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

Stronger Together: Social Infrastructure for Community Health

The proposed research program aims to better enable the provision of digitally based self-management support programs for Canadians who live with chronic conditions that were further complicated by COVID-19. In order to accomplish this objective, this study will evaluate existing self-management programs for adults with chronic conditions and curate condition specific evidence-based content that will be provided through the Curatio platform. The project will also evaluate the success of the program through metrics obtained through the platform data as well as evaluating patients experiences with the program. This project will not only be beneficial to Curatio by expanding the content of the platform as well as their patient database, but to healthcare providers in general as it can be accessed by organizations to offer digital evidence-based support to their patients who live with complex chronic conditions.

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Faculty Supervisor:

Amy Latimer-Cheung

Student:

Alexandra Walters

Partner:

Curatio Networks Inc.

Discipline:

Kinesiology

Sector:

University:

Queen's University

Program:

Accelerate

Fusing Terahertz and MWIR Technologies to Recycle E-waste Black Plastics

The use of both Terahertz and Mid-Wave Infrared scanning with artificial intelligence software to interpret and identify different types of black plastics. Current sorting technology cannot sort black or very dark colored plastics as they have very similar features, and therefore cannot be recycled. To solve this problem a new technique must be established. Each polymer material that interacts with terahertz and MWIR rays have a unique spectral signature. Combining terahertz scanning with MWIR to get additional sensor data will allow us to train an artificial neural network to sort and identify black plastics with high accuracy while mitigating the shortcomings of both technologies. With the objective of expanding environmental awareness, this research will count towards keeping our landfills more organized and reducing combined waste.

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Faculty Supervisor:

Safieddin Safavi-Naeini;Hamidreza Karbasi

Student:

Anand Sandagdorj

Partner:

TeTechs Inc.

Discipline:

Engineering - computer / electrical

Sector:

University:

University of Waterloo

Program:

Digital Audio Multi-Effects Platform for Eurorack Modular Synthesizers

Modular synthesizers are becoming more commonplace in the studios of musicians around the globe. These instruments, first invented in the 1960s, are composed of modules, each of which performs a unique function, such as generating sounds or modifying them by applying effects such as distortion, echo and more. When building a modular synthesizer, the user is faced with a number of choices – which kind of modules do I need?
In lieu of buying dozens of modules to find the correct one for their style, they can instead opt for another solution.
Modern digital technology has given rise to a type of module that can perform many different functions depending on the context. These modules are programmable and can store dozens of different algorithms. This provides the user with a sample-platter of the various offerings in the field of modular synthesizers. The main drawback to these types of modules is that they lose dedicated hardware controls for sound processing and synthesis algorithm variables (one of the main advantages of modular synthesizers).

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Faculty Supervisor:

Marcelo Wanderley

Student:

Josh Rohs

Partner:

Intellijel Designs Inc

Discipline:

Music

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Decision-making environment for optimal envelope retrofit of the office building

Energy-efficiency upgrades of existing buildings offer substantial energy and greenhouse gas emission reductions. Infrared thermography (IRT) of the building envelope is a non-destructive test that can be used to target retrofit actions and motivate energy efficiency improvements. Recent advances in IRT technology include using drones to collect thermal imaging data from the buildings efficiently, thoroughly, and without disturbing the occupants. The goal of this project is twofold. The first objective is to develop logic to integrate building information obtained through advanced IRT-drone technology into a comprehensive whole-building energy simulation tool, EnergyPlus. The second objective is to create a decision-making environment for the optimal retrofit of a low-rise office building located in Markham. The proposed research is the first stage in developing the cognitive retrofit environment for optimal energy-efficiency upgrades of envelopes of typical commercial and institutional facilities across Canada.

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Faculty Supervisor:

Miroslava Kavgic

Student:

Mohamed Ramadan Hussien Mahmoud;Yasaman Dadras

Partner:

QEA Tech Inc

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

Reliability Improvement of Gallium Nitride (GaN) Devices

Gallium Nitride (GaN) semiconductors are more and more being used in switching power devices and the GaN transistors are the promising candidate of next-generation power devices that can substitute Silicon (Si) devices.
However, this young technology suffers from reliability difficulties. The aim of this research work is to contribute to the understanding of the properties of GaN devices. These studies give an understanding of the more complex dynamic instability and static reliability issues of GaN devices which helps manufactures to improve the reliability of GaN transistors. In addition, this research project presents one approach to overcome the problems of existing GaN gate drivers and address the challenges of robust and safe driving of fast switching GaN transistors. The results of this research proposal will accelerate emerging markets such as electric vehicles, renewable energies and motor drives to reduce oil consumption and also our reliance on fossil fuels. Innovation of this proposal would be attractive for industry, because the results of this research would become a money-making activity for the industry.

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Faculty Supervisor:

Majid Pahlevani

Student:

Iman Abdali Mashhadi

Partner:

GaN Systems Inc.

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

Organic cathode materials for alkali-ion batteries

Clean renewal energy sources, such as hydro, wind, and solar energies, have been receiving increasing demands for sustainable societal developments. Due to their intermittent nature, rechargeable batteries are required for the storage of these renewal energy sources. Current rechargeable batteries constructed with conventional inorganic cathode materials have restricted energy densities, along with sustainability issues. The proposed MITACS project aims at maturing and commercializing an organic cathode materials technology that discloses a new family of organic cathode materials featured with a unique redox functionality. The accomplishment of this project will enable the industry partner to further the commercialization activities of this technology and to add data for strengthening the Patent at the upcoming PCT filing stage.

