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

Improving Resource Estimation with Machine Learning

The proposed project aims to improve the prediction of mineral resources for better decision making throughout a mining project, that is, to decide whether to reject or to process extracted material using machine learning algorithms. This will help maximize profit for mining companies while minimizing environmental impact as the correct material will be processed more often. The use of machine learning algorithms has become popular recently due to the ability to learn important features from a large amount of data. This will be used to add financial value to mining projects by correctly classifying material mined.

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Faculty Supervisor:

Jeff Boisvert

Student:

Camilla Zacche da Silva

Partner:

Teck Resources Limited

Discipline:

Engineering - civil

Sector:

University:

University of Alberta

Program:

Accelerate

Hydrogel Ionotronic Solar Cell

Solar power currently makes up a tiny fraction of all global energy needs. The current silicon based solar cell technologies which on average operate at around 15-17% efficiency have low likelihood of being a total fossil fuel replacement. They have very slow energy payback, their mass production cost savings are hitting a wall, and they are being manufactured with large amounts of Green House Gases.
The collaboration between Callisto Integration Ltd., and Integrated Quantum Optoelectronics Laboratory at the University of Waterloo led by Majedi has been already established in the framework of initiating research program on transformative solar cell technology over the last two years prior to this application. The goal of this research to come up with a step change in the efficiency and cost equation in solar cell technology that it is so compelling that it rapidly transforms the world-wide energy industry. By exploring new device physics and engineering designs, the research program aims at integrating the bioinspired light absorbers based on structural color such as black butterfly wings with bioinspired ionotronic systems specifically to electric eel based on flexible, regenerative and low-cost hydrogel materials.

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Faculty Supervisor:

Hamed Majedi;Sheva Naahidi

Student:

Amirhossein Hajbagheri;Najiba Soudi

Partner:

Callisto Integration

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

“Transit Gender Sunshine List”: Assessment of Representation of Women as CEOs and Directors of Canadian Transit Systems

CUTRIC, in partnership with the University of Windsor are seeking greater understanding of the barriers to participation which have resulted in the low representation of women within the leadership ranks of Canadian transit systems. To better understand this lack of representation, a literature review will be conducted to ascertain what knowledge exists in this field and will be used to provide a foundation for the next steps of the research. Following this, interviews and focus groups with members of transit system leadership will be conducted to discover which barriers exist within this industry. Comparative analyses with U.S. and relevant mobility sector cohorts will be conducted. This research will help CUTRIC to better understand and address systemic barriers within transit systems and increase the representation of women within this industry.

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Faculty Supervisor:

Lindsey Jaber

Student:

Brandy Doan

Partner:

Canadian Urban Transit Research and Innovation Consortium

Discipline:

Education

Sector:

University:

University of Windsor

Program:

Accelerate

Wireless charging based on capacitive-inductive resonance

This project is about a novel chip-based wireless power transfer system. Its integrated and flexible design eliminates the need for power cables for any DC device in homes, offices, parkades and power generating facilities. Unlike existing solutions, the system operates simultaneously with multi electricity requirement devices, has extended range, generates no heat, can transfer power through solid material, while increasing the effective utilization of harvested electricity. It does so at a lower cost per power density than its competitors.

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Faculty Supervisor:

Shahriar Mirabbasi

Student:

Alireza Asoode;Ehsan Hadizadeh Hafshejani

Partner:

Daanaa

Discipline:

Engineering - computer / electrical

Sector:

University:

University of British Columbia

Program:

Accelerate

Toward Net Zero Transportation – Validating environmental benefits of Hydrogen Internal Combustion Engine Vehicles

Hydra Energy Corporation Commercial Demonstration Project based in Prince George, British Columbia 12.4 MT/day of waste hydrogen will be captured, purified and transported to an onsite hydrogen refueling station from which Class 8 tractor-trailer truck fleets will refuel daily. Hydra’s demonstration project can provide a significant reduction in fleet greenhouse gas(GHG) emissions, Particulate Matter and other air emissions. The R&D project results will advance the scientific knowledge of hydrogen in internal combustion engines, support the granting of a third party verification/certification of the environmental benefits of Hydra’s technology, and will help to expand the availability of clean energy transportation technologies in and beyond B.C.

