Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Predicting real-world attention with physiology

It is estimated that the average person spends up to 50% of their waking hours thinking about things other than what they are presently doing (i.e., mind wandering). This internal form of distraction along with its external counterpart (i.e., external distraction) are associated with performance deficits during everyday activities, such as reading or driving. Moreover, individuals are often unaware that their mind has wandered, which can lead to absentminded errors. Depending on the context, the consequences of distraction can range from reduced productivity to injury or even death. Thus, the economic and human costs associated with distraction represent an enormous burden for Canadians. The proposed research project seeks to identify the physiological signature of distraction in its endogenous and exogenous forms by measuring subjective, behavioural, and physiological changes linked to attention during everyday tasks (e.g., driving simulation, reading). TO BE CONT’D

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Faculty Supervisor:

Amir Raz

Student:

Partner:

9617094 Canada Inc

Discipline:

Sociology

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

The Future of Robots in Factories

Robots are increasingly seeing use in manufacturing. However, current robot technology is not sufficient to perform all tasks. Researchers have proposed using human-robot collaborations to exploit robots’ ability to do repetitive and boring jobs and the ability of human workers to perform fine-motor skills in unstructured environments.
In the proposed research, we consider algorithms to improve efficiency while maintaining safety. We consider robot-tohuman and human-to-robot handovers, intuitive control schemes, human-position sensing and robot response to human position, as well as behaviours that facilitate robots assisting in assembly such as bin-picking and two-handed coordination for assembly.
We are building the algorithmic fundamentals for an efficient, safe, and enjoyable collaboration between robots and factory workers.

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Faculty Supervisor:

Machiel Van der Loos;Elizabeth Croft

Student:

Partner:

Istuary Innovation Labs Inc (Vancouver, BC);Postmates

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

The University of British Columbia

Program:

Accelerate

Investigation of magma conduits and their relationships to Cu-Pd mineralization at W-Horizon of the Marathon deposit, ON, Canada

Copper and palladium (Cu-Pd) mineralization at the Marathon Deposit are associated with gabbro rocks. It is fundamentally important to be able to distinguish among the different types of gabbros, because only those of the Marathon Series are host to mineralization. This is accomplished through logging drill core, whole rock geochemistry and mineralogy. Mineralization at the W Horizon (the highest grade mineralization at Marathon) is believed to have formed in a conduit system (flowing magma) but the distributions of gabbros in W Horizon need to be determined in order to develop a 3D model, which can then be applied to guide future exploration. The goal of the current study is to develop a 3D model of the W Horizon. TO BE CONT’D

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Faculty Supervisor:

Robert Linnen;David Good

Student:

Partner:

Stillwater Canada Inc

Discipline:

Earth science

Sector:

Mining

University:

Western University

Program:

Accelerate

AI-based Machine-Learning Trading Algorithms

EquitySoft Investments is a private wealth management firm in Vancouver BC specialized in machine-learning trading algorithms. Our Mitacs internship’s objective is to determine which machine learning system works best under certain financial conditions using our proprietary trading algorithms. EquitySoft benefits from this research by being able to leverage expertise on applied machine learning to AI-based wealth management methods; this research will help EquitySoft build its competitive edge as we are committed in the long-term to building and/or improving on new kinds of artificial intelligence methods for wealth management.

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Faculty Supervisor:

Michael P Friedlander

Student:

Partner:

EquitySoft Investments Valuations Inc

Discipline:

Computer science

Sector:

Finance and Insurance

University:

The University of British Columbia

Program:

Accelerate

The impact of milk plane of nutrition and starch digestion of the solid diet on adaptations of the gut during weaning in dairy calves

Calves in dairy production systems have been traditionally fed low amounts of milk to encourage solid feed intake which is thought to minimize stress during weaning. It is unclear how feeding an elevated amount of milk pre-weaning and the digestibility of the solid feed has on gut health and function in dairy calves – which is of great interest to Cargill Animal Nutrition Canada. Therefore the objective of this project is to determine how plane of milk nutrition and starch digestion in solid feed impact dairy calf gut development and health during weaning. TO BE CONT’D

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Faculty Supervisor:

Michael Steele

Student:

Partner:

Cargill Limited

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing

University:

University of Alberta

Program:

Accelerate

Image Style Classification and Its Application on User Engagement

In this project, we will apply machine learning to perform image style classification. We will build a system that uses image style classification to increase user engagement in an eCommerce platform setting. We will study the effects of user preferences for particular image styles on their engagement with the platform.
Image style classification is the task of categorizing an image based on attributes such as composition style (e.g., minimal, geometric, etc.), atmosphere (hazy, sunny), or colour (pastel, bright). Several machine learning techniques that perform automatic image style classification have been proposed recently. We will create a new large-scale dataset of images and critically evaluate the different techniques.
We hypothesize that individual users have a consistent preference for particular image styles, and that this fact can be used to increase user engagement using an automatic image style classification system. A rigorous user study will be conducted to test this hypothesis.

