Innovative Projects Realized

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

29670 Completed Projects

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801
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663
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825
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8841
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95
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568
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1088
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Projects by Category

Optimizing the COVID-19 response capacity at the Canadian Red Cross (CRC) through technical and evidence-based support to CRC’s Global Health Unit

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The Canadian Red Cross (CRC) has been at the forefront of providing support to the COVID-19 response in Canada. The Global Health Unit (GHU) at CRC is providing health-related technical and operational support to CRC in its efforts to combat the impact of COVID-19 in Canada. To optimize the CRC operations, the GHU is striving to provide quality evidence-based technical and operational guidance to the CRC program implementers who are working in the field to operationalize the public health measures put in place by the Government of Canada. The research will provide the scientific basis for CRC’s COVID-19 related work, contributing to COVID-19 response in Canada and globally through knowledge sharing activities.

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Faculty Supervisor:

Amardeep Thind

Student:

Partner:

Canadian Red Cross (Ottawa, ON)

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Other services (except public administration)

University:

The University of Western Ontario

Program:

Accelerate

BI-Driven Management of Patient Flows in Health Care Organizations

Hospitals in Ontario are operating at congestion levels that translate into long wait times, staff burnout, and inefficiencies. Decisions coping with problems are made based on incomplete data which may be days out of date because the data is collected, processed and delivered manually in an ad hoc manner. Furthermore, these decisions may be optimal for a particular department, but sub-optimal for the hospital as a whole. Our proposed research project will develop a systematic, model-based framework that supports the development and deployment of applications to collect, process and deliver data in a continuous, timely fashion to support the management, analysis and decision support of patient flows. The focus will be on cardiac patient flow management at a hospital in Brampton (William Osler Health System). This will increase the effectiveness and efficiency of organization operations and improve outcomes and user experience for both the public and organizational staff.

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Faculty Supervisor:

Daniel Amyot

Student:

Partner:

IBM Canada Ltd;University of Ottawa

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

A Systemization of Knowledge on the Dual Nature of Technology in Providing Support to Sexual Assault Survivors

In light of the COVID-19 pandemic, there has been an increase in sexual assault incidents. Research shows that when there are disasters and economic meltdowns, there is usually a spike in sexual assaults. The world is experiencing both a pandemic and economic downturn. With self-isolation, social distancing, and the stay-at-home orders, the use of technology to provide support to survivors is now more critical than ever before. However, the use of technology could be a double-edged sword. Using technology to support survivors could sometimes increase the risk for survivors. Our research aims to provide a systemization of knowledge on research involving the use of technology to support survivors. Based on our findings, we can identify technological gaps and develop guidelines on how technology can better support these vulnerable populations during these unprecedented times and beyond.

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Faculty Supervisor:

Konstantin Beznosov

Student:

Partner:

Vesta Social Innovation Technologies Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Structural characterization and mechanism-based inhibition of TMPRSS2, a human protease that activates SARS-CoV-2

The novel SARS-Coronavirus-2 becomes activated and is infective after interacting with the human TMPRSS2 enzyme, as it primes the virus to enter and hijack lung cells for viral replication. By designing drugs using a strategy that has shown success in inhibiting enzymes structurally similar to TMPRSS2 and understanding the exact shape of this enzyme in greater detail, highly specific drugs can be engineered to block SARS-CoV-2 activation and alleviate symptoms contributing to COVID-19 mortality. Through a collaboration between BC Cancer and the Structural Genomics Consortium, promising COVID-19 therapeutics predicted to block TMPRSS2 can be produced and tested experimentally, then translated to clinical study in an accelerated manner through the combined expertise of leading scientists and clinicians.

