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

Merchant resolution of financial transaction records

Most people find it difficult to monitor and manage all of their financial data, due to the time and effort required to track their spending. With the advent of e-finance, instead of barter or cash-based transactions, most transaction data utilizes debit or credit cards. The resulting electronic “paper-trail” opens the possibility of helping individuals to manage their financial data. The goal of our project is to help people manage and monitor their financial history in a more user-friendly way, and make financial recommendations based on their own history. Given a large database of merchants and stores, the intern’s responsibility is to match the transactions with corresponding merchant accurately.

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Faculty Supervisor:

Raquel Urtasun

Student:

Partner:

SmartFinance LLC

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Employee Turnover Prediction

When an individual enters a company, the interaction between the company and individual is expected to increase. If it does not increase to an appropriate extent, the individual leaves the company based on his/her past experience. To avoid huge losses and widespread consequences, a company has no alternative but to decrease its employee turnover rate and discuss the true causes of employee turnover. PwC is constantly seeking to better understand how to engage and support its employees. Specifically, PwC is seeking to understand why people leave, when they do, and how to decrease the employee turnover rate. The success of the project could improve employee’s satisfaction and decrease instability. Moreover, it is also the potential new offering to PwC clients, such as commercial banks that suffering from high turnover rate.

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Faculty Supervisor:

Anthony Bonner

Student:

Partner:

PricewaterhouseCoopers (Toronto, ON)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Formulation of Cationic Peptides by Hyperbranched Polyglycerols for the Treatment of Chronic Rhinosinusitis

Chronic rhinosinusitis is a common condition in which the cavities in the nasal channel become inflamed and swollen. This condition interferes with drainage and causes mucus to build up. Delivery of the positively charged proteins containing short chains locally to the nasal area can be used for the treatment of this problem. This proposal suggests synthesis and characterization of negatively charged polymeric systems with specific modifications to bind to these proteins and stabilize them. This study is followed by investigation of the capability of the polymeric carrier to bind to the proteins and quantification of the bound amount. It will further continue by biological assessment of the designed system on the disease condition.

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Faculty Supervisor:

Donald Brooks

Student:

Partner:

Center for Drug Research and Development

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Optical liquid fingerprinting for dynamic process monitoring in nanofabrication

Color-based sensing enables sensors to be utilized in more places and by more people, particularly those who do not have access to or required training for sophisticated and expensive sensing technologies. This cost-effective sensing process is based on the change in an indicator’s color in response to the stimulation that is being sensed. This project seeks a novel
application for a color-based sensing method (Optical Liquid Fingerprinting technology), previously developed by the project’s partner organization. The technology can extract information about any liquid by generating distinct colorful patterns. For the first time, the information obtained through this technology will be used for real-time monitoring of common processes in fabrication of nanoscale semiconductor devices in which liquids are involved. The outcomes of this project can open new markets for the technology and also increase the yield in common nanofabrication processes used by academic researchers.

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Faculty Supervisor:

Xihua Wang

Student:

Partner:

Validere Technologies Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Visual Analytics for Interactive Exploration and Monitoring of Consumer Health Data at Molecular You Corporation (MYCO)

The business of Molecular You Inc. (MYCO) is to provide a comprehensive Personalized Medicine bioinformatic and health monitoring program for disease prevention, detection, and treatment that integrates “omics“ data with behavioral, and environmental data for customers and their caregivers. This project is part of a larger initiative that “seeks to innovate in the way people think about health”. In this research program we will look at the design and evaluation of visual analysis tools to support the exploration, monitoring and communication of complex, large scale, diverse data from the Molecular You initiative to consumers. The success of MYCO will depend in part on the effectiveness of their human – information interface to complex health data. This project will setup the basis of a process of understanding how health care consumers and caregivers can understand complex health data, propose interventions, and assess the results through the use of interactive visualization environments. Considering the initiative is a rather new endeavor, the project represents both a challenge and a unique opportunity for implementing and evaluating human centered design methods.

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Faculty Supervisor:

Brian Fisher

Student:

Partner:

Molecular You Corporation

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Optimization of the stem/gate connection of industrial valves– experimentation and modeling

Velan Inc. in Montreal, Quebec is one of the world leaders in design and manufacturing of industrial steel valves for applications in chemical, oil and gas, military, mining, and nuclear industries. Velan wishes to optimize its valve design in terms of maximum strength and minimum weight according to latest standard requirements. To achieve that, its existing analytical and finite element method (FEM) models should be improved by taking into account large deformation and contact analysis to accurately predict the failure point of stem and gate. The results of improved models will be validated by a series of destructive pull testing on an in-house test setup and the best-practice models will be recognized in a design loop. The efficiency of new developed models will be evaluated by design and testing of a new optimized stem/gate connection. The successful conclusion of this project will provide Velan with an improved understanding of failure mechanisms of its products. Furthermore, the developed state-of-the-art models will enable Velan to redesign a broader spectrum of the valves and prevent time consuming and expensive destructive testing.

