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

Using adaptive management to reduce fishing pressure on Golden Cod near the Gilbert Bay Marine Protected Area (MPA)

Despite protection measures, the Golden cod sub-population in the Gilbert Bay Marine Protected Area is experiencing steep decline. Given the regulatory complexity and reluctance of industry to consider a split or delayed season for surrounding fisheries, partners aim to create an alternative solution to balance economic fishing interests with conservation objectives. The goal of this project is to explore the nature and extent of ghost gear fishing/by-catch within the North Atlantic Fishing Organization Div. 2J stewardship fishery while WWF-Canada works closely with the NunatuKavut Community Council and University partners. Specific activities may include monitoring alternative fishing gears, characterizing the nature and extend of ghost gear, identify and retrieve existing ghost gear, and investigating options for local end-of-life gear options while exploring issues with the current state of affairs, and how management/policy may be improved.

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Faculty Supervisor:

Paul Foley;Shannon Bayse

Student:

Partner:

World Wildlife Fund (St. John's, NL)

Discipline:

Life Sciences

Sector:

Agriculture; Other services (except public administration)

University:

Memorial University of Newfoundland

Program:

Accelerate

Demand estimation in consumer-packaged goods market using BLP method

Leveraging the entirety of point of sale and loyalty data collected across a category, as well as additional socio-economic and other supporting data sources, apply statistical modelling to identify the own-price elasticity of demand and cross-price elasticity of demand at regular and promoted price points across Unilever’s portfolio within that category. Subsequently measuring the promotional cannibalization of Unilever’s temporary price reduction activities across the market to assess the promotional events with the highest return on investment and revenue optimization potential.

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Faculty Supervisor:

Ricardas Zitikis

Student:

Partner:

Unilever Canada Inc

Discipline:

Mathematics

Sector:

Manufacturing; Wholesale trade

University:

The University of Western Ontario

Program:

Accelerate

Développement et intégration d’une filière régionale de recyclagede piles

La collecte et le tri des batteries usées dans la province de Québec sont réalisés par l’entreprise Société Laurentide. Après triage, les batteries sont envoyées pour leur transformation à l’ouest canadien ou aux États-Unis. Afin de faire leur recyclage au Québec, diminuant l’émission des gaz à effet de serre dû à leur transport, Laurentide souhaite mettre en opération une usine de transformation de piles alcalines. Également, Laurentide et Nemaska prévoient créer une synergie industrielle qui les permet d’exploiter le gisement de lithium des batteries usagées, d’une coté Laurentide extrayant et séparant le lithium et de l’autre côté Nemaska purifiant et transformant ce métal en matière première pour la production de batteries au lithium contenant de matériel recyclé. Cette collaboration servira à l’établissement d’une filière énergétique de haute technologie et à la consolidation de la capacité régionale de R&D et d’innovation ; facteurs déterminants pour l’attraction d’autres entreprises dans la région.

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Faculty Supervisor:

Michèle Heitz;Jacques Huot

Student:

Partner:

Centre national en électrochimie et en technologies environnementales;Société Laurentide Inc;Nemaska Lithium

Discipline:

Engineering

Sector:

Clean Technology; Green/Alternative Energy; Sustainability & the Environment

University:

Université de Montréal; Université de Sherbrooke; Université du Québec à Trois-Rivières

Program:

Accelerate

Algorithmic and Interface Advances in Computer Algebra

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge them with more and more complex tasks. It is necessary, therefore, that the core engines of CAS implement state-of-the-art algorithms. At the same time, CAS need to build new bridges to specialized software and to develop interfaces to emerging research areas. This proposal capitalizes on the research conducted by academic partners at the University of Western Ontario in order to strengthen and extend the technology of their industrial partner, Maplesoft, the developers of Maple, one of the leading CAS world-wide.

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Faculty Supervisor:

Marc Moreno Maza;Robert Corless;David Jeffrey;Gregory Reid

Student:

Partner:

Maplesoft

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of Western Ontario; Western University

Program:

Accelerate

Machine-learning-based posture identification from dynamic seat sensors

Sitting for long periods of time has negative health effects that could be solved by changing posture throughout the day. The solution lies in the use of sit-stand desks, active seats, and automated reminders to change position. For this purpose, this project focuses on developing software that can intelligently determine a person’s posture using sensors located in a dynamic seat. Data will be collected from people using the Formid Dynamic Seat, which will then be used to develop and test machine learning algorithms. The results will benefit the industry partner in that they will be able to incorporate the resulting software into a mobile app that can let the person know that they need to move.

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Faculty Supervisor:

Ana Luisa Trejos

Student:

Partner:

Formid

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of Western Ontario; Western University

Program:

Accelerate

Engineered genetic traceability solution for commercerical ale yeasts and methodology for rapid dectection and identification of diastatic yeast contamination in beer fermentation

This project will demonstrate that one or more unique DNA ID sequences (“DUID”) can be inserted into the genomes of select strains of Saccharomyces cerevisiae ale yeast and S. cerevisiae var diastaticus yeast strains without affecting the heritable traits of the host and then the DUID can be recalled upstream in the brewing process. By demonstrating the utility of the DUID for batch-level rapid detection and identification to address existing commercial challenges experienced by beer producers, we will use the data collected to expand our offering into other food system organisms (e.g. Romaine lettuce, grains, etc.). Furthermore, the results of this project will be leveraged for other use cases e.g. Introduction of trace amounts in animal feed to provide genetic traceability. The data acquired from this trial will allow for the identification of process efficiencies and design of our digital infrastructure in preparation for commercialization.

