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

A data driven estimating procedure for an accurate cost and labor assessment in mold manufacturing

Cost estimation within mold manufacturing is critical for maintaining profitability and competitiveness. This project will look at a data-driven estimating method for accurate cost and labor assessment for quoting of complex molds. We will first analyze the features of molds and manufacturing processes. Next, investigate different methods for cost estimation, such as variant-based (case-based, and parametric), generative (activity-based, feature-based) and hybrid. This procedure will be integrated within manufacturing supply chains, both internal and external processes, such as shipping, steel hardening, and sandblasting, which are outsourced. We plan to develop numerical models to assist in different labor and material cost estimations. These models are expected to be implemented using MS Excel, Visual Basic or other widely available software platforms. Due to pricing of raw materials and outsourcing requirements, dynamic and automated updating will be studied. A data driven integrated method will be developed, which will be tested and compared with practical situations.

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Faculty Supervisor:

Guoqing Zhang

Student:

Mohammed Almanaseer

Partner:

Omega Tool Corp

Discipline:

Engineering - mechanical

Sector:

Advanced manufacturing

University:

Program:

Accelerate

Student data and learning analytics: Anonymity, confidentiality, privacy

Feedback from students is considered essential to continuous improvement in teaching at all levels, particularly in learner-centered education. This project looks at universities’ privacy and confidentiality policies and frameworks on the use of student feedback data, to inform decisions on program/curriculum enhancements and resource allocations for student success. Data can be from monitoring what students do online and what they expressed in their course evaluations. Data by itself, however, is not enough. An institution’s privacy and confidentiality policies influence how effectively such student feedback data can be used to inform decisions. This research will look at practices in universities and the state of the art research in this area in order to answer the question: How are universities providing a balance between collecting and using valuable student feedback with other student data such as online behavior and demographics, while at the same time ensuring that their privacy rights are being protected?

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Faculty Supervisor:

Kimiz Dalkir

Student:

Rebecca Katz

Partner:

Explorance Inc.

Discipline:

Education

Sector:

Education

University:

Program:

Accelerate

Impact and blast resistance of bare and concrete-infilled FRP tubes

Impact and blast loads are two severe dynamic loads that need to be investigated for any industrial and structural applications. Recently, Fiber reinforced polymer (FRP) tubes have been used in different electrical applications as electrical conduit systems, in addition, FRP tubes are used in structural applications in the form of Concrete-Filled FRP tubes (CFFT) members such as piles, bridge girders, piers and columns. In this research the impact and blast resistance of FRP tubes and CFFT members will be investigated using both experimental study and numerical analysis. Updated design recommendations for FRP tubes and CFFT members will be presented in this study.

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Faculty Supervisor:

Abass Braimah

Student:

Maha Mohamed Abdallah

Partner:

FRE Composites (2005) Inc.

Discipline:

Engineering - civil

Sector:

Manufacturing

University:

Program:

Accelerate

Development and Optimization of Advanced High-Throughput Behavioural Testing Platforms for the Screening of Mouse Models of Schizophrenia

Operant chambers equipped with touchscreens are a new technology that has been used for the mass behavioural phenotyping of rodent models of neurological disease. These chambers have the potential to make behavioural testing more reliable, faster, and translationally valid to human cognitive testing. To further increase the utility of these systems, technology capable of tracking animal behaviour in the chamber will be integrated into the operant system. In order to measure neural activity in the touchscreen systems, fibre photometry will be incorporated to measure the neural activity of large structures, while mini-scope technology will be incorporated to measure neural activity of smaller circuits. All of these technologies will be applied to the screening of a newly developed mouse model of schizophrenia. Through this work, the partner organization will be able to optimize touchscreen technology and increase the overall utility of these high-throughput behavioural systems.

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Faculty Supervisor:

Lisa Saksida

Student:

Daniel Palmer

Partner:

Lafayette Instrument Company

Discipline:

Pharmacy / Pharmacology

Sector:

Life sciences

University:

Program:

Accelerate

Effects of a digital lifestyle change program on prediabetes indicators, health outcomes and cost effectiveness.

The number of Canadians living with diabetes is at an all-time high as are the consequential healthcare costs. A scalable solution to this public health crisis is needed. The aim of this research project is to evaluate Transform, a digital health program created by Blue Mesa Health. The program is designed to prevent diabetes by helping people adopt healthier lifestyles. By analyzing existing Transform participant metrics and program outcomes, the intern will seek to understand the nature of the program’s impact on diabetes prevention. A secondary evaluation of the potential return on investment from diabetes prevention will also be carried out. Blue Mesa Health seeks to develop a strong research portfolio on Transform in order to provide a high-quality intervention that is both effective and competitive. BMH has plans to begin serving Canadians in 2019. Establishing collaborative partnerships in the Canadian academic arena is valuable to the growth and success of the company.

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Faculty Supervisor:

Gerry Mugford

Student:

Ryan Batten

Partner:

Blue Mesa Health

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Radiofrequency Treatment for Emphysema in Mouse Model

Emphysema, a lung disease that millions of Canadians currently suffer from, has few safe and non-invasive options available. One of the features of emphysema is the lack of proper blood flow in the diseased lungs and this results in poor gas exchange. IKOMED Technologies Inc. has been developing a new technology that has the potential to remove diseased lungs non-surgically. The initial proof-of-concept experiments have already been tested and validated using rat models with Dr. Don Sin. In the second phase of testing, they will continue to optimize this application using small mice for physiological studies to check both safety and effectiveness of this new treatment method. IKOMED Technologies Inc. is the sponsor of this work and will be acknowledged in potential publications. The data collected may be used for future patenting of this new treatment technology.

