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

Investigation and Implementation of Integrated Electronic Scanning Automotive Radar Sensor front-end module at 77/79GHz band for Short and Long Range, High Angle and Range Resolution detection

The main objective of this project is to investigate, design, fabricate and characterize an integrated front end module for next generation of automotive radar sensors, which have the ability of pedestrian detection and detecting short-range and long-range objects
around the car. To meet such requirements and to reduce the size of the radar sensor, next generation of automotive radar sensors should be designed at millimeter wave (76-81 GHz) with sufficiently low production cost for mass market. This introduce several research
challenges in both transceiver and antenna array. This area is an active research and development program of the industrial partner
(MMSense Technologies) and the post-doctoral fellow will contribute in research of low cost antenna array in LTCC technology, as well as beam-forming transceiver front-end technology research including Low noise amplifier (LNA), power amplifier (PA) design, phase shifter in low cost CMOS Technology.

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Faculty Supervisor:

Safieddin Safavi-Naeini

Student:

Seyyed Hassan Mousavi

Partner:

MMsense Technologies

Discipline:

Engineering - computer / electrical

Sector:

Advanced manufacturing

University:

University of Waterloo

Program:

Accelerate

Gaining Insight from Crash Reports and Bug Reports

This project seeks to address the flood of bugreports and crashreports that software companies must address when they build consumerfacing software. Organizations can easily face 50,000 crash reports per day. Developers cannot manually sift through them all. The goal of this work is to exploit modern search engine technology and crash report representation to enable the fast and efficient querying, clustering, and reporting of crash reports so that developers do not have to group crash report manually. This enables an organization, such as our partner organization, to be aware of new issues arising as well as to efficiently address
issues that endusers are facing during deployment. The same is true of bug reports. Multiproduct bug reports are numerous and hard to address manually. Partner organizations benefit from increased software quality assurance efficiency, Canadian industry benefits from the release of powerful opensource tools, and interns benefit from industrially relevant training.

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Faculty Supervisor:

Abram Hindle

Student:

Joshua Charles Campbell

Partner:

BioWare

Discipline:

Computer science

Sector:

Digital media

University:

University of Alberta

Program:

Accelerate

Exposing the Invisible ? Wind?s Potential in Architecture

The objective of this project is to improve the communication between architects and wind engineers so that affects associated with wind such as pedestrian comfort, building strength and ventilation may be considered earlier on within the design phase of a project. By documenting the development of the invisible yet extremely prominent winds that flow through the intersection of Bay and King in Toronto, Ontario, I hope to apply and emphasize how key concepts of aerodynamics apply to a full-scale example that is relatable. It is my intention that the visualizations included within this guide to using wind as a design tool, explain concepts in intuitive ways that architects and other non-engineers can learn from and apply. Instead of creating buildings closed off from the environment, wind could become a part of the design of a building in order to expand our ideas of what architectural form, technologies and experiences could be created.

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Faculty Supervisor:

Elizabeth English

Student:

Kimberley Adamek

Partner:

Rowan Williams Davies and Irwin Inc.

Discipline:

Architecture and design

Sector:

Natural resources

University:

University of Waterloo

Program:

Accelerate

Evaluation of Systemic Implementation of Collaborative and Proactive Solutions for Improving the Well-being of Students at Risk and Their Teachers

One in five youth exhibit maladaptive (i.e., externalizing, oppositional, explosive, aggressive) behaviours. These behaviours are costly in that they are linked to elevated levels of student, teacher, and familial stress. Collaborative and Proactive Solutions (CPS), developed by Dr. Ross Greene (project collaborator) at Harvard University, teaches individuals to explore cognitive, emotional, social, and learning challenges to better understand factors that underlie problem behaviours that when targeted improve child outcomes. Past research has shown that CPS is associated with decreases in parenting and teacher stress and oppositional behaviours in children. This project will extend this research by exploring the process and impact of community-wide training for professionals across the multiple sectors serving these children. We will examine outcomes for children (e.g., behaviour, school engagement and achievement, self-esteem), and professionals and parents (e.g., empathy, stress). A training manual to support further dissemination of CPS in this community (and beyond) will be developed.

