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

Iceberg and Ice Island Drift Modeling Tools and Techniques

Icebergs off the East Coast of Canada pose a risk to shipping and offshore activities including offshore oil and gas platforms. All Canadians have an interest in understanding these risks and improving safety for individuals while safeguarding wildlife and the natural environment. Recently very large ice islands have been observed which could pose unique threats. A new collaborative research project will use the latest field data to compare and improve competing models which predict where icebergs and ice islands may drift under changing weather and ocean conditions.

View Full Project Description
Faculty Supervisor:

Derek Mueller

Student:

Ronald Saper

Partner:

ASL Environmental Sciences Inc

Discipline:

Environmental sciences

Sector:

Oil and gas

University:

Carleton University

Program:

Accelerate

Thermoplastic injection molding of bioprinter cartridges using silicon inserts

Patients who suffer from severe burns require immediate wound closure to ensure survival and facilitate healing. The current gold standard in surgical practice is the use of split-surface autographs, allographs, or skin substitutes, but limitation range from the lack of layered tissue organization, the potential for immunological rejection, and the need for high quantities of donated tissue. At the Guenther laboratory, we aim to address these issues by designing a microfluid cartridge-based 3D bioprinter which allows the synthesis of cell-embedded, multi-layered gels in a single, continuous process in contrast to traditional top-down assembly approaches. In close collaboration with engineers at SMT Americas, we will improve the design of existing microfluidic cartridges to enable scalable manufacturing of these 3D bioprinting components.

View Full Project Description
Faculty Supervisor:

Axel Guenther

Student:

Richard Cheng

Partner:

SMT Americas

Discipline:

Engineering - biomedical

Sector:

Nanotechnologies

University:

University of Toronto

Program:

Accelerate

SIEMENS Perceived Value of Energy Consumers Project: Research and Development for Modeling the Perceived Value of Energy Consumers

Research and Development for Modeling the Perceived Value of Energy Consumers is a novel area of study which should help to better understand the energy consumers and the perceived value they place on different services and products. By identifying, understanding potential new products and services the related business models can be developed. Various dependencies between product/service offerings and customer segment can be displayed, analyzed and measured through key performance indicators (KPIs) to determine the customer perceived values, such as customer satisfaction and customer retention. The increased understanding of the perceived value and the customer segments can result in new innovative and tailor-made products and service.

View Full Project Description
Faculty Supervisor:

Dhirendra Shukla

Student:

Samira Keivanpour

Partner:

Siemens Canada

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

University of New Brunswick

Program:

Accelerate

Exploring the benefits of the novel CRISPR endonuclease Cpf1 over Cas9 for genomic engineering

A recently developed technology called CRISPR/Cas9 allows scientists to quickly and precisely edit DNA in living cells and is about to revolutionize molecular biology and genetics. The success of CRISPR/Cas9 is based on its ease of use, effectiveness and cost efficiency. Our aim is to explore a variant of this technology, CRISPR/Cpf1, for its application in genomic engineering and potential benefits. Specifically, we want to systematically address whether CRISPR/Cpf1 can be used to manipulate any gene of interest in the genome, and whether it matches or exceeds the functionality of CRISPR/Cas9. In a second step, we aim to use this technology to improve existing cell-based production systems for biologic drugs such as therapeutic antibodies used in cancer treatment.

View Full Project Description
Faculty Supervisor:

Jason Moffat

Student:

Xiaoyu Zhang

Partner:

Zim Corporation

Discipline:

Biochemistry / Molecular biology

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Mapping temporal and spatial variations in air quality using real-time mobile mass spectrometry

This project will support the development of mobile sensor technology and data processing techniques that can be used to identify, characterize, and map contaminant sources that impact air quality in British Columbia. Volatile and semi-volatile organic compounds (VOC/SVOCs) are present in the atmosphere as a result of human activities and natural sources. These compounds are important for air quality management as they can be detrimental to human health both directly (some, such as benzene, are carcinogens) and indirectly as precursors to ground-level ozone (a respiratory irritant). The development of real-time, mobile mass spectrometry for mapping and tracking of VOC/SVOCs on the regional scale will improve our understanding of factors that impact air quality and contribute to the formation of ground-level ozone formation. This technology will support policy objectives in the Fraser basin aimed at minimizing the frequency and severity of chronic and acute exposure to toxic air pollutants.