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Faculty Supervisor:

Don Sin

Student:

Mai Tsutsui

Partner:

IKOMED Technologies Inc

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

A Novel Bone Anabolic Treatment in a Mouse Model of Osteogenesis Imperfecta

Osteogenesis imperfecta (OI) is a heritable disorder that causes bone fractures. The drugs that are used at present help to decrease the number of fractures by about half, but most people with OI have many fractures despite receiving currently available treatments. Mesentech Inc has developed a new drug that has shown a strong effect on bone formation in rats. In this project, we will test the effect of this drug in a mouse model of OI. The new drug will be injected three times per week during a period of four weeks and the effect on bone strength will be assessed. We expect that the new drug will increase bone formation activity and make bones stronger in OI mice. This will open a potential new treatment avenue for patients with OI.

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Faculty Supervisor:

Frank Rauch

Student:

Boraschi Diaz

Partner:

Mesentech Inc

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Technology transfer of bioenergy systems for remote communities

The goal of this research is to use the developed information around the technical, economical and social political challenges for the implementation of small-scale bioenergy systems in remote indigenous communities in Canada. The targeted outcome creates a multi faceted model to evaluate the success and impact of future installation with less input factors to simplify the technology transfer and lower the overall investment requirements for communities or stakeholders. The project therefore attempts to promote and ease the installation of clean technologies in Canada to reduce carbon emissions, create job opportunities and retain money in local communities. The usage of local biofuels would further decrease the risk of wild fire in small communities and remote locations.

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Faculty Supervisor:

Dominik Roeser

Student:

Christoph Schilling

Partner:

FPInnovations

Discipline:

Forestry

Sector:

Forestry

University:

Program:

Accelerate

Evaluate effect of chemical compounds on plants using statistics and machine learning

To understand the effects of various substances on plants in terms of yield and disease severity (phytopathology), we need to evaluate both statistical significance and biological relevance when conducting biological experiments. Biological relevance refers to the nature and size of biological changes or differences seen in studies that would be considered relevant, while Statistically significance is the likelihood that a relationship between two or more variables is caused by something other than chance. The primary goal of the project is to apply statistics (experiment design, hypothesis testing, regression analysis) to understand effect of different substances on plants in-vitro, in-planta and in-field. The secondary goal of the project is to develop machine learning / deep learning models that produce estimates of plant health based on imaging and other sensor data generated by Terramera.

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Faculty Supervisor:

Tim Swartz

Student:

Matthew Reyers

Partner:

Terramera Inc

Discipline:

Statistics / Actuarial sciences

Sector:

Agriculture

University:

Program:

Accelerate

Characterization of a new ion source for mass spectrometry

Characterization of the energy distribution of ions generated by the plasma in an Inductively Coupled Plasma Mass Spectrometer (ICP-MS) instrument is necessary for a new ion source in that it influences the ion sampling process, transmission efficiency, focusing, and mass analysis in ICP-MS. These energy distribution phenomena are also analogous to the ion beam that has been generated from an electron impact ionization (EI) source. Similarly, better understanding of the ion beam profile results in a better optimization of the EI source for superior performance. Recently, we (The Centre for Advanced Coating Technologies (CACT), UofT) developed a new generation of ICP torches, with a conical geometry, which, in comparison with conventional torches, has been proved to provide higher ionization/excitation temperature, higher electron number density, higher robustness, lower interference from easily ionizable elements, and lower multi-element detection limits. TO BE CONT’D

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Faculty Supervisor:

Javad Mostaghimi

Student:

Ali Ebrahimi

Partner:

PerkinElmer Inc

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Establishment of gut microbiota and impact on host immune function with early-probiotic supplementation in neonate calves

The neonatal and pre-weaned periods are the most challenging in dairy production, resulting in the highest mortality and morbidity rates, with diarrhea proving the most common cause of calf health problems. In order to treat and control this diarrhea, producers often rely on antibiotic therapy. An alternative is to provide living microorganisms (probiotics) that minimize pathogenic bacteria colonization of the gastrointestinal tract (GIT), without producing drug residues, when directly fed to animals. The aim of the proposed project is to examine whether the addition of one specific yeast probiotic, Saccharomyces cerevisiae boulardii (SCB), impacts gastrointestinal microbiota and immune function in early-life calves. This will be the first study to explore the relationship between gut microbiota and host response with repeated measures. One part of the physiological mechanisms behind how probiotics affects gut health in calves will be potentially revealed.

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Faculty Supervisor:

Leluo Guan

Student:

Clothilde Villot

Partner:

Lallemand Health Solutions

Discipline:

Food science

Sector:

Agriculture

University:

Program:

Accelerate

A Mitacs Applied Research Proposal for Teck Resources: Leveraging Non-Technical Risk (NTR) Evaluation Best Practices to Improve Decision Quality

This work aims to take the academic research one step further to customize recommendations based on academic research findings on the identification and valuation of non-technical risks. It aims to improve the operationalization of the corporate strategy in the investment decision criteria guideline that involves both risks to the projects and risks to the people.

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Faculty Supervisor:

Nadja Kunz

Student:

Livia de Barros de Mello

Partner:

Teck Resources Limited

Discipline:

Engineering - other

Sector:

Environmental industry

University:

Program:

Accelerate

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