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

Real-time Transcription and Knowledge Extraction of Video Consults

Dialogue is Canada’s leading telemedicine provider, founded to improve well-being by using technology to deliver excellent care. Dialogue is a pioneer of virtual health care dedicated exclusively to organizations that want to improve the health and well-being of their members and families. We provide effective health solutions through outstanding health care experiences and a focus on patient safety.
The project consists of the following:
Build a production application that will be able to do real-time transcription of the video consultations in Dialogue’s systems (video and EMR).
Build a knowledge extraction model (entities and intents) that is run against this real-time transcription to structure the data, filter it and store it in the proper section of the EMR.

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Faculty Supervisor:

Siva Reddy

Student:

Partner:

Dialogue Technologies Inc.

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Artificial Intelligence

University:

McGill University

Program:

Accelerate

Gulo Gulo Vision-based navigation for autonomous vehicles

The Gulo Gulo project objective is to improve the navigation algorithm utilized by the onboard motion sensors of AV/CVs to achieve positioning accuracy of less than 1% of the distance travelled with standalone INS solutions. The standalone solution will be aided with visions sensors (camera, LIDAR and RADAR) in addition to integrated system fusion with AI HD map-aiding visual odometry solution.
The solution will be 5G ready so that, in the future, the whole computation effort can be done on the cloud and will not depend on powerful local GPUs.
Utilizing the intern’s research and development efforts in navigation and HD mapping, the partner organization , METI, will be able to achieve the project objectives, attract business partners, expand to and compete within the automotive industry.

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Faculty Supervisor:

Yang Gao

Student:

Partner:

Micro Engineering Tech Inc.

Discipline:

Engineering

Sector:

Technology; Automotive; Transportation (excluding aerospace)

University:

University of Calgary

Program:

Accelerate

Material and Structural Performance of Nano-Carbon Based Ultra-High-Performance Fiber Reinforced Concrete

This research aims to thoroughly evaluate a new revolutionary generation of advanced cementitious materials: CNF-UHPFRC. It is composed of several phases that target to assess this competitive material at several levels and optimize it. One of its important and distinctive aspects is to tailor its constituents, correspondingly price, for each specific application, while maintaining the outstanding mechanical strength.
Another important aspect is the material behaviour at the structural level. This will be assessed by adopting the UHPFRC material in a new seismic strengthening profile. The strengthening will be applied to an RC circular column. Promising results and superior member’s performance are expected, as well making a print in the world of material and strengthening applications.
The conducted research in all of its aspects will be able to comprehensively determine the weakness and strength points of this material, in order to address them in future research. The partner organization as a result will be able to promote this product confidently in the Canadian and international markets.

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Faculty Supervisor:

Raafat El-Hacha

Student:

Partner:

ceEntek

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Calgary

Program:

Accelerate

Numerical and Experimental Investigation of Drive Motor Thermal Performance

This research project is related to the development of innovative solutions to enhance thermal performance of self-contained DM systems. The project will be carried out in collaboration with Van der Graaf Inc. (VDG), which is a Canadian company located in Brampton, Ontario. A long-term plan has been developed by the applicant and the industrial partner. The main objective is to help VDG produce DM systems with superior thermal performance capability and equipped with in situ sensors providing the user with live data about the overall thermal performance of the system. Undoubtedly, this technology has the potential to be a disruptive innovation for the drive motor industry, which would put VDG ahead of their international competition. The first phase of this long-term plan is the research proposed in this application which focuses on understanding and modeling thermal performance of DM systems.

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Faculty Supervisor:

Mohamed Hamed

Student:

Partner:

Van der Graaf Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

CanGo- An Empowering Wayfinding Tool for Persons with Disabilities

For many persons with disabilities, for example those living with cognitive or visual
impairments, it is often impossible to drive a personal vehicle and to travel
independently, whether to school, to therapy, to their work place or to visit their friends.
Because of their challenges, they must rely on caregivers or family members for transport,
or use disability transport services that are often limited and quite unreliable. In many
cases, those with disabilities lack the confidence to use public transit systems moreover,
their parents or caregivers are often very wary ofletting them travel by themselves.
Our research will involve extensive engagement and consultation with users, the
development of a range of customized tools e.g. tools that provide alerts or notifications
to users and caregivers. The adoption of Can Go could lead to huge benefits and reduced
costs to individuals with special needs (through their increased independence), their
families and caregivers, and to support services.