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Faculty Supervisor:

George van der Merwe

Student:

Partner:

Index Biosystems Inc.;Escarpment Laboratories Inc.

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Effect of mixture proportions and constituents on the material and structural performance of ECC link slabs

Concrete bridge decks have joints, which are created because of the method used to build a bridge structure. These joints allow water and other deleterious materials to pass through the bridge deck corroding the deck and the supporting girders. Link slabs are provided to conceal these joints. A link slab is a thin slab made of special concrete called ECC. The main ingredient of ECC is fly ash which comes from coal-fired thermal plants. These plants emit a large amount of pollutants. Hence, Canada and many other countries have decided to decommission all coal-fired plants. Ontario has already decommissioned its last coal-fired thermal plant in 2014. This has created an acute shortage of fly ash. In the near future, fly ash will not be available. Hence, this Mitacs research project will develop ECC using alternative materials such as slag and GCC which are and will be readily available.

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Faculty Supervisor:

Sreekanta Das

Student:

Partner:

Facca Incorporated

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Windsor

Program:

Accelerate

Teacher Assessment Using New Technologies

Educational reform will require changing the way we assess for student success. Personalized
learning will only become a reality as we transform the way we make meaning of teaching and
learning through assessment This industry partner FreshGrade.com is an educational assessment
application for elementary education (Kindergarten – Grade 6) addressing the need for a simple,
cloud-based solution to help teachers, students, and parents make sense of learning. Tailored for
classrooms of young learners, FreshGrade.com facilitates the meaningful and varied collection of rich
evidence of learning, creating a digital platform where teachers, students and parents can define and
assess success. The overarching question guiding this research is how might new technologies help
teachers, students, and parents with the visualization of student data and how this visualization can
inform assessment practices.

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Faculty Supervisor:

Susan Crichton

Student:

Partner:

Freshgrade

Discipline:

Sociology

Sector:

Education

University:

University of British Columbia - Okanagan

Program:

Accelerate

Geometric Deep Learning of Volatility Surfaces

Options are financial instruments that are used to manage risk, hedge investments, and speculate. The value of these options depends on the price of the underlying asset and a multitude of different variables. As a result, pricing models can become complex, requiring infeasibly expensive routines or simulations to be run to price a single option. One reason this procedure can be slow is that the model’s parameters need to be tuned to the market’s current conditions, reflected by an implied volatility surface (IVS), which gives the value of options with different parameters. While the IVS has been researched extensively, it is still not understood well. We propose the use of deep learning to better understand the IVS, and plan to release our models to the public for future research. Riskfuel creates options pricing tools using deep learning, and will be using the model for accelerating pricing.

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Faculty Supervisor:

Andreas Veneris

Student:

Partner:

Riskfuel

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Efficient Screening Method for Novel Fluorescent Emitters

Canadian public and private researchers have taken an interest in a new class of light-emitting materials which can produce better colour in OLED smartphone and television screens. Currently, the only way to fully confirm that a specific material in this class has the desired properties is to build it into a prototype OLED pixel. This slows discovery, because researchers need to figure out how to make larger batches of a specific material just to confirm whether that material is useful. This project will create a testing method that only needs small quantities, which is based on a method that was proven to work for a similar kind of material. When complete, researchers will be able to test materials more quickly, which will speed up the process of creating materials for specific tasks.

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Faculty Supervisor:

David Grant Allen;Timothy Bender

Student:

Partner:

Amber Molecular Inc.

Discipline:

Physics

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Multi-sensor long-range object detection & classification under challenging perceptual conditions

Autonomous vehicles must be constantly aware of all aspects of the driving environment, and so are typically designed with both omni-directional and long-range forward sensor footprints. The ability to accurately detect, track and predict the motion of distant vehicles and pedestrians along the driving route remains a significant challenge, for today’s state of the art perception methods, however, despite ever-more complex network designs and ever-better sensor configurations. The inherent need in long-range detection for high resolution appearance and depth is difficult to achieve with affordable hardware, leads to real-time performance challenges, and to significant drops in detection accuracy with range to objects due to heavy occlusion and viewpoint limitations.
In this project, we will attempt to make a major breakthrough in long-range 3D object detection and tracking for autonomous driving. Our strategy will involve three components, two led by University of Toronto researchers, and one by Gatik. First, we will develop novel 3D object detection methods operating over depth ranges of over 200 m, that combine vision and lidar data to produce accurate bounding box positions. Second.

View Full Project Description
Faculty Supervisor:

Steven Waslander

Student:

Partner:

Gatik Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Scaling up CO2 electrocatalysis

CERT has developed a technology to convert carbon dioxide into chemicals using water and renewable electricity in a system called a CO2 electrolyzer. They are scaling up this technology as part of the Carbon XPRIZE competition, a global race to find new technologies to make valuable products from CO2. CERT will take the CO2 from a natural gas power plant in Alberta and convert it into ethylene, a chemical building block used to make everything from plastics to textiles and cosmetics.
Interns from the University of Toronto will join the team and work on improving the carbon conversion technology. Through this work, the team will demonstrate the worlds largest CO2 electrolyzer. This research provides a path towards preventing climate change by converting CO2 into useful products.

View Full Project Description
Faculty Supervisor:

David Sinton;Ted Sargent

Student:

Partner:

CERT Systems Inc. (AB)

Discipline:

Engineering

Sector:

Clean Technology; Sustainability & the Environment; Advanced Manufacturing

University:

University of Toronto

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.