for modeling ore bodies. The accuracy of these models has significant impacts on the reliability of mine planning and design. The proposed research project aims to apply advanced machine learning methods, geared specifically to the drillhole data type, to better predict the spatial distribution of rock properties (e.g. ore grade and rock hardness) in metallic ore bodies. Both classical and quantum machine learning techniques will be used to develop the ore body models. The accuracy of the machine learning models will be compared to the geostatistical models and with the field data.

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Faculty Supervisor:

Kamran Esmaeili

Student:

Francisca Cudjoe

Partner:

StratumAI Inc

Discipline:

Engineering - civil

Sector:

University:

Program:

Accelerate

A Feasibility Study of a Measure of Resiliency in a Vulnerable Population

Managing daily life can be overwhelming when living with low income, mental illness, addiction, and social isolation/discrimination. When crises occur, intergenerational cycles of trauma can result. Social support and strength can be found in families and support systems, but these are often not ideal. This research project will result in a measurement of resiliency in a vulnerable population at Calgary Urban Project Society (CUPS) Health Education Housing. We will include resiliency in: economic (housing, food, education); social-emotional (community involvement, self-regulation, and involvement in the justice system); physical and mental health; and childhood development. We will engage with clients in developing a measure of resiliency, and make sure that it is a good fit for measuring resiliency in this vulnerable population. We will copyright and share this CUPS Resiliency Matrix (RMX) with other agencies in Calgary, provincially, nationally, and internationally.

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Faculty Supervisor:

Carla Ginn

Student:

Rose-Marie Dolinar

Partner:

Calgary Urban Project Society

Discipline:

Nursing

Sector:

Medical devices

University:

Program:

Accelerate

Seismic performance assessment of smart highway bridges using life-cycle costing

Bridge infrastructure constitutes a substantial portion of the national wealth of Canada, whose performance during earthquake events has a significant impact on the public safety. How to enhance the seismic performance of bridge structures is a huge big challenge in civil engineering. And how to promote the application of advanced technique in civil engineering is another big challenge. The project will provide insight into the long-term performance of a novel bridge reinforced with Shape Memory Alloy (SMA) bars in the life-cycle context, which is helpful for its application and acceptance by the decision makers. Bourcet Engineering is a renowned company in Western Canada for offering innovative solutions to civil infrastructure, and resource industries. The collaboration will place Bourcet Engineering at the forefront of new technologies and development in infrastructure systems and enable it to become a world leader in the advanced analysis and design of structures.

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Faculty Supervisor:

Shahria Alam

Student:

Maryam Golestani

Partner:

Bourcet Engineering

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Program:

Accelerate

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