Innovations 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

Evaluate and improve crop yield estimation models by assimilating UAV and satellite remote sensing data – Year two

It has been widely recognized that satellite remote sensing data have a great potential in retrieval of crop biophysical variable such as Leaf Area Index (LAI), vegetation canopy cover and fraction of absorbed photosynthetically active radiation (fAPAR), that are indicative of crop growth condition and yield formation. Unmanned Aerial Vehicle (UAV) data are popular in precision agriculture applications, due to their advantage of flexibility, low cost and high spatial resolution.
This project proposes to (1) Calibrate and evaluate several crop yield models for corn and winter wheat in Southwestern Ontario through assimilating different remotely sensed datasets acquired by satellites and UAV. TO BE CONT’D

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Faculty Supervisor:

Jinfei Wang

Student:

Chunhua Liao

Partner:

A&L Canada Laboratories Inc

Discipline:

Geography / Geology / Earth science

Sector:

University:

Western University

Program:

Elevate

Automating Configuration Management and Deployment in Large-scale Data Centers Augmented with Edge Data Centers – Year two

Data centers are now growing and expanding massively. They are large scale and heterogeneous. In addition, they rely more and more on emerging technologies such as Software Defined Networking (SDN) and Network Functions Virtualization (NFV) with “network softwarization” as their key feature. Moreover, they are now being augmented with edge data centers rooted in concepts such as cloudlets, ETSI Mobile Edge Computing (MEC), and fog computing. Such data centers bring a host of new challenges when it comes to the automation of configuration management and deployment. For instance, edge data centers can be mobile. This mobility may cause unpredictable network topology changes and migration of the hosted applications to hardware with different configuration requirements. Accordingly, operators must implement increasingly sophisticated network policies that have to be translated into low-level configuration commands and adjusted to the changes in the network condition. In addition, some applications may have location constraints on some of their components for legislative reasons. Due to this mobility, the mapping of application components to the infrastructure might dissatisfy such constraints. Traditionally, these tasks are done manually. However, this process is tedious, costly, and does not scale. TO BE CONT’D

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Faculty Supervisor:

Roch Glitho

Student:

Carla Mouradian

Partner:

Discipline:

Engineering

Sector:

University:

Concordia University

Program:

Elevate

Development of MCT4-targeting small molecule inhibitors for management of castration-resistant prostate cancer

Late-stage, therapy-resistant prostate cancer (PCa) remains a difficult-to-treat disease that urgently needs better therapeutics. Advanced PCa cells use glucose (sugar) differently than normal cells, substantially increasing lactic acid secretion into the surrounding environment. This supports cancer growth in numerous important ways, including helping PCa avoiding destruction by the patient’s immune system. One critical protein involved in this process is MCT4, which transports lactic acid out of cells. We previously showed that blocking lactic acid secretion from MCT4 can be an effective therapeutic strategy. Recently we used a unique computer-based drug discovery platform to develop a novel class of chemicals with anti-MCT4 effects. We now propose to upgrade these MCT4 inhibitors into potent therapeutics for testing in clinical trials. We will also use a comprehensive panel of patient-derived PCa models to accurately predict patient responses to therapies, accelerating the development of a new generation of effective MCT4-targeting drugs.

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Faculty Supervisor:

Christopher J Ong

Student:

Stephen Yiu Chuen Choi;Jennifer Xiao Jia Niu;Xinpei Ci

Partner:

LAST Innovations Ltd

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Extraction and identification of potential active ingredient from expired pharmaceutical drugs

Every year billions of doses of medications go unused by patients in North America. Some of these are returned to pharmacies for appropriate disposal, but the majority of these are discarded in landfills or flushed into municipal wastewater streams. Our goal for this initiative is to collect unused and expired pharmaceuticals and develop a sustainable method to extract the active compounds, and to establi

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Faculty Supervisor:

Christina Bottaro;Kelly Hawboldt

Student:

Angham Saeed

Partner:

UnBound Chemicals Inc

Discipline:

Chemistry

Sector:

Manufacturing

University:

Memorial University of Newfoundland

Program:

Accelerate

Visualization Analysis of eBus Routes and Facilities

The adoption and integration of electric buses (eBus) will have positive impacts on the efficiency of transportation services, on energy consumption and related environmental benefits as well as costs, In partnership with CUTRIC OCAD U will engage dynamic Visual Analytics and Design Science to support electric bus (eBus) implementation in Canada, allowing the careful tracking of multiple data sources with which to measure the process of adoption, and then providing tools for monitoring of services, and prediction of impacts. We will further research on visualization technologies. New methods that help with public consultation as well as implementation include the use of maps and simple graphics. The research team will work closely with all stakeholders to create a meaningful system that can improve transportation in Canada.

