Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Development of in-vitro models to investigate the intestinal lymphatic uptake of drugs

We aim to improve drug delivery by addressing a lack of accurate models predicting how drugs reach the body’s lymphatic system. Our innovative in-vitro models focus on understanding how drugs travel through the intestinal lymphatics. Using chylomicrons, lipid-based vesicles, our models simulate the journey of drugs from the intestines to the bloodstream. This success of this project promises valuable insights for drug development and regulatory assessments, ultimately improving treatments. The partner organization will gain valuable insights and the latest academic knowledge through our collaboration and this newfound knowledge can boost their ability to develop better products and might even speed up the process of getting approval for their products.

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Faculty Supervisor:

Neal Davies

Student:

Partner:

RS Therapeutics Inc.

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Graphene-based quantum materials for environmental applications

This Mitacs Globalink Research Award will support a research collaboration involving Imen Hemmedi, a PhD student working in the group of Dr. Nabila Bitri at the Ecole Nationale Supérieure d’Ingénieurs de Tunis and Prof. Jean-Michel Ménard at the University of Ottawa. The project focuses on leveraging the unique properties of quantum materials to explore innovative techniques addressing timely challenges in the fields of environmental monitoring and pollution control. This internship is perfectly aligned with the intern’s previous expertise in graphene-based materials and thin film fabrication and builds on advanced material characterization infrastructure at uOttawa to pursue a scalable and economically viable solution to environmental issues.
The interdisciplinary project combines thin film fabrication of quantum materials and their use in gas sensing and photocatalysis processes. A scalable spray pyrolysis deposition technique for graphene oxide and reduced graphene oxide will be implemented to produce gas sensors with high sensitivity and unique selectivity properties. We will also study the chemical storage capacity of these graphene-based materials, hence supporting Canada’s net-zero emissions goal. A time-resolved terahertz spectroscopy technique will be used to quantify the performances of these quantum materials for applications in environmental remediation.

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Faculty Supervisor:

Jean-Michel Ménard

Student:

Partner:

École Nationale d'Ingénieurs de Tunis

Discipline:

Physics

Sector:

Nanotechnology; Environmental Science and Technology; Quantum Science

University:

University of Ottawa

Program:

Globalink Research Award

Investigation of the role of convective velocities for turbulent spectrum reconstruction

Turbulent flows are complex patterns of fluid motion commonly encountered in nature and engineering applications. Turbulence involves various spatial and temporal scales of motion, making it challenging to measure accurately. This project aims to understand the nonlinear, multi-scale dynamics of turbulence. By utilizing an advection-based method, this work proposes a technique to enhance the temporal resolution of experimental flow measurements. This requires the generation of benchmark experimental Particle Image Velocimetry (PIV) datasets to obtain detailed information about the flow’s dynamics and energy transfer mechanisms. Using space-time correlations, a method will be developed to estimate the scale-dependent velocity of the turbulent structures for use in the proposed advection model. This research has broad implications, from advancing fundamental science in turbulence to practical applications like improving wind energy models. Ultimately, the project contributes to cleaner energy solutions and improved engineering practices.

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Faculty Supervisor:

Chris Morton

Student:

Partner:

Paul Scherrer Institute

Discipline:

Engineering

Sector:

Aerospace; Green/Alternative Energy; Environmental Science and Technology

University:

McMaster University

Program:

Globalink Research Award

Towards a predictive understanding of glass toughening by crystalline inclusions

Ion-exchanged or chemically tempered glass such as Corning’s Gorilla glass was a break-through in the design and production of high toughness glass. However, the pace of improvements brought in by this technology is levelling off. Recently, the industry has turned to another approach to product tough glass: the addition of small crystalline inclusions. However, this brings new challenges in predicting the impact of such inclusions on the mechanical and optic properties of materials.
The goal of this project is to conduct computational studies of the impact of crystalline inclusions on the effective fracture properties of such glasses. We will follow the formalism developed in (Hossain et al. 2014) and phase field models of fracture (Bourdin et al., 2001, Bourdin et al., 2008) to perform numerical simulation to assess how density, geometry, and size of inclusions affect the macroscopic fracture behaviour of glass.

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Faculty Supervisor:

Blaise Bourdin

Student:

Partner:

École des ponts ParisTech

Discipline:

Mathematics

Sector:

Education

University:

McMaster University

Program:

Globalink Research Award

Oscillation-based Fuel Cell Diagnostics

In this project, we propose two diagnostic tools that can identify dynamical processes in various fuel cell operating regimes, using the difference in the time constant of these processes. For example, conductive transport of electrons is faster than diffusive transport of gasses. We oscillate current and pressure at different frequencies, and measure the cell voltage. We use the amplitude ratio and phase different of these oscillations to detect dynamical processes in the fuel cells. Specifically, we are interested to study water transport in the catalyst pores and hydrogen transfer leak through membrane pinholes using pressure and current oscillations, respectively. These diagnostic tools enable Greenlight to build fuel cell test stations with enhanced capabilities.

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Faculty Supervisor:

Michael Eikerling

Student:

Partner:

Greenlight Innovation

Discipline:

Engineering

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Super Resolution Model for License Plate Recognition

Our novel method enhances low resolution images from surveillance footage and facilitates automatic recognition of license plates. Even if the frames are blurry and unclear, the proposed model can enhance while prioritizing character and text information detection. This will be beneficial to security, law enforcement and investigation agencies.

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Faculty Supervisor:

Sagar Naik

Student:

Partner:

EAIGLE Inc.

