Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Potential of solar thermal/PV generation for a district energy system and generating a community building electrical and thermal load profile.

This research investigates means for achieving net zero energy dwellings and neighborhoods through maximizing solar potential of dwelling units, isolated and in assemblages. This study will help the community planner to design an efficient layout to achieve maximum solar fraction. Optimum combine building loads in community will lead to a more energy efficient mechanical and electrical design and system. EnergyPlus, building simulation program will be used for estimating the response variables of energy solar potential and energy demand. Climatic, environmental and regulatory data employed in the simulations relate to northern regions and particularly to regions of Canada with similar climate to Toronto. While the specific results obtained are applicable to regions of similar climatic conditions, the methodology employed is generally applicable, and this forms the central focus of this study.

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Faculty Supervisor:

Alan Fung

Student:

Partner:

S2E Technologies Inc

Discipline:

Engineering

Sector:

Construction and infrastructure; Finance and Insurance; Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

Agricultural Restoration: Building Resilience for Turbulent Times

Restoring degraded land for food production is a major global challenge. The turbulent waves of extreme weather experienced across western North America over the past year continue to shake agricultural producers – farmers must contend with both extreme rainfall and drought while still maintaining financially and ecologically viable systems. This research project will determine the most financially viable agricultural methods for improving soil quality and carbon sequestration on a degraded former horseracing track. Multi-year field trials will be conducted at the Sandown Centre for Regenerative Agriculture on Tseycum traditional land in North Saanich, British Columbia and the results will be shared with the wider agricultural community.

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Faculty Supervisor:

John Volpe

Student:

Partner:

Sandown Centre for Regenerative Agriculture

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Victoria

Program:

Accelerate

Response of tidal marsh revegetation to novel sediment enhancement in the Fraser River Estuary, Canada

Tidal marshes are productive and economically important, providing valuable ecosystem services including disturbance regulation, waste treatment, and the ability to sequester carbon. Sturgeon Bank is a large tidal ecosystem that had a total tidal marsh area of 543 ha at its greatest extent this century. At least 160 ha of tidal marsh at Sturgeon Bank has died off between approximately 1989 and 2011. In addition to increased relative sea level and increased salinity, leading hypotheses as to causes of tidal marsh recession at the western delta front include sediment deficit and goose herbivory. The Sturgeon Bank Sediment Enhancement Pilot Project provides an opportunity to explore an innovative method for tidal marsh restoration. Dredged sediment will be added to the southwestern Sturgeon Bank mudflat over a two-year period, forming three 150 m long and 100 m wide mounds. This applied research project will explore the need to supplement sediment enhancement with tidal marsh revegetation, including the creation of goose exclosures and revegetation by planting bulrush plugs.

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Faculty Supervisor:

Eric Anderson

Student:

Partner:

Ducks Unlimited Canada (BC)

Discipline:

Earth science

Sector:

Finance and Insurance; Other services (except public administration); Professional, scientific and technical services

University:

British Columbia Institute of Technology

Program:

Accelerate

Contrastive Representation Learning on Temporal Point Process Data

The general goal of this project is to improve the downstream tasks by learning better
representations of the data, especially multimodal data pairs, like image/text pairs or user/item
interaction pairs. The user/item interaction data plays an important role in e-commerce, and
analyzing these data can help improve the banking system, e.g., recommendation, risk control, and
etc. The existing methods in this area mostly focusing on using deep neural networks, especially
graph neural network, to learn the connections and dependencies. Here, we want to leverage the
contrastive learning methods into this field, as it shows great power in learning image/text data
pairs representation and expect the learned representations to have better zero-shot performance
at prediction tasks, such as predict the future events.

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Faculty Supervisor:

Arvind Gupta

Student:

Partner:

Layer 6 AI

Discipline:

Computer science

Sector:

Information and Communications Technology

University:

University of Toronto

Program:

Accelerate

Valorisation des fibres naturelles dans l’élaboration des matériaux de construction à faible empreinte écologique.

Notre projet de recherche consiste à développer des bétons d’isolations à partir des fibres de jute recyclées. Il faut savoir que les fibres utilisées sont issues du recyclage des poches de jute. Après leurs utilisations, les poches de jute sont jetées dans la nature et considérées comme déchets. Ainsi, les poches de jute sont récupérées, par la suite, les fibres de jute recyclées sont extraites grâce à un procédé de défibrage. Ces fibres sont par la suite mélangées avec de la chaux et/ou du ciment pour l’obtention d’un matériau composite (béton d’isolation) économique et écologique. Une fois le béton formulé, ces performances hygrothermiques et mécaniques sont évaluées.

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Faculty Supervisor:

Ammar Yahia;Rafik Belarbi

Student:

Partner:

CIMMS

Discipline:

Engineering

Sector:

Construction; Sustainability & the Environment

University:

Université de Sherbrooke

Program:

Accelerate

Securing an IIoT SaaS platform using blockchain and machine learning methods

Industrial Internet of Things (IIoT) is a scalable platform that integrates devices over the internet and runs different services such as energy and facility management easier than SCADA and similar industrial control systems (ICS). These platforms shall be designed securely and manage devices in a safe environment. However, existing IIoT platforms are not secure by design. Edgecom Energy has developed an IIoT platform based on blockchain technology to address security concerns. This project wilk further improve the security of this IIoT platform at the levels of Operational Technology using blockchain and machine learning methods.