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Faculty Supervisor:

Sara Louise Diamond;Jeremy Bowes

Student:

Greice Mariano

Partner:

Canadian Urban Transit Research and Innovation Consortium

Discipline:

Other

Sector:

University:

OCAD University

Program:

Accelerate

Deep-Learning for Distributed Intelligent Systems with Applications in Robotics and Computer Vision

Agile manufacturing via adaptive robots is the provision of Industry 4.0 for advanced manufacturing that enables more efficient, lean and cost-effective production. It is considered to be the ultimate solution for mass customization of many manufacturing industries such as aerospace industry hindered by their heavy reliance on manual labor. The current practice of programming a robot for every specific task is limited, if not futile, in the many manufacturing industries. In Industry 4.0, robots are intelligent, highly adaptive and can be trained to handle different equipment, tools, products and materials without a need for explicit programming. The proposed project investigates the application of artificial intelligence and machine learning methods to distributed systems consisting of a vision-based coordinate measurement system and industrial robotic arms used in highly automated manufacturing settings. These research results will be verified by the application of the proposed methods to several use cases in production, assembly and quality inspection.

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Faculty Supervisor:

Homayoun Najjaran

Student:

Aria Salari

Partner:

Vancouver Computer Vision Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of British Columbia Okanagan

Program:

Accelerate

A comparative study of microwave-assisted rock fragmentation versus other explosive-free rock breakage technologies

The conventional mining method relies on drilling into a mass of rock, filling the holes with explosive materials, and blasting them. This process leads to extracting the valuable minerals out of mines. But blasting operation can cause several environmental issues like dust generation, ground vibration and so force. Additionally, there are some rich resources that cannot be used with these conventional mining methods. Explosive-free rock breakage technologies look promising in the way of addressing environmental issues. The proposed project aims to equip the intern with sufficient knowledge in this area as well as providing a clear image of the possible niches in the future of explosive-free rock breakage technologies.

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Faculty Supervisor:

Seyed Ali Ghoreishi-Madiseh;Ferri Hassani;Agus Sasmito

Student:

Mohammad Amin Shadi Diznab

Partner:

Sandvik Mining and Construction Canada Inc.

Discipline:

Engineering

Sector:

University:

Program:

Plant community responses to climate change in the northern boreal mountains

Globally, mountain regions (especially those at high latitudes) are undergoing rapid environmental change and plant communities are expected to respond by changing their locations or timing of flowering. Exactly how future plant communities in these regions will look and function is unknown but has important implications for local animals and human communities. Through this project, we will focus on understanding the response of high-latitude plant communities to ongoing warming and predict how these communities will continue to change. This project will provide detailed information about the state of mountain plant communities in Yukon and an understanding of how they may change in the future and influence local wildlife and human communities.

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Faculty Supervisor:

Carissa Brown

Student:

Kirsten Reid

Partner:

Wildlife Conservation Society Canada

Discipline:

Geography / Geology / Earth science

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Workplace Resilience Training: Evaluating the impact of the Be Fit at Work program on individual and organizational outcomes

This research has two main foci: (1) resilience and resilience intervention and (2) workplace dignity. The first main focus of this project is to evaluate Air Institute’s current evidence-informed Pathway to Resilience program, specifically their effectiveness in impacting the key resilience factors targeted in each workshop. This research will also examine data in order to identify certain resiliency factor correlations and/or profiles in order to provide more value to current organizational reports and key insights. Furthermore, this project will develop and deliver online resilience resources (designed in an online course format) based on Air Institutes’ Be Fit at Work program and examine whether this alternative program delivery method can impact the same outcomes as the original in-person workshop intervention model. The second main focus of this project is to validate a newly developed measure of workplace dignity that can eventually be used for additional research and organizational assessment purposes. This project will examine the relationships (both cross-sectionally and longitudinally) between workplace dignity and other important workplace constructs such as mental well-being. All data will come from a mix of cross-sectional and longitudinal self-report surveys.

