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

Hybrid journalism in the context of antipsychotic treatments for neurodevelopmental disabilities

Media reports on socially and biologically complex neurological conditions such as autism and fetal alcohol syndrome (FAS) often fail to engage audiences in meaningful discourse. Research is needed to identify new models of scientific reporting in journalism to counteract this gap. Our goal is to investigate and analyze a new model of science reporting that combines traditional and non-traditional approaches to effectively communicate complex scientific findings about treatments for autism and FAS. The intern will work with the partners, under academic supervision, to develop a new model of science reporting and get hands-on training at the Vancouver Sun to support the research. The industry partner will benefit from the development of a new model for science reporting as part of their ongoing work. As well as the partnership to advance research in science reporting, the Neuroethics Core Program will be able to build on to promote meaningful public discourse about neurodevelopmental disabilities.

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Faculty Supervisor:

Judy Illes

Student:

Joshua Robinson

Partner:

Vancouver Sun

Discipline:

Medicine

Sector:

Digital media

University:

Program:

Accelerate

Gasification of novel moisture-resistant fuel pellets to synthesis gas and comparison of their performance to those with commercial Power Pellets™

The proposed research deals with the gasification of novel moisture-resistant fuel pellets (developed previously in Dr. Dalai’s Lab) to synthesis gas. For this purpose the gasification process parameter will be optimized to maximize the conversion. Then the results will be scaled-up in a continuous pilot scale gasifier. These results will be compared to those with the commercial one. At the end, the technoeconomic analysis of the process will be analyzed. The partner organization will be benefitted from exploring the commercial feasibility of novel moisture resistant pellets.

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Faculty Supervisor:

Ajay Dalai

Student:

Chinmoy Baroi

Partner:

Discipline:

Engineering - chemical / biological

Sector:

Environmental industry

University:

University of Saskatchewan

Program:

Accelerate

Robust identification of protected heath information in unstructured data

A large amount of health-related data is available only in unstructured form (“free-form text”). To share this data for secondary purposes, it is necessary to de-identify it to protect against inappropriate disclosure of personal health information (PHI). PARAT Text is Privacy Analytics’ de-identification software for unstructured data. It automatically discovers and marks PHI in a variety of document formats using gazetteers and a bunch of rules. The primary problem of this tool is that it is limited by the knowledge of human experts, gazetteer lists, and lack of contextual knowledge. I plan to explore unsupervised and semi-supervised machine learning approaches to make the PHI discovery more robust. This will provide elegant and robust methods to deal with text data, which might broaden the partner organization’s consumer base.

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Faculty Supervisor:

Diana Inkpen

Student:

Varada Kolhatkar

Partner:

Privacy Analytics

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Ottawa

Program:

Accelerate

Process Modeling for Ge-on-Si Photodetectors

High-performance Ge-on-Si photodetectors are of lower cost and can be monolithically integrated with Si based integrated circuits for on-chip optical communications to increase computing speed. Process modeling is essential for structure and processing conditions design, but the current photonic design tools are too simplified for this task. This research is to implement process models in a photonic device design tool Lumerical DEVICETM. Focuses will be given on the Ge and dopant distributions at Si/Ge interfaces. Then, the processing condition impact on the Ge-on-Si photodetector performance will be studied to help locating a suitable processing window for the detector fabrication. The expected results would be an improved Lumerical DEVICETM capable of processing condition design and optimization. This project is perfectly aligned with the strategic priority of Canada as a world leader in optical communications, and will greatly facilitate the R&D of Ge-on-Si photodetectors.