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Faculty Supervisor:

Steven Rogak

Student:

Pooyan Kheirkhah

Partner:

Hydra Energy Corporation

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of British Columbia

Program:

Accelerate

Evaluating the impact of culturally-sensitized brokerage or coaching on refugee newcomers’ nutritional acculturation in a pilot program

Refugee newcomers tend to experience “food” culture shock and are at greater risk of food insecurity due to inadequate social programs. Hybrid social programs may help boost refugee newcomer confidence through knowledge exchange during intercultural culinary experiences. Therefore, this project aims to: First, promote effective cultural brokerage between community sponsor groups and refugee newcomers; Second, empower newcomers to participate in multicultural and intercultural activities during their nutritional transitions into a Canadian “foodscape” in a pilot program. By evaluating the pilot program, the project hopes to contribute to knowledge on the best practices of supporting refugee newcomers during their nutritional transitions in Canada using culturally-sensitive tools and resources.

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Faculty Supervisor:

Craig Janes

Student:

Thoko Phiri

Partner:

Sanctuary Refugee Health Centre

Discipline:

Epidemiology / Public health and policy

Sector:

Health care and social assistance

University:

University of Waterloo

Program:

Accelerate

Design of Novel Catheter Systems for Local Drug Delivery and Cryogenic Lung Biopsy

Balloons have potential benefits over stents for localised drug delivery. The activities in this proposal will aid the development of a dual balloon catheter system. By the end of the internship, the balloon catheter design will be completed and frozen in anticipation of pre-clinical studies.
The gold standard for diagnosis of interstitial lung disease is surgical biopsy, despite associated complications including mortality. Cryogenic lung biopsy presents a new method of diagnosis with low risks compared to surgical methods. This proposal highlights the ongoing development of a cryogenic lung biopsy device. The intern will be required to execute engineering confidence testing as well as verification testing prior to design freeze. By the end of the internship period, a completed design of the cryogenic lung biopsy device will be ready for human use.

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Faculty Supervisor:

Mark Towler

Student:

Cina Mehrvar

Partner:

Agile MV

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

Ryerson University

Program:

Accelerate

An integrated system for gear condition monitoring and predictive maintenance

The management and reliability analysis of gear-driven rotating equipment is critical for the mining industry. The current maintenance practice employs non-destructive inspection methods to perform the assessment of health status. However, the assessment requires the machine under inspection to be shut down for the duration of the inspection. The associated cost is high. An ideal solution for gear inspections would, therefore, allow the device under inspection to continue its normal operation, take frequent or continuous measurements on the gear, and reduce the frequency of travel required by inspectors to the testing site. This research is to develop such a solution by integrating online sensor monitoring and offline inspection for a comprehensive assessment. The predictive analytics will be applied to model the gear degradation through the acquired monitoring signal and inspection data. Thus, predictive maintenance can be achieved to benefit the industry with an efficient solution at a lower cost.

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Faculty Supervisor:

Zheng Liu

Student:

Teng Wang

Partner:

Global Physical Asset Management Inc.

Discipline:

Engineering

Sector:

University:

Program:

The correlation and validation of functional markers and biomarkers for m/sTBIpopulations during simple and complex tasks – Year 1

This project aims to develop and validate markers for adaptive neurological performance therapies for persons with moderate-to severe traumatic brain injury (m/sTBI), with the purpose to further develop clinical paradigms for at-risk populations. In order to accomplish this, we have formed a collaboration between two Universities (Université Laval and McGill University) and two industrial partners (BeamMeUp Inc. (BMU) and Saccade Analytics). This collaboration allows us to combine whole-body movement analysis with BMU’s brain activity measurements (EEG) and Saccade Analytics’ eye-tracking technologies. We will design a protocol in virtual reality and compare the above techniques in healthy and m/sTBI populations. To further elucidate differences between the two populations we will have a series of increasingly complex tasks: joystick navigation and over ground walking in an empty virtual environment, and avoiding virtual pedestrians with different emotional states. Such a task could be very difficult for m/sTBI populations, which have known difficulties in both navigation and recognizing emotions. The project will increase the capacity to deploy BMU’s and Saccade Analytics’ technologies in realistic free movement tasks while adapting to different stages of cognitive impairment. The combined collaboration will help elucidate emotion recognition deficits and validate diagnostic tools with improved bio- and functional markers.

