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

Large-Area High-Performance Transparent Electrodes for Pen/Touch Sensor Research

Transparent electrodes (TEs) combine high optical transparency and electrical conductivity, useful in different devices such as light-emitting diodes, displays and solar cells. A highly competitive market of electronic devices, such as phones and flexible touch screens as well as a worldwide increasing demand for energy, drives research to improve the performance of TEs. However, mass production of high-performance TEs is expensive due to costly materials and fabrication techniques. The objective of this project is to develop a cost-effective technique for fabrication of high-performance large-area flexible TEs. The resulting TEs must be capable of being connected to other interfaces and electronics, and, in the case of use in a touch sensor, must be able to support high precision, touch object differentiation, and palm rejection. The primary goal is to create a technology for I2X Technologies that enables mass production of metre-scale advanced flexible touch screen devices in a cost-effective manner.

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Faculty Supervisor:

Rustom Bhiladvala

Student:

Mahshid Sam

Partner:

I2X Technologies Inc

Discipline:

Engineering - mechanical

Sector:

Nanotechnologies

University:

University of Victoria

Program:

Elevate

Maritime Domain Awareness: A Service-oriented Analytic Framework

Maritime situation analysis is critical for dynamic decision-making in responding to real-world situations. Rapidly unfolding situations that pose an imminent danger or threat to critical infrastructure or public safety require interactive decision-making to enable a swift response. The main objective of this project is to design a robust methodical framework for the development of intelligent systems and services for real-time anomaly detection in marine traffic, applied to large volume maritime surveillance operations. Striving for scalable and extensible solutions, the framework combines data-driven with model-driven situation analysis methods and uses a high performance maritime data warehouse as an integral part of the architecture. This is a joint project with MDA Systems Ltd. to strengthen their strategic R&D initiative to provide intelligent decision-support for Canadian Coast Guard, Canadian Space Agency, and National Defence to protect the sovereignty of Canada’s coasts, including the Arctic.

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Faculty Supervisor:

Uwe Glasser

Student:

Hamed Yaghoubi Shahir

Partner:

MDA Corporation

Discipline:

Computer science

Sector:

Automotive and transportation

University:

Simon Fraser University

Program:

Elevate

Optimization of novel drugs to treat cardiac arrhythmias

This project aims to validate and optimize drugs to treat heart rhythm disorders. The heart is a complex organ that uses tiny electrical signals to maintain a healthy rhythm. When these electrical signals are disturbed, it can change the regular rhythm, which can result in life-threatening consequences such as sudden cardiac death. Here, I will visualize one of the components of the heart that is responsible for the electrical signals, a specialized protein known as the ‘sodium channel’. I will look at the three-dimensional structure of this component both with and without drugs bound to it. This will tell us how exactly these drugs affect the function of the sodium channel, and also allows us to predict the drugs that can bind better and that are less likely to have side effects. I will then test such improved drugs through various biochemical assays.

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Faculty Supervisor:

Filip Van Petegem

Student:

Pankaj Panwar

Partner:

Xenon Pharmaceuticals Inc

Discipline:

Biochemistry / Molecular biology

Sector:

Life sciences

University:

University of British Columbia

Program:

Elevate

GPU platforms for highly parallel EMT simulation

A parallelized electromagnetic transient (EMT) simulation tool for power system transients will be developed in this research to accelerate the internal computation process. An EMT simulator uses a highly detailed representation for the power systems components. Conventional EMT simulators typically execute sequentially on a single processor; and computational effort increases significantly with network size. Graphics Processing Units (GPUs) have massively parallel architecture and can accelerate EMT simulation. The investigator’s recent Ph.D. research, was of a preliminary nature, and showed promising performance gain for GPU based EMT simulations. The main focus of this project is to explore the suitability of deploying multiple EMT instances on GPUs to increase the simulation speed for cases requiring concurrent processing of the EMT sub-systems. Also a larger class of parallelized models will be developed for GPU implementation for complex power systems components such as high-voltage dc (HVDC) transmission systems.

