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

Design and Construction of a Low-Cost, High Step-Up, High Isolation AC/DC Converter

This work will develop a high voltage power supply that is lower cost than currently available systems and has the unique feature of being electrically isolated from the input, meaning that multiple supplies can be stacked to increase the output voltage. This work will be used for fusion research but may find many uses in other renewable systems.

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Faculty Supervisor:

Steve McGarry

Student:

Ghassan Arnouk;Noorain Noorani;Ruaa Abdulmajeed

Partner:

Soleinium Corp

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Rethinking Housing Market Financing in the Aftermath of COV?D-19: Lessons from and Responses to the Pandemic

As Covid-19 Pandemic shows that we are surrounded by global unforeseen risks. Housing and housing financing are significant parts of people’s life and global crises may always put people’s right to housing in danger. For this very reason, it is a necessity to look for alternative financing models for housing as affordability would decrease the potential risks that people may face in the cases of global crises. Therefore, this project aims at working on alternative financing models in order to find the most proper and the best models for creating affordable housing systems. As housing becomes affordable the society will be resilient against potential global risks.

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Faculty Supervisor:

Roger Keil

Student:

Murat Ucoglu

Partner:

Tomar Realtor Inc

Discipline:

Environmental sciences

Sector:

Real estate and rental and leasing

University:

York University

Program:

Accelerate

Development of an AI-controlled closed-loop neuromodulation system form chronic conditions

The treatment of chronic conditions accounted for 58% of the annual healthcare spend in Canada in 2012, primarily through the use of pharmaceuticals. However, these are generally best suited to treat acute diseases, as with chronic use, side effects can accumulate over time while therapeutic effects diminish. Neuromodulation of the Peripheral Nervous System (PNS) represents a promising and adaptable treatment alternative to pharmaceuticals in many cases. Such treatments are still in their infancy and are currently dominated (>99.5%) by devices utilizing open-loop stimulation with clinician-led, manual adjustment. A closed-loop system that responds to peripheral nerve activity and other biomarkers in real time would enable dose-sensitive and targeted therapies. However, closed-loop neuromodulation systems face a significant challenge; smart adaptation requires an understanding of how particular nerves encode information to govern the behavior of tissues or organs. New methods must therefore be developed to decode and harness the large volumes of highly complex information transmitted through the PNS. This project will employ the latest findings in machine learning to extract biomarkers from neural data. Semi-supervised training methods will determine how these biomarkers drive physiological responses.

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Faculty Supervisor:

Blake Richards

Student:

Luke Prince

Partner:

BIOS Health

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Connected Communities in a time of Physical Distancing: Community-led responses to the COVID-19 Pandemic in the city of Toronto.

CCPD will explore the ways that 6 Toronto communities have responded to the health, psycho-social and economic stresses that are exacerbated, amplified or created by the COVID-19 pandemic. Drawing on interviews with grassroots leaders, social service agencies, NGOs, and City staff engaged in each of 6 Neighbourhood Improvement Areas in Toronto, CCPD will explore the social infrastructure that was in place prior to COVID-19 that has enabled some communities to act together during and subsequent to the pandemic, and what communities identify as a lack of social infrastructure that made community-led responses difficult or impossible during and post COVID-19.

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Faculty Supervisor:

Blake Poland

Student:

Garrett T Morgan

Partner:

Tides Canada

Discipline:

Geography / Geology / Earth science

Sector:

Other services (except public administration)

University:

University of Toronto

Program:

Accelerate

Development of an Al-controlled closed-loop neuromodulation system form chronic conditions

The treatment of chronic conditions accounted for 58% of the annual healthcare spend in Canada in 2012, primarily through the use of pharmaceuticals. However, these are generally best suited to treat acute diseases, as with chronic use, side effects can accumulate over time while therapeutic effects diminish. Neuromodulation of the Peripheral Nervous System (PNS) represents a promising and adaptable treatment alternative to pharmaceuticals in many cases. Such treatments are still in their infancy and are currently dominated (>99.5%) by devices utilizing open-loop stimulation with clinician-led, manual adjustment. A closed-loop system that responds to peripheral nerve activity and other biomarkers in real time would enable dose-sensitive and targeted therapies. However, closed-loop neuromodulation systems face a significant challenge; smart adaptation requires an understanding of how particular nerves encode information to govern the behavior of tissues or organs. New methods must therefore be developed to decode and harness the large volumes of highly complex information transmitted through the PNS. This project will employ the latest findings in machine learning to extract biomarkers from neural data. Semi-supervised training methods will determine how these biomarkers drive physiological responses.

