Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Developing a hybrid optimization model for matching and pricing strategies in an intelligent freight transportation platform under uncertainties

The freight industry market is complex and dynamic and has many challenges such as inefficient operations, coordination issues, lack of shipment visibility, market volatility, cargo thefts, road incidents, and quality assurance of sensitive products. Recently, the COVID-19 pandemic situation has brought new difficulties to the freight industry in Canada and worldwide. An intelligent platform for proactive operations with predictive intelligence capability is needed to manage the dynamics and complexity of freight transportation and provide mitigation strategies for the different risks and disruptions factors. In this research, a hybrid model will be developed to improve the delivery time and the quality of services in the logistics platform under uncertainty. This model integrates the real-time data to jointly optimize matching and pricing strategies considering the risks and uncertainties in the dynamic freight marketplace.

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Faculty Supervisor:

Samira Keivanpour;Maha Ben Ali

Student:

Partner:

ShipHaul Logistics Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

Polytechnique Montréal

Program:

Accelerate

An efficient and secure data science platform for COVID-19 cases and other related health data

The COVID-19 crisis has developed, and not unjustifiably, a strong data aspect, requiring to handle, store and exchange large amounts of data in an efficient and secure way, not only among hospitals and clinics, but also between government services globally. In this project, we propose the development of an extendible prototype of a big data platform for COVID-19 data. We focus on the scalability and the security of this platform, by employing novel technologies, such as NoSQL databases, MapReduce analytics and Blockchain. We will present this platform in the context of COVID-19 cases with underlying conditions (focusing on addiction and communicable diseases). CMUQL, the project partner, will benefit from the platform to perform current and future epidemiological research at scale in a secure and efficient manner.

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Faculty Supervisor:

Marios Fokaefs;Madeleine Durand;Bram Adams

Student:

Partner:

CMU du Quartier Latin

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

Polytechnique Montréal; Université de Montréal

Program:

Accelerate

Marine based antiviral coatings with biomask applications towards SARS-CoV-2 virus

The research project we have undertaken alongside Clean Valley Biofiltration CIC is a novel solution to the highly inflated cost of face masks and other hospital PPE gear in the face of the Covid-19 pandemic. Our objective is to create a biomask and other PPE using an antiviral compound derived from a Canadian sourced marine algae. Clean Valley has been developing a version of the biomask fabric and is looking to systematically assess and improve the antiviral efficacy of the biomask. This research will benefit Clean Valley by allowing them to patent this solution and license it to PPE manufacturers in Canada. In turn, our project will offer first responders and healthcare professionals in Canada supplies that Canada can make, design, and create.

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Faculty Supervisor:

Ravi Selvaganapathy;Balakrishnan Prithiviraj

Student:

Partner:

Clean Valley CIC

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Extraction, chemical analysis, and formulation development of potential anti-viral plant isolates against SARS-CoV-2

The COVID-19 pandemic has had broad global ramifications and preventative strategies and treatments for the virus are crucial. PBG BioPharma has developed two plant-based isolates, PBG-005 & PBG-007, that have shown innate immunological properties, potentially usable in the treatment or prevention of multi-viral infections. This research proposes leveraging PBG-005 & PGB-007, as well as PBG’s newly-completed GMP-compliant manufacturing facility and laboratories, to develop, formulate, and product anti-viral products which may be effective in treating SARS-CoV-2. This project will not only assist PBG BioPharma in creating anti-viral formulation and products, which will in turn bring great economic benefits, but will also provide a potential method and treatment of SARS-CoV-2 directly or as an adjunct therapy under the current rapidly evolving epidemiological situatio

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Faculty Supervisor:

Jie Chen

Student:

Partner:

PBG BioPharma

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Novel service delivery models for children with neurodevelopmental disabilities and their families in light of the COVID-19 pandemic

COVID-19 has changed the way we access services in the community. Many services are now being offered online or over the phone instead of in a building. While this works for some families, families who are new to Canada, do not speak English, and don’t have access to technology may not be able to receive services during the pandemic. Children with brain-based disabilities may have difficulty with their behaviour, paying attention, and socializing with other children. This can add extra stress to parents during the COVID-19 pandemic. In this research project, we will speak with and ask questions of families, government representatives, and people who provide services to young children with brain-based disabilities. Results will be used to make recommendations as to how we can provide better service to families with young children with brain-based disorders during the COVID-19 pandemic.

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Faculty Supervisor:

Sarah Macoun

Student:

Partner:

Child Development Foundation of British Columbia

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Victoria

Program:

Accelerate

Ville connectée et résiliente – Part 1

Contribuer à optimiser le marché de l’assurance via des outils numériques novateurs et l’intelligence artificielle pour la détection proactive de risques potentiels.

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Faculty Supervisor:

Sebastien Tremblay

Student:

Partner:

Domely Technologies

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Overcoming the Challenge of COVID-19: How entrepreneurs in Rural NL can understand and face the pandemic

The response to COVID-19 and stay-at-home orders have led to skyrocketing unemployment and various economic impacts. Entrepreneurs are coping up with challenges and conflicts that require solutions to sustain rural communities. With researchers based in Grenfell Campus, Memorial University (MUN) of Newfoundland in Newfoundland and Labrador (NL), this study will focus on how enterprise hubs could help entrepreneurship development in rural communities. With the support of personnel at the partner institution, the researchers will identify the assets contributing to entrepreneurship initiatives in rural communities, establish an enterprise hub in a pilot community to build capacity, and evaluate and analyze the impact of the enterprise hub. The research results will bring out the feedback, thoughts, and experiences of the entrepreneurs within the community to ensure that their feedback is mapped out in decision making on new policies, procedures and reforms post pandemic COVID-19.

