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

Dolmen: Towards the programmatic assembly of large-scale distributed systems

Modern distributed applications are becoming increasing large and complex. They often bring together independently developed sub-systems (e.g., for storage, batch processing, streaming, application logic, logging, caching) into large, geo-distributed and heterogeneous architectures. Combining, configuring, and deploying these architectures is a difficult and multifaceted task: individual services have their own requirements, configuration spaces, programming models, distribution logic, which must be carefully tuned to insure the overall performance, resilience, and evolvability of the resulting system. In this project, the student will provide an assembly-based programming framework for the implementation of complex distributed topologies. Specifically, our aim is to provide a Domain Specific Language (DSL) that exploits self-organizing overlays to map at runtime a developer’s high-level description of a complex distributed topology onto a concrete infrastructure. The resulting work will be published to an international conference on systems.

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Faculty Supervisor:

Ivan Beschastnikh

Student:

Jodi Spacek

Partner:

Discipline:

Computer science

Sector:

University:

University of British Columbia

Program:

Globalink Research Award

Nanostructured Nickel Materials for Clean and Renewable Energy

With the rising concern regarding environmental pollution and greenhouse gases, the demand for clean and renewable energy sources has never been greater. Recent developments in fuel cell technology have been promising; however, these fuel cells may be unsuited for mass production due to the prohibitive cost of the platinum-group metal nanoparticles which are required as electrocatalysts. Thus, there is a pressing need for improvements to fuel cell technology such that they require much less platinum metal. This project proposes the development of nanostructured nickel materials for energy storage and generation technologies as an alternative to the platinum metal-dependent technologies. The lack of nanostructured nickel materials has severely limited the advancement of nickel-based electrochemical technology. We aim to design and synthesize novel nanostructured nickel materials which will find applications in energy and materials sciences. The discovery of these improved nickel electrocatalyst materials is projected to create a new generation of efficient alkaline fuel cells and water electrolysers.

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Faculty Supervisor:

Gregory Jerkiewicz

Student:

Marco Gibaldi

Partner:

Discipline:

Chemistry

Sector:

University:

Queen's University

Program:

Globalink Research Award

Optimization of novel UV-LED flow-through reactor

Current UV technology used to disinfect drinking water and wastewater is energy intensive, hazardous, and bulky; and the advent of light emitting diodes (LEDs) that emit in the ultraviolet (UV) range provides a unique opportunity to rethink how we design and implement disinfection technology. The overall objective of this project is to investigate the how the arrangement of UV LEDs and the hydraulic conditions in a novel bench-scale flow through UV-LED reactor affect disinfection performance. The project will be carried out in two phases. Phase I will include modeling the reactor with computational fluid dynamics software and determining the optimal experimental operating conditions. Phase II will include confirming the model from Phase I by conducting a bench-scaled disinfection study using a model challenge organism. The expected outcomes include the student learning how to operate and model the novel flow-through reactor, determining the theoretical optimal operating conditions, and developing a deeper understanding of UV reactor design.

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Faculty Supervisor:

Graham Gagnon

Student:

Kyle Rauch

Partner:

Discipline:

Engineering - civil

Sector:

University:

Dalhousie University

Program:

Globalink Research Award

A statistical method for competing risk survival analysis with clustered big data

Over the last few years, the data revolution occurred with the emergence of “Big data”. In medical field, the term big data refers to large databases in terms of patients and/or information from varied sources. Nevertheless, heterogeneity is encountered in this kind of data. Indeed, data arise from different medical centers. Furthermore, we can’t perform traditional statistical methods on these large databases: major problem are multicollinearity and overfitting. Lots of regularization methods have been proposed in order to adapt classical methods. Mittal et al. have challenged to adapt survival analysis methods to these emerging data sets. Survival analyses consist in modelling time to event in presence of censoring (unobserved event). One of the main assumption of the most popular survival model is the non-informative censoring which means that censoring is independent of the event time.

