Innovative Projects Realized

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

29670 Completed Projects

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Projects by Category

Arsenic release from arsenic-bearing minerals

When waste rocks generated by mining activities are exposed to the air and water, various toxic elements may be released to receiving waters and soils. Arsenic (As) is known as one of the most toxic pollutants which can cause damage to the environment and human health. To implement effective source control, it is essential to identify key factors that control the leaching process. The main objective of this research is to determine the rate-controlling steps in the release of toxic elements, with the initial focus on arsenic release. Leaching experiments will be performed to obtain the release stoichiometry. The effect of different parameters including temperature, pH and dissolved oxygen will be investigated to derive the kinetics.

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Faculty Supervisor:

Wenying Liu

Student:

Partner:

China Gold International Resources Corp. Ltd

Discipline:

Engineering

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

Electrocatalyse d’hydrogène avec des catalyseurs moléculaires inorganiques

Dans une situation de crise environnementale, l’industrie doit prévenir le réchauffement climatique avec la transition des énergies fossiles vers les énergies renouvelables. L’hydrogène dont la combustion génère de l’eau présente le carburant le plus prometteur quant à la préservation de l’environnement et son rapport énergétique massique. Actuellement, la majeure production est issue du reformage du méthane : une méthode qui relargue du dioxyde de carbone. Le clivage de l’eau en O2 et H2 se projette la technique la plus propre et économique. L’électrolyse de l’eau dans l’industrie se produit grâce à des cathodes de platine ou encore du Nickel ou Molybdène. Diminuer le coût énergétique d’électrolyse en utilisant des métaux abondants donne naissance aux motivations du projet de recherche. Les systèmes de catalyse hétérogènes sont exploitables en longévité mais les rendements énergétiques ne sont pas optimaux. Le chauffage et des plus hautes pressions sont nécessaires. TO BE CONT’D

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Faculty Supervisor:

Garry Hanan

Student:

Partner:

Technologies Henergy Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Network Traffic Classification for Cyber Threat and Malware Detection

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast enough for analyzing massive high-dimensional
data generated by network traffic to detect cyber threats/ attacks and anomaly in the network. If you’re passionate, driven and are seeking interesting work and new challenges then we want you to join our team.

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Faculty Supervisor:

Bijan Raahemi

Student:

Partner:

BCE Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Ottawa

Program:

Accelerate

Zebrafish high throughput screens for development of drugs targeting sepsis, stroke and other chronic diseases

Currently there is a huge challenge in drug screens as the vast majority of the candidate drugs fail in clinical trials either due to no efficacy or drug toxicity. As an alternative to traditional animal models, zebrafish have recently emerged as a powerful vertebrate paradigm to study human disease and to use its developing embryos for drug screens. In contrast to traditional cell-based screening, the zebrafish provides a whole vertebrate system for drug screening. It combines the biological complexity with the ability for high throughput screening and quick assessment of potential toxicity. It is expected that the candidate drugs identified from the zebrafish screen will have a higher success rate than the cell-culture based screens. In this grant, we will employ zebrafish disease models of sepsis, stroke, diabetes, neurological and inflammatory diseases to screen for new chemical drugs, which will be validated in mouse models.

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Faculty Supervisor:

John Marshall;Ori Rotstein

Student:

Partner:

ZebraPeutics Inc.

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Pharmaceuticals; Technology

University:

University of Toronto

Program:

Accelerate

Visual Analytic Tool for Lessons Learned Retrieval and Decision Making

According to the World Petroleum Council (WPC), the average age of employees in Oil and Gas companies is 50 years, and it is estimated that in the next 5 years 40-60% of them will retire. One consequence of this age-related crisis is losing the accumulated knowledge by retiring “gray-beards”. In this scenario, new software technologies are mandatory to retain decades of expertise and transfer it to new employees. The objective of this project is to start paving the way for developing a novel software system that supports timely decision-making using lessons learned and best practices in the oil and gas industry. The proposed project is focused on reducing the overhead of the complicated process of retrieving all necessary pieces of information to solve a problem. This system integrates textual information from different sources, such as manuals and lessons learned, to retrieve most of the related documents using natural language processing technologies. To achieve this goal, query correction and suggestion are followed by finding the most relevant documents to the query. TO BE CONT’D

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Faculty Supervisor:

Fernando Paulovich

Student:

Partner:

Waterford Energy Services Inc

Discipline:

Computer science

Sector:

Information and Communications Technology; Oil and Gas; Technology

University:

Dalhousie University

Program:

Elevate

Designing and Developing Interaction techniques for webspaces in AR/VR

The objective of this project is to design and develop interaction techniques for Webspaces in Virtual/Augmented Reality. We will study and understand current techniques to interact with the websites via screens, how users access the information and media presented on the websites and the ways in which this presentation of information can be improved to provide a better experience when using 3D interfaces. While using VR/AR headsets, various new challenges arise in the efficiency and usability of the tools which has a lot of scope of improvement. We expect to create more intuitive and viable interactive solutions for a 3D environment to access the content on websites, incorporating them on the current popular 3D web-content sharing webspaces and possibly a Research Article presenting the analysis and the techniques.