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Faculty Supervisor:

Aniruddha Gole

Student:

JAYANTA KUMAR DEBNATH

Partner:

Manitoba HVDC Research Centre

Discipline:

Engineering - computer / electrical

Sector:

Education

University:

University of Manitoba

Program:

Elevate

Long-term response of boreal forest bird community to changes in habitat structure and configuration due to forestry and other land uses

Long-term effects of forest harvest and other land uses on boreal forest birds are unknown, because most studies of forestry practices on boreal birds occur over short periods, while effects of habitat fragmentation may be realized over longer periods and affected by climate change. I will analyze >20 years of forestry treatment and bird abundance data from Alberta forest sites that were revisited yearly to survey birds, and use results from these analyses to predict bird abundance within future land use scenarios created by timber supply and land use simulation software. These analyses will help me to predict how boreal birds respond to long-term changes in forest structure, area, and configuration, and will enable the Mitacs partner (Al-Pac) to create long-term plans balancing timber and pulp supply with conservation needs of boreal forest birds and other wildlife like caribou.

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Faculty Supervisor:

Erin Bayne

Student:

Lionel Leston

Partner:

Alberta-Pacific Forest Industries Inc.

Discipline:

Biology

Sector:

Oil and gas

University:

University of Alberta

Program:

Accelerate

Development of new on-site sampling, high-throughput and high sensitive analysis for determination of small molecules in saliva

Saliva is a promising alternative specimen since it is easy and non-invasive to collect, and available at any time. Solid-phase microextraction (SPME) has been recently introduced as a green, simple, fast and sensitive sample preparation technique for high-throughput and in vivo analysis of drugs in various biological fluids, including saliva. The proposed research aims at combining the latest advanced in SPME and PerkinElmer’s Canada liquid chromatography-mass spectrometry technologies for 1) development of high sensitive and high-throughput analysis of drugs in saliva, 2) development of SPME procedures for rapid on-site extraction of drugs from saliva, 3) investigation of blood/saliva excretion of small molecules, and 4) development of disposable and single use SPME probes for creation of new saliva-based products for i) therapeutic drug monitoring, ii) doping control and iii) roadside testing for drug-impaired driving

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Faculty Supervisor:

Janusz Pawliszyn

Student:

Vincent Bessonneau

Partner:

University of Waterloo

Discipline:

Chemistry

Sector:

Environmental industry

University:

University of Waterloo

Program:

Elevate

Multi-Criteria Supply Chain Design and Management Tool for Food Convergent Innovation in Dairy Business

The project will develop a firm-level multi-criteria supply chain design and management tool for Parmalat that will accommodate conflict and convergence between requirements for lean, agile, green, resilient, and nutrition characteristics that are all needed for convergent innovation (CI) in the dairy sector supply chain. A three-pronged program of activity is proposed in this project that comprehends: (1) a multi-layered supply chain analysis for four of the core product categories at Parmalat (yogurt, hard cheese, drinking milks and ingredients/whey protein), with methods anchored in lean production principles and progressively adding considerations of agile, green, resilient and nutrition characteristics; (2) an institutional analysis of the supply management context in the Canadian dairy sector to identify constraints and possibilities for food manufacturing companies in domestic and international markets; (3) a multi-stakeholder, multi-criteria decision making process for the firm-level tool development per se.

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Faculty Supervisor:

Laurette Dube

Student:

Byomkesh Talukder

Partner:

Parmalat Canada

Discipline:

Business

Sector:

Environmental industry

University:

McGill University

Program:

Elevate

An exploration of community-organised social enterprise in the development of local food system infrastructure

This research will explore how community organised social entrepreneurship and enterprise can be used to build and strengthen local food systems in the Capital Region of British Columbia. It will ask questions about how effective social entrepreneurship could be in developing warehousing, distribution and processing services that are compatible in scale and quality with community-based local food system objectives and values. It will ask about the blended value that social entrepreneurship could bring to achieving environmental, ecological and social goals while shifting the food system away from industrial food production and toward more sustainable and resilient local production. The research will provide new information and knowledge to the innovation that industry partner, Thrifty Foods, is interested in bringing to the expansion of its local food initiatives in the region and beyond.

