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

Nano-engineered concrete and composites with advanced graphene-based 2D nanomaterials

The development of high performance and durable concrete material is extensively required in the present world to build resilient and sustainable infrastructure. This project will open the prospects for developing a high performing advanced concrete composite engineered with graphene-based nanomaterials. Graphene is a nanomaterial typically produces from graphite, with extraordinary strength and chemical properties. The partner organization in this project is ZEN Graphene Solutions Ltd., the owner of a large high-quality graphite mineral in Thunder Bay, Ontario, Canada. The use of graphene in concrete is expected to mitigate different limitations of concrete and increase its strength and durability performances. ZEN will be benefited from the knowledge and technology development on the suitable forms of graphene materials required for high performance and durable concrete materials production. This high-performance concrete application is highly desirable in the Canadian infrastructure development industry.

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Faculty Supervisor:

Daman Panesar

Student:

Partner:

ZEN Graphene

Discipline:

Engineering

Sector:

Manufacturing; Mining

University:

University of Toronto

Program:

Accelerate

An integrated watershed-lake framework for water quality assessment in Toronto Harbour and Region Waterfront – Year two

This project aims to develop an integrated watershed-lake framework for Don River watershed draining into the Toronto Harbour to assess the best management practices towards improving the water quality in Toronto and Region Area of Concern (AOC). The framework will evaluate the impacts of suspended solids and bioavailable nutrients delivered by surface runoff and lake upwelling events on Toronto Harbour water quality, and their subsequent effects on eutrophication and growth of undesirable algae. The proposed modelling framework consists of four main modules: the Don River watershed model, the .ne-dimensional water/sediment routing model for the Don River, a three-dimensional hydrodynamic-water quality model for the Toronto Harbour, and a Bayesian-inference risk assessment module. The development of this serial-model ensemble will also facilitate the simulation of other spill events (e.g., Escherichia coli bacteria release due to sanitary and combined sewer overflows, oil spills, bird droppings), thereby serving as a comprehensive management tool for policy analysis. Hence, the proposed research can benefit the local management practices to more rigorously assess the exceedance probability and confidence of compliance with different water quality standards.

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Faculty Supervisor:

George Arhonditsis

Student:

Partner:

AEML Associates Ltd

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Elevate

An integrated watershed-lake framework for water quality assessment in Toronto Harbour and Region Waterfront

This project aims to develop an integrated watershed-lake framework for Don River watershed draining into the Toronto Harbour to assess the best management practices towards improving the water quality in Toronto and Region Area of Concern (AOC). The framework will evaluate the impacts of suspended solids and bioavailable nutrients delivered by surface runoff and lake upwelling events on Toronto Harbour water quality, and their subsequent effects on eutrophication and growth of undesirable algae. The proposed modelling framework consists of four main modules: the Don River watershed model, the .ne-dimensional water/sediment routing model for the Don River, a three-dimensional hydrodynamic-water quality model for the Toronto Harbour, and a Bayesian-inference risk assessment module. The development of this serial-model ensemble will also facilitate the simulation of other spill events (e.g., Escherichia coli bacteria release due to sanitary and combined sewer overflows, oil spills, bird droppings), thereby serving as a comprehensive management tool for policy analysis. Hence, the proposed research can benefit the local management practices to more rigorously assess the exceedance probability and confidence of compliance with different water quality standards.

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Faculty Supervisor:

George Arhonditsis

Student:

Partner:

AEML Associates Ltd

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Elevate

Data collection to support an oyster aquaculture development area

The Nova Scotia Municipality of Argyle is exploring the potential of establishing the province’s first shellfish Aquaculture Development Area (ADA) in Lobster Bay. If an ADA is approved, individual site and lease applications benefit from an expedited licensing process. Spatial marine planning is required for ADA approval and must consider oceanographic data, ecological data, and stakeholder interests. Data that exist are often housed in multiple platforms. Extensive collection, consolidation and assessment is required to identify data gaps. This initial data identification and assessment effort is not trivial, and crucial to guide additional field sampling efforts needed for spatial planning. Consequently, this initial project phase is well suited for a student intern, who will gain valuable marine spatial planning and shellfish aquaculture experience. In turn, the intern will provide a valuable service for the Centre of Marine Applied Research by helping CMAR’s mandate of furthering sustainable aquaculture development as a point contact for scientific collaboration with Dalhousie University and the Municipality of Argyle.