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Faculty Supervisor:

Karan Singh

Student:

Partner:

BITS Pilani, KK Birla Goa Campus

Discipline:

Computer science

Sector:

Technology; New and Digital Media; Entertainment and Media

University:

University of Toronto

Program:

Globalink Research Award

Automating Configuration and Performance Management of Data Centers – Year two

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This makes their Operation and Management (O&M) much more challenging. Much more intelligence is required for automating the various tasks. Several technologies that have recently emerged could help in this automation. Some examples are the new technologies on which data centers rely. An SDN based – management system, for instance, could assist in automating configuration and reconfiguration of intra-DC and inter-DC paths. Other examples are machine learning and big data analysis. Machine learning, for example, could aid in performance management by predicting the performance metrics for autonomic tuning of the behavior. This project aims at designing and validating architectures and models for automated performance and configuration management of large-scale, geo-distributed, highly heterogeneous, and NFV-SDN enabled-DC. An incremental approach will be followed. The first year will be devoted to configuration management and we will deal with performance management (including resource provisioning) during the second year.

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Faculty Supervisor:

Roch Glitho

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Concordia University

Program:

Elevate

Automating Configuration and Performance Management of Data Centers

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This makes their Operation and Management (O&M) much more challenging. Much more intelligence is required for automating the various tasks. Several technologies that have recently emerged could help in this automation. Some examples are the new technologies on which data centers rely. An SDN based – management system, for instance, could assist in automating configuration and reconfiguration of intra-DC and inter-DC paths. Other examples are machine learning and big data analysis. Machine learning, for example, could aid in performance management by predicting the performance metrics for autonomic tuning of the behavior. This project aims at designing and validating architectures and models for automated performance and configuration management of large-scale, geo-distributed, highly heterogeneous, and NFV-SDN enabled-DC. An incremental approach will be followed. The first year will be devoted to configuration management and we will deal with performance management (including resource provisioning) during the second year.

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Faculty Supervisor:

Roch Glitho

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Concordia University

Program:

Elevate

Development of Coxsackievirus B3 as an Oncolytic Virus for KRAS-Mutant Lung Cancer Treatment

In Canada, lung cancer is the leading cause of cancer-related deaths for both sexes. Non-small-cell lung cancer (NSCLC) constitutes ~85% of lung cancer cases. Mutations in the KRAS and EGFR genes are two most common oncogenic drivers for NSCLC and responsible for ~30% and ~15% of NSCLCs, respectively. Unlike the EGFR-mutant type, KRAS-mutant NSCLC is currently undruggable and associated with poor prognosis. Our lab has recently demonstrated that Coxsackievirus B3 (CVB3) is a potent oncolytic virus against KRAS-mutant NSCLC. Nevertheless, it was observed that efficient tumor suppression is accompanied with damage to multiple organs, particularly the heart. Here we propose to develop an innovative CVB3-based oncolytic virus with enhanced tumor-specificity. If a therapeutic effect is achieved, the clinical significance may grant Virogin Biotech Ltd. one possibility to provide the first-ever effective and safe treatment for this deadly disease for Canadians.

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Faculty Supervisor:

Honglin Luo

Student:

Partner:

Virogin Biotech Ltd

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Electrospinning as a Novel Method of Preparing Nanofilled Epoxy Composites

Electrospinning technique will be used as a new mixing method to disperse nanofillers into the epoxy base polymer in this project . The single-needle electrospinning scheme has been successfully used in the preparation of nanofilled silicone rubber composites. However,its low volume product has limited the industrial applications,so another electrospinning scheme will be investigated to scale up the electrospinning process. The electrospun epoxy compounds will be prepared by two schemes of electrospinning. Nanofiller dispersion in the epoxy base polymer will be studied through SEM. The dielectric properties of electrospun nanofilled epoxy composites and conventional mixer prepared epoxy composites will be investigated to see the effect of nanofiller dispersion on them . GABAE is currently engaged in nanofiber product development using electrospinning which is involving in projects of high economic potential and research that needs a complex combination of scientific and management skills, this proposed project to GABAE is very significant.

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Faculty Supervisor:

Sheshakemal Jayaram

Student:

Partner:

Concordia University;GABAE Development

Discipline:

Engineering

Sector:

University:

University of Waterloo

Program:

Accelerate

Antimicrobial Properties of Kisameet Clay IV

Natural clay minerals have a long history of medicinal applications. Recent studies have described their antibacterial properties and have suggested that specific physical and geochemical characteristics of clay are involved in this effect. Kisameet clay (KC), a natural deposit found in British Columbia has been used for healing purposes for generations, still little more than anecdotal information about its use has reported. We have confirmed broad-spectrum antimicrobial activity of KC against a variety of human pathogens. Then, our goal has been elucidating the mechanism(s) which make it antibacterial. We have proposed to carry out microbiological and geochemical analyses to reveal the mode of action. In parallel, potential microbial sources of active compounds have been identified by using metagenomic analyses of DNA extracted from clay. TO BE CONT’D

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Faculty Supervisor:

Julian Davies

Student:

Partner:

Kisameet Glacial Clay Inc

Discipline:

Life Sciences

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

A weighted graph approach to IP geolocation

When you load a page on the internet, or watch a video, or send an email, packets of information travel along a path from your computer to the destination. Where does this path go? If both you and your destination are located in the same country, does the path respect international boundaries? We propose a method for answering these questions that builds upon previous techniques. Our partner organization, CloudPBX Inc, develops and operates network infrastructure for telephonic communications. They are interested in offering their customers the assurance that their calls are not unintentionally crossing international borders.

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Faculty Supervisor:

Matthew DeVos

Student:

Partner:

Corvum

Discipline:

Mathematics

Sector:

Information and Communications Technology; Energy and Utilities; Technology

University:

Simon Fraser University

Program:

Accelerate

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