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Faculty Supervisor:

Ravin Balakrishnan;Matt Medland

Student:

Partner:

ContextLogic Technologies Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Review of Dry Comminution Technologies and Innovations

Goldcorp recently announced a new initiative referred to as H2zero with the goal of reducing water usage in their mining operations by 80 to 100%. Mineral processing and specifically comminution and mineral separation are the main consumers of water. This research focuses on dry comminution technologies and represents a first step towards advancing dry comminution as part of a longer term goal and research intersect. A literature review will be conducted to compile information about existing and novel dry comminution technologies. The review will consider technologies used across a range o industries and to assess their suitability for metal mining.

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Faculty Supervisor:

Bern Klein

Student:

Partner:

Newmont Goldcorp (Vancouver, BC)

Discipline:

Engineering

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

Retirement Income and Wealth Management Analytics

The QWeMA division of CANNEX develops solutions for the financial and insurance industry of North America. Our analytics play an important role in determining the value proposition of investment products. Our solutions help the financial community and public through their financial advisors to be able to make informed decisions.
We work at the intersection of finance, mathematics, actuarial science, and computer science. Our solution strategies require us to solve complex mathematical and optimization problems in a finite amount of time. Therefore, our ability to understand the structure of various methods is vital to help us meet our business objectives.
Our main objective of the proposed internship is to use our knowledge of mathematics, optimization, financial modeling, and statistics to discover new investment strategies for retirement as well as address ongoing challenges and difficulties in the industry. Interns will receive an opportunity to put their knowledge to solve a real world problem.

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Faculty Supervisor:

Thomas Salisbury;Huaxiong Huang

Student:

Partner:

CANNEX Financial Exchanges Limited

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Application of lean construction in Small and medium-sized enterprises

Construction SMEs significantly contribute to Canada’s economy. Therefore high productivity within the SMEs is highly beneficial for the development of the country. Building constructions and renovations are everyday occurrences which involve the constant need to improve and readapt business practices to market forces and trends of globalization. Consumers and business owners face problems during each project that may result in delayed project delivery or extra cost spending. No one really likes this right? Research indicates that large construction firms have successfully incorporated lean construction elements in their processes. However, the application of lean elements in Construction SMEs is not particularly defined. TO BE CONT’D

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Faculty Supervisor:

Mohamad Hassan Wafai

Student:

Partner:

Maximilian Huxley Construction Ltd;Kinetic Construction Ltd

Discipline:

Business

Sector:

Construction and infrastructure

University:

Royal Roads University

Program:

Accelerate

Automated CNC processing of complex and high-aspect-ratio microfluidic devices for biomedical applications

Disposable microfluidic devices, also known as labs-on-a-chip, made out of plastic materials have seen increasing applications in chemical and biomedical analysis. In most applications, microfluidic devices usually incorporate small channels and chambers for micro sized dimensions, using heights between a few hundred to a few micrometers. Currently, manufacturing processes have been established to create these sub-millimeter deep features. However, in other applications, higher (or deeper) features of a few millimeters may be needed. Using the traditional microfabrication methods for such millimeter range features could be inefficient, low-quality and very time consuming. As a result, the internship project aims to study existing computer-aided milling and laser technologies, applying such technologies to the fabrication of components that are too tall to be processed by microfabrication, and develop assembling processes to install individually microfabricated parts and milled or laser processed parts together for a complete microfluidic device.

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Faculty Supervisor:

Julie Audet

Student:

Partner:

FlowJEM Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Assessment of the Performance and Treatment Benefits of Primary Solids Microscreen Filtration with an Onsite Wastewater Treatment System

Onsite Domestic Wastewater Treatment and Reuse is emerging as a potential solution to the water shortages, eroding distribution infrastructure, and energy intensive treatment processes that are a fixture of the modern city. However, existing onsite treatment technologies fail to compactly treat water to a high enough quality for urban reuse without increasing per capita treatment energy use. Primary filtration, the filtering of raw wastewater influent, is a promising technology for onsite treatment because organics in the wastewater have yet to degrade over a long sewer journey, leaving the suspended organics still intact and easy to remove physically. The objective of this research is to evaluate the performance of onsite microscreen filtration by sampling wastewater from a local ECO-TEK onsite treatment facility and performing a comparative treatment study at bench-scale. TO BE CONT’D

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Faculty Supervisor:

Ryan Ziels

Student:

Partner:

ECO-TEK Ecological Technologies Inc

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

The University of British Columbia

Program:

Accelerate

Développement d’emballages bioactifs à partir d’extraits forestiers

Les plantes sont riches en composés naturels ayant des propriétés antioxydantes et antimicrobiennes. Ces composés sont souvent des composés phénoliques ou des terpènes. Plusieurs études ont montré l’effet antimicrobien d’extraits d’épices et de fruits. Cependant aucune étude n’a permis à ce jour de caractériser l’écorce de bois. L’écorce de bois est un sous-produit des produits de la foresterie. La caractérisation de ses composantes permettrait de valoriser ce produit et d’utiliser les extraits comme antimicrobiens en alimentation par exemple en les utilisant comme matière bioactive dans des films biodégradables ayant des propriétés antimicrobiennes.

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Faculty Supervisor:

Monique Lacroix

Student:

Partner:

FPInnovations (Québec, QC)

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Accelerate

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