Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Investigating the performance of ultra-thin graphene oxide films for natural gas dehydration

The main goal of this project is to identify the key performance parameters of the membrane and collect some data on the membrane performance. To achieve this goal the intern needs to first develop a testing system to evaluate the dehydration performance of the membrane. After building the test system the intern will utilize the system to check the performance of a wide range of membranes and select which ones work best as well as factors that would impact the membrane performance. Then the test system will be brought to natural gas plant to verify the performance. Evercloak will supervise the intern and support out of lab research activities on their premise. Evercloak will benefit as the results of this project will inform key decisions within their technology development roadmap in addition to talent acquisition/training.

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Faculty Supervisor:

David Simakov

Student:

Partner:

Evercloak

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Topologies and Linearization of High Peak-to-Average Power Amplifiers for Digital Broadcast Radio Applications

Broadcast radio is changing from an analog medium based on frequency modulation (FM) to a full digital broadcast based on orthogonal frequency division multiplexing (OFDM). The high peak-to-average power ratio of the OFDM waveform requires different power amplifier topologies and a high degree of linearity. The research in this project analyzes current amplifier performance for digital radio broadcasting in the FM band, investigates new linearization techniques and explores new amplifier topologies. Key research aspects are improving linearity to meet spectral emissions requirements and increasing power added efficiency (PAE) for amplifiers broadcasting a hybrid waveform composed of both an FM and OFDM component that is increasing in injected power with the goal of an all digital OFDM waveform.

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Faculty Supervisor:

Jean-Francois Bousquet

Student:

Partner:

Nautel

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Nutrient removal using a glass-base engineered adsorbent for treating public effluence and agricultural wastewater: designing of a portable continuous setup and study of an agricultural application of the saturated adsorbent

Agricultural wastewater and public effluents often contain elevated levels of phosphorous and nitrogen that limit its ability to be directly repurposed as crop fertilizer or irrigation spray. Removal of soluble nutrients from wastewater is difficult. Current treatment options have high investment costs and are often not well suited for smaller farm sizes common in Canada. This research intends to characterize the utility of a solid-state adsorbent material engineered by NPower Clean Tech Corporation that shows promise for removing anionic forms of phosphorous and nitrogen. Successful application of the saturated (spent) adsorbent for crop growing purposes (as soil amender and slow release fertilizer) will add more value to the whole process particularly for small size farms. If the product economically recovers these nutrients, then this research may directly benefit Canadian farmers, public sewer utilities, and waste generating industries by offering an additional means of controlling their waste stream profiles.

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Faculty Supervisor:

Hossein Kazemian

Student:

Partner:

NPower Clean Tech Corporation

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Northern British Columbia

Program:

Accelerate

Electrocardiogram (ECG) filtering algorithms for real-time ambulatory applications in harsh environments

The electrical activity of the heart i.e. ECG, can convey a lot of useful information about an individual’s health and psychological states. Wearable devices recording ECG signals can help monitor the physical health of soldiers remotely and help make critical decisions like casualty detection, remote triage, and medical management. However, ECG signal quality from these devices is often poor due to various problems such as sensor or body movement, environmental disturbances etc. In order to improve the signal quality there is a need to develop filtering methods for ECG so that reliable decisions can be made about individuals health even in noisy conditions. Additionally, in order to make medical decisions without any delays, it should not have a lag which puts additional constraints on the kind of filtering methods we can use. Hence there is a need for research in real time filtering method for ECG.

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Faculty Supervisor:

Tiago H Falk

Student:

Partner:

Thales Canada Inc

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Information and Communications Technology

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Accelerate

Tightly coupled visual-inertial-LI DAR SLAM for real time application

Since Amazon robotics expanded the use of drones to package deliveries to customers, drone applications have been expanded to many industries along with its ability to perform various tasks autonomously. The fundamental technology of drones’ autonomy comes from perceiving its surrounding, creating its own map based on onboard sensors and estimate its location within the map. This technology, also known as Simultaneous Localization and Mapping (SLAM), has been on the rise especially in mining and construction industries for surveying and mapping the site more efficiently; thus, many research works have been performed to improve robot’s SLAM technology. Although various sensor suites have been researched to improve SLAM performance, this project focuses on the novel contribution of developing a robust and accurate 3D SLAM by jointly optimizing stereo cameras, IMU and LiDAR measurements. This project will not only advance the field of autonomous navigation but will also help ARA Robotique to be competitive in the UAV market.

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Faculty Supervisor:

James Richard Forbes

Student:

Partner:

ARA Robotique

Discipline:

Engineering

Sector:

Aerospace; Technology; Other

University:

McGill University

Program:

Accelerate

Implementation and Characterization of a Prototype of Optical Free-space Interconnect for Space Applications

As we advanced into the information age, the need for high capacity communication channels is becoming ubiquitous. As the next generation of satellites is being deployed there is a need for efficient interconnections between them, especially for those forming low earth orbiting constellations for the coming Internet-of-Space applications. The limited radio frequency spectrum available is not sufficient to implement these communication links, and thus, free-space optical interconnects (FSOIs) are expected to become the technology of choice to interconnect satellites. Reflex Photonics, a company from Kirkland, Quebec, has been providing optical interconnect solutions for connections inside satellites for the past 3 years and now wants to explore how it can leverage its expertise to build FSOI transmitters for space applications. To do this, they want collaborate with Prof. Ménard of UQAM to develop a FSOI transmitter demonstrator in order to investigate the challenges of implementing this technology for space applications.