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Faculty Supervisor:

Guangrui Xia

Student:

Yiheng Lin

Partner:

Lumerical Solutions Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Program:

Accelerate

Assessing and modelling climate – pollutant interactions in marine food webs in the Pacific and coastal British Columbia, Canada

Healthy ocean food webs are key to the socio-economic viability of coastal communities in British Columbia. The Vancouver Aquarium’s Coastal Ocean Research Institute (CORI) was established in 2014 to provide an ongoing assessment of the health of Canada’s oceans. This project supports this strategic priority of the CORI initiative and advances the organization’s mission to conserve aquatic resources though display, interpretation, education, research and activities. This study will develop new sustainable Environmental Quality (EQ) objectives that will allow managers to explore the implications of different pollution abatement options on the value of ‘downstream’ coastal resources such as fisheries. Climate change and ocean pollution present a risk to the economies of coastal communities in British Columbia. New EQ Objectives that incorporate economic impacts associated with different management actions will improve the resilience of coastal communities into the future and advance the overall aim of enabling sustainable economic development on Canada’s west coast.

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Faculty Supervisor:

William Cheung

Student:

Juan Jose Alava Saltos

Partner:

Vancouver Aquarium

Discipline:

Environmental sciences

Sector:

Fisheries and wildlife

University:

Program:

Accelerate

GPU Performance Auto-tuning Using Machine Learning

Optimizing a program for Graphics Processing Units (GPUs) is critical for performance, yet remains a challenge due to the non-intuitive interactions among the optimizations and the GPU architecture. Automatic optimization tuning for a GPU is demanding particularly given the exploding number of mobile GPU variants in the market. We explore the use of machine learning in optimization auto-tuning, where a statistical model is automatically built to correlate the (measured) performance of some training programs with their characteristics, and is then used to predict the best optimization configuration for a new program without execution. The resulting auto-tuner relieves the programmer from either building an analytical system model by hand or spending a massive amount of time enumerating optimization configurations. This research will form the intern’s PhD thesis, and its outcome has the potential to significantly enhance the productivity of writing high-performance programs for Qualcomm GPUs.

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Faculty Supervisor:

Tarek Abdelrahman

Student:

Tianyi David Han

Partner:

Qualcomm Canada Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Transient Production Decline Analysis of Unconventional Reservoirs with Realistic Heterogeneity and Fracture Morphology

The proposed research is a multi-disciplinary project, which aims at improving existing theories and developing innovative technologies to unlock Canada’s oil and gas resources in a more sustainable way. Theoretical models derived from physics and mathematics are to be examined with real data, and new approaches will be developed to face the technical challenges. Mentorship and realistic field feedbacks from the industry are of great importance to the intern’s research work. Available daily production data from the operating company are used to diagnose the physical conditions of underground oil and gas pools, and to help decision makers plan future activities with higher level of confidence and thus reduce risks of project failure and environmental impact to the public.

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Faculty Supervisor:

Gary (Gang) Zhao

Student:

Lei Xiao

Partner:

Husky Energy Ltd.

Discipline:

Engineering - petrochemical

Sector:

Energy

University:

University of Regina

Program:

Accelerate

Evaluation of strength loss in heat affected zone of 6061-T6 aluminum alloy welded joints and it’s improvement by local post weld-heat treatment

Bombardier Transport (BT) is one of world major companies in the transport industry. The application of aluminum in the structure of transport vehicles (cars, trains, ships, etc.) is continuously increasing mainly due to the benefits in weight saving. Therefore BT is also working extensively in implementing the use of aluminum alloys in its products. Welding is one of the major manufacturing techniques used in the structure of transport vehicles. One of the common welding problems in aluminum alloys is the strength loss in heat affected zone (HAZ). As HAZ is subjected to one or more heating and cooling cycles during welding, the strength in this zone is decreased. The aim of this project is to apply a metallographic and mechanical experimental work in order to determine the micro-hardness and strength in weld cross section. Change of mechanical properties in heat affected zone by its distance from centerline of weld will be investigated and the exact limits of the zone subjected to strength loss will be determined.

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Faculty Supervisor:

Mohammad Jahazi

Student:

Amir Keyvan Edalat Nobarzad

Partner:

Bombardier Transportation Canada Inc.