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Faculty Supervisor:

Kelly Vodden

Student:

Partner:

CBDC NORTIP

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Filling the learning gaps caused by the pandemic: Supporting teachers and their diverse students with digital technology

The closure of schools across Canada during the COVID-19 pandemic has revealed significant gaps in educational provision. In addition, K-12 teachers have had difficulty finding learning resources related to the programs they are responsible for teaching. When students fall behind in school, they develop a learning gap with their peers. Learning gaps are relatively common and invariably require, at some point, a strategy to help the student catch up. In this project, we will examine the feasibility and effectiveness of implementing an innovative online tool that addresses the common challenge of the learning gap in education. We will explore how this innovative online platform can support the accelerated catch-up phase of students with a learning gap and strengthen the digital skills of teachers.

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Faculty Supervisor:

Emmanuelle Le Pichon-Vorstman;Joyce Mgombelo

Student:

Partner:

Binogi Studios Inc

Discipline:

Sociology

Sector:

Education

University:

Brock University; University of Toronto

Program:

Accelerate

Myant Response To COVID-19 Pandemic – Research and Technology Development for Smart Textile Solutions

A textile-based solution to remotely and continuously monitor COVID-19 symptoms
Myant proposes to create a wearable textile solution with a compact electronic module able to record ECG, breathing movements, chest motion and sound, skin temperature, and blood pulse (oximetry and pulse shape to estimate blood pressure) in order to monitor key physiological metrics for individuals with and without Covid19, from their residence, geriatric care, or hospital ward, and communicate those metrics to health care professionals to detect health changes and support medical decision.
Building A Novel, Innovative, Scalable and Sustainable Canadian Filtration System for PPE Facemasks
Develop and scale the manufacturing of PPE surgical masks and N95 respirators that are washable and reusable, utilizing multi-layer filtering, anti-viral, and anti-bacterial fabrics. They are knitted using automated robotic machinery with N95 equivalent textile structures introduced in the production of the mask, minimizing post processing and additional labour or materials. As part of this project the developed solutions will be tested and validated to ASTM F2100 standards/specs.

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Faculty Supervisor:

Nasser Ashgriz;James Tung;Sarah Sabatinos;Tom Chau;Sara Diamond

Student:

Partner:

Myant Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Ontario College of Art & Design University; Toronto Metropolitan University; University of Toronto; University of Waterloo

Program:

Accelerate

Up-scalable production of high efficiency perylene diimide (PDI)-based organic light emitting devices using slot die coating methods

With respect to large-area display applications, it is desirable to have not only the active layers but also the electrodes in the OLEDs that can be formed by solution fabrication process. To address the manufacturing challenges of high-performance OLEDs, several scalable techniques such as doctor blading, ink-jet printing, and ultrasonic spray coating have been developed or employed. Hence, OLEDs provide a wider scope for researchers to either develop or demonstrate a variety of new methods that are cost-effective, large-area, and roll-to-roll (R2R) compatible, and more importantly, have excellent efficiency.
As OLEDs technology becomes more established, further improvement in device performance can be expected. However, successful and timely commercialization of this technology to replace already-existing but expensive LCD technologies depends on how some of the critical issues, such as (1) providing strategies for optimization of OLEDs, (2) combining facile synthetic methods with greener processing for efficient polymer-perylene diimide based OLEDs and (3) employing efficient, high performance slot die coating technology for OLED applications, are addressed.

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Faculty Supervisor:

Gregory Welch

Student:

Partner:

LED Sign Supply

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Calgary

Program:

Accelerate

Secure Infrastructure for Improved Logistic and Communication in Healthcare Facilities Dealing with COVID-19 Patients.

The ability of the health system to manage a massive influx of patients such that caused by the COVID-19 spread is based on the combination of four factors: the personnel, the equipment, the physical spaces and the system in place. A combination better known in jargon as the 4 “S” (staff, stuff, structure / space, system). A fifth factor that is often misunderstood is synchronicity. With great adaptation to the workspace and team structures, a newly trained staff with new equipment, and a system of critical processes that evolve according to the evolution of the environment and the healthcare system status, synchronicity is essential. This synchronicity requires real time data and automations to enable already pressured teams and a stressed healthcare organization to adapt to unforeseen requests and needs, as well as to respect additional procedures and protocols such those implemented during the COVID-19 crisis.
In this project, we want to study the automated verification and deployment of a Command, Control, Communications, Computers (C4) infrastructure to improve communications and logistics in healthcare facilities treating COVID-19 patients. The assistance of such a flexible ICT infrastructure can play a key role in successfully implementing the fifths “S” within medical personnel operations.

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Faculty Supervisor:

Gabriela Nicolescu

Student:

Partner:

Humanitas Solutions

Discipline:

Computer science

Sector:

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

University:

École de technologie supérieure; Polytechnique Montréal

Program:

Accelerate

Future Safe: Designing Efficient Face Masks in the Era of COVID 19

With the surreal times we are living in the context of Covid-19, wearing face masks has become a global public necessity. While many people are wearing face masks, not all masks are created equal. From very expensive high-tech respirators with multiple layers of filtration, to homemade face masks using less than ideal fabrics, the general public has become aware that covering their faces is a big factor that can reduce contagion. For the general public, effective face masks are difficult to breathe in, and those that let too much air flow are not effective. Our interdisciplinary research team from Engineering, Fine Arts and Arts and Science is aiming to design efficient face masks that without compromising comfort. The partnership unites strengths from Concordia’s Filtration Aerosol Laboratory, the Milieux Institute for Art, Culture and Technology and IRSST to follow three streams of inter-related research: Mask Design, Materials Exploration and Public Pedagogy.

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Faculty Supervisor:

Ann-Louise Davidson

Student:

Partner:

IRSST

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Technology; Education; COVID-19 related Research and Solutions

University:

Concordia 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.