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Faculty Supervisor:

Karen Milligan

Student:

Alexandra Irwin

Partner:

Point in Time Centre for Children, Youth, and Families

Discipline:

Psychology

Sector:

Education

University:

Ryerson University

Program:

Accelerate

Development of an ATR-FTIR based method for detection of milk adulteration

Milk adulteration is a very common practice in the field of dairy production in certain countries, where different methods are used to adulterate milk. Such methods vary in their sophistication from simply adding water to using different chemicals such as urea and melamine, which usually countervail the effects of adding water on indices used to measure certain characteristics (e.g., lowering freezing point, or mimicking protein content) of milk like freezing point value and protein content to detect the addition of water. These additions have negative effects on both consumer health and the dairy industry, which makes the development of a reliable rapid detecting method of such adulterants a crucial need. Recent reports in the literature have demonstrated the potential of ATR-FTIR spectroscopy as a means of differentiating between raw milk and adulterated milk samples. The infrared spectrum of an adulterated milk sample showed distinct features that are not present in raw milk.

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Faculty Supervisor:

Ashraf Ismail

Student:

Mazen Bahadi

Partner:

Discipline:

Food science

Sector:

University:

McGill University

Program:

Accelerate International

Investigation of Pore-scale Mechanisms of Applying CO2 Huff-and-Puff to Enhance Shale Gas Recovery with Nuclear Magnetic Resonance

Considering the unique properties of CO2 under supercritical condition, CO2 is proposed to be used in huff-and-puff treatments to enhance shale gas recovery from shale gas formations. This research project will look at the fundamental pore-scale mechanisms when CO2 huff-and-puff is used for enhancing methane recovery from shale formations. In order to obtain pore-scale mechanisms of applying CO2 huffand-puff to enhance shale gas recovery, a series of CO2 huff-and-puff experiments will be conducted in conjunction with the NMR measurements. Meanwhile, the effect of wettability, injection pressure, operating temperature, permeability, and water saturation on shale gas recovery will also be evaluated. After finishing this research, we will reveal the pore-scale mechanisms of CO2 huff-and-puff in enhancing shale gas recovery, provide pragmatic guidelines for effectively carrying out CO2 huff-and-puff in the field, and also explore the technical feasibility of CO2 storage in shale formations.

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Faculty Supervisor:

Huazhou Li

Student:

Yueliang Liu

Partner:

Discipline:

Engineering - civil

Sector:

University:

University of Alberta

Program:

Globalink Research Internship

Response of leaf vein pattern to environmental change

We will investigate how plants change leaf vein structure to adapt to environmental changes triggered by climate change. Leaf venation is important for plant nutrient transport and efficient water use. Since making veins requires considerable energy, plants regulate vein density to suit the environment, increasing vein number and connectivity with decreasing water. Different leaf forms are very obvious in aquatic plants: above water, leaves are simple with many connected veins, below water, leaves are dissected with few, disconnected veins. We have identified genes important for vein pattern in Arabidopsis, and will now identify them in aquatic plants. To compare their expression, I have fused the promoter region (triggers expression) of various genes to the gene whose expression produces a blue colour. The amount and location of blue will predict expression of the vein pattern gene. I will delete promoter regions, to assess their importance to gene expression under different conditions.

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Faculty Supervisor:

Elizabeth Schultz

Student:

Kurtis Clarke

Partner:

Discipline:

Biology

Sector:

University:

University of Lethbridge

Program:

Globalink Research Award

Calibrating static errors in Adaptive Optics systems for Extremely Large Telescopes

The proposed research project involves calibrating an Adaptive Optics system – a technology that essentially corrects telescopes for the changing atmosphere so that the ‘twinkling’ is taken out of stars. This technology has become increasingly complex, an example being the proposed instrument called NFIRAOS that will be built by Canada for the future Thirty Meter Telescope (TMT). The increased complexity of this technology requires that small internal errors in the system be corrected for; I have developed a technique to do this and would like to further enhance my methods at Laboratoire d’Astrophysice de Marseille (LAM) in France. This institution is home to researchers who are world-leading experts in my field and could provide valuable insight in how to improve my methods. The researchers at LAM work with the European version of the TMT, therefore working with them to improve both of our calibration methods will enhance the collaboration between the European and North American
astronomical community.

