Innovative Projects 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

Quantum dots labelling technology to assess polysaccharides disposition profile and innate immune function

In the past decade, sales of several natural health products (NHPs), including Canadian grown American ginseng, have seen an unprecedented spike due to their wide health benefits. One of the key bioactive constituents in ginseng is polysaccharide(s) (PS) known to significantly boost the immune system by modulating a host of immune cells. Unfortunately, there is no specific analytical tools at present to elucidate their disposition and pharmacology. We have been successful in synthesizing and characterizing Ginseng-PS conjugated to carbon dot. This proposal will focus on extending our study to the Ginseng-PS, lipopolysaccharides (LPS), and non-pathogenic bacteria with silicon quantum (Si QDs). The labelled G-PS will provide more understanding of their disposition in biological system as well as their interaction with therapeutic targets. This will enable the refinement of design of novel polysaccharide-based immunomodulation nutraceuticals, such as PS nanoparticles, and provide scientific and clinically relevant evidence to support their health claims.

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Faculty Supervisor:

Baoling Chen

Student:

Mohammed Abdelhameed

Partner:

Western Phytoceutica Inc.

Discipline:

Other

Sector:

University:

Lambton College

Program:

Accelerate

Progressive Cybernetics Decentralized Autonomous Organization (PCDAO)

Digitization of assets is becoming a dominant form of business operations today; the Internet of Things and increased connectedness to consumers and citizens alike is creating a decentralized virtual marketplace for digital services and assets. The potential for sharing technology assets is high due to digitization (the new way of referring to digital transformation). Principles being applied in the general industry are now being adopted by civic and academic entities as a means of interacting directly with citizens, businesses and start-ups alike, fostering innovation and acceleration to market and commercialize digital assets. This opportunity is to research the potential of a Decentralized Autonomous Organizations (DAO) to facilitate crowdsourcing, pooling of objectives and resources based on shared desires across multi-disciplinary industries including civic, distance education and academic programs.

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Faculty Supervisor:

Qing Tan;Klimis Ntalianis

Student:

Mickael Yusufidis

Partner:

Redlizard Studioz

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Athabasca University

Program:

Accelerate

UPnGO with ParticipACTION: Evaluating the evolution of a national workplace physical activity initiative – Part 2

In order to improve the health and work productivity of Canadians, ParticipACTION developed a rewards-based, PA tracking intervention called UPnGO with ParticipACTION. The UPnGO program aims to increase the amount of PA and decrease the amount of sedentary activities throughout the workday. This program was released to the public in Fall of 2017, however, program participation hasn’t been as successful as we would like, and participants are not getting the PA benefits the program is designed to achieve. We are working to redesign the program to address these issues. Following which, we will be evaluating and assessing the success of the new version of the UPnGO program to improve the health and work productivity of Canadian workers.

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Faculty Supervisor:

Guy Faulkner

Student:

Kathleen (Katie) Di Sebastiano

Partner:

ParticipACTION

Discipline:

Kinesiology

Sector:

University:

University of British Columbia

Program:

Accelerate

Multi-agent reinforcement learning for distributed edge caching

There is an exponential increase in the network traffic worldwide due to the growth of social networks, multimedia sharing web services, streaming of video-on-demand (VoD) contents. However, the bandwidth isn’t growing at the same rate as the demand, resulting in a loss of Quality of Service (QoS) and Quality of Experience (QoE) for the users. Distributed edge caching provides an effective mechanism for mitigating the bandwidth requirements of the growing traffic demands by trading off bandwidth with storage. Storage owners (such as Ericsson) can leverage edge caching techniques to replicate the most popular content closer to the network edge rather than storing it in a central location to reduce the load at the core network, reduce performance bottlenecks, and provide differentiated services to end users of Content Providers (CPs).

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Faculty Supervisor:

Aditya Mahajan

Student:

Anirudha Jitani

Partner:

Ericsson Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

McGill University

Program:

Accelerate

Fabrication of Graphene Oxide/Polyurethane Nanocomposite Foams Featuring Enhanced Mechanical, Thermal, and Electrical Properties

Polyurethane is a class of polymers with the potential of foaming and with excellent mechanical and thermal properties. However, in order to use PU in advanced applications, its physical properties must be improved. Accordingly, in this research proposal, we plan to incorporate graphene oxide (GO), a derivative of graphene, into polyurethane foam to improve its physical properties. GO is a monolayer of carbon atoms hexagonally attached to each other with some oxygen bonding across the carbon nanostructure. This nanomaterial features outstanding physical properties, and incorporation of a very small amount of GO into polyurethane can improve its physical properties drastically.
Our industry partner, ZEN Graphene Solutions Ltd. (“ZEN”), has discovered a large and very rare igneous-related graphite deposit in Northern Ontario called the Albany Graphite Deposit [www.zengraphene.com]. This research project aims to develop the synthesis technology of GO from the as-receive ZEN’s graphite via a chemical method. The fabricated GO will be incorporated into generated polyurethane to make GO/polyurethane nanocomposites foam. These nanocomposite foams are expected to be used in various part of cars, such car hood, produced by ZEN’s automotive industry partner.

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Faculty Supervisor:

Mohammad Arjmand

Student:

Seyyedarash Haddadi

Partner:

ZEN Graphene Solutions Ltd

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

Program:

Accelerate

Printability of H13 tool steel by powder-fed laser additive manufacturing

The scope of this research is to provide a comprehensive recipe for powder-fed laser additive manufacturing (PF-LAM) of H13 tool steel. The H13 components manufactured by PF-LAM can potentially show superior mechanical properties as compared to H13 steel manufactured by conventional methods; however, the process optimization is requisite to achieve the additively manufactured H13 tool steel with satisfactory properties. The process is optimized to acquire the printed parts with minimum defects. This process is capable of remanufacturing and repair of worn and damaged dies sets, offering a complete overhaul with good mechanical properties. The partner organization is benefited from the recipe to tailor the printed parts properties to the industry needs.

