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

Enabling Vehicle Fleet Electrification in British Columbia: Understanding the trends, barriers and opportunities

The barriers, trends and opportunities around using electric vehicles as commercial vehicles is not well understood. SFU, together with Fraser Basin Council, are researching the potential opportunities in deploying electric vehicles in commercial vehicle fleets in BC to provide policy advice and to identify the impacts and benefits of electrification. The outcomes of these studies will enable the government to establish policies to support electric vehicles for commercial fleets, allow automakers to better understand the use and operation of electric vehicles in commercial fleets and allow fleet managers to better identify where electric vehicles can save money. These studies will enable more electric vehicles on BC streets, reducing air pollution and greenhouse gas emissions.

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Faculty Supervisor:

Taco Niet;Erik Kjeang

Student:

Tewodros Walle

Partner:

Fraser Basin Council

Discipline:

Engineering

Sector:

University:

Simon Fraser University

Program:

Accelerate

White Sturgeon Movement and Habitat Use in the Lower Columbia River

The White Sturgeon (Acipenser transmontanus) population in the lower Columbia River was listed as endangered under the Species at Risk Act in 2006. Natural recruitment failure has occurred since the 1970s, with regular spawning occurring but insufficient numbers of viable offspring reaching juvenile stage to sustain the population. A recovery strategy has included the establishment of a successful hatchery to supplement the population while research into recruitment failure and collection of baseline biological data continues. Since 2007, BC Hydro has tagged adult sturgeon to track their movements. With these data, we will investigate the effects of BC Hydro river regulation on movement and habitat use and interaction between sturgeon of different river sections and origin. This research will directly support the recovery of this endangered White Sturgeon population, will be applicable to other sturgeon recovery programs within Canada and will support the development of sustainable hydropower operation and river regulation in British Columbia.

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Faculty Supervisor:

Eduardo Martins

Student:

Sebastian Dalgarno

Partner:

BC Hydro

Discipline:

Other

Sector:

Energy

University:

University of Northern British Columbia

Program:

Accelerate

Effectof face covering functional design on cardio pulmonaryresponses and athletic performance

Virus transmission from one person to the next is heightened during physical activity and team and given the unique circumstances created by the COVID-19 pandemic, the demand for face coverings have exploded in all sectors of society. This project investigates Evolution Sports and Athletic Gear’s sports face covering prototype to evaluate the performance of these face coverings, alongside how athletes perceive both the breathability and comfortability of the mask prototype(s). The face covering intends to complement sports activities while continuing to reduce the risk of virus during activity and in close quarters (sidelines or spectating).

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Faculty Supervisor:

Mojtaba Kaviani

Student:

Jordan Hanoun

Partner:

Evolution Sports and Athletic Gear

Discipline:

Food science

Sector:

Professional, scientific and technical services

University:

Acadia University

Program:

Accelerate

RPAS acquired full motion video analysis and anomaly detection

This research project will investigate how modern Remotely Piloted Aircraft Systems (also referred to as RPAS, drones, UAVs or UASs) can optimize surveillance missions and target characterization through the integration of Full Motion Video (FMV) cameras. FMV data will be processed and analyzed including the use of Artificial Intelligence (AI) algorithms. The large amount of data which results from such surveillance missions must be analyzed via semi-automatic and automatic methods, as manual analysis is neither fast enough nor economical. The processed target information will be dissemination through 4D visualizations systems which will be interactive, immersive and oriented towards decision making.

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Faculty Supervisor:

Alexander Braun

Student:

Fouad Faraj

Partner:

MDA Corporation

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Lithium ion battery systems for decentralized solar photovoltaic storage in Sub-Saharan Africa

Jaza Energy Hubs supply energy separate from the unreliable local grid for rural communities in Africa. They do this via solar energy, which is abundant in this area, and store the energy in specially made lithium ion batteries. These batteries are removable so that locals can take to their dwelling. Because of old data being used and the sun having a varying amount of energy output through the day there has been cases of mismatched demand and generation. This means that people are not able to receive power when they need it. This project aims to look at the data collected since the hubs were installed and perform tests to find the characteristics of the batteries so that it will not occur in the future. Doing these two tasks also will provide insight on how to make larger installations to service more people.

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Faculty Supervisor:

Lukas Swan

Student:

David Theuerkauf

Partner:

Jaza Energy Inc

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Dalhousie University

Program:

Accelerate

Reliability Analysis for Bridges Under Autonomous Truck Platooning Loads

The freight trucking industry is in a transformational phase by adopting smart mobility options to reduce operational costs and minimize carbon foot print. The autonomous truck platooning is a major step in this regard and the goal of this research project is to assess the readiness of the bridges for the peculiar loading conditions due this new form of the mobility by performing reliability analysis. The partner organization will benefit from the outcomes of this research by keeping its leading role in the smart mobility segment of the industry.

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Faculty Supervisor:

Luc Chouinard

Student:

Sikandar Sajid

Partner:

Parsons Inc

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Ontario Back To Play Research Project

The expected research seeks to understand the current state of youth sport offerings in Ontario, Canada. Through a survey of youth (ages 6-29), parents and organizations involved with sport in Ontario, the back to play survey aims to understand the current state of youth sport in the aftermath of the COVID-19 pandemic. Access to opportunity, whether or not youth are comfortable engaging or reengaging in sport, and whether social or economic factors such as race, income or geography influence how or who is return to play, will be explored. The survey itself will include both quantitative and qualitative items for analysis, with key findings to be shared publicly and to inform future research, policy, funding strategy.

