Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
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Projects by Category

Feasibility of clustering road user trajectories in complex scenes for automatic identification of common traffic activities

Proactive road safety analysis allows for the pre-emptive diagnosis of road safety issues without direct observation of traffic accidents by observing accident precursor events instead (i.e. “traffic conflicts”). This approach to road safety diagnosis is made possible with the collection and analysis of large quantities of high-resolution road user trajectory data acquired from video data automatically. However, several practical challenges with implementing this automation remain, including the automatic recognition of activity types in congested and complex scenes, particularly if the trajectory data is noisy. This activity recognition provides contextual information when observing traffic conflicts necessary for understanding specific causes of road safety issues and provides a better understanding of potential collision mechanisms.
Although this task can be performed manually, automation is sought for large-scale application of this technology as the manual task of performing activity recognition becomes cost-prohibitive. This project aims to achieve automated traffic activity recognition with a combination of trajectory clustering techniques and lane usage-learning heuristics from previously available road user classification (itself obtained from image recognition). Feasibility of this approach will be studied, including a sensitivity analysis of trajectory clustering in highly complex urban environments (e.g. intersections) and with lane type identification (road, sidewalk, bike path, etc.).

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Faculty Supervisor:

Liping Fu

Student:

Partner:

Transoft Solutions Tech Corp;University of Waterloo

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Elevate

Detection of Mental Health Conditions from Textual Device Communication – Year two

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset and progression of developmental and mental health issues in youth. The addition of a postdoctoral researcher in Natural Language Processing (NLP) will allow the project to run quality assessments of the text-based data sets that we are developing for the purposes of assessing these behavioural and mental health concerns in youth. This will allow SafeToNet to develop new deep-learning tools and assess their performance against current research in NLP. The technology will be used in real time detection of safety and childhood development issues, with the technology being immediately deployed in the monitoring tool.

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Faculty Supervisor:

Diana Inkpen

Student:

Partner:

SafeToNet Canada Inc;University of Ottawa

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Elevate

Detection of Mental Health Conditions from Textual Device Communication

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset and progression of developmental and mental health issues in youth. The addition of a postdoctoral researcher in Natural Language Processing (NLP) will allow the project to run quality assessments of the text-based data sets that we are developing for the purposes of assessing these behavioural and mental health concerns in youth. This will allow SafeToNet to develop new deep-learning tools and assess their performance against current research in NLP. The technology will be used in real time detection of safety and childhood development issues, with the technology being immediately deployed in the monitoring tool.

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Faculty Supervisor:

Diana Inkpen

Student:

Partner:

SafeToNet Canada Inc;University of Ottawa

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Elevate

Towards Understanding the Behaviour of FRP-Reinforced Structures under Changing Climate Trends – Year two

Fibre reinforced polymers (FRP) have become an attractive solution to make infrastructure corrosion- and disaster-resistant. Cities like Toronto have numerous structures and bridges already retrofitted with FRP and many more underway. However, FRPs effectiveness and and durability is sensitive to extreme thermal conditions, which can cause significant mechanical and durability issues. Climate change, one of the biggest challenges facing the planet today, is causing more frequent and severe weather events, such as rising service temperatures, heat waves and extreme temperature variation cycles, endangering the current infrastructure. Thus, the long-term impact of these unavoidable new temperature trends on FRP-reinforced structures needs to be better understood and evaluated. To that effect, in the proposed study, numerous FRP-reinforced specimens will be constructed and tested to investigate the effects of the rising temperatures and temperature cycles on bond performance, strength and ductility of FRP-reinforced members. The finding will not only help the industry partners to improve the quality of their FRP products to be durable against heat waves and temperature swings but will also provide the necessary data required to update Canada’s FRP codes to be more Climate-Resilient.