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Faculty Supervisor:

Anouk Lamontagne;Bradford McFadyen

Student:

Sean Dean Lynch

Partner:

Discipline:

Physics / Astronomy

Sector:

Professional, scientific and technical services

University:

Program:

Elevate

Investigation into molecular mechanism of CRV431, a cyclophilin inhibitor, for anti-fibrotic and anti-oncogenic potential in various animal models

Various liver disorders such as fatty liver, liver fibrosis, liver failure and liver cancer, are major healthcare burden and associated with high rate of mortality. Once fatty liver or fibrosis progress to cirrhosis or liver failure, its treatment is challenging due to lack of an effective treatment. Currently available treatment for liver cancer is few anticancer drugs or surgical ablation with liver transplantation. However, available pharmacological interventions have not succeeded fully. In the liver fibrosis events, liver cells start generating extra cellular proteins which interfere with the liver functions as well as activates inflammation in the liver microenvironment. This inflammatory cascade increase liver damage leading to progression of liver cancer. Cyclophilins are known to have role in the progression of various diseases including fatty liver and liver fibrosis. They have central in the metabolic cascade through regulation of mitochondrial, a powerhouse of the cell. Specific inhibitor of cyclophilin, CRV431, has been observed to block the progression of liver fibrosis and liver cancer. CRV431 showed reduced production of extracellular proteins and there by could be useful to diminish the liver fibrosis and associated liver failure and cancer. In this experiment, we will perform various experiments on animals and cells to confirm the therapeutic potential of CRV431.

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Faculty Supervisor:

Neal Davies;Shannon Hebert

Student:

Bhaveshbhai Chhaganbhai Variya

Partner:

Applied Pharmaceutical Innovation

Discipline:

Pharmacy / Pharmacology

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Gelatin coated self-made manganese dioxide as cathode material in aqueous rechargeable zinc-ion battery

Aqueous rechargeable zinc ion battery is a competitive candidate for the energy storage system. Compared to lithium ion battery, it has several advantages: high safety, high energy density, low cost and environmental friendliness. From many cathode materials, manganese dioxide (MnO2) has been widely used because of the low cost, abundant resource and environment friendly features. With the MnO2 cathode, the battery will have high discharging capacity. Furthermore, if MnO2 is coated with gelatin, which is a kind of non-toxic biological macromolecule, the battery will be further stabilized and have longer cycle life. In our study, we will try to figure out at what percentage of the gelatin, the battery will have the best performance. Outcomes of this research will enable the partner organization to reduce production costs, increase the company’s profits, increase the size of the market and further increase the compatibility of the company itself within the energy industry.

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Faculty Supervisor:

Pu Chen

Student:

Qiuyu Shi

Partner:

Enerclean Technology Ltd

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Constructing New Statistical Approaches with CRM to Determining Membership Value to Customers: Evidence from CBA Data

The legal profession, like many professions within the global economy, is undergoing significant change with advances in innovation and technologies and as geo-political and economic shifts are underway. As the only association representing the legal profession across the country, but also active in the global economy through various initiatives including international projects supported by partners such as the UN among others, the ability for the CBA to provide a path for the future of the legal profession is paramount for its membership and its role in supporting the justice system and the rule of law.
The availability of “Big Data” enables the use of sophisticated statistical methods – such as machine learning and text mining – that will help the CBA in better understanding the needs of its membership and how such tools can help delivering unique insights in an ever-evolving digital landscape.

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Faculty Supervisor:

Anindya Sen

Student:

Rishav Raj Agarwal

Partner:

Canadian Bar Association

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

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