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Faculty Supervisor:

Yvonne Coady;Fayez Gebali;Stephen Neville

Student:

Partner:

CanAssist;IBM Canada Ltd (Saanich, BC)

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

University of Victoria

Program:

Accelerate

Responsive polymer-based sensing system for COVID-19 infection

Monitoring hormone levels in saliva can be used to assess female reproductive health, which can yield many benefits to individuals. For example, those that have fertility issues can use hormone levels in saliva to improve their chances of conception, while the monitoring hormone levels over time could also be used to track and help treat disease. The project proposed here will yield a simple, and inexpensive tool that can be used at home (not in a clinic) to allow one to monitor hormone levels in saliva over time, e.g., daily. The development of this technology will provide a unique experience for the interns as it is at the intersection of technology development and human health.

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Faculty Supervisor:

Michael Serpe

Student:

Partner:

Eli Health

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Exploring the state of the art deep learning algorithms in computer visionand voice recognition for applications in RF signal processing

Drones popularity has been rapidly increasing for a wide class of applications including commercial delivery, photography, fire-fighting and environmental monitoring due to their low cost and high commercial availability as unmanned aerial vehicles. In the light of this growth, anti-drone technology has become a significant research topic of investigation due to unauthorized flying of drones in sensitive airspace where their presence is regarded as a potential threat. In this project, we will modify and use existing well-established computer vision and voice recognition deep learning models for signal classification to remotely detect the presence of rogue drones in the air. We will analyze several datasets of radio signals transmitted by popular drones in the market to extract unique fingerprints hidden in the drone signals. Deep learning models will be designed to make use of the extracted fingerprints for detecting the presence of a drone signal.

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Faculty Supervisor:

Ian Frigaard

Student:

Partner:

Skycope Technologies Inc

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Énergie transactionnelle et client participatif : portrait des initiatives extra-Québec

Partout à travers le monde, le marché de l’énergie se renouvelle constamment afin d’assurer une bonne efficacité et fiabilité. Qui plus est, des citoyens choisissent d’être plus proactifs et autonomes par rapport à leur consommation d’énergie en la produisant eux-mêmes (prosommateurs). Parmi les stratégies émergentes sur le marché, les échanges d’énergie en pair à pair (P2P), en communautaire et dynamiquement vers l’opérateur de réseau, qualifiés d’énergie transactionnelle se taillent une place importante, car elle permet aux clients de produire, emmagasiner et vendre sa propre énergie. Considérant l’ampleur que prennent différentes initiatives de citoyens innovateurs, Hydro-Québec souhaite comprendre les perceptions de ses clients participatifs par rapport à ce nouveau phénomène, afin de mieux préparer son arrivée sur le marché de l’énergie transactionnelle. Cette première phase vise à faire le portrait des connaissances actuelles sur l’énergie transactionnelle en recensant les expériences extra-Québec et les modalités qui ont été mises en place pour favoriser la participation des clients.

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Faculty Supervisor:

Dany Lussier-Desrochers

Student:

Partner:

Hydro-Quebec (Shawinigan, QC)

Discipline:

Sociology

Sector:

Professional, scientific and technical services; Utilities

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Waste Heat Recovery for High Energy Efficiency: Simulation-Based Analysis and Design

Combined heat and power generation (CHP) is an efficient method of recovering waste heat of flue gas in internal combustion engines. CHP using natural gas (NG CHP) is actually a NG power generator combined with a waste heat recovery (WHR) system. The by-product heat from the electricity generation is captured by passing the high temperature flue gas through a heat exchanger, referred to as heat recovery unit (HRU). In collaboration with FEED engineering, whose area of expertise is design and analysis of energy systems, we intend to develop an innovative heat exchanger design to recover the waste heat of flue gas at the high and medium temperature ranges. The developed heat exchanger design will be part of a HRU which will be integrated into a WHR system. We also aim to establish an enduring partnership with FEED for future collaborations in designing, fabrication and test of an advanced WHR system (SmartGen).

