Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Development of Advanced Deep Learning Algorithms for Computer Vision and CAV Applications

Deep learning is nowadays one of the most popular areas in computer science which has shown extraordinary performance and enjoyed wide use in a variety of fields. This research project is aiming at exploring the application of deep learning algorithms in two fields: autonomous driving with 5G networks, and facility maintenance with CT scanning. In the first field, a number of driving scenarios will be simulated and evaluated to understand the performance of deep learning-based algorithms, leveraging 5G to take advantage of quick data transfer and calculations. The goal of the second part is to design and evaluate different deep learning algorithms to develop a software for defects detection in industrial facilities. Research findings and conclusions drawn in this project will aid future research and upgrades in deep learning applications.

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Faculty Supervisor:

Bo Wang

Student:

Partner:

New Vision Systems

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Speech and language technology development for next generation interactive voice services

Automated speech enabled human-computer interfaces have become essential for the competiveness of many Canadian industries. The demand for more natural, simplified, and low cost user interfaces has made voice enabling of telecommunications, automotive, and consumer electronics devices nearly ubiquitous. Commercially available automated intelligent assistants have been developed to guide customers through problem solving scenarios. The demand for high performance in these services has increased the pressure to improve the quality and reduce the costs associated with the underlying speech and language technology. However, research and development in the areas of automatic speech recognition, natural language processing, and dialog systems requires specialized expertise and significant linguistic resources. Nuance Communications is a world leader in providing speech based interactive services and has a substantial presence in Canada. The Telecommunications Group at McGill University is one of the top centers in North America for research in communications and speech and signal processing. TOBECONT’D

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Faculty Supervisor:

Richard Rose;Mark Coates

Student:

Partner:

Nuance Communications Canada Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Biocrust Propagation and Transplantation on Mine Tailings and Overburden Substrates for Mine Reclamation

This project aims to develop propagation techniques of biocrust species for mine reclamation. Biocrust -which is the community of mosses, lichens, algae, and cyanobacteria-, protects the soil surface from erosive forces, restore nutrient cycling, sequester atmospheric carbon and retains water in its matrix. Its establishment on reclamation sites is therefore very desirable. However, due to their small size, biocrust may not establish quickly unless assisted. The objectives are: 1) to identify greenhouse propagation strategies for biocrust moss and lichens from Gibraltar mine on tailings and overburden substrates and, 2) to determine the effect of fertilizer on moss propagation. STANTEC, NATS nursery and Taseko | Gibraltar Mine, the research partners, will benefit by gaining insights on propagation of diverse moss and lichen species for reclamation. Gibraltar Mine will obtain propagated biocrust mats and a transplantation experiment design to implement filed research on the mine, situated near Williams Lake, BC.

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Faculty Supervisor:

Anayansi Cohen-Fernandez

Student:

Partner:

Stantec Consulting (Sidney, BC);NATS Nursery;Taseko | Gibraltar Mines Ltd

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

British Columbia Institute of Technology

Program:

Accelerate

Applied intelligence for scheduling and dispatching operations in industrial applications

Artificial intelligence (AI) applications are being widely explored in industrial domain. In this project, we will develop an AI workflow for applying reinforcement learning in simulation models. The goal is to add intelligence in scheduling and dispatching tasks. Reinforcement learning (RL) is a sub-field of AI, where computers are trained to make decisions based on the system state. Simulation models are used as a digital environment for RL training. The model captures the physical system behavior and simulates the system changes in response to the RL decisions. The AI workflow in development will ease the embedding of AI in industrial applications.

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Faculty Supervisor:

Soumaya Yacout

Student:

Partner:

SimWell

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Experimental Investigation and Field Monitoring of Geocell- Reinforced Roads under Freeze-Thaw Cycles

Freeze-thaw is a major cause for distress of roads in Canada. This research project is to investigate the use of Neoloy geocells to strengthen the roads to minimize the freeze-thaw damage. A fully instrumented road stretch will be constructed to monitor the long-term performance of the geocell-reinforced roads subjected to seasonal freeze-thaw cycles. Meanwhile, a series of laboratory-scale model tests will be conducted. The outcomes of this project are (1) quantifying the beneficial effect of geocells in reinforcing roads against freeze-thaw damage, (2) understanding the underlying reinforcing mechanisms, and (3) development of relevant design method. The results of this research will contribute to improvement of the design and construction practices of durable roadways in Canada.

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Faculty Supervisor:

Cheng Lin

Student:

Partner:

Stratum Logics

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Victoria

Program:

Accelerate

Investigating the Industrial Green House Gas (GHG) Emissions in the Greater Toronto and Hamilton Area (GTHA)

The Canadian Net-Zero Emissions Accountability Act 2020 has established an ambitious target of achieving net-zero emissions by 2050. Even though the measures stipulated in the Pan-Canadian Framework on Clean Growth and Climate Change have been helping Canada in making significant progress towards its climate action goals, the eventual goal seems distant. The pursuit for the above target needs more granular data to understand the baseline Green House Gas (GHG) data and implement customized mitigation measures for GHG sources. The objective of the proposed research is to investigate industrial GHG emission data in the Greater Toronto and Hamilton Area (GTHA) for increased granularity. This data will be used to enhance the accuracy of the industry GHG emission estimation and avoid double counting. Outcomes of this research will inform planning and implementing mitigatory measures for industrial emittors in the GTHA.