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Faculty Supervisor:

Siomonn Pulla

Student:

Patricia Reichert

Partner:

Thrifty Foods

Discipline:

Sociology

Sector:

Consumer goods

University:

Royal Roads University

Program:

Accelerate

Automatch

Often, a single employment notice may receive hundreds of applications. Manual inspection of applications is extremely time-consuming, and may be approximated by a computer program. Such a program would automatically extract a number of features from each application. For example, relevant work experience, skills, and qualifications might represent appropriate features. After extracting these features, the system would be able to score and rank applications in an effort to reduce the number of applications that would then need to be reviewed. The quality of the various features is estimated using various machine learning techniques that are trained on previously assessed applications.

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Faculty Supervisor:

Greg Kondrak

Student:

Garrett Nicolai

Partner:

Hour Group Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Alberta

Program:

Accelerate

Engineering Synthetic D-Proteins as Novel and Transformative Molecular Therapeutics Against Cancer Targets

Proteins can exist in two forms: left-handed (L) or right-handed (D); however, for indeterminate reasons life on this planet only uses the L-form. When studied in more detail, both protein forms possess identical physiochemical and biological properties. Yet, D-proteins show minimal proteolytic degradation and fail to elicit immune responses in animals, due to their unnatural arrangement for recognition in biological systems. Accordingly, the proposed project seeks to develop synthetic D-proteins as biopharmaceutical molecules. We will utilize a method of high-throughput selection, previously established for selection of antibodies, to isolate D-proteins to target cellular receptors involved in cancer. In this regard, D-protein therapeutics will allow for longer circulation of peptide drugs in the body, and also render them less immunogenic and toxic. More exciting, is our collaboration with the CCAB, which will bridge the research and discovery with industry partners to enable the accelerated delivery of D-protein as therapies.

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Faculty Supervisor:

Jason Moffat

Student:

Gallo Eugenio

Partner:

University of Toronto

Discipline:

Biochemistry / Molecular biology

Sector:

Pharmaceuticals

University:

University of Toronto

Program:

Elevate

Definition of attributes of a TB vaccine critical to antigen uptake, processing and presentation

The way a vaccine performs after injection is not completely understood and not all vaccines behave in the same way. To make a vaccine we must understand what is important or critical to make it work. For example a vaccine may have specific features such as its size or shape that are critical to the way the body reacts to it. When we know what these critical factors are then we make sure these are monitored and controlled as early possible in vaccine development. In this way we build quality into the product right from the start. The following project sets out to determine what characteristics of a vaccine are critical to the way it is taken up and processed by the body. The intern will have unique exposure to Sanofi Pasteur, a global vaccine manufacturer, while the partner will have access to the latest innovative imaging technologies at the University of Toronto.

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Faculty Supervisor:

Mauricio Terebiznik

Student:

Shannon Cheuk Ying Ho

Partner:

Sanofi Pasteur

Discipline:

Biology

Sector:

Information and communications technologies

University:

Program:

Accelerate

Network Traffic Profiling for generating intrusion detection evaluation datasets

Intrusion detection has attracted the attention of many researchers in identifying the ever-increasing issue of intrusive activities. In particular, anomaly detection has been the main focus of many researchers due to its potential in detecting novel attacks. However, its adoption to real-world applications has been hampered due to system complexity as these systems require a substantial amount of testing, evaluation, and tuning prior to deployment. Running these systems over real labeled network traces with a comprehensive and extensive set of intrusions and abnormal behavior is the most idealistic methodology for testing and evaluation. This itself is a significant challenge, since the availability of datasets are extremely rare, because from one side, many such datasets are internal and cannot be shared due to privacy issues, and on the other hand the others are heavily anonymized and do not reflect current trends, or they lack certain statistical characteristics so a perfect dataset is yet to exist. TO BE CONT’D

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Faculty Supervisor:

Ali Ghorbani

Student:

Iman Sharafaldin

Partner:

IBM Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of New Brunswick

Program:

Accelerate

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