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Faculty Supervisor:

Daniel Amyot;John Mylopoulos

Student:

Partner:

Edgecom Energy

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

Land use implication of developing renewable energy resources: A case study of Atlantic Canada

The path to reaching net-zero emissions by 2050 in Atlantic Canada is both time- and resource-constrained. Energy system models can be used in this context to compare climate change mitigation options and to strategically plan for meeting climate change goals through cost-effective and timely means. Motivated by these circumstances, Net Zero Atlantic is building an open-source energy system model for Atlantic Canada that will serve as a shared tool for answering questions about the future of our region’s energy system. To provide the best utility to regional decision-makers, the Atlantic Canada Energy System (ACES) model must be able to demonstrate energy system solutions that are feasible given the types and characteristics of the resources available in Atlantic Canada. A critical dimension of resource development, land use, is currently not accounted for in the optimization decisions made by the ACES model, which is consistent with the configuration of most capacity expansion energy system models. The lack of land use tracking within the ACES model and other similar models is concerning given the significant land use requirements associated with renewable energy development that have been well established within literature.

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Faculty Supervisor:

Taco Niet

Student:

Partner:

Net Zero Atlantic

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Geometry Projection Based 3D Object Detection

Unmanned aerial vehicles (UAV) have been deployed in many real-world applications such as payload delivery, agricultural laboring, and aerial photography. Based on GPS-based localization algorithms, these drones have achieved many advancements in industry automation. However, since common GPS receivers do not work indoors, an accurate computer vision (CV) technique is required to resolve the problem in indoor-UAV localization and navigation. In this research project, we aim to address the problem of 3D object detection, tracking and analysis of indoor UAV by deploying a deep-learning-based CV algorithm. The success of this project will support the development of indoor UAV navigation and task-related operation. Also, the study in this field will expand the application in computer vision and boost the full automation in warehouse inventory management.

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Faculty Supervisor:

Igor Gilitschenski;Babak Taati;Steven Waslander

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Functionalized acene active layers for organic and hybrid optoelectronic devices

Organic electronics uses organic molecules with tailored structures and properties in electronic devices such as light emitting diodes, solar cells and transistors. This project seeks to synthesize new organic molecules from the acene family capable of behaving as semiconductors and capable of being electronically linked to metal oxide surfaces. The Shankar Lab seeks to investigate the electronic properties of these new molecules and research their use in hybrid electronic devices involving other coinage metals and other organic/inorganic semiconductors. The partner organization currently supplies molecules from the acene family to customers in the United States for use in 3D printing, coloration and biomedical applications. The synthesis of new functionalized acene molecules will enable the partner organization to expand its suite of product offerings and target new customers. By suitably training the incoming postdoctoral fellow, the industrial partner aims to increase the volume of product sold to increase revenue for the company.

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Faculty Supervisor:

Karthik Shankar

Student:

Partner:

HAARES ChemTech Inc.

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

SOTI SNAP – Fully Automated App to PDF Generation Utility

Businesses today struggle with manual operations such as paper-based processes and copying and pasting information from one system to another. These manual operations are costing companies hours of unnecessary labour, which trickles down to customers that are expecting on demand services. SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge required. One challenge faced by customers is a lack in being able to generate an invoice as a PDF document that contains the data collected by a SOTI SNAP application and send it to a printer. The goal of this project is to design and prototype the complete user experience to allow SNAP developers to create and manage PDF templates and allow them to autogenerate the code to select and populate templates with SNAP data via SOTI’s proprietary WYSIWYG application development environment.

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Faculty Supervisor:

Daniel Wigdor

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Development of laser beam welded aluminum drill pipe for drilling applications

For the joining of different materials, various processes are available in the industry such as riveting, shrink fitting or welding. Welding is the preferred joining method especially for high temperature and high-pressure applications such as pressure vessels and aircraft structures. In recent times, the number of potential applications and usage of welding is also increasing and at present around 3 million skilled persons are directly exposed to the harmful emissions of welding, globally. As compared to the conventional arc welding processes, the laser-based welding method are less likely to produce toxic fumes primarily because of the absence of the plasma arc and secondly because of the low heat input required to achieve the same penetration depth. Laser welding is specifically preferred in drilling technology as it enhances not only equipment health but also drilling tubes (Aluminium alloys in this case) integrity on land, at sea, and in the underground.

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Faculty Supervisor:

Noureddine Barka

Student:

Partner:

Caron Technologies International Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

Université du Québec à Rimouski

Program:

Accelerate

Efficiency improvement and up-scaling of perovskite photovoltaics for indoor and outdoor applications

The project involves the investigation of perovskite solar cells fabrication for indoor and outdoor applications based on a method that can be used for industrial production.
The intern will first study the optimization of perovskite solar cells by choosing the appropriate hole transport layer for the device stack provided by Rayleigh. This device architecture can be suitable for many outdoor applications. Then, the intern will optimize the wide-bandgap absorber layer to be used in photovoltaic cells for indoor applications. Afterwards. the intern will upscale the optimized recipes using large-area coating techniques.
Rayleigh Solar Tech Inc. will benefit from this project as it will accelerate the commercialization of perovskite solar cells. Once the scalable process is deemed suitable, manufacturing trials can begin

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Faculty Supervisor:

Vincenzo Pecunia

Student:

Partner:

Rayleigh Solar Tech

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

Simon Fraser University

Program:

Accelerate

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