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Faculty Supervisor:

Simon Darnell

Student:

Daniel Sailofsky

Partner:

Maple Leaf Sports and Entertainment Foundation

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

University of Toronto

Program:

Accelerate

High-heat-flux microprocessor cooling using microgaps

Just as every computer needs a processor, every processor needs a cooling system. Without one, the significant heat generated by the processor will overheat the system. As time has advanced, this heating issue has only become more critical, thus necessitating the advent of more effective cooling solutions. Microgaps, which pass coolant through, as the name suggests, a microscale gap, are uniquely suited to meet the ever-increasing cooling demands of modern processors. Moreover, they are capable of doing so in a compact and reliable manner. The research project being proposed would investigate various alterations to the typical straight channel microgap geometry in an attempt to advance the maximum performance of this technology. The success of this pursuit would provide the partner organization with an improvement over their current processor cooling technology, and thus a competitive advantage in the high-performance computing market.

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Faculty Supervisor:

Laurent Mydlarski

Student:

Michael Hinton;Alaïs Hewes

Partner:

Hypertechnologie CIARA Inc

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Offline Digital Twin for ArcelorMittal Dofasco’s No. 2CC using 3D THERCAST® modelling to predict macrosegregation & cracking

During the metallurgical production process of steel, such as continuous casting, the defects forming during solidification process greatly impair the final properties of steel products which can only be modified to a limited extent in the subsequent processing. The common casting defects such as macrosegregation and cracking in continuously cast steel slabs have plagued the industry for decades as they are multi-physics and multi-scale problem and extremely hard to solve. In this project, a macroscale process modelling work combined with experimental investigation is proposed to study the solidification and deformation behavior of casting steel. This research will help metallurgists to have a better idea of the range of alloys compositions that can be industrially produced and alleviate the long-term severe problems during casting, which allows for the increase of productivity and optimization of casting procedures.

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Faculty Supervisor:

Andre Phillion

Student:

Yi Feng

Partner:

ArcelorMittal Dofasco

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Modeling the Ekona’s natural gas pyrolysis pulse reactor for the coproduction of blue hydrogen and carbon nanoparticles

A carbon growth model will be incorporated into Ekona’s reactor and process model and validated against experimental results. The resulting simulation model will be used to inform future reactor designs, specify balance of plant components, and optimize performance. The model will be capable of describing methane pyrolysis, estimating H2 production yield, and predicting the amount of produced carbon. Ekona will be using this model for creating a new solution to producing industrial-scale hydrogen that is both low-cost and clean by converting natural gas into hydrogen, clean power, and pure CO2 that can be easily stored or used resulting in minimized CO2 emission. Reduced CO2 emission is a strong move to eliminate the environmental impacts imposed by GHG emissions and achieve Canada’s goal of accomplishing net-zero GHG emissions by 2050.

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Faculty Supervisor:

Murray Thomson

Student:

Ali Naseri

Partner:

Ekona Power

Discipline:

Engineering - mechanical

Sector:

University:

University of Toronto

Program:

Production of FDCA directly from glucose/fructose in a continuous-flow two-stage reactor system and study of reaction kinetics

2,5-furandicarboxylic acid (FDCA), as one of the most promising green chemicals, has found a variety of commercial applications, particularly in the synthesis of polyesters, polyamides, and plasticizers as well as adhesives and coatings. FDCA is commonly produced from pure 5-hydroxymethylfurfural (5-HMF) by selective oxidation. However, pure 5-HMF is by far very expensive, generated by catalytic dehydration of carbohydrates (sugars, starch or cellulose), in which the yield and selectivity are still low due to the formation of byproducts such as humins, hence posing a big challenge for commercial-scale production of FDCA. Alternatively, synthesis of FDCA directly from biomass or sugars through 5-HMF intermediate could be economically viable and sustainable. In this Mitacs Accelerate project, our existing continuous-flow biphasic catalytic reactor system (15g/h) for HMF synthesis will be modified to a two-stage continuous-flow process for production of FDCA directly from glucose/fructose and for study of reaction kinetics.

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Faculty Supervisor:

Charles Chunbao Xu

Student:

Taizong Shen

Partner:

Climicals

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Immune Cell Tracking of immunotherapy Response in Orthotopic Epithelial Ovarian Cancer Model

IMV Inc. is developing injectable cancer immune therapy using the company’s DPXTM technology. DPX is a patented formulation that displays excellent tumor control and provides a long lasting and specific effect). DPX can be tailored to various cancers via the use of tumor specific components in the formula. The way by which this therapy exerts its effect is unclear but the research team at IMV, along with the researchers at Dr. Kimberly Brewer’s lab, is determined to discover its mechanism of action and why their proprietary DPX technology delivers superior responses in comparison to other forms of injectable therapies. This project aims to figure out how DPX-Survivac, their lead immunotherapy formulation, along with combined therapies, affect immune cell populations in a preclinical model for ovarian cancer. Some immune system components, like T and B cells, will be labeled so that they can be tracked using magnetic resonance imaging (MRI) to elucidate where and how the body responds to the treatments. Figuring out how immune therapies interact with the immune system will help decipher why DPX’s technology is efficient and how treatment combinations and timing could be modified for a better response.

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Faculty Supervisor:

Kimberly Brewer

Student:

Jessica Thandara Gosse

Partner:

IMV Inc

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

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