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

Implementation and evaluation of a surface estimation algorithm to modify the control of ADAS features

Road departure is a critical factor in vehicle accidents, which could happen as a result of a driver’s impairment or lack of attention, or the road surface condition due to inclement weather. Therefore, it has been a high priority for the automotive industry to improve advanced systems for stability and path control. GM novel approach aims to use a control method to maintain a vehicle in the intended path during automated braking, while the deceleration and collision prevention is optimized. The proposed research will generate a simulation platform to verify the performance of such a control system for different road surface conditions and driving scenarios. The insight from this study helps to improve the safety of motor vehicles and all road users. The partnership of the academic researchers and GM engineers will facilitate knowledge transfer between academia and industry and assure smooth and rapid commercialization of the intellectual property.

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Faculty Supervisor:

Martin Agelin-Chaab

Student:

Shabnam Pejhan

Partner:

General Motors Canada Ltd.

Discipline:

Engineering - mechanical

Sector:

University:

Ontario Tech University

Program:

Accelerate

Multi-modal learning of human pose representation for conditional motion synthesis

The goal of the project is to generate realistic human movement in 3D animations. This is important to make movement animations in games and movies appear real. Typically, creating high quality animations is a resource and time consuming process that requires the participation of human actors in motion capture sessions. In this work, we present a data-driven approach that aims to generate novel animations based on a library of past motion capture recordings that can make generating high quality animations low cost and fast by eliminating the need to record human actors. Our proposed method leverages state-of-the-art machine learning algorithms and Unity’s high-quality motion capture data to generate 3D human movement.

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Faculty Supervisor:

Mark Coates

Student:

Antonios Valkanas

Partner:

Unity Technologies

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

STRATUM: A Digital Field Notes Tool for Archaeologists

Under the Lab2Market Program, the intern will develop and test a field notes tool called STRATUM to alleviate stresses caused by documentation in the field. The tool development will be guided by the results of three studies: 1) a qualitative investigation of user needs and sources of stress (already underway); 2) a preliminary survey of the archaeological community of Canada and the US evaluating incidence of burnout (the main focus of this internship); and 3) a mixed-methods study evaluating the effect of a digital tool on burnout rates and stresses on archaeologists in the field, to be conducted upon completion of the first two studies.7.3.

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Faculty Supervisor:

Scott Bateman

Student:

Cora Woolsey

Partner:

Springboard Atlantic

Discipline:

Anthropology

Sector:

Professional, scientific and technical services

University:

University of New Brunswick

Program:

Accelerate

Developing an aptamer, graphene based electrochemical biosensor for early detection of Alzheimer disease.

At least 50 million people are living with Alzheimer disease (AD) worldwide and the number is estimated to grow to 150 million by 2050 making it a global epidemy. AD in the sixth cause of death in north America and its estimated cost of caring is $277 billion yearly, yet no cure is available for AD. This is partly because current diagnostic techniques are expensive- ranging from $1500 to $6000- or invasive- require lumbar punctures-, which makes early screening and disease monitoring difficult. In this work we would develop a cost-effective and non-invasive biosensor, capable of detecting multiple biomarkers from blood samples of preclinical and clinical AD patients.

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Faculty Supervisor:

Mahla Poudineh

Student:

Fatemeh Keyvani

Partner:

Health Message Technologies

Discipline:

Other

Sector:

Other

University:

University of Waterloo

Program:

Examining the effect of biochar on C sequestration, greenhouse gas production, and soil biogeochemistry in different agricultural operations in Alberta

Application of biochar to enhance the growth of crops and final yield in agriculture has received a lot of attention recently, while the benefits to environment through deceleration of carbon loss and greenhouse gases leading to control climate changes and global warming are poorly understood. This study focuses on possible changes of biochar on carbon content, greenhouse gases, physicochemical properties, and microbial structure of the soil in Alberta. To investigate effects of biochar on carbon storage in arable and forest soils, respiratory losses of soil and biochar carbon and mean residence time of biochar, an isotopic method will be used. Important types of green house gases will be collected their concentrations could be measured by different experimental analytical methods. Chemical properties of the soil will be evaluated as well as nutrients before and after addition of biochar. Finally, Extraction of phospholipid fatty acids from soil before and after incubation with biochar is a method to study possible changes in microbial biomass (fungal and bacterial).