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Faculty Supervisor:

Ehsan Toyserkani

Student:

Mohammad Ansari

Partner:

Promation

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Optimized Design of Building-Integrated Photovoltaic Sunshades

The proposed project involves the creation of a computational framework to optimize the design of building integrated photovoltaic sunshades. Such shades would allow improved lighting conditions within the indoor environment, while generating power through the photovoltaic panels. The design framework takes in design constraints such as the allowable size of the shade, the location and orientation of the building, and properties of the photovoltaics of interest, and provides the user with a design maximizing power generation, while providing improved daylighting conditions within the building, both spatially and temporally, and reducing cooling loads. Following the model development, a case study on a specific implementation of such a solar shade will be prototyped. The research will be a collaboration between an academic group, a PV supplier, and an architectural firm, including structural and electrical engineers, to implement the design soluti

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Faculty Supervisor:

Eric Johlin

Student:

Seyedsoroush Sadatifar

Partner:

Cornerstone Architecture

Discipline:

Engineering - mechanical

Sector:

Construction and infrastructure

University:

Western University

Program:

Accelerate

Identifying probiotics that modulate mitophagy in models of mitochondrial dysfunction

Mitochondria are critical producers of energy and are the platform for various metabolic reactions that support cellular health. Mitochondria suffer from a variety of damage as a consequence of housing these reactive pathways. In order for cells and organisms to survive this damage, dysfunctional mitochondria are removed from the cell in a process termed mitophagy. The goal of this proposal is to identify probiotics that enhance mitophagy, thereby serving as ideal promoters of health by preserving mitochondrial, cellular and organismal function.

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Faculty Supervisor:

Angus McQuibban

Student:

Peter Hawrysh

Partner:

Lallemand Health Solutions

Discipline:

Biochemistry / Molecular biology

Sector:

Life sciences

University:

University of Toronto

Program:

Accelerate

Developing octenyl succinic maltodextrins as replacements for per- and polyfluoroalkyl substances in molded fiber bowls

In this Mitacs proposal, the Carbohydrate Chemistry and Utilization Program at the University of Saskatchewan (Usask) aims to collaborate with a leading producer of compostable molded fiber bowls ? SustainaPulp Canada Inc. ? to develop replacements for per- and polyfluoroalkyl substances (PFASs) in their products. The alternatives will be prepared from maltodextrins, a common food ingredient that is generated from starch. The maltodextrin-based replacements will be produced at the Usask, and their performance in molded fiber bowls will be assessed by the partner organization. It is the goal of the research team to develop safe, bio-degradable and sustainable materials that can be used in molded fiber bowls for serving hot, wet, greasy and healthy foods to consumers.

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Faculty Supervisor:

Yongfeng Ai

Student:

Dongxing Li

Partner:

SustainaPulp Canada Inc

Discipline:

Food science

Sector:

Pulp and paper

University:

University of Saskatchewan

Program:

Accelerate

Modelling spatial variability of rock mass structural heterogeneity for pit slope stability analysis using a large-scale discrete fracture network (DFN) model

Improving the design and operation of open pit mines by better understanding and modeling of spatial variation of rock mass properties, can bring economic benefits to the mining industry. The proposed research project aims to develop an innovative large-scale discrete fracture network (DFN) model that is spatially constrained based on the recorded fracture data from geotechnical boreholes and photogrammetric mapping of bench face exposures in an open pit mine in Western Africa. The model allows 3D description of the natural fracture geometries and their spatial variation in different areas of the pit. The developed DFN model will be used for kinematic slope stability analysis of the pit slopes in bench and inter-ramp scales. The modeling results will be compared with the pit wall monitoring d

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Faculty Supervisor:

Kamran Esmaeili

Student:

Yilin Zhao

Partner:

Kinross Gold

Discipline:

Resources and environmental management

Sector:

Mining and quarrying

University:

University of Toronto

Program:

Accelerate

Improving Operational Resource Efficiencies through the Application of Model-Based Reinforcement Learning (MBRL)

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and society, perhaps more so than any other area of machine learning. Model-based Reinforcement Learning (MBRL) is a promising approach to design sample-efficient agents for problems where the number of interactions with the real-world cannot be very large. The goal of this project is to study the feasibility of the MBRL algorithms to solve industrial problems with the help of the project industrial partner. Specifically, the project aims to help industrial participant’s with to meet targets for carbon footprint reduction by applying MBRL approach to the operational processes of concern. A primary industrial application that the project will work on is optimization of the logistics network by routing trucks efficiently to reduce fuel consumption and CO2 emissions.

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Faculty Supervisor:

Amir-massoud Farahmand

Student:

Romina Abachi

Partner:

Linamar

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Machine Learning in Business Valuation Using Merger and Acquisition Data

Business valuation deals with the estimation of a company’s value, using information from markets and the company’s financial statements. Such valuation is important when assessing mergers and acquisitions (M&A) of companies or the sale of an owner’s share in a business. Three different approaches are commonly used for business valuation: the income approach (estimating future income), the asset-based approach (valuating the current assets), and the market approach (comparing with similar businesses). The proposed project aims to extend the market approach by developing and applying modern computer science and statistical techniques to business valuation. As part of this project, the intern will develop a statistical method for business valuation, using available M&A transaction data. The partner organization will benefit from a more efficient process of business valuation as well as more precise valuation outcomes.

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Faculty Supervisor:

Christoph Frei

Student:

Qianhong Huang

Partner:

Vario Ventures

Discipline:

Statistics / Actuarial sciences

Sector:

University:

University of Alberta

Program:

Accelerate

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