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Faculty Supervisor:

Francois Benard

Student:

Partner:

Structural Genomics Consortium

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Assessment of anti-viral, anti-bacterial and anti-fungal properties of metal-ion-filament laced 3D-printed personal protective equipment

3D-printed personal protective equipment can provide a locally-sourced manufacturing network to address shortages for Canadian front-line workers during the COVID-19 pandemic, however little is known about the harmful germs that can live on 3D-printed material. Certain metals-ions are known to have anti-microbial properties and can be incorporated into 3D-printed plastics. We will study the anti-microbial properties of metal-laced 3D-printed plastics by assessing the presence of bacteria, and fungi on the plastics, and then determine optimal disinfection times and formulations to reduce contamination on 3D-printed personal protective equipment. We will also test the effectiveness of these metal-laced 3D-printed plastics in killing viruses, including the novel coronavirus.
At DECAP Research and Development Inc. our mission is to design, test and manufacture customizable 3D-printed protective equipment. Currently, our efforts are focused on optimizing and conducting research on 3D-printed personal protective equipment to enhance front-line worker safety and prevent the spread of COVID-19.

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Faculty Supervisor:

Horacio Bach

Student:

Partner:

DECAP Research and Development Inc

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

A Principled Approach to Developing Machine Learning Models for the Synthesis of Structured Health Data

Under the current pandemic of Covid-19, sharing health record data has tremendous benefits to control the spread of the infection and save lives globally. In medical research and discovery, Electronic medical records (EMRs) play the essential role for medical discovery in two categories, namely 1) cross-sectional study and 2) longitudinal study. Cross-sectional study compares different population groups at a single point in time while in longitudinal study, researchers conduct several observations of the same subjects over a period of time. Sharing EMRs across medical institutes in a wide scale, both risk the privacy limit of patients. Recent research has been developed to mitigate risk including record simulation via advanced neural networks. While showing promise in certain applications, these models have limitations in handling cross sectional heterogeneous data and have not been applied to longitudinal EMRs. This proposal aims to develop a principled approach with rigorous methodology to derive (a) machine learning models to synthesize EMRs of health data and (b) utility analysis of the data synthesis.

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Faculty Supervisor:

Yan Liu;Bei Jiang;Linglong Kong;Adam Kashlak

Student:

Partner:

Replica Analytics

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Concordia University; University of Alberta

Program:

Accelerate

Surgical Simulator Design and Evaluation Using Game EngineTechnology

Surgical training is increasingly being done using simulator technology in order to teach basic
skills to residents without risking patients’ lives. However, neurosurgery lags behind other
surgical specialties in the adoption of simulators. Since there are no commercial simulators
in this domain, the National Research Council has embarked on a neurosurgery simulator
development program, in collaboration with Canadian neurosurgeons. We are planning to
work in collaboration with this project in order to design surgical scenarios as part of a
curriculum for the simulator; making use of Game Engine development tools as part of the
prototyping for the system development. Our project will also focus on the evaluation of the
simulated scenarios, making use of perceptual and educational evaluation methodologies.
The outcome of our research will benefit both partner organizations: (1) LHSC, by developing
training modules and a curriculum that neurosurgery residents can use to rehearse and refine
surgical skills; and (2) Digital Extremes, by exploring this avenue as a new market

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Faculty Supervisor:

Roy Eagleson

Student:

Partner:

London Health Sciences Centre;Digital Extremes;National Research Council of Canada (Ottawa, ON)

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

Western University

Program:

Accelerate

Ordonnancement et pilotage intelligents d’une cellule robotisée de soudage4.0

Bombardier Transport a développé, en collaboration avec différents partenaires, une cellule de soudage robotisée. Ce projet vise à systématiser et à automatiser la prise de décision pour le pilotage efficient de cet équipement. À terme, le projet permettra de maximiser le potentiel de la cellule et d’équipements comparables dans une perspective intégrée et agile propre à l’ère de l’Industrie 4.0. Les contributions envisagées sont en trois volets. Tout d’abord, nous visons l’étude détaillée de l’environnement dans lequel s’opère l’équipement. Ensuite, nous visons le développement d’un sous-système de contrôle intelligent qui permettra l’exploitation efficace de celui-ci pour remplir les commandes et pour s’ajuster aux imprévus au niveau des commandes. Finalement, nous proposerons un second sous-système qui vise la prévision de bris et la planification de maintenances préventives dans le but de minimiser les temps d’arrêt.