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Faculty Supervisor:

M Derek MacKenzie

Student:

Mohammad Khodaei

Partner:

Innovative Reduction Strategies Inc

Discipline:

Resources and environmental management

Sector:

Administrative and support, waste management and remediation services

University:

University of Alberta

Program:

Accelerate

Adaptive multi-horizon models for probabilistic demand forecasting

This project aims to develop an itinerary demand forecasting model that can handle long-term and short-term forecasting and adjust its parameters under changing situations. General long-term prediction models are relatively precise because the context often remains stationary over time, but can not quickly adapt to unforeseen events, like the global pandemics. It is necessary to develop an adaptive model with multi-horizon perspectives. The model will integrate external data sources to output a plausible range of future booking status. With the
understanding and results achieved by this project, accurate and real-time improvement solutions could be proposed and implemented. Therefore, it makes economic sense to understand the customer’s travel behaviors and then adjust the retail practices if unforeseen events occur. This project is expected to produce practical results benefiting the public in improved customer experience, increased incomes, analysis of COVID-19 impacts, etc.

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Faculty Supervisor:

Lijun Sun

Student:

Dingyi Zhuang

Partner:

ExPretio Technologies Inc

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Wije’winen – Envisioning the New Mi’kmaw Friendship Centre through Participatory City and Principles of Reconciliation

The Mi’kmaw Native Friendship Centre (MNFC) in Kjipuktuk / Halifax, Nova Scotia is building a new centre and is designing the space to provide programming and services that will substantiate reconciliation for urban Indigenous communities. In order to engage the diverse populations residing in the North End neighbourhoods of Kjipuktuk / Halifax, the MNFC is undertaking ground breaking community engagement activities utilizing the Participartory City platform to ensure the new centre is mafde by everyone for everyone. This research will document this approach in order to analyse and evaluate its efficacy for driving systemic change, building relationships grounded in reconciliation principles and leading to sustainable Indigenous governance in urban settings.

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Faculty Supervisor:

Leslie Jane McMillan

Student:

Chloe Walker

Partner:

Mi’kmaw Native Friendship Society

Discipline:

Other

Sector:

Other

University:

St. Francis Xavier University

Program:

Accelerate

The Economic Transitions of Refugees Resettling in Rural Nova Scotia Since 2015: Learning from Refugee Newcomers, Sponsorship Groups, and Employers

The project explores the facilitators and barriers to the successful economic transitions of privately sponsored refugees resettled in rural areas of Nova Scotia since 2015. While acknowledging differences in pre-migration experiences, we seek to better understand 1) the post-migration factors shaping their economic transitions, such as gender, parental status, race, age and health; 2) how refugees’ transitions are informed by cultural, intercultural, economic, and social variables; and 3) how resettlement by private sponsors in rural settings influences refugees’ economic transitions. A qualitative research design will be used to learn from refugees resettled in rural and remote areas of Nova Scotia, the volunteers who provide/d resettlement support, and the employers who hire/d newcomers. This study will help explain why privately sponsored refugees tend to integrate into the economy more rapidly and securely compared to government-sponsored refugees. This project is done in partnership with Syria Antigonish Families Embrace, SAFE, a community-based refugee sponsorship group established in Antigonish Nova Scotia in 2015.