Discipline:

Engineering - mechanical

Sector:

Automotive and transportation

University:

Program:

Accelerate

Network Function Virtualization (NFV) Driven Micro Service Architecture for Value Added Video Streaming Services in Content Delivery Networks

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence. These application platforms will be supported by an extended computing cloud, encompassing a virtual converged infrastructure and control software that also serves as a live testbed for exploring novel concepts in application-oriented networking, cloud computing, integrated wired/wireless access, and smart applications. Novel software applications will build on advanced services provided by the platform, including context, mobility, location, identity, social network, media recognition, and intelligence. The SAVI network will involve the academic community in the creation of new content and novel applications. This MITACS proposal is to support a SAVI internship program that will strengthen the Canadian industrial base in information and communications technology through the preparation of highly qualified manpower with expertise in the design and operation of globally competitive ICT infrastructure and the creation of innovative and disruptive products, services, and applications. TO BE CONT’D

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Faculty Supervisor:

Roch Glitho

Student:

Narjes Taghigh

Partner:

Ericsson Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Concordia University

Program:

Accelerate

An examination of the determinants of certification and licensure examination methods in Canada

In Canada, the majority of the regulated occupations in Canada are controlled by provincial and territorial law and are governed by professional bodies with the authority to set entry requirements and standards of practice and to issue licenses and/or certificates of practice to qualified skilled labour (CICIC, 2006). There is an increasing demand for professionalism generates concerns on accreditation and occupational requirement. To respond to this industry trend, the current research project will examine how different regulatory agencies in Canada examine their potential members. A multivariate regression model will be used to explore the determinants of a regulatory agency?s willingness to use various examination systems and the determinants of their standards of examination. In conclusion, this research will shed light on the influence of an occupation?s characteristics on examination methods and difficulty, while allowing the industry partner an opportunity to explore the possibility of transferring this examination system to other regulated occupations in British Columbia and Canada.

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Faculty Supervisor:

Eric Li

Student:

Andy Xiao Ping Yue

Partner:

0944303 BC Ltd

Discipline:

Business

Sector:

Information and communications technologies

University:

Program:

Accelerate

Development of peptide-based probes as imaging and targeting agents for glioblastoma therapy

Glioblastoma (GBM), the most aggressive primary brain tumors in adults, is feared for its near uniformly fatal prognosis. Due to its infiltrative nature, surgery alone is ineffective in disease eradication. We originally identified abnormal cancer stem cells called brain tumor-initiating cells (BTICs) that lead to the formation of this brain tumor. These BTICs are known to be resistant to current chemoradiotherapy and act as disease reservoirs that contribute to recurrence. Using clinically relevant human GBM BTIC models from treatment resistant recurrent tumors, our collaborator Dr. Steve Robbins employed an unbiased combinatorial phage-display biopanning strategy to isolate peptides that home in vivo to disease reservoirs within GBM; especially the invasive and stem-like populations. We aim to develop these peptides for molecular imaging and clinical targeting of treatment resistant GBM BTICs, with the ultimate goal of improving patient outcomes.

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Faculty Supervisor:

Sheila Kumari Singh

Student:

Parvez Firoz Vora

Partner:

Arch BioPartners

Discipline:

Medicine

Sector:

Life sciences

University:

McMaster University

Program:

Elevate

Training, engagement, and retention: a ?learning region? approach to rural youth

Youth are tomorrow?s leaders, parents, professionals, and workers, as well as today?s assets. However, the disengagement and out-migration of rural youth are critical challenges for rural communities and regions. In the Lower Columbia and surrounding West Kootenay-Boundary region these challenges are compounded by struggles to meet existing labour force needs. This project will review, summarize, and distribute existing information related to youth training, engagement, and retention to help inform relevant actors in the region. By improving their understanding the Lower Columbia Initiatives Corporation (LCIC) and other actors will be in a better position to more effectively support and engage youth within the region, as well as addressing workforce development challenges. This project will result in a tailor made, detailed action plan to help the LCIC take a collaborative and regional approach to the training, engagement, and retention of youth.

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Faculty Supervisor:

Sean Markey

Student:

Sarah-Patricia Breen

Partner:

Lower Columbia Initiatives Corporation

Discipline:

Environmental sciences

Sector:

University:

Simon Fraser University

Program:

Accelerate

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