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Faculty Supervisor:

Blake Richards;Guillaume Lajoie

Student:

Luke Prince;Olivier Tessier-Larivière

Partner:

BIOS Health

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Demand estimation in consumer-packaged goods market using BLP method

Leveraging the entirety of point of sale and loyalty data collected across a category, as well as additional socio-economic and other supporting data sources, apply statistical modelling to identify the own-price elasticity of demand and cross-price elasticity of demand at regular and promoted price points across Unilever’s portfolio within that category. Subsequently measuring the promotional cannibalization of Unilever’s temporary price reduction activities across the market to assess the promotional events with the highest return on investment and revenue optimization potential.

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Faculty Supervisor:

Ricardas Zitikis

Student:

Lingzhi Chen

Partner:

Unilever Canada Inc

Discipline:

Statistics / Actuarial sciences

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Data Ethics & Privacy by Design: Unlocking Health Innovation

Healthcare innovation is a major focus across Canada and the globe. It can be defined as, “activities that generate value in terms of quality and safety of care, administrative efficiency, the patient experience, and patient outcomes. Efforts are underway to transform health care by leveraging technology and data so that Canadian provinces and territories promote efficient use of limited resources and blaze the trail for new medical treatments and services. This shift has resulted in exciting innovations and the emergence of numerous health-related commercial companies and start-ups across Canada.
Additionally, big data demands, as well as the increasing commoditization and economic value attributed to health and health data is on an upward trajectory with no indication that it will slow down or decrease.
The commercialization benefits of data have pushed privacy boundaries and tested consumer trust at new heights, both within Canadian healthcare and elsewhere in the world.
This proposal addresses the need to implement ethics and privacy design to unlock health innovation. Privacy and data ethics will be explored and will include ethical approaches for health innovation by exploring a big data, commercialization, artificial intelligence & emerging devices and technologies.

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Faculty Supervisor:

Tom Cooper

Student:

Angela Power

Partner:

BreatheSuite

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Reviewing the effectiveness of video as a means of delivery and consumption of macro data in digital media

The goal of the project is to evaluate the effectiveness of video as medium of delivery and consumption of large quantities of digital information. The team will create an automated way to generate videos for properties and rental information so as to reduce costs on manual video creation and build user profiles based on smart questions to present tailored information based on users’ needs in a video format. Through researching, implementing technologies, designing analytics tools and developing a prototype we hope to evaluate the effectiveness of dynamic video information delivery. The benefit to Roomview Technologies Inc. is relevance through innovation in understanding user behavior and improving user experience to be competitive in the market.

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Faculty Supervisor:

Richard Smith;Thomas Davidoff

Student:

Tristen Steeves;Jatin Sharma

Partner:

RoomView Technologies Inc

Discipline:

Other

Sector:

Real estate and rental and leasing

University:

Program:

Accelerate

A Survey on Application of Visualization and AI Algorithm-Driven Technology for Healthcare

Healthcare facilities collect and produce vast amounts of clinical-relevant data. Various AI-related methods (like computer-aided detection for mammography and the learning and visualization of clinical pathways) are applied to healthcare these days, and visualization techniques are also used to support clinicians due to the complexities of clinical data. This self-contained survey focuses on the assessment of healthcare providers’ acceptance of and interaction with the AI algorithm-driven technology, along with the related visualization methods used in practice.
Historically, researchers have been concerned about the trust issue in computer-aided healthcare. For this reason,clinicians’ aversion and appreciation about algorithmic approaches in this field has been widely discussed. Some published studies have investigated physicians’ attitudes about technologies driven by AI algorithms, and generally, medical professionals seem to be somewhat skeptical about how well AI algorithms can perform in diagnostic tasks. Also, studies have been done on how healthcare providers indeed interact with algorithmic support systems in prognosis, diagnostics, and treatment recommendations, along with the visualization skills that are applied in practice.