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Faculty Supervisor:

Ramon Filgueira

Student:

Partner:

Perennia Food and Agriculture Inc

Discipline:

Life Sciences

Sector:

Agriculture; Information and cultural industries

University:

Dalhousie University

Program:

Accelerate

A participatory approach to redeveloping coach and volunteer online training modules: A Special Olympics context – Year two

“On-going coach and volunteer training are essential to providing high-quality, evidence-informed practices in sport settings. This study aims to extend Special Olympics Ontario and Special Olympics Canada’s online training platform for coaches and volunteers by working with athletes with intellectual disabilities, current Special Olympics coaches, and families of Special Olympics athletes. An iterative process will be used to understand how to best deliver and engage online users with the content, and how to adapt the knowledge to contexts across Canada, socioeconomic status, ages, abilities, genders, facilities, and other variable factors. The objective is to develop a working, sustainable online training platform for Special Olympics Ontario with later implementation to Special Olympics Canada, for all coach and volunteer training. As the researcher, this project will inform theory, practice, and knowledge translation gaps that currently exist in the field of disability and sport.”

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Faculty Supervisor:

Ann Fudge Schormans

Student:

Partner:

Special Olympics Ontario

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

McMaster University

Program:

Elevate

A participatory approach to redeveloping coach and volunteer online training modules: A Special Olympics context

“On-going coach and volunteer training are essential to providing high-quality, evidence-informed practices in sport settings. This study aims to extend Special Olympics Ontario and Special Olympics Canada’s online training platform for coaches and volunteers by working with athletes with intellectual disabilities, current Special Olympics coaches, and families of Special Olympics athletes. An iterative process will be used to understand how to best deliver and engage online users with the content, and how to adapt the knowledge to contexts across Canada, socioeconomic status, ages, abilities, genders, facilities, and other variable factors. The objective is to develop a working, sustainable online training platform for Special Olympics Ontario with later implementation to Special Olympics Canada, for all coach and volunteer training. As the researcher, this project will inform theory, practice, and knowledge translation gaps that currently exist in the field of disability and sport.”

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Faculty Supervisor:

Ann Fudge Schormans

Student:

Partner:

Special Olympics Ontario

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

McMaster University

Program:

Elevate

Reliability evaluation of strain-based design for pipelines using probabilistic demand/capacity models. – Year two

Ground movement can impose excessive deformation violating pertinent pipeline limit states. Currently, the integrity assessment of pipelines subjected to soil movement is generally performed by analyzing the stresses and/or strains in pipelines using various engineering techniques, including finite element analysis (FEA). However, given the wide variability of the pipe and soil engineering properties, using deterministic approaches alone may be inadequate. The desired approach is a semi-probability-based approach using safety factors or a full-probability-based approach, specified in Annex C and Annex O of CSA Z662:2019, respectively. However, probabilistic demand or capacity models are required but missing in Annex C because of the lack of mature and established models for calculating the strain capacity and the demand due to the site-specific nature of ground movement. The objective of this project is to develop probabilistic strain demand and capacity models for reliability analysis of pipelines subjected to geotechnical loads by leveraging FEA and quantitative reliability methods. The results obtained using these desired approaches will be compared. The deliverables of this project will not only help industries, such as Northern Crescent, to improve the pipeline integrity assessment programs with better efficiency and safety but also be useful to update the design codes (CSA Z662).

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Faculty Supervisor:

Yong Li;Samer Adeeb

Student:

Partner:

Northern Crescent

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Elevate

Reliability evaluation of strain-based design for pipelines using probabilistic demand/capacity models

Ground movement can impose excessive deformation violating pertinent pipeline limit states. Currently, the integrity assessment of pipelines subjected to soil movement is generally performed by analyzing the stresses and/or strains in pipelines using various engineering techniques, including finite element analysis (FEA). However, given the wide variability of the pipe and soil engineering properties, using deterministic approaches alone may be inadequate. The desired approach is a semi-probability-based approach using safety factors or a full-probability-based approach, specified in Annex C and Annex O of CSA Z662:2019, respectively. However, probabilistic demand or capacity models are required but missing in Annex C because of the lack of mature and established models for calculating the strain capacity and the demand due to the site-specific nature of ground movement. The objective of this project is to develop probabilistic strain demand and capacity models for reliability analysis of pipelines subjected to geotechnical loads by leveraging FEA and quantitative reliability methods. The results obtained using these desired approaches will be compared. The deliverables of this project will not only help industries, such as Northern Crescent, to improve the pipeline integrity assessment programs with better efficiency and safety but also be useful to update the design codes (CSA Z662).