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Faculty Supervisor:

Michaël Ménard

Student:

Partner:

Reflex Photonics

Discipline:

Engineering

Sector:

Manufacturing

University:

Université du Québec à Montréal

Program:

Accelerate

Elucidating the safety and efficacy profiles of hypervalent antimicrobial agents towards combatting antibiotic resistance

Recent global events have shed light on the vulnerabilities within our health care systems. Undoubtedly, unpreparedness in the face of a global crisis will lead to disastrous repercussions. The growing threat of antimicrobial resistance is hailed as a pandemic in the making. As the antibiotics drug development pipeline dwindles, effective solutions to combat antimicrobial resistant strains of pathogenic bacteria are urgently needed. Here, we evaluate the antimicrobial efficacy and safety profile of a novel library of hypervalent antimicrobial agents. We explore the susceptibility of pathogenic bacterium, including resistant clinical isolates, in parallel with in-vitro cytotoxicity assays towards determining leading antimicrobial candidates. Working with a multidisciplinary team, the outcomes from this study will translate directly from bench to bedside resulting in the development of novel medical devices to combat antimicrobial resistance in a health care setting.

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Faculty Supervisor:

Cezar Khursigara

Student:

Partner:

Exciton Technologies Inc (ON)

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Optimal design of composite structures

A composite material is a macro-level combination of two or more material whose properties can be tuned based on the macro-scale distribution of the material. D.I. Self-Composite Alloys Inc., are working on developing a new generation of materials. Their preliminary findings have shown that it is possible to create metals with improved mechanical properties by just tuning the manufacturing process. They are interested in a design optimization tool for composites. Since traditional design optimization would an iterative time-intensive process, the project will aim to “teach” machine learning algorithm optimal solutions for different designs. Specifically, design optimization will be performed for a sample application over a constraint space, and an artificial neural will be trained on this data. This train network can then predict the optimal design without the need to perform a full optimization.

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Faculty Supervisor:

Krishna Vijayaraghavan

Student:

Partner:

DI Self-Composite Alloys Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Effect of carboxylated cellulose nanocrystals on the properties of water-based latex coatings

This project proposes the use of carboxylated cellulose nanocrystals (CNC) – developed and manufactured by Anomera Inc. from Canadian forest – as a nanosized ingredient to tailor a set of properties in composites made from water-based latexes used for coating applications such as sealants and paints. Incorporation of the CNCs will enhance the performance of the coating and prolong its lifetime. Due to its unique properties, CNC can significantly enhance the durability of coatings, making them more resistant to abrasion, scratches and impact, thereby extending their useful lifetime. Project results are expected to promote the use of Anomera’s CNC material in the coatings industry, as well as to promote Canadian forest sector as Canada is considered among the global leaders in the exportation of forest products.

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Faculty Supervisor:

Michael Cunningham

Student:

Partner:

Anomera

Discipline:

Engineering

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

Development of Advanced Graphene-Based Antiviral Nanocomposites against COVID-19

The outbreak of the coronavirus disease (COVID-19) is a serious threat to humanity worldwide. It is known that COVID-19 is a respiratory infection, which can be transmitted from person to person via small aerosolized droplets. The goal of this project is to develop advanced functional graphene-based nanocomposites with robust antiviral and antibacterial activities. The graphene-based nanocomposite layer not only filters out particulates, but also binds with and disinfects coronavirus. The proposed functional nanocomposites will be coated onto fabric to create advanced filters for the fabrication of novel re-usable masks. In addition to face masks, there also exists an immense demand for other personal protective equipment (PPE) such as face shields and aprons to protect front-line workers. The developed functional graphene-based nanocomposites can be coated onto the PPE as an antiviral layer to effectively disinfect coronavirus, thereby providing a safer environment for both patients and health care professionals.

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Faculty Supervisor:

Aicheng Chen

Student:

Partner:

ZEN Graphene

Discipline:

Physics

Sector:

Manufacturing; Mining

University:

University of Guelph

Program:

Accelerate

A conversational assistant for accessing Covid-related benefits

We will develop a conversational assistant that can answer Canadian employee and employer questions about Covid benefits. The assistant will ask the user a minimal, easy-to-understand set of questions to help them figure out whatever benefits they are eligible for and will direct them to the relevant sites for applying for these benefits. The partner organization will thus have yet another tool with which to support their clients through this crisis. Data collected from interactions with the tool will also be leveraged to provide real-time information to stakeholders about the benefits being sought, and hence of the extent of the economic challenge facing Canadian workers and businesses in the midst of the Covid pandemic.

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Faculty Supervisor:

Raj Singh

Student:

Partner:

PaymentEvolution

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

AI powered mobile application to detect plagiocephaly and craniosynostosis in infants

Technology can be a valuable tool to help physicians improve the care they provide for their patients. We set out to determine if an AI powered mobile application could help primary care physicians detect clinically significant positional plagiocephaly and/or craniosynostosis during regular well-baby visits. The intern will directly help in planning, conduction, and statistically analyze the performance of an AI software in addition to gaming hands on experience conducting a clinical pilot study. The partner organization in return will benefit by further validating the accuracy, sensitivity, and specificity of their AI software while also generating data to further improve it.

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Faculty Supervisor:

Mirko Gilardino

Student:

Partner:

Little Angel Medical

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

McGill University

Program:

Accelerate

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