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Faculty Supervisor:

Marzyeh Ghassemi;Fanny Chevalier

Student:

Minfan Zhang

Partner:

Vector Institute

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Effectiveness of using Engineered Floating Treatment Wetlands to reduce nutrients, pharmaceuticals, and antibiotic resistant bacteria and genes in wastewater

This proposed project will asses the effectiveness of Engineered Floating Treatment Wetlands (EFWs) for nutrient, pharmaceutical, and Antibiotic Resistant Gene (ARG) reduction in municipal wastewater treatment sewage lagoons. The project will involve controlled smaller scale experiments and a pilot scale real-world study conducted at the Village of Dunnottar sewage lagoon. Floating treatment wetlands will be planted with local aquatic plant species, and a controlled section of Dunnottar’s secondary treatment cell will be established for monitoring. This study will provide unique and original research related to EFW biological treatment of wastewater effluent broadening IISD’s larger Bioremediation research program, and as a companion study to the larger oils spill remedation study at the IISD-ELA research facility. If proven, these systems could be a cost-effective biological treatment solution for most rural wastewater lagoon systems to reduce contaminant discharge, meet required provincial regulations, and protect the health of aquatic systems such as Lake Winnipeg. Research done in Manitoba has potential for impact across Canada and globally.

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Faculty Supervisor:

Nazim Cicek

Student:

Kenton McCorquodale-Bauer

Partner:

International Institute for Sustainable Development

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Control of Line Complications with KiteLock (CLiCK) in the Intensive Care Unit

A central venous catheter (CVC) is a thin, silicone tube that a doctor may insert into the vein of a patient to deliver medications directly into their bloodstream. If the patient does not need constant medication, nurses fill the CVC with salt water to keep the tube open. This is called ‘locking’ the CVC.
Because a CVC is a foreign object introduced into the body, it may put already vulnerable patients at risk of developing complications such as infection and blood clots. Although locking with salt water keeps the CVC open, it offers little protection from CVC complications.
We propose partner with SterileCare Inc. to investigate a novel locking fluid with additional protective properties in intensive care patients. We will compare CVC complication rates to those treated with standard salt water locks in multiple hospitals. This will aid SterileCare Inc. in testing their product in a patient population they have not yet studied.

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Faculty Supervisor:

Steven Reynolds

Student:

Marlena Ornowska

Partner:

SterileCare Inc

Discipline:

Kinesiology

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Computational Biochemistry Platform for Crop Health

The global population is rising, generating a need to produce more food to feed the world. Along with climate change, the food crops across the world are facing growing challenges from pests, pathogens and viruses that attack and destroy crops. In Canada, we export more than $7 billion worth of wheat every year. The Terramera-led Computational Biochemistry Platform project is tackling this crop loss with a research consortium bringing together 9 companies and research organizations. Simon Fraser University is an integral part of the consortium. The interns funded by the project will work on cutting edge technologies involving Artificial Intelligence, Machine Learning, Robotics and Plant Pathology to accelerate research towards safer and cleaner pesticides for a sustainable future. Terremera will be able to develop a state of the art computational platform to significantly accelerate research aimed at reducing the synthetic pesticides required for sustainable food production.

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Faculty Supervisor:

Ghassan Hamarneh;Mo Chen;Martin Ester

Student:

Oliver Snow;Atia Hamidi Zadeh;Dorsa Dadjooitavakoli;Atefeh Sahraeekhanghah;Lu Liu;Payam Nikdel;Darren Sutton;Carolina Partida Bujanda

Partner:

Terramera Inc

Discipline:

Computer science

Sector:

University:

Simon Fraser University

Program:

Accelerate

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