View Full Project Description
Faculty Supervisor:

Erik Krogh

Student:

Larissa Richards

Partner:

Fraser Basin Council

Discipline:

Chemistry

Sector:

Information and communications technologies

University:

Vancouver Island University

Program:

Accelerate

Advanced wearable inertial tracking system to monitor automotive assembly operator motion for human simulation applications

Capturing the real human motions on the assembly plant floor is the key point for developing accurate virtual simulations. The real human motions of specific workstation operations at Ford Oakville Assembly Plant by using wearable inertial sensors will be collected. After data collection, virtual simulations will be performed for all the recorded operation tasks. Based on simulations, physicians can observe and conduct ergonomic assessment of each of operation tasks on the plant floor. In addition, developing an accurate posture prediction algorithm is important for the future assembly operation designs. This project will focus on the development of this new algorithm for some specific operation tasks. Once this developed posture prediction algorithm is validated, it will enable engineers to design assembly operations which do not exist at the moment. The real-time ergonomic analyses will aid engineers in assessing injury risks in the assembly design process.

View Full Project Description
Faculty Supervisor:

Joel Cort

Student:

Adrian de Gouw

Partner:

Ford Motor Company

Discipline:

Kinesiology

Sector:

Information and communications technologies

University:

University of Windsor

Program:

Accelerate

Deconvolution of Whole Blood Transcriptome based on mRNA-Seq data

Gene expression in blood is highly affected by the type and proportion blood cells. Therefore, cell composition needs to be taken into account when looking for signatures specific to a condition. The issue is that cell composition needs to be assessed on fresh blood, i.e. at time of blood collection. If this has not been done, the only way one can assess is by predicting it using a methodology suggested in this proposal. Therefore, if blood cell count is not available, the cell composition can be inferred from existing next generation sequencing data sets. This would help researchers being able to use their existing datasets or publicly available data that do not have corresponding blood composition information.

View Full Project Description
Faculty Supervisor:

Raymond Ng

Student:

Zhouqin He

Partner:

Centre of Excellence for the Prevention of Organ Failure

Discipline:

Computer science

Sector:

Life sciences

University:

University of British Columbia

Program:

Accelerate

Targeting clonal heterogeneity in treatment-refractory Glioblastoma with novel and empiric immunotherapies

Glioblastoma (GBM) is the most common primary adult brain tumor, characterized by extensive cellular and genetic heterogeneity. Even with surgery, standard chemotherapy, and radiation, tumor recurrence and patient relapse are inevitable with a median survival rate of <15 months. The overall goal of this proposal is to identify new therapeutic targets that drive clonal evolution in treatment-refractory GBM, develop novel and empirical immunotherapies that harness the immune system and target specific cell surface receptors on GBM cells at the same time, and undertake preclinical evaluation of candidate therapeutic antibodies using our unique animal model of human GBM recurrence. The interns in this proposed cluster will be involved in 1) tracking GBM cell populations to determine the intracellular pathways that drive relapse and 2) the development of novel biologics to target specific proteins in these pathways under the direction of Dr. Moffat (UofT) as well as 3) testing these in animal models in Dr. Singh’s lab (McMaster). A promising lead panel of biotherapeutics will be translated into early clinical development at the partner organization, CCAB, and their its network of clinicians and industry partners with the hope of generating targeted therapies

View Full Project Description
Faculty Supervisor:

Sheila Kumari Singh

Student:

Nicolas Yelle

Partner:

Centre for the Commercialization of Antibodies and Biologics

Discipline:

Medicine

Sector:

Life sciences

University:

University of Toronto

Program:

Accelerate

Efficacy of antibacterial/antifungal mouth rinses in the control of periodontal pathogens and behaviour of neutrophils under these conditions

Periodontitis is a polymicrobial infectious and inflammatory disease that can lead to destruction of supporting structures of teeth. Although pathogenesis of periodontitis includes genetic and environmental factors, oral microbial biofilm elicits an inflammatory host reaction. Improvement in patients with periodontitis relies mainly on elimination or at least control of periodontal pathogens. The aim of this study is to investigate the activity of antibacterial-antifungal mouth rinses on growth and virulence properties of planktonic/biofilm cells of specific periodontal pathogens. Four combinations of antibiotic rinses will be tested initially for efficacy in inhibiting growth of the target bacterial strains that are implicated in periodontal disease and neutrophil behavior. The second tier in this project would be the testing of several other antibiotic combinations that are still in the development stage. The results of this study would determine the ratio of antibiotic and antifungal that would be optimum to use in these existing and the new products. In addition to benefiting Oravital® in the development of these rinses, dental practices will have an effective alternative in the treatment of dental disease.