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Faculty Supervisor:

Zhibin Ye

Student:

Xudong Liu;Ximeng Zhang

Partner:

Aligo Innovation

Discipline:

Engineering - chemical / biological

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Aerial drone to perform adaptive in-water sampling in marine environments

In-water measurement and sample collection solutions for environmental marine monitoring will be studied. Fine-scale responsive measurements cannot be achieved cost-effectively with satellites or aircraft. For near-surface monitoring, an unmanned aerial system (UAS) could achieve the necessary spatial-temporal sampling.
The proposed solutions deploy a payload sensor and/or sample grabber from an UAS with a winchable tether. However, the winch and tether can impact the UAS dynamics. There is almost no work which considers this especially when the payload inertia is comparable to the UAS’.
An autonomous dynamic compensation scheme will be devised for the payload in various operational states and winds. The autonomy would also provide the adaptive sampling path-planning to achieve the mission. This will be developed in the above-mentioned framework. A working prototype will be built based around a COTS (Spiri-Mu) UAS. Its performance envelope will be measured to provide verification.

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Faculty Supervisor:

Mae L Seto

Student:

Cesar Rodriguez

Partner:

Spiri Robotics

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Dalhousie University

Program:

Building capacity in support of wastewater-based epidemiology to aid public health decision-making in southwestern Ontario

Novel coronavirus disease 2019 (COVID-19) is an acute respiratory disease induced by SARS-CoV-2. To date >1,000,000 deaths have been reported worldwide. Although testing capacity has expanded, Canada still faces challenges to realizing wider scale testing. A promising alternative to large-scale population testing in Canada may lie literally beneath our feet in our municipal sewer systems. This Mitacs program will measure SARS-CoV-2 viral RNA signal in wastewater system to track the trends in community infections of Windsor-Essex area and expand into London-Middlesex region. Wastewater-based epidemiology will provide an early-warning of re-emergence of infection in a community thus aiding in public health decision-making.

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Faculty Supervisor:

Michael McKay

Student:

Qiudi Geng

Partner:

SM Research Inc.

Discipline:

Biochemistry / Molecular biology

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Exploratory Analysis of Alzheimer’s Disease Detection Using Eye Scans

Optina Diagnostics works on detection of Alzheimer’s Disease using hyperspectral eye imaging techniques. This project was an exploratory analysis of data gathered by Optina so far in order to optimize and fit models to most effectively predict cases. Recommendations from the analysis were then handed over to Optina for future work.

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Faculty Supervisor:

Blake Richards

Student:

Nahiyan Malik

Partner:

Optina Diagnostics

Discipline:

Computer science

Sector:

Manufacturing

University:

McGill University

Program:

Development and Testing of an Augmented Reality First Aid Training Program

The objective of this project is to develop and test a first aid training program using Augmented Reality (AR), a technology that superimposes computer-generated animations on a user’s view of the real world, in the context of lifesaving education. Education is an industry that is currently being transformed using the latest technologies. In the advancing healthcare industry, the uses of such technologies as AR, medical animation, online learning, and simulation are quickly becoming the standard for delivering accessible, interactive, and high-quality training. PULSE Lifesaving Inc. is working in collaboration with applied research partners Mohawk College and McMaster University to develop a prototype first aid program using AR for deployment and product testing.

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Faculty Supervisor:

Marilyn Powers

Student:

Dragan Visekruna;Nicolas Tristani

Partner:

PULSE Lifesaving

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

Mohawk College

Program:

Accelerate

Marine Protected Areas and Economic Development in Nunavut

Nunavut’s Inuit organizers have identified conservation, including the establishment of parks and protected areas, as an important pillar of culturally appropriate and sustainable economic development in Northern Canada. This project responds to this goals of establishing a ‘conservation economy’ in Nunavut by examining the economic costs and benefits associated with Marine Protected Areas in Nunavut. Through document analysis, it will identify ways for Inuit communities to capture larger shares of the wealth generated by Marine Protected Areas. This research will help advance Oceans North’s mandate to promote community-driven marine conservation.

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Faculty Supervisor:

Jonathan Peyton

Student:

Warren Bernauer

Partner:

Oceans North

Discipline:

Environmental sciences

Sector:

Other services (except public administration)

University:

University of Manitoba

Program:

Accelerate

Security Risk and Control Modeling for Deep Learning using the SAGETEA Methodology

SageTea Software will contribute expertise in working with Smalltalk and the SAGETEA model. This includes demonstrating the current database model and how it works. SageTea Software will also demonstrate its current implementation of Deep Learning libraries on the Python side including Tensorflow, Kibana and Elastic Search. We will provide expertise in the SAGETEA methodology and assist the researcher with developing additional mathematical analysis, software analysis design and coding. We will assist with testing and also supply infrastructure including cloud environments and software tools. SageTea Software will benefit by being able to deliver low code AI capabilities to its clients relying on the latest models available and implemented by the research partner. This will increase SageTea Software’s competitive edge and agility to deliver.

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Faculty Supervisor:

Arash Habibi Lashkari

Student:

Gurdip Kaur

Partner:

SageTea Inc.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of New Brunswick

Program:

Accelerate

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