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Faculty Supervisor:

David Andersen

Student:

Masen Lamb

Partner:

Discipline:

Physics / Astronomy

Sector:

University:

University of Victoria

Program:

Globalink Research Award

Application of Artificial Neural Network for the Optimization in Biodiesel Production

The proposed project related to renewable energy field will be undertaken by Dr. He’s student, Xingyu Peng. She will have to conduct many experimentations to produce biodiesel from waste cooking oil under changes of operational conditions. After that, she will learn and figure out how to use an artificial neural network (ANN) software in order to find out an optimized operational condition in biodiesel production to obtain the maximum yield. The outcomes would be a great contribution to environmental sustainable development in Canada especially under the context of climate change and resource depletion.

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Faculty Supervisor:

Quan He

Student:

Xingyu Peng

Partner:

Discipline:

Engineering

Sector:

University:

Dalhousie University

Program:

Globalink Research Award

Exploring the Utility of Physical Visualization Construction

Physical visualizations are representations in which data is mapped to physical form, rather than the pixels or ink of traditional visualizations [6]. Creating such representations using tangible tiles (i.e. constructive physical visualization) is an accessible paradigm for visualization novices to construct representations [5]. Is this approach worth the greater time investment it requires over more automated tools? The purpose of this project is to explore the utility of the process of constructing of physical visualizations. From this work, we expect to gain knowledge of i) which parts of the construction process are useful, ii) in what way they are useful, and iii) where and iv) for what type of user they might be useful. From this, we will identify design requirements for new tools to support constructive visualization. If the construction process itself has value, then we should consider designing digital and tangible-digital tools that allow visualizations to be created in a constructive manner, rather than strictly through automated functions.

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Faculty Supervisor:

Anthony Tang

Student:

Jennifer Payne

Partner:

Discipline:

Computer science

Sector:

University:

University of Calgary

Program:

Globalink Research Award

Functional and topological insights into plant triacylglycerol synthesis enzymes

Laure Aymé is a PhD student focusing her research on a plant protein family involved in lipid biosynthesis and important for oil accumulation and biotechnological purposes. Laure recently published an article describing the function and localization of a protein inserted in two distinct cellular compartment membranes, a rather unique situation with few available data. During her stay in Canada, Laure will build a model of the protein insertion into membrane using an experimental set-up designed in Prof. Weselake’s laboratory. It requires the construction of protein mutants in a yeast strain that she has already successfully used. Expected results include a confrontation of the protein insertion in both compartments which is a poorly tackled question. Protein motifs and regions determinant for activity and/or targeting will be highlighted through a live-cell-based assay performed on mutants. Results should be published shortly after the project. Candidate skills and doctoral thesis will greatly benefit from these innovative experiments and cultural experience abroad.

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Faculty Supervisor:

Randall Weselake

Student:

Laure Aymé

Partner:

Discipline:

Food science

Sector:

University:

University of Alberta

Program:

Globalink Research Award

Simulation platform development for reserved car market

The two last years, the emergence of car mobile applications (Uber for example) has disturbed the taxi industry. This new market is becoming more predominant and no solution has been found to reach an objective equilibrium with the older modes of transport. This problem is appearing all around the world with different companies depending on the country. By analyzing a group of precise data and with complex simulations gathering the different transport modes, the project wants to have a better comprehension of this new phenomenon. Its goal is to propose new ideas and new approaches in order to come closer to a fair solution.

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Faculty Supervisor:

Bilal Farooq

Student:

Alexis Pibrac

Partner:

Discipline:

Engineering - civil

Sector:

University:

Polytechnique Montréal

Program:

Globalink Research Award

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