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Faculty Supervisor:

Norine Verberg

Student:

Carrigan Martell

Partner:

Syria Antigonish Families Embrace

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

St. Francis Xavier University

Program:

Accelerate

Integrity Monitoring of Motion Estimation and Hazard Detection Algorithms in Environmentally-Impacted Scenarios

Imagine some of the difficult driving conditions experienced by vehicle operators. In these conditions, the sun might be blindingly bright, or the snow might obfuscate what is going on around the vehicle. Surprisingly, the sensors used by autonomous vehicles to understand the environment they are in suffer from similar effects. As a field, robotics has yet to tackle integrity monitoring of the sensors used in autonomous applications. In order to transport safety critical loads, such as people or train freight, it is imperative to know when the data the autonomous vehicle receives is corrupted by environmental effects and adjust the behaviour of the autonomous vehicle accordingly. In this project, we aim to develop an algorithm that uses a sensor’s datastream and the outputs of the algorithms that rely on that sensor’s datastream to monitor the integrity of the data collected by the sensor.

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Faculty Supervisor:

Jonathan Kelly

Student:

Emmett Wise

Partner:

Thales Canada Inc.

Discipline:

Aerospace studies

Sector:

University:

University of Toronto

Program:

Accelerate

Advanced Building Performance Analysis Tools for Computation Design of Building Envelopes

An early-stage design analysis methodology will be investigated for evaluating preliminary building envelope design alternatives using advanced computation and analysis tools. Design alternatives will be generated based on different envelope materials, structure, insulation types and window-to-wall ratios and evaluated based on selected metrics including energy use, daylighting, life cycle analysis and life cycle costing. A master-planning project in Mississauga, Ontario, will be used as a test-bed for the methodologies explored in this research. Finding will assists in developing design guidelines for efficient and low-carbon building envelopes. The benefits to the partner from this project include expanding expertise in envelope performance analysis, experimenting with expansion of carbon accounting consultation, expanding expertise in computational design and analysis tools, developing tool comparison measures, and testing efficacy of in-house developed analysis tools and improving their efficiencies.

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Faculty Supervisor:

Carl Haas

Student:

Sheida Shahi

Partner:

Entuitive

Discipline:

Engineering - civil

Sector:

Other

University:

University of Waterloo

Program:

Accelerate

Robust Non-contact RF Sensing for Human Vital Sign and Activity Monitoring

Non-contact sensing for vital signs and human activities utilizing wireless signals has attracted a lot of attention in the last few years. Sensing using Ultra-wide-band or milli-meter wave radios is advantageous in its ability to penetrate garments or walls, operate under different lighting and weather conditions, and better preserve people’s privacy. Despite successful research demonstrations, there remain significant gaps in practical adoption and deployment. Many challenges need to be addressed to handle the presence of multiple subjects, subject diversity and environmental interferences. In this research program, we aim to develop robust non-contact sensing solutions to detecting vital signs and extracting high-level analytics of human activities in indoor and in-vehicle environments. The projects are expected to not only advance the state-of-the-art in algorithmic design for non-contact RF sensing but also develop proof-of-concept prototypes and demonstrative applications.

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Faculty Supervisor:

Rong Zheng

Student:

Bo Zhang

Partner:

Huawei Technologies Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Toward the development of a framework for research collaboration between public libraries and universities

Public libraries and universities can benefit greatly by partnering to conduct research. To ensure the sustainability and impact of these partnerships, they need to be grounded in an awareness of each organizations’ research needs, goals, resources, and strengths. This project will produce a framework that guides public libraries in identifying research needs, strategically selecting university partners, and developing research plans that address each organizations’ roles and responsibilities. While frameworks for community-university partnerships exist, none are tailored to the unique context of public library-university research collaborations. To build such a framework, this project will entail a systematic synthesis of literature relevant to supporting strong university-community partnerships, participant observation of HPL’s research culture, and a survey of the research needs and practices at HPL and three other public library systems in Western, Central, and Atlantic Canada.

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Faculty Supervisor:

James Gillett

Student:

Kaitlin Wynia

Partner:

Hamilton Public Library

Discipline:

Other

Sector:

Information and cultural industries

University:

McMaster University

Program:

Accelerate

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