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Beyond Keywords: Semantic Search Framework for Data in Organizations

Next to its essential role of supporting operational and decisional business activities, data also has economic significance. The desire to seek maximum value from their data assets prompts organizations to implement different infrastructures, architectures, governance, and security to facilitate creating and storing huge volume and variety of data. However, these implementations come with challenges as the data is not often the main focus, and this usually makes data management and discovery difficult. The data mesh paradigm advocates for data to be decomposed around domains and served as a product for use by data users. Having data as products is posited to enable ease in data management and discovery. This also enables the application of semantic searches to data ecosystem. Integrating recent advances in artificial intelligence into semantic search mechanisms makes them great candidates to enable business to derive optimal value from their data assets. In this regard, our project’s goal is to develop a framework that utilizes ontology embeddings, vector search, and large language models (LLMs) to improve data discovery and management using semantic search. The result will be capabilities that enable organizations to manage their data products through more intelligent and customized searches of their data.

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Faculty Supervisor:

Daniel Amyot

Student:

Partner:

Accenture Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

Automated Attack Hypothesis and Testflow Generation

In the field of cybersecurity, it is increasingly important to actively find and stop security threats, a process called threat hunting. The threat hunting is often performed manually, which is a tough process the requires deep knowledge, lots of experience, and time, which can lead to missed attacks and slow responses, affecting companies and countries. This research suggests using an automated system to make threat hunting faster and more efficient. The goal is to change how threat hunting is performed by using a system that automatically creates hypotheses and test plans. It will improve how quickly and accurately threats are found and dealt with, making cybersecurity stronger. The plan is to build a new system using advanced techniques to automatically suggest possible threats from network data and user activities, then create test plans to check these threats. This system will mix methods to understand complex data and use machine reasoning to think like humans. The aim is to create a smart system that adjusts to new cyber threats…

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Faculty Supervisor:

Mourad Debbabi

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Development of a Strategy to Design and Optimize a Non-Licensed UHF Band System for Operations under Harsh Environment for Localization Applications

Two antennas will be designed at 915 MHz to be installed in a small cavity within the body of an equipment used for underground operations. The two antennas are expected to provide reasonable operating bandwidth and radiation efficiency to radiate through lossy polyurethane used for protection, metallic cavity surrounding the antennas, and the conductive equipment body. The polyurethane has a high dielectric constant which reduces the antenna size, and lossless material will also be used around the antennas to enhance its radiation efficiency. The antennas will be installed at optimal equipment positions where the radiation efficiency is sufficiently high. This project will produce a new product which can be used to localize an underground equipment as fast as possible to reduce costs and maintenance time. Also, a lot of companies will be interested in this low-cost compact product, hence, the partner’s marketing strategy will be supported and developed. Also, the research and development department of the partner organization will be improved by including the outcomes of the proposed project.

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Faculty Supervisor:

John Xiupu Zhang

Student:

Partner:

Lynkz Instruments

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

The state of literacy in Nova Scotia: an interactive dashboard

The project aims to develop an interactive dashboard to accompany a report on the state of literacy in Nova Scotia to be produced by Literacy Nova Scotia (LNS), as a means of quickly communicating key information for policy decision-makers and internal stakeholders. Through a participatory design program, we will engage with internal and external stakeholders to design a dashboard that will address the user’s information-seeking needs. In contrast with usability evaluation, we will focus on learning and comprehension as measures for evaluating the effectiveness of the dashboard. Expected outcomes will be a working dashboard for data exploration for LNS stakeholders.

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Faculty Supervisor:

Philippe Mongeon

Student:

Partner:

Literacy Nova Scotia

Discipline:

Sociology

Sector:

Education

University:

Dalhousie University

Program:

Accelerate

Leveraging AI Techniques to Analyze Corporate Documentation for ESG Indicators

Significant demand exists by society for information about how companies are conducting themselves on matters of environmental stewardship, social responsibility, and good corporate governance (ESG). Typically, however, such information is hampered by significant inconsistencies in availability, which hinders access to reliable information. Our goal in this research project is to address these obstacles faced by business, civil society, and governmental stakeholders in making informed decisions on a given company or industry. Our project will use the power of information technology to develop a software tool designed to ethically collect, organize, augment, and evaluate ESG data for a vast number of companies and industries to give a more complete picture of company/industry ESG activities. In doing so, this project addresses a significant research gap across information science and business by advancing research that provides measurable benefit to information stakeholders reliant on this data to make effective decisions

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Faculty Supervisor:

Leila Tahmooresnejad

Student:

Partner:

Rel8ed.to Analytics

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Brock University

Program:

Accelerate

The economic, environmental, and social implications of implementing smart grid management systems

Smart grid energy systems are considered the future of electrical grid management and delivery. These technologies and programs are innovative ways to ensure a reliable electricity grid, promote renewable energy, increase efficiency, and enhance consumer control. Smart grids operate as automated or computerized systems that centralize electricity grid control and ultimately provide a more resilient power grid. The research will examine how organizations, businesses, and jurisdictions can transition from a conventional grid management system to smart grid technologies. An in depth analysis will be conducted regarding government programs and initiatives to compensate parties who have invested in smart grid energy management systems. Additionally, social and environmental impacts will be assessed, on both a provincial and federal level, to determine the benefits of a transition to smart grid technology. Eco-Shift Power will gain essential knowledge of developments and market trends in an ever-evolving energy sector. The research will provide their business with relevant information on the smart grid approach, how to implement the technology, and available incentive programs. This will add tremendous value to their business model in terms of energy cost reduction, corporate social responsibility, and improving sustainability.

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Faculty Supervisor:

Ian Colquhoun

Student:

Partner:

Eco-Shift Power Corp

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Western University

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.