Innovative Projects Realized

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

31915 Completed Projects

3006
AB
5256
BC
878
MB
703
NL
913
SK
9488
ON
9950
QC
98
PE
629
NB
1215
NS

Projects by Category

Mapping High-Level Workflows to Low-Level Robotic Actions

We are developing a robotic platform and agent that is able to translate instructions (e.g. “bring me the newspaper”) into a series of low-level programs (moving between rooms, locating objects, interacting with objects) and executing these autonomously. Traditionally, in hierarchical reinforcement learning, tasks are executed sequentially, but we would like to focus on parallelization and parameterization of low-level skills.

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Faculty Supervisor:

Liam Paull

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

Université de Montréal

Program:

Accelerate

Developing new drawing techniques to create believable Black hair in 2D Animation, and its role in increasing representation of African heritage in mainstream kids media.

Through iterative design and experimentation, this research aims to overcome the technical challenge of creating an authentic and respectful representation of African American hairstyles in mainstream 2D Animation.

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Faculty Supervisor:

Glenn Sylvester;Juan Carlos Lopez de la Torre

Student:

Partner:

Atomic Cartoons

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Capilano University

Program:

Accelerate

Formation inclusion par l’art

Ce projet vise le rapprochement interculturel en utilisant l’art et l’ethnographie pour proposer une formation dont la base des informations est tirée de l’expérience et de la trajectoire des individus et des groupes dans les quartiers de Montréal. L’objectif de cette recherche est de produire une formation qui pourrait contribuer à transformer les préjugés et les stéréotypes qui empêchent l’égalité et l’inclusion de groupes racisés dans notre société. C’est pourquoi nous voulons mettre sur pied une formation destinées aux entreprises afin de sensibiliser les employés et les cadres aux problématiques de racisme dans les entreprises et aux avantages de la diversité socioculturelle. La méthodologie utilisée ici se veut inclusive en interrogeant les savoirs absents, les savoirs périphériques, le savoir des gens simples par le biais d’un vox populi. Cela nous permettra de recueillir l’opinion et l’expérience des québécoisEs sans distinction de statuts, sans discrimination de races de couleurs ou de religions.

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Faculty Supervisor:

Martin Hébert;Bob White

Student:

Partner:

P.A.A.L. Partageons le monde

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Université Laval

Program:

Accelerate

Development and Prototype of Safe and High-Energy Electric Double-Layer Capacitors – Part 4

Supercapacitors are electrochemical energy storage devices that allow electricity to be stored for later use and play an essential role in utilizing intermit renewable energy. This collaborative project between Dr. Jian Liu’s group at the University of British Columbia (UBC) and Atlas Power Generation, a Vancouver-based clean tech company, will develop a high-energy, safe, and low-cost supercapacitors technology by materials and electrolyte innovation. The interns will develop thick carbon electrode and prototype and analyze pouch-cell supercapacitors at an industry-relevant scale. Atlas Power Generation will scale up the manufacturing of the developed supercapacitor technology in BC.

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Faculty Supervisor:

Jian Liu

Student:

Partner:

Atlas Power Technologies

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Automated analysis of anatomical changes occurring in brain with Posttraumatic Stress Disorder

Trauma occurs in many forms at various instances of our daily life and some subtle ones go unnoticed until sever symptoms are observed. The affects on life vary from impairments to severe incapacitation. Current diagnosis methods are based on questionairs and subjective assessment with inherent variability associated to the doctors. In this internship we will be developing an automated diagnosis framework based on MRI imaging. The frist task will lead to automated image analysis pipeline providing accurate delineation of structures in the brain and provide their pertinent measurements. The next task will develop a framework to automatically identify data as being from patients or healthy individuals. This will then incorporate the current clinical paradigms and lead into an integrated framework. This pipeline and framework will then be further integrated into the current NeuroKinetics clinical assessment protocol.

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Faculty Supervisor:

Mirza Beg

Student:

Partner:

Neurokinetics Health Services (BC) Inc

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

Simon Fraser University

Program:

Accelerate

Optimizing Culturing Techniques for Small Intestine Microbiome Samples

The SIMBA (Small Intestine MicroBiome Aspiration) capsule is an ingestible capsule designed to collect samples from the small intestine. The safety and efficacy of this device have been demonstrated in healthy volunteers. The aim of this research and development project for the intern student is to develop culturing techniques that are optimized to better characterize the bacteria population in small intestine, first using aspirate samples collected from routine clinical endoscopic procedures and then through a clinical validation study.

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Faculty Supervisor:

Kathy McCoy;Christopher Andrews

Student:

Partner:

Nimble Science Ltd.

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Computer-Aided Detection of Kidney Tumors using MRI Images and Deep Learning

Renal cell carcinoma (RCC) is the most common type of kidney cancer, accounting for 3% of all cancers diagnosed in adults. Medical Imaging is essential in diagnosis and treatment of kidney cancers. Magnetic Resonance Imaging (MRI) is now increasingly used in diagnosis and treatment of kidney cancer because of its ability to provide more insights about abnormal tissues. At present the MRI kidney cancer analysis is a manual process therefore, automated faster and accurate method is required to segment kidneys in MRI scans to assist radiologists. The early detection and characterization of kidney cancer is necessary for clinicians to plan the medical treatment in better way. This research study will provide partner organization the automated process for kidney tumor detection using artificial intelligence, which will eliminate the biopsy process of kidney cancer detection in real life.