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Faculty Supervisor:

Shamim Sheikh

Student:

Partner:

University of Toronto;Pultrall

Discipline:

Engineering

Sector:

Construction and infrastructure; Manufacturing

University:

University of Toronto

Program:

Elevate

Towards Understanding the Behaviour of FRP-Reinforced Structures under Changing Climate Trends

Fibre reinforced polymers (FRP) have become an attractive solution to make infrastructure corrosion- and disaster-resistant. Cities like Toronto have numerous structures and bridges already retrofitted with FRP and many more underway. However, FRPs effectiveness and and durability is sensitive to extreme thermal conditions, which can cause significant mechanical and durability issues. Climate change, one of the biggest challenges facing the planet today, is causing more frequent and severe weather events, such as rising service temperatures, heat waves and extreme temperature variation cycles, endangering the current infrastructure. Thus, the long-term impact of these unavoidable new temperature trends on FRP-reinforced structures needs to be better understood and evaluated. To that effect, in the proposed study, numerous FRP-reinforced specimens will be constructed and tested to investigate the effects of the rising temperatures and temperature cycles on bond performance, strength and ductility of FRP-reinforced members. The finding will not only help the industry partners to improve the quality of their FRP products to be durable against heat waves and temperature swings but will also provide the necessary data required to update Canada’s FRP codes to be more Climate-Resilient.

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Faculty Supervisor:

Shamim Sheikh

Student:

Partner:

Fiberline Composites Canada Inc;University of Toronto

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program:

Elevate

Enzymatic nano-immobilisation facilitated by 2D materials for antifouling coatings – Year two

Enzyme immobilisation is crucial for preserving the enzyme activity while enabling the enzymes to be recovered and reused for multiple applications in biocatalysis. However, immobilisation can change the structure and functionality of enzymes. Therefore, immobilisation of enzymes needs to be carefully investigated and controlled at fundamental levels. The emerging two-dimensional (2D) materials, such as graphene and transition metal dichalcogenides exhibit unique physico-chemical properties which make them well suited for enzyme immobilisation. Considering this, our research will focus on the use of 2D nanomaterials as enzyme immobilisation materials to modify and control the stability, selectivity and activity of various enzymes. Through this project, we will design novel green routes for the production of biocompatible 2D materials to be used as immobilisation supports for various types of enzymes. This will assist in understanding the enzyme nano-immobilisation mechanism and will open new applications for the functionalized 2D materials in enzymatic nanobiotechnology. Specific enzyme-immobilised 2D materials developed with the partner company of Biosa Technologies, will possess bactericidal properties which will be applied for producing antifouling coatings for food preservation. This project will provide Biosa significant scientific and technological achievement and commercial success in improving enzymatic technology and enhancing antimicrobial coatings market in Canada.

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Faculty Supervisor:

Hadis Zarrin

Student:

Partner:

Biosa Technologies;Toronto Metropolitan University

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Elevate

Enzymatic nano-immobilisation facilitated by 2D materials for antifouling coatings

Enzyme immobilisation is crucial for preserving the enzyme activity while enabling the enzymes to be recovered and reused for multiple applications in biocatalysis. However, immobilisation can change the structure and functionality of enzymes. Therefore, immobilisation of enzymes needs to be carefully investigated and controlled at fundamental levels. The emerging two-dimensional (2D) materials, such as graphene and transition metal dichalcogenides exhibit unique physico-chemical properties which make them well suited for enzyme immobilisation. Considering this, our research will focus on the use of 2D nanomaterials as enzyme immobilisation materials to modify and control the stability, selectivity and activity of various enzymes. Through this project, we will design novel green routes for the production of biocompatible 2D materials to be used as immobilisation supports for various types of enzymes. This will assist in understanding the enzyme nano-immobilisation mechanism and will open new applications for the functionalized 2D materials in enzymatic nanobiotechnology. Specific enzyme-immobilised 2D materials developed with the partner company of Biosa Technologies, will possess bactericidal properties which will be applied for producing antifouling coatings for food preservation. This project will provide Biosa significant scientific and technological achievement and commercial success in improving enzymatic technology and enhancing antimicrobial coatings market in Canada.

View Full Project Description
Faculty Supervisor:

Hadis Zarrin

Student:

Partner:

Biosa Technologies;Toronto Metropolitan University

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Elevate

Characterization and Modeling Inclusion Population during Secondary Steelmaking – Year two

The ultimate goal of this project is to develop a fundamental understanding of inclusion evolution during a particular refining process in secondary steelmaking unit. The particular focus is firstly on developing a detailed characterization of the inclusions formed during refining in the Stelco Ladle Metallurgy Facility, and secondly on adapting the existing McMaster ladle metallurgy/inclusion model for the Stelco facility. Ultimately this is expected to achieve better process and product control. Inclusions, depending on their size and type, may profoundly affect steel properties. Depending on their type and abundance they may have an equally profound effect on the process, for example nozzle clogging by inclusions, leads to interruptions of the casting process. For these reasons, the nature and quantity of inclusions formed is an important criterion of assessment for refining processes. It is crucial to understand and control the evolution of inclusions as a function of process conditions either to minimize the quantity or modify the type from deleterious to benign inclusions. Moreover, a comprehensive kinetic model that considers steel-slag reactions and steel-inclusion reactions is a powerful tool to accurately predict the inclusion population during secondary refining. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Ken Coley