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Faculty Supervisor:

Rajeev Ruparathna;Gyan Chhipi Shrestha

Student:

Partner:

The Atmospheric Fund

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Discovering novel approaches to robust machine learning and visualization for banking applications

The overall objective of this project is to develop approaches to improve rating robustness that are distributionally robust. We will develop techniques to utilize ensemble learning machine learning models with categorical monotonic constraints. Lastly, we will develop novel data visualization tools for business intelligence tasks that will help decision makers at Scotia Bank.

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Faculty Supervisor:

Apurva Narayan;Joan Hu;John Braun;Fatemeh Hendijani Fard;Mohammad Khalad Hasan;Apurva Narayan

Student:

Partner:

Scotiabank

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

Simon Fraser University; The University of British Columbia - Okanagan

Program:

Accelerate

Filtered far-UVC efficacy at surface and aerosolized decontamination of pathogens commonly found in healthcare settings

UV light is known for its antimicrobial properties. In this project, we expect to use a proprietary lamp which will provide a specific light that will target bacterial, fungal and viral strains commonly found in health care facilities. Results of the project will have a direct impact in the sterilization of areas with a high traffic of health care providers. The company mission is to design, test, and manufacture customizable UVX light. The project is also relevant to COVID-19, as one of the strains used in the panel of pathogens is considered a replacement of the COVID-19 virus.

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Faculty Supervisor:

Horacio Bach

Student:

Partner:

UVX

Discipline:

Life Sciences

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Exploring climate action pathways towards a broader, deeper social mandate for a net-zero carbon economy – Year two

Climate change is understood variously across populations, and climate action strategies receive varying degrees of support. This study will explore climate action pathways towards a broader, deeper social mandate for a net-zero carbon economy. It will specifically identify the communication and engagement strategies that are most resonant with certain segments of the population in BC, as well as more broadly in Canada. Engaging with people who are concerned yet somewhat cautious about the climate change issue, this study will seek to understand the worldviews and values that shape perceptions of climate change. By better understanding audiences in terms of what deeply matters to them, the project intends to gain insight into best practices for a more inclusive climate engagement towards decarbonized economy in BC, Canada.

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Faculty Supervisor:

Robert Kozak

Student:

Partner:

MakeWay;MakeWay Foundation

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Elevate

Exploring climate action pathways towards a broader, deeper social mandate for a net-zero carbon economy

Climate change is understood variously across populations, and climate action strategies receive varying degrees of support. This study will explore climate action pathways towards a broader, deeper social mandate for a net-zero carbon economy. It will specifically identify the communication and engagement strategies that are most resonant with certain segments of the population in BC, as well as more broadly in Canada. Engaging with people who are concerned yet somewhat cautious about the climate change issue, this study will seek to understand the worldviews and values that shape perceptions of climate change. By better understanding audiences in terms of what deeply matters to them, the project intends to gain insight into best practices for a more inclusive climate engagement towards decarbonized economy in BC, Canada.

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Faculty Supervisor:

Robert Kozak

Student:

Partner:

MakeWay;SHIFT Collaborative

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Elevate

High resolution wind turbine power outputforecasting

Wind turbine generator power output and consumer electricity demand vary independently from one another. This presents a difficult situation for electricity grid managers as they attempt to exactly match demand using wind turbines and conventional generators (e.g. hydro, fossil fuels). Accurate forecasting of wind turbine generator power enhances management of the electricity grid, allowing for more wind turbine generating capacity while maintaining grid stability. This research will calibrate, perform sensitivity analysis, and validate the newest high resolution wind power forecasting model for Atlantic Canada. Resolution of space and time have increased from 10 km and 60 minutes, representing an entire wind farm with one forecast point, to 0.1 km and 5 minutes,representing a single wind turbine. Calibration will be completed by forecasting a variety of wind turbine types and farms and comparing with actual performance data. Sensitivity analysis will compare the incremental gains in forecast accuracy due to increasing resolution.

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Faculty Supervisor:

Lukas Swan

Student:

Partner:

Scotia Weather Services Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

High Efficiency Biomass Heating for Remote and Off-Grid Homes

For many regions in Canada, wood is a plentiful and renewable resource that can be burned to offer low-cost and reliable heating for homes and buildings in remote communities. This project will support Demizine Inc., a Canadian company focused on remote and off-grid technology solutions, in developing a new forced-combustion heater system. The wood burning process will be automatically controlled to maximize efficiency and minimize harmful pollutants. To regulate room temperatures, a dedicated heat storage material will collect the heat from the fire and will transmit it to the room slowly over a long time. Some of the heat produced will also be converted into a useable electrical supply to reduce the demand on local generation. The challenges that this project will investigate include how to prevent soot buildup; how best to use the heat storage material; how to control the fire and how to efficiently convert some of the heat into electricity. If the project is successful, it will lead to an improved biomass-based space heater that is low-maintenance, reliable and efficient while also providing a reliable source of electrical power. This will provide substantial benefits especially for remote and off-grid residences and commercial buildings.

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Faculty Supervisor:

Sami Khan;Gordon McTaggart-Cowan;Sami Khan

Student:

Partner:

Demizine Technology Inc;Ingenious Holdings Inc

Discipline:

Engineering

Sector:

Manufacturing; Utilities

University:

Simon Fraser University

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.