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Faculty Supervisor:

Mary Thompson

Student:

Marie DE ANTONIO

Partner:

Discipline:

Statistics / Actuarial sciences

Sector:

University:

University of Waterloo

Program:

Globalink Research Award

Development of Morphing Skin

Parallel mechanisms/robots have been developed for numerous applications. At Ryerson University, it has been implemented in morphing wing mechanism design. However, an ideal morphing skin is required to create a functional morphing wing. In addition to morphing wings, other applications may require parallel robots to be covered due to environment requirements, for example, medical, industrial, and nuclear robots. These coverings can be classified as flexible and rigid. Flexible covers are stretchable materials. Though easily manufactured, they have problems, such as sagging, ripples, and require extra force for stretching. Rigid covers are made of a series of rigid sliding panels, no sagging and no ripple with negligible actuation force, good for applications where structural strength is required, such as morphing winglet. This background motivates the research of a rigid morphing skin design. The overall outcome of the research will incorporate numerical formulation, methodology validation, and study of other possible applications.

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Faculty Supervisor:

Fengfeng Xi

Student:

Aaron Yu

Partner:

Discipline:

Aerospace studies

Sector:

University:

Ryerson University

Program:

Globalink Research Award

Physical Modeling of Debris Load in Extreme Hydrodynamic Conditions

Recent natural disasters, such as the 2005 Hurricane Katrina and the 2011 Tohoku Tsunami, have increased focus on the resilient design of coastal communities to these devastating large-scale hydraulic events. The loads from these events can be separated into hydraulic and debris loads. Debris loads, in particular, are difficult to evaluate in the field and numerically, therefore generally are evaluated in an experimental setting. To this point, the focus of debris load research has been on single debris impacts on structures. Debris damming loads, which occurs when debris accumulates at the front of a structure, resulting in increased drag forces as well as other hazards, has largely been ignored within the coastal engineering community. The proposed research project aims to evaluate debris damming in an experimental setting using the innovative Tsunami Wave Basin at Waseda University. The objectives of the research are to determine the loads associated with debris damming in extreme coastal events and provide recommendations for design loads to be included within future building standards for coastal communities.

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Faculty Supervisor:

Ioan Nistor

Student:

Jacob Stolle

Partner:

Discipline:

Engineering - civil

Sector:

University:

University of Ottawa

Program:

Globalink Research Award

The Odd Couple: Cancer and the Circadian Clock

Circadian rhythms are processes which allows animals to regulate their physiology based on time of day. These rhythms are controlled by the circadian clock, a group of transcription factors that form a feedback loop. Over 40% of the genome is transcribed rhythmically, implicating the clock in many physiological processes. The cell cycle is another process which takes ~24h to complete in mammals. This is due to several checkpoints which are present to prevent the cell from precocious progression leading to DNA damage. The clock and the cell cycle have been proposed to be linked but this remains controversial. Unregulated passage through cell cycle checkpoints can lead to cancer formation. The proposed research will use the CRISPR/Cas9 genome editing technique to observe the potential link between the clock and the cell cycle in intestinal organoids. This research may allow for the development of novel targets in cancer therapies.

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Faculty Supervisor:

Phillip Karpowicz

Student:

Kyle Stokes

Partner:

Discipline:

Biology

Sector:

University:

University of Windsor

Program:

Globalink Research Award

Crystal Orientation-Wetting Property Relationships for Cerium Oxide

Improving the durability of superhydrophobic surfaces is of significant interest in the surface engineering community. We have recently developed a novel superhydrophobic coating with a hard nanocrystalline nickel matrix and embedded hydrophobic polytetrafluoroethylene (PTFE) particles. To further improve the mechanical robustness of the non-wetting coating, the soft polymeric PTFE particles were replaced with hard, hydrophobic cerium oxide ceramic particles. However, the intrinsic hydrophobic properties of cerium oxide are not well understood. In the proposed research project, single crystal cerium oxide films with different crystallographic orientations will be produced by a pulsed laser deposition process and the wetting properties will be evaluated. Since the arrangement of cerium and oxygen atoms on the surface differs with orientation, we hypothesize that the wetting properties of cerium oxide surfaces vary with orientation. By understanding orientation effects on wetting properties, we can expect to be able to better engineer a durable superhydrophobic surface.