Student:

Partner:

Stelco

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Elevate

Characterization and Modeling Inclusion Population during Secondary Steelmaking

The ultimate goal of this project is to develop a fundamental understanding of inclusion evolution during a particular refining process in secondary steelmaking unit. The particular focus is firstly on developing a detailed characterization of the inclusions formed during refining in the Stelco Ladle Metallurgy Facility, and secondly on adapting the existing McMaster ladle metallurgy/inclusion model for the Stelco facility. Ultimately this is expected to achieve better process and product control. Inclusions, depending on their size and type, may profoundly affect steel properties. Depending on their type and abundance they may have an equally profound effect on the process, for example nozzle clogging by inclusions, leads to interruptions of the casting process. For these reasons, the nature and quantity of inclusions formed is an important criterion of assessment for refining processes. It is crucial to understand and control the evolution of inclusions as a function of process conditions either to minimize the quantity or modify the type from deleterious to benign inclusions. Moreover, a comprehensive kinetic model that considers steel-slag reactions and steel-inclusion reactions is a powerful tool to accurately predict the inclusion population during secondary refining. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Ken Coley

Student:

Partner:

Stelco;McMaster University

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Elevate

Training the mind, to train the body

In this project, we will measure and increase brain activity theoretically related to motivation to test whether this neural correlate predicts exercise behaviour. In the first study we will test the validity of a text-message based intervention and demonstrate that it increases motivation-related brain activity. Following the in-lab pilot, Study 2 will provide neurofeedback training to directly manipulate and increase the same brain marker of motivation used in Study 1. Study 2 will also track exercise motivation intentions and self-reported patterns over a one-month period. Study 3 will conceptually combine Studies 1 and 2 by implementing the text-based intervention in the real world and tracking exercise adherence over 3 months (using GoodLife sign-in data).

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Faculty Supervisor:

Kyle Nash

Student:

Partner:

Goodlife Fitness

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

University of Alberta

Program:

Elevate

Accelerated Carbon Capture, Utilization and Storage in Mine Tailings

Reducing greenhouse gas (GHG) emissions to limit the impacts of climate change requires implementation of practical GHG-cutting technologies by industry. This research project will investigate carbon management and sequestration strategies for reducing GHG emissions in the mining industry with a focus on diamond mines including the Gahcho Kué mine in the Northwest Territories and Venetia mine in South Africa. The outcomes of this work will be employed by De Beers to implement carbon sequestration processes and improved mine waste management practices, which will improve environmental performance, reduce operational costs, and enhance their social license to operate. This research will make significant contributions in environmental sustainability and aid Canada’s transition to a low-carbon economy while training three postdoctoral fellows in carbon mineralization and tailings management.

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Faculty Supervisor:

Ian Power;Siobhan (Sasha) Wilson;Gregory Dipple;Gregory Dipple;Siobhan (Sasha) Wilson;Ian Power

Student:

Partner:

De Beers Canada Inc

Discipline:

Earth science

Sector:

Mining

University:

The University of British Columbia; Trent University; University of Alberta

Program:

Accelerate

Carbon Materials Production and Utilization

Developed advanced carbonaceous materials from processed biomass is of interest for integration into a variety of high performance applications including, plastics, rubbers, adsorbents, and chemicals. Origin Materials has a patented process that converts waste biomass into 5-chloromethlyfurfural (CMF), furfural and hydrothermal carbon (HTC) as a by-product. This research project will examine the high-quality HTC by-product and identify an economically feasible valorization pathway, as well as preparation and property evaluation of surfactants derived and the potential to use furan-based aldehydes (i.e. CMF) as wood adhesives.

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Faculty Supervisor:

Paul Charpentier;Jean Duhamel;Cedric Briens;Dominic Pjontek;Charles Chunbao Xu;Mario Gauthier

Student:

Partner:

Origin Materials

Discipline:

Engineering

Sector:

Agriculture

University:

University of Waterloo; Western University

Program:

Accelerate

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