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Faculty Supervisor:

Eran Ukwatta

Student:

Partner:

A.I. VALI

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Further development of protein-based biosensors and assessment of their commercialization potential within the Canadian aquaculture industry

In the agri-food industry, monitoring the production and/or processing of raw materials can be important for ensuring the quality of the end-product. Measurement of specific compounds during processing can provide the feedback required to make informed adjustments resulting in a quality enhancement of the product. Biosensors are the devices that can provide detection and/or quantification of specific chemical compounds in a sample. For biosensors to be integrated into existing processing they need to provide accurate results in little time, be cheap, and simple to operate. Protein-biosensors are a type of biosensor that meet these requirements by providing high sensitivity and selectivity of target compounds, real-time measurement of target molecules, and are biodegradable. We have developed a computational pipeline that allows for expediated production of new custom biosensors. The overall aim of this project is to determine the commercialization potential and feasibility of protein-biosensors in the aquaculture industry.

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Faculty Supervisor:

Hans-Joachim Wieden

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Aquaculture and Fishing; Biotechnology

University:

University of Lethbridge

Program:

Accelerate

Traitement des scories d’aciéries pour l’élaboration de ciments écologiques destinés au remblayage minier

Le remblai en pâte cimenté (RPC) est une technologie innovante couramment utilisée dans les mines profondes grâce à ses performances bien établies. Pour assurer la cohésion des RPC, plusieurs types de liants hydrauliques sont utilisées. Ces derniers présentent, toutefois, quelques inconvénients liés en particulier, à leurs coûts de plus en plus élevés, au caractère polluant de leurs procédés de fabrication et à des surcoûts liés à leurs transport pour les mines, surtout, éloignées. La recherche de sources locales de ciments écologiques et ayant des coûts abordables pour le RPC s’avère une solution pertinente afin de rendre l’opération de remblayage plus économique et écologique. Ainsi, la possible valorisation des scories des aciéries, proches des sites miniers, comme source de ciments écologiques s’avère une alternative prometteuse. Ce projet vise, donc, à examiner l’effet de certains traitements de deux types de scories sur leurs propriétés cimentaires dans les RPC.

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Faculty Supervisor:

Mostafa Benzaazoua;Tikou Belem

Student:

Partner:

Centre de transfert technologique en écologie industrielle

Discipline:

Earth science

Sector:

Mining; Sustainability & the Environment; Environmental Science and Technology

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Development and simulation of the GreeNovel invented plastic recycling and gas cleaning process

The main objective of this project is to design a novel plastic recycling technology invented by GreeNovel Incorporation. The process is based on microwave pyrolysis of the wastes at high temperatures and in the absence of oxygen to be decomposed to pyrolysis-oil and gas. The modelling of the novel microwave pyrolysis system and the product processing section will be performed. The process simulation tool will be provided to determine the properties of the products and operating conditions of each section. Moreover, the energy consumption and specifications of the microwave heating system from the flow data and other operating conditions will be defined. By incorporating the experimental data provided by GreeNovel, the equations describing the phenomena, including movement, mass and energy transfer equations, and Maxwell’s equations, will be solved using the simulation model.

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Faculty Supervisor:

Yaser Khojasteh

Student:

Partner:

GreeNovel Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Computer Algebra and High-Performance Computing Support for Model Predictive Control

In many industrial and engineering applications, process control plays a central role. Among the possible control strategies, model predictive control (MPC), also called receding horizon control (RHC) , stands out for its excellent ability to handle constraints. While MPC has been successfully applied to many industrial applications, further developments are limited when it becomes necessary to solve many large on-line optimization problems. To overcome this situation, parametric optimization is often used such that most of the computation burden is pushed to an off-line phase. In this project, we propose to develop algorithms and software tools based on symbolic computation, to perform parametric optimization together with the corresponding on-line procedures, targeting MPC in the case of polynomial constraints and polynomial objective function . The proposed research will bring together the latest advances in computational real algebraic geometry and high-performance computing techniques.

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Faculty Supervisor:

Marc Moreno Maza

Student:

Partner:

Maplesoft

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Western University

Program:

Accelerate

Bioinspired Unconventional Decontamination (BUD®)

Canada is the third largest exporter and the fourth largest producer of oil in the world. Thus, oil is a very important part of the Canadian economy. Oil is a cleaner fuel than coal, but it still has many disadvantages. For example, oil spills that occurs during transport and drilling can cause great environmental damage. Oil spills into oceans are harmful to marine mammals and birds as well as shellfish and fish. Methods for oil spill cleanup usually remove the oil layer from the surface of the water or break it up to make the oil spill less visible by pushing the effects of the spill underwater. Our response technology targets suspended or sunken oil before deep-sea currents drive the plume of oil far from the oil spill origin. Actually, our response technology is a problem-solving toolbox containing innovative devices/processes (e.g., enzyme mixture, jellyfish like tool) for oil spill cleanup. In this problem-solving toolbox, biological catalysts (enzymes) produced by oil-eating bacteria are used to detoxify toxic components catched by jellyfish tentacles.

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Faculty Supervisor:

Satinder Kaur Brar

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Biotechnology; Environmental Science and Technology; Life Sciences (not health)

University:

York 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.