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Faculty Supervisor:

Daniel Therriault;Martin Levesque

Student:

Partner:

Velan Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

École Polytechnique de Montréal

Program:

Accelerate

Methods to assess botanical extracts for potential plant growth stimulating or pest growth inhibiting action on crops

Botanical extracts with the potential to stimulate crop plant growth or performance must be rigorous tested as part of new product development. Similarly, botanical extracts that control microbial growth on plant tissues (including plant pathogenic fungi, bacteria, nematodes, etc.) or that control insect or arachnid pests on plants (aphids, whiteflies, mealybugs, mites, etc.) must be tested for unintended toxicity or inhibitory growth effects on plants. This project will develop standardized operating procedures (SOPs) to evaluate the effects of new botanical extracts on crop plant seed germination and early growth and to control microbial (fungal) issues on 3 major species grown in greenhouses (tomato, cucumber, bell pepper). SOPs will then be used towards discovery of herbal recipes with potential plant growth stimulating or pest growth inhibiting action. This will provide the partner company with detailed procedures to use for testing botanicals and assist with future project submissions to the Canadian Pesticide Risk Reduction Program.

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Faculty Supervisor:

Danielle Donnelly

Student:

Partner:

Mondias Naturals

Discipline:

Life Sciences

Sector:

Agriculture and Food; Life Sciences (not health); Health and Related Sciences & Technology

University:

McGill University

Program:

Accelerate

Risk Alive Analytics

The primary functions of the Risk Alive Analytics tool are to predict risk and time to unsafe days and predict the occurrence of hazardous events (incidents with the potential to cause injury to personnel, damage to the environment, or financial loss) at given processing facility(s) and in addition develop a Risk Profile of a facility under study, and benchmark it to other facilities and similar equipment and processes. ACM has gathered a large amount of process hazards and risk analyses (for example, Hazard and Operability Studies) and data on Oil & Gas facilities and pipeline operations. One of the fundamental tasks of this project is to use data mining and data conditioning techniques to structure risk related data sets and to apply statistical analytical techniques mining in order to identify trends that will allow the development of a model to predict the probability of future adverse events.

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Faculty Supervisor:

Jon Rokne;Reda Alhajj

Student:

Partner:

ACM Facility Safety

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Modern tools for selecting disease-resistance traits in honey bees

Over the past six and a half years we have developed a way to measure disease resistance in honey bees using a molecular diagnostic approach, similar to the tests done every day in hospital laboratories. We have then used this method to selectively breed bees that are, indeed, more resistant to disease. This is akin to the selective breeding humans have practiced for millennia on all our agricultural crops and livestock, only using modern tools. It is not genetically modifying bees. Now that we have shown this works under controlled conditions, this project will work with BC-based bee breeders to implement this approach to selective breeding in their own operations. The result will be bees that are more naturally resistant to diseases and pests, including the varroa mite, the most important cause of bee die-offs world-wide. This will ultimately help to make beekeeping in BC and Canada more profitable, provide more bees for critical pollination activities and generally reduce the use of chemicals in the hive.

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Faculty Supervisor:

Leonard Foster

Student:

Partner:

Canadian Honey Council

Discipline:

Engineering

Sector:

Agriculture

University:

The University of British Columbia

Program:

Accelerate

A Sequential Model to Recognize Depression Acuity Using Social Media and Physical Activity

Over 350 million people worldwide suffer from depression. A key part in diagnosing depression is screening questionnaires, which rely on patient self-reports of the recent past. With the advent of social media and wearable devices, there is an opportunity for a novel approach to detecting when a patient diagnosed with chronic depression becomes acute. In this project, we use social media data and physical activity data to detect depression acuity. Social media is indicative of an individual’s mental state. Physical activity is an indicator of physical wellness. Our aim is to use machine learning to uncover patterns within and among these two diverse data sources to build a sequential model to identify depression acuity more accurately and sooner than existing screening questionnaires. Dapasoft benefits from this project since it is complementary to their products for handling electronic health records.

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Faculty Supervisor:

Rhonda McEwen

Student:

Partner:

Dapasoft Inc;University of Toronto Mississauga

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto Mississauga

Program:

Elevate

Development of Graphene Modified Cathode for Next Generation Aqueous Rechargeable Lithium Batteries – Year 2

Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these goals, in this proposal, two dimensional graphene materials are integrated on the surface of the cathode, forming a hybrid cathode aqueous battery. Attributing to the unique physical and chemical properties of graphene, such rechargeable hybrid aqueous battery (ReHAB) is expected to show significantly improved electrochemical performance over traditional aqueous batteries, constituting a viable alternative to large scale energy storage application. The progress made by this research will be directly transferred to the industrial partner, POSITEC Group Canada, based in Toronto, to further optimize large-scale manufacturing and design start-stop energy suppliers in electric vehicles.

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Faculty Supervisor:

Pu Chen

Student:

Partner:

Positec Canada Ltd;University of Waterloo

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Elevate

Development of Graphene Modified Cathode for Next Generation Aqueous Rechargeable Lithium Batteries

Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these goals, in this proposal, two dimensional graphene materials are integrated on the surface of the cathode, forming a hybrid cathode aqueous battery. Attributing to the unique physical and chemical properties of graphene, such rechargeable hybrid aqueous battery (ReHAB) is expected to show significantly improved electrochemical performance over traditional aqueous batteries, constituting a viable alternative to large scale energy storage application. The progress made by this research will be directly transferred to the industrial partner, POSITEC Group Canada, based in Toronto, to further optimize large-scale manufacturing and design start-stop energy suppliers in electric vehicles.

View Full Project Description
Faculty Supervisor:

Pu Chen

Student:

Partner:

Positec Canada Ltd;University of Waterloo

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Elevate

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