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Faculty Supervisor:

Uwe Erb

Student:

Jason Tam

Partner:

Discipline:

Engineering

Sector:

University:

University of Toronto

Program:

Globalink Research Award

Proteome analysis of field versus chamber acclimated winter wheat and rye crowns

The most critical region for winter wheat (Triticum aestivum L.) winter survival is the crown. Exposure to different environmental cues during cold acclimation improves the crown’s resistance to freezing. This key fact is not taken into account in the design of controlled environment experiments and may not reflect actual mechanisms of cold hardiness in the field. Acclimation to multiple environmental cues under fall field conditions could explain the improved freezing survival of field as opposed to chamber acclimated plants. It is hypothesized that in field acclimated, greater accumulation of anti-freeze and dehydrin proteins in the crown’s vascular tissues improve resistance to freezing. The expected outcome of this study is to identify specific protein markers associated with enhanced freezing resistance in the current superior freeze resistant winter wheat ‘Norstar’ and more winter hardy ‘Puma’ rye. Identification of biochemical markers associated with field acclimation will be useful to breeders’ intent on improving winter hardiness in winter wheat.

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Faculty Supervisor:

Karen Tanino

Student:

Ian Willick

Partner:

Discipline:

Forestry

Sector:

University:

University of Saskatchewan

Program:

Globalink Research Award

Neuromorphic Computing with Stochastic Binary Weights Based on Magnetic Tunnel Junctions

Many problems which are best solved by neural networks are exhibiting rapid growth in nascent and existing fields, such as natural language processing, and image recognition for self-driving cars. Current limitations in manufacturing technologies impose limits that prevent these performance demands from being met through conventional methods. Neuromorphic computing has been proposed as a potential solution for problems best solved with artificial neural networks. The memory bandwidth intensiveness of neuromorphic computing architectures gives rise to power and performance constraints, which limit scalability. Attempts in weight quantization have been made to overcome this limitation, yet even in the case of single-bit binary weights, stochastic behaviour is required to achieve adequate performance; this is turn necessitates additional circuitry, negating the cost and performance advantages of binary weights. However, the emerging technology of Magnetic Tunnel Junctions is proposed as a method to implement inherently stochastic non-volatile Logic-in-Memory in binary weighted neuromorphic computing architectures.

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Faculty Supervisor:

Warren Gross

Student:

Sean Smithson

Partner:

Discipline:

Engineering - computer / electrical

Sector:

University:

McGill University

Program:

Globalink Research Award

Investigation of Proteomic Changes Following Chilling Exposure in Resistant and Sensitive Zea Mays

A plants’ ability to withstand chilling and frost damage will dictate the geography in which production can occur. Global warming is predicted to increase chilling and frost injury in crops. It is important to note that frost injury is one of the key factors limiting production. In corn, chilling injury is an ongoing constraint for global production and expansion which affects food, feed and fuel supplies. Corn is an important model system as it is the largest crop, on a tonnage basis, produced in the world. The project is focused around developing a predictive model to find types of corn that will perform well under cold conditions. The desired outcome of the exchange is to incorporate important information on the protein contribution to the model, which would improve its predictive power and making it more versatile for a variety of academic and industry applications.

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Faculty Supervisor:

Karen Tanino

Student:

Kaila Hamilton

Partner:

Discipline:

Forestry

Sector:

University:

University of Saskatchewan

Program:

Globalink Research Award

Investigating productive uncertainty in technological intelligence practices

This project aims at investigating productive uncertainty as a determinant factor in stimulating the exploration of innovation. Data will be collected through stakeholder interviews and observations of technological intelligence practices at Université de Bordeaux’s Via Inno lab. Via Inno engages with industrial partners to explore future development opportunities, which present an ideal case study to explore conditions of uncertainty. Uncertainties introduced by the rapid pace of business and technological change drive demand for responsive methods to orient the investment strategies of firms, organizations and communities. While a lot of attention is currently devoted in developing data, computational, and analytical capabilities to facilitate the identification of strategic opportunities, less consideration is given to the influence of how the strategic intelligence itself gets framed and communicated. This study will yield significant theoretical and practical insights on how uncertainty is shaped, represented, and experienced during exploration practices.

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Faculty Supervisor:

Max Evans

Student:

Jean Archambeault

Partner:

Discipline:

Business

Sector:

University:

McGill University

Program:

Globalink Research Award

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