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Faculty Supervisor:

Joshua Brinkerhoff;Abbas Sadeghzadeh Milani;Sunny Ri Li

Student:

Partner:

FEED Engineering

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Tackling the challenge of graph comparison in genomics

This project involves the design and development of a Visual Analytics (VA) tool that will allow
analysts to quickly expose relationships and regions of interest in very large data sets that encode
complicated graphs and networks. The tool’s development will be guided by frequent interviews with
analysts at Aeroinfo/Boeing and the BC Cancer Genome Sciences Centre (GSC), in an effort to
develop a system that will help them assemble genomic data, and discover potentially meaningful
relationships in the cell’s regulatory machinery. Although the domain of application is biological,
graphs and networks are prevalent across fields as diverse as financial systems analysis, social
network analysis, and communications network analysis. Special care will be taken during the course
of the project to ensure the developed VA system will generalize to analysis of multiple domains given
suitable, analyst-specified settings or parameters….

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Faculty Supervisor:

Tamara Munzner

Student:

Partner:

Boeing Vancouver (Richmond, BC)

Discipline:

Computer science

Sector:

University:

The University of British Columbia

Program:

Accelerate

Geological and Geochemical Controls on the Source of Hydrogen Sulfide (H2S) in the Early Triassic Montney Tight Gas Reservoir, Northeast British Columbia, Canada

The Montney Formation in the Western Canadian Sedimentary Basin (WCSB) is a productive low permeability natural gas reservoir. Alongside natural gas, it contains high concentrations of hydrogen sulfide (H2S) gas, which is both economically and environmentally detrimental to the exploration and production of natural gas from the reservoir. This research proposal aims to examine the source(s) of the H2S in this reservoir in northeast British Columbia and the geological and geochemical conditions in which H2S gas has formed in or migrated into this reservoir. Identifying the source(s) of H2S and the conditions in which it has formed or migrated will result in the increased commercial value of natural gas, reduced environmental impacts, better management and informed planning of future exploration and production stages, and prediction of H2S occurrence at undrilled prospects.

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Faculty Supervisor:

Per Kent Pedersen;Omid Haeri Ardakani

Student:

Partner:

PETRONAS Canada

Discipline:

Earth science

Sector:

Mining

University:

University of Calgary

Program:

Accelerate

Mechanical design and improvement of a Mobile Polygeneration Pyrolysis Plant

Biomass wHh little or no commercial value Is often produced as by-products from sawmills
and commercial agricultural activity. The use of this biomass for energy generation can offset
the need forfosall fuels thereby contributing to reductions In Green House Gas (GHG)
emissions. However for biomass to substitute fuels such as natural gas, It needs to be
transformed to gaseous form through Pyrolysis. Canadian Agrlchar Inc. (CAl). has designed a
prototype of a Mobile Polygeneration Pyrolysis Plant (MPPP). In the next phase of the project,
a scaled-up pilot plant will be built and operated at a saw-mlllin Grand Forks. The pilot plant
would utilize woody biomass consisting of saw dust and milling residues to generate export
gas to be used to fire a lumber drying kiln. The resulting Blochar-charcoal will be sold to
customers in the horticulture Industry, (I.e. Commercial greenhouses, tree nurseries, and
florist greenhouses). CAl needs the assistance of an Intern through the Mitaca Accelerate
program In order to…TOBECONT’D

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Faculty Supervisor:

Krishna Vijayaraghavan

Student:

Partner:

Canadian Agrichar Inc

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

Simon Fraser 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.