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Faculty Supervisor:

Monia Rekik;Michael Morin;Nadia Lehoux;Claude-Guy Quimper;Michael Morin;Jonathan Gaudreault

Student:

Partner:

Bombardier Transportation Canada Inc;Fondation J. Armand Bombardier

Discipline:

Computer science

Sector:

Manufacturing; Transportation and warehousing

University:

Université Laval

Program:

Accelerate

Smart Over-the-Road Loading Matching Suggestions

Freight service is an integral part of any business that supplies or sells physical goods. Even though its importance is often hidden from consumers, the sight of trucks and cargo vans on city streets and highways can make one appreciate the extent to which freight service impacts our lives. In North America, many carriers (i.e. companies that own trucks, vans, etc.) care medium or small sized, consisting of a handful to no more than a hundred trucks in their fleet. The emergence of digital freight matching platforms helps improve the efficiencies of freight at a global level by matching smaller carriers to provide freight service across a broad network that they would otherwise have no access to. The success of a such platform requires making sound recommendations in near real-time fashion. The proposed research, in partnership with FreightPath, seeks to investigate methods for better pricing schemes and resource minimization using statistical and optimization techniques.

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Faculty Supervisor:

Kevin Cheung;Yiqiang Zhao

Student:

Partner:

FreightPath

Discipline:

Mathematics

Sector:

Transportation and warehousing

University:

Carleton University

Program:

Accelerate

COVID19 viral genome sequence analysis to track viral transmission, to understand evolution of viral genome, to develop novel diagnostic tools as well as to identify novel therapeutic targets

A comprehensive genomic study for the virus SAR-Cov-2 itself and COVID-19 patient samples will be studies analyzed to understand the nature of the virus developments, and to find genomic biomarkers that helps in diagnosing and the treatment of the disease. We will try to understand the molecular network of the virus in the body and investigate the role of the coexisting agents as well in the patient samples. The bioinformatics tools and wet-lab experiments will help us to create a pipeline to react to any similar future epidemic/pandemic. And will help the local community in Windsor, ON and in the Canada to investigate more of the nature of the pandemic itself.

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Faculty Supervisor:

Luis Rueda

Student:

Partner:

ITOS Oncology

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Development of a salmon diet using alternative protein and lipids suitable for land-based recirculation farming systems

Aquaculture feed has historically relied on fish-based protein sources to satisfy nutritional requirements for optimal growth. While plant-based proteins are increasing throughout the aquaculture industry, the need for fish protein is still present to ensure the “natural fish” taste that consumers want. Black Soldier Fly Larvae (BSFL) have been proposed as a solution to this problem as they contain the same compounds responsible for the desired taste. This project looks to determine the effectiveness of protein from BSFL and a proprietary lab-grown marine agent within Atlantic salmon feed. This will be performed over three feed trials, the first of which will be 14-weeks and undertaken during this Mitacs internship. This project will also be testing the ability of the BSFL and marine agent components in providing more solidified fecal matter for improved water quality in land-based aquaculture facilities which recirculate their water.

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Faculty Supervisor:

Stefanie Colombo

Student:

Partner:

Oberland Agriscience

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Radiation Mapping from Aerial Data

The proposed project is focused on the development of software for accurate mapping of radiation levels on the ground using aircraft or unmanned aerial vehicles (UAV) for data collection. The problem of accurate radiation mapping is crucial for handling emergency radiological incidents (e.g., on nuclear plants), monitoring national borders, operating nuclear mine sites, etc. The goal of this project is to develop a new algorithm that improves on existing methods for airborne radiation mapping with more sophisticated models and to implement the new algorithm in a software package able to build contour maps of radiation levels, possibly identify radioactive elements, and prepare the output data for use in augmented reality systems. This developed algorithm and software developed during this project will be used by the partner organization, Environmental Instruments Canada, in their UAV sensor package in order to enhance its capabilities and make it a more compelling product.

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Faculty Supervisor:

Raymond Spiteri;Andrei Smolyakov

Student:

Partner:

Environmental Instruments Canada Inc

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

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