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Faculty Supervisor:

Kevin Kelloway

Student:

Tabatha Thibault

Partner:

Air Institutes

Discipline:

Psychology

Sector:

Management of companies and enterprises

University:

Saint Mary's University

Program:

Accelerate

Voice pitch cues in speech intelligibility, prosody, and memory consolidation, for cochlear implant users

Cochlear implants are surgical devices that allow deaf people to recover some form of hearing and understand speech. However, current devices are limited, particularly in terms of their ability to transmit voice pitch information. Users have to compensate for these limitations by spending additional resources to decode words, fill-in the gaps, and extract linguistic and semantic meaning as well as the speaker’s emotional state and intent. Over time, this effort results in fatigue and cognitive saturation, which are incredibly taxing on the mind, even in daily tasks. We wish to alleviate some of these difficulties by validating a battery of test sensitive to the cognitive burden of these pitch limitations and put to the test a new processing strategy developed by Oticon to transmit finer pitch cues.

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Faculty Supervisor:

Mickael Deroche;Alexandre Lehmann

Student:

Anastasia SARES

Partner:

Oticon Canada

Discipline:

Psychology

Sector:

Manufacturing

University:

Program:

Development of a microfluidic point-of-care diagnostic device for the discrimination between viral and bacterial infections as a means to reduce antibiotic resistance

The discrimination between viral and bacterial infections has long been a goal in the field of point-of-care (PoC) diagnostics. Such a diagnostic tool would prevent the over-prescription of antibiotics, a leading cause of antimicrobial resistance. Current standard methods involve sending patient samples (throat swabs, blood, urine) to specialized clinical labs. This usually involves expensive and time-consuming protein biomarker assays to identify the cause of infection. However, this technique suffers from poor specificity and sensitivity, and does not provide a measure of antimicrobial susceptibility in the event of a bacterial infection. The herein proposed PoC device leverages new advances in DNA amplification technologies to provide a rapid, facile and non-expensive method of bacterial/viral discrimination through genetic target identification, without the need for benchtop instrumentation. This is accomplished employing a flocculation assay coupled with magnetic nanoparticles (MNPs). Briefly, a novel DNA amplification technology (namely LAMP) is performed along with MNPs functionalized with biomolecular probes against the target. As the target’s genetic material gets amplify, MNPs become incorporated in it, resulting in MNP agglutination. When magnetic capture is performed, the MNPs align forming a distinct strip pattern indicating a positive signal. In the absence of assemblies, MNPs remain dispersed, indicating a negative signal.

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Faculty Supervisor:

Maryam Tabrizian

Student:

Francisico Castiello

Partner:

Galenvs

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Elevate

Micro- and Nanofluidics to Measure Fluid Performance in Unconventional Hydrocarbon Extraction

Oil recovery from underground reservoirs with small pore-scales can have environmental impacts that can be minimized with prior knowledge of the physics behind fluids/fluids and fluids/rock interaction and the type of fluid to employ for oil extraction. Currently, these analyses can be performed in laboratories at reservoir conditions with rock samples in large pressurized vessels capable high pressure (~15 MPa) and temperature (~150 C). However, these measurements take weeks to complete and there is a test-to-test variation due to the lack of repeatability in the rock sample. Interface Fluidics, alternatively, is developing a miniaturized pressure vessel where fluid behaviour can be completely visually mapped in a day and at comparatively low cost. This research project will screen the main parameters affecting the oil recovery efficiency, the precision of the data analyses, to accurately predict the outcome of oil recovery operations before they begin.

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Faculty Supervisor:

Christopher R Clarkson

Student:

Zahra Barikbin

Partner:

Interface Fluidics Limited

Discipline:

Geography / Geology / Earth science

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

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