View Full Project Description
Faculty Supervisor:

Yong Li;Samer Adeeb

Student:

Partner:

Northern Crescent

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Elevate

Constrained dynamic pricing for airport parking reservations

To make best use of technology on available big data (e.g., airport parking reservation data), we design and develop an innovative big data science solution for constrained dynamic pricing for airport parking reservations in the proposed research project undertaken by the intern. From scientific point of view, such a solution is novel in the sense that it will be capable of achieving multiple objectives (e.g., maximize revenue and other objectives) and solving the constrained dynamic pricing problem (in which price is constrained or bounded by some user-specified threshold). Moreover, it will be efficient in integrating big data from a wide variety of heterogeneous sources, as well as analyzing and learning data to make appropriate recommendation on prices. From the business/industrial point of view, such a solution will be beneficial to the partner organization by helping them to get an insight and better understanding of their data and enable it to further enhance its operation. To a further extent, the solution will be applicable and beneficial to other Canadian airports and/or parking facilities in other Canadian communities.

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Faculty Supervisor:

Carson Leung

Student:

Partner:

Winnipeg Airports Authority

Discipline:

Computer science

Sector:

Transportation and warehousing

University:

University of Manitoba

Program:

Accelerate

Modeling of Blending of Newtonian Fluids using Bespoke Static Mixer Geometry

Static mixers are metal structures inserted into pipes to enhance the mixing of fluids flows. Different mixer designs cause different levels of mixing for a given energy loss. An ongoing and promising project is the invention of a new mixer geometry that is more efficient than anything on the market. Experimental testing uses the PLIF technique to quantify the mixing efficiency of mixers. It works by illuminating a fluorescent dye in a fluid at the outlet of a static mixer to generate a cross-sectional image of the flow. Yet, repeated fabrication of mixers with minute variation is expensive in both materials and the single-use test fluid. The goal is to validate the use of CFD to simulate the experiments in a computer and match these models to the real-world experiments. If successful, a computer will test 10s of prototypes in the time it takes to fabricate and run one real experiment. This will save time, material cost and reduce environmental impact from fluid wastage.

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Faculty Supervisor:

Alexandra Komrakova

Student:

Partner:

University of Birmingham

Discipline:

Engineering

Sector:

Oil and Gas; Agriculture and Food; Pharmaceuticals

University:

University of Alberta

Program:

Globalink Research Award

Investigating Communication Patterns for Improving Teamwork in Digital Games

Competitive team-based digital games like League of Legends, Overwatch and Dota 2 are increasingly popular. These games require intense teamwork but achieving good teamwork is challenging because teams typically comprise of strangers who need to learn to work together in an extremely short amount of time. The match outcome depends on how quickly teams develop effective teamwork. Therefore, the aim of this project is to understand how effective teamwork can be facilitated. This project will focus on the role of team communication, which has been linked to several positive team outcomes. Communication is important because it is the mechanism that underlies collaboration and coordination. This project will investigate the exact mechanisms through which communication facilitates teamwork in this domain. Based on the literature, we expect to find differences in performance based on the communication patterns of the team. These findings would provide deeper insight into the underpinnings of effective teamwork.

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Faculty Supervisor:

Lennart Nacke

Student:

Partner:

University of York

Discipline:

Computer science

Sector:

Technology; New and Digital Media

University:

University of Waterloo

Program:

Globalink Research Award

Digital Fabrication and Design using Ultra-High Performance Concrete

3D concrete printing and the digital design processes associated with this technology are developing quickly across the world, both in academia and in practice, moving from the realm of the artisan to the early stages of automated manufacturing.
How do architects engage this emerging new field that combines fabrication technologies with material in their design processes? Emerging use of ultra-high-performance concrete (UHPC) creates designs without steel reinforcing in thinner structures by using fine sand and integrated fibre reinforcements. By combining this advanced concrete mixture with 3D printing technologies, this research looks to engage how the digital design and fabrication knowledge and processes in architecture will inform not only what our structures of the future are like, but how they are made in a continuous process of design thinking in a series of prototype structures and hands-on experiments.

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Faculty Supervisor:

Sheryl Boyle

Student:

Partner:

Canadian Precast/Prestressed Concrete Institute

Discipline:

Engineering

Sector:

Advanced Manufacturing; Construction; Sustainability & the Environment

University:

Carleton University

Program:

Accelerate

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