View Full Project Description
Faculty Supervisor:

Michael Glogauer

Student:

Anca Serbanescu

Partner:

Oravital Inc

Discipline:

Dentistry

Sector:

Pharmaceuticals

University:

University of Toronto

Program:

Accelerate

Investigation and Analysis of measurement & simulation-based Core-Follow systems for Nuclear Research Reactors

The Nuclear Reactor Group at McMaster University, in collaboration with the Department of Engineering Physics, propose a project to investigate and analyze software systems for use at nuclear research reactors for core-follow and prediction calculations. This project involves research of nuclear fuel burnup calculations, and the creation of a methodology to couple simulation-based core-follow calculations to operational measurements for nuclear research reactors. This work will include implementation of the advanced core-follow and prediction system at the McMaster Nuclear Reactor. The work is designed to be executed as a post-doctoral project, providing the intern not only with advanced simulation tool experience but also with valuable hands-on experience at a working nuclear facility. Benefits to the partner organization will be the availability of an improved core-tracking tool and methodology and accurate fuel material data, improving operation efficiency, safety and utilization at the facility and providing a foundation for advanced engineering support for future research and production applications.

View Full Project Description
Faculty Supervisor:

David Novog

Student:

Erwin Alhassan

Partner:

McMaster Nuclear Reactor

Discipline:

Engineering

Sector:

Alternative energy

University:

McMaster University

Program:

Accelerate

The enhanced use of numerical methods for reservoir description using well test and production data

Many reservoir engineering studies are based on simplified equations to analyze the production data. However, in many situations such as shale gas reservoirs, these approaches cannot provide the accurate results in presence of non-homogeneous complexities. This project is aimed to use numerical simulation and novel workflows to tackle the limitations of the current analytical methods. These studies are performed using a state-of-the-art reservoir simulation (tNavigator by Rock Flow Dynamics). Some real cases are also considered during this internship period and the applications of the proposed workflows are examined. This internship not only helps me be in close contact with industry, but also helps develop my ideas in close interaction with academia. This is exemplified by analyzing the production data of an unconventional gas well in the Montney Formation in Canada. The participating company will benefit from my research to get a better understanding of some particular issues in building representative reservoir models to improve their software functionalities dealing with building, interpreting and updating complex reservoir models.

View Full Project Description
Faculty Supervisor:

Mario Costa Sousa

Student:

Hamidreza Hamdi

Partner:

Rock Flow Dynamics Inc

Discipline:

Computer science

Sector:

Environmental industry

University:

University of Calgary

Program:

Accelerate

Foundations for Geocontextualization

Urban design and development is an iterative process that involves community engagement and multiple feedback cycles. Advances in internet technologies and web mapping technologies has made it possible to display design plans on websites and to collect feedback on specific locations or aspects of the provided design. Using web mapping applications to feedback from the community is formally known as facilitated volunteer geographic information (FVGI). FVGI has potential to improve decision making in urban governance but it comes with challenges such as data overload, poor data quality and data ambiguity. This research proposes an automated process to address FVGI challenges using a methodology termed as geocontextualization. The technique will use machine learning theories and an understanding of geography to achieve desired results. The partnership project will focus on the foundations of the methodology by providing the researcher to develop and implement data collection and reporting methodologies.

View Full Project Description
Faculty Supervisor:

Robert Feick

Student:

Majuratan Sadagopan

Partner:

Gerrard Design Associates Inc

Discipline:

Urban studies

Sector:

Construction and infrastructure

University:

University of Waterloo

Program:

Accelerate

Previous
1…1,0531,0541,0551,0561,0571,0581,059…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe