Innovative Projects Realized

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

30508 Completed Projects

2882
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5105
BC
825
MB
681
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860
SK
9051
ON
9491
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97
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586
NB
1141
NS

Projects by Category

Investigating Photocatalysis using Visible Light for inactivation of the virus SARS-CoV-2

Due to the SARS-CoV-2 pandemic, there is: 1) a worldwide shortage of Personal Protection Equipment (PPE) for frontline Health Care Professional; and 2) a demand for products which can reduce the risk of contracting SARS-CoV-2. We plan to assess the use of titanium-based particles to inactivate viruses and bacteria using visible light. The particles can be used in wide range of other applications including 1) air filtration systems such as ventilators, air purifiers; 2) water filtration systems such as water purifiers; and 3) surface cleaning systems.

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Faculty Supervisor:

Horacio Bach

Student:

Partner:

Photonclean

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Economic Impacts and Influence of COVID-19 on Syrian Refugee Settlement and Integration in Rural Canada

The research will highlight the COVID-19 related economic and social challenges faced by Syrian Refugees who have settled in Rural Canada. These new residents have settled, started to adjust to life in Canada, and have suddenly found themselves challenged by economic and social uncertainty brought about by COVID-19. The results of this research will help local governments and community organizations, in addition to anyone planning settlement and integration activities, to better understand how refugees are being impacted, their priorities, and what supports and services are critical to ensuring the health and economic well being and resilience of new refugees. The study will identify economic impacts associated with COVID-19 and will offer strategies and approaches aimed to assist these new residents.

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Faculty Supervisor:

Wayne Caldwell

Student:

Partner:

Gateway Centre of Excellence in Rural Health

Discipline:

Sociology

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Developing a Remote Search Engine for Histopathology Scans

The wide-spread adoption of digital pathology has opened new horizons for histopathology. Artificial intelligence (AI) algorithms are able to operate on digitized slides to assist pathologists with different tasks. Whereas AI involving classification and segmentation methods have obvious benefits for image analysis, image search represents a fundamental shift in computational pathology. Image-based search for digitized pathology slides can provide pathologists with unprecedented access to the evidence embodied in already diagnosed and treated cases from the past. Huron Digital Pathology has developed and designed an image search system for histopathology images, called Yottixel. The proposed project is the enhancement of Yoittixel search algorithm by incorporating a novel approximate k-NN technique. The proposed method could enable up-to 10-fold speedup in searching and offer more efficient utilization of computational resources. These enhancements provide competitive advantage to Yottixel as a product, especially in hospitals and labs where computing infrastructure are not sufficient for hosting a sophisticated image search engine on-site. The ultimate goal of the research is to develop Yottixel into a robust and efficient search engine for digital histopathology archives. It has potential to be a screening tool to both speed up and improve the accuracy of cancer diagnoses by pathologists.

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Faculty Supervisor:

Hamid R Tizhoosh

Student:

Partner:

Huron Digital Pathology

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Improvement of the capabilities of an analytical instrument and itsapplications in polymer materials characterization and formulation.

Rheolution Inc. develops and commercializes a new scientific instrument dedicated to the mechanical
characterization of materials for research and development and quality control of industrial
polymers. The instrument, called RheoSpectrisTM, uses an innovative technology patented by the
University of Montreal Hospital. Compared to the competing old generation instruments, this unique
technology allows the measurement of material properties over an unexplored dynamic range (20
times wider), very rapidly (in less than 1 second) and without contact. This research proposal
constitutes a part of the strategy pursued by Rheolution Inc. to continuously develop its instrument
capabilities and has three major axes:

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Faculty Supervisor:

Khashayar Khorasani;Robert Owens;Marie-Claude Heuzey;Roland Maranzana

Student:

Partner:

Rheolution Inc

Discipline:

Physics

Sector:

Manufacturing

University:

Concordia University; École de technologie supérieure; École Polytechnique de Montréal; Université de Montréal

Program:

Accelerate

Scalable Fraud Detection Methods for Micro-donation Processing Platforms

The goal of this project is to investigate fraud detection methods for micro-donation processing platforms. Fraud detection is a popular topic in both industry and academia, but usually in the context of payment processing. Through this research we aim to develop a practical, scalable and robust fraud detection system for the specific use-case of micro-donation processing in an ecosystem which contains three primary entities consisting of donors, corporations and recipient charities. The partner organization (Benevity) will benefit from this research through improvement of its fraud detection activities.

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Faculty Supervisor:

Antony Ware;Matthew Greenberg

Student:

Partner:

Benevity, Inc.

Discipline:

Mathematics

Sector:

Finance and Insurance; Information and Communications Technology

University:

University of Calgary

Program:

Accelerate

Mapping Social Media Use in Kyrgyzstan: A Pilot Study

The research analyzes the structures of social networks, the varying uses of social media and information diffusion among social networking sites’ users in Kyrgyzstan as a pilot study and possibly expand in a subsequent project to Central Asia. We will study social media consequences on politics, the rise of populism, democracy, equality, participation, diversity, deliberation, privacy, surveillance, community building, informal social networks, public sphere and everyday life. The information heterogeneity of social media content in Kyrgyzstan will also be analyzed in this research. Using visualizations of complex networks and network matrices, this research will reveal the structure of the network, calling out cliques, clusters, communities, and key participants. Through mapping attribute data and network metric scores this research will also visualize network matrices. While in Kyrgyzstan social media has grown exponentially and has growing significance as a medium where social and political attitudes are shaped, and is the platform where civil activism and volunteering is developed, there is virtually no analysis of content and audiences.

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Faculty Supervisor:

Ahmed Al-Rawi;Peter Chow-White

Student:

Partner:

Aga Khan Foundation Canada

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Simon Fraser University

Program:

Accelerate

Développement d’un cadre pédagogique visant le développement des habiletés musicales des enfants de 4 à 6 ans

Chez l’enfant de 4 à 6 ans, l’approche d’apprentissage par le jeu est recommandée pour stimuler les domaines du développement global : affectif, physique et moteur, social, cognitif et langagier. En ce sens, le jeu musical serait un vecteur artistique pour favoriser le développement de l’enfant. De plus, à l’ère numérique, les jeux éducatifs évoluent et deviennent interactifs, coopératifs, et personnalisés. Le projet propose donc de documenter les interventions pertinentes pour guider adéquatement les enfants dans leur cheminement développemental dans une approche d’éveil et d’activités spontanées pour ensuite collaborer avec Mazaam Interactive Inc. dans l’élaboration de ressources pédagogiques combinant la musique et la technologie. Ce projet sera en lien avec le programme de l’école québécoise.

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Faculty Supervisor:

Jonathan Bolduc

Student:

Partner:

Mazaam

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Université Laval

Program:

Accelerate

Simulation-based truck dispatching for minerals transportation in open-pit mines

In this project, we replicate the dispatching operation of mineral transportation trucks using a discrete-event simulation model, then we use the data generated by the simulation model to train an AI algorithm to dispatch trucks to loading/unloading shovels. The use of AI in this scheduling problem will improve the system’s performance

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Faculty Supervisor:

Soumaya Yacout

Student:

Partner:

SimWell

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Development of targeted degradation of Nuclear Receptor Binding SET Domain Protein 2 (NSD2) by Proteolysis-targeting chimera (PROTAC) for the study of its role in SARS-CoV-2 infections

The recent outbreak of the SARS-CoV-2 associated coronavirus disease, COVID-19, had been declared a global pandemic by the World Health Organization. There is still only a minimal understanding of the virus and an absence of effective targeted therapy for its treatment. Epigenetic regulations in cells control the expression of genes without modifications to the genetic codes itself, and epigenetic-targeted therapy development had been widely proposed as a promising approach to antiviral therapeutics. NSD2 is protein involved in epigenetic control to silence genes and has been reported to be upregulated and known to interact with some key proteins in SARS-CoV-2 infected cells. This project focuses on developing a method to precisely target the degradation of NSD2 via a technique called PROTAC. This could provide a first-in-class method for targeted degradation of NSD2 that could be used to study the protein function and to develop potential therapeutics for COVID-19.

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Faculty Supervisor:

Mathieu Lupien;Cheryl Arrowsmith

Student:

Partner:

Structural Genomics Consortium

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Multiple functional nanoscale MOF particles for anticancer drug and siRNA delivery system

Nanomaterials as carriers are very suitable for the delivery of chemotherapeutic drugs in cancer treatment. Because nanomaterials as a carrier platform have strong permeability and retention delay in the treatment of tumors, they can passively target tumor cells. Metal organic framework ?MOF ?is a kind of porous material with large pore size and high specific surface area, which can achieve drug encapsulation. We adjusted the size and morphology of MOF to obtain biocompatible materials with an average particle size of less than 200nm. The surface of MOF was further modified to design a nano MOF@drug system combining chemotherapy, photodynamic therapy and gene therapy.

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Faculty Supervisor:

Pu Chen

Student:

Partner:

Enerclean Technology Ltd

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Data Science: From Principle to Practice

Data science is an interdisciplinary field that combines statistics, computer science, and domain knowledge. The rise of data science has fundamentally changed how people solve problems in all kinds of industries. To fill the talent gap, SFU professional master’s program (PMP) was launched in 2014. In this Mitacs cluster project, SFU PMP will collaborate with multiple industrial partners to investigate innovative solutions to address various data science challenges in data management, model development, and application & product

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Faculty Supervisor:

Jiannan Wang;Steven Bergner;Ali Mahdavi-Amiri

Student:

Partner:

IFIVEO;Flex AI;Koan Analytics Inc.;Lantronix Inc;LongTail Financial;Caliber Data Labs;Digitalist;Xtract AI

Discipline:

Computer science

Sector:

Mining; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Pricing model from econometric perspective and visualizing promotion cannibalization effect on promotion activities

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:

Partner:

Unilever Canada Inc

Discipline:

Business

Sector:

Manufacturing; Wholesale trade

University:

The University of Western Ontario

Program:

Accelerate

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