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

Software Acceleration of Video Noise Filtering and its integration into real-time video applications

The project is mainly in the domain of achieving real-time computational speed of methods to  remove noise from video signals (for example, those taken by a professional cinema camera). Specifically, in this project, we propose first to improve the speed of current technology that we have developed in previous MITACS projects, in order to make it commercially valuable and second to integrate this new real-time technology into video applications that require noise-free inputs in order for them to have high performance output. The architecture of personal computers allows us to use several processing units simultaneously and this lead to speed up significantly but the program code should be well managed to use all of these resources together. Since currently our code does not have this feature and processing speed is slower than desired, by modifying the program we expect to meet the acceptable speed. We are targeting two important applications: video compression and face recognition. Early investigation shows that we will noticeably improve their performance by either removing noise from their input or estimating that noise.

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Faculty Supervisor:

Dr. Aishy Amer

Student:

Meisam Rakhshanfar

Partner:

TandemLaunch Technologies Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Concordia University

Program:

Accelerate

Development of CFD model applied to fluidized beds for waste gasification

Gasification of wastes (either urban waste or residues from forest and agricultural operations) at large scale is a challenging operation because of the heterogeneity of the feedstock. Enerkem has addressed such challenge via its state-of-the art Bubbling Fluidized Bed (BFB) technology coupled with secondary Cracking and Reforming that results in high conversion of Carbon to syngas and a quality of the Syngas that makes it suitable for Catalytic Processing. The Enerkem approach provides a sustainable alternative to both landfill and incineration. As a guide for the engineering scale up and in order to optimize the performance of the technology, advanced modeling tools are to be adapted to such systems. Identified areas for optimization include: enhanced feedstock flexibility, higher energy efficiency and lower operational and maintenance costs. Based on a fully functional demonstration plant at Westbury, the project aims to develop Computational Fluid Dynamics (CFD) models in order to predict and optimize the BFB behavior. Specifically, a 3D thermo-fluid dynamics model will be developed for visualization of flow and thermal fields in the BFB. Specialized CFD software and Sherbrooke University’s high performance computer will be used to perform the numerical simulations. The results from this project have strong potential to be rapidly implemented into commercial gasifiers by Enerkem.

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Faculty Supervisor:

Dr. Jean-Michel Lavoie

Student:

Micael Boulet

Partner:

Enerkem

Discipline:

Engineering - chemical / biological

Sector:

Alternative energy

University:

Université de Sherbrooke

Program:

Accelerate

A semantic-based packet forwarding model for SDN

Software designed Networks (SDN), in particular OpenFlow and FORCES, encourage the writing of network protocols and policies as programs with the stated goal to make those programs ever more expressive, more predictable, more evolvable and more usable. Within the OpenFlow initiative, the level of programmability is expressed in a set of policy rules that are distributed over a set of matchfield tables. The rules are expressed as matchfields and actions whereby the matchfields require searching over a 14-tuple structure. This is the main bottleneck issue for flow packet processing.

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Faculty Supervisor:

Dr. Omar Cherkaoui

Student:

Khalil Blaiech & Hamadi Salaheddine

Partner:

Ericsson Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Université du Québec à Montréal

Program:

Accelerate

Treatment of cyanobacteria by flotation

The AquaDaf® is a high speed clarifier for the treatment of surface water with algae. The objective of the project is to perform a laboratory study permitting the optimization of the treatment of cyanobacteria with Aquadaf and in particular to establish a protocol to compare the removal rates of cyanobacteria by flotation and to verify the capacity of the process flotation to avoid cyanobacteria lysis which would liberate toxin release. The project includes literature review on cyanobacteria removal by flotation, protocol establishment and laboratory result analysis and the preparation of a final report and presentation. The benefit to Degremont is that it would allow development of AquaDAF® as an eutrophication treatment method, that focuses on the problem at different phases.

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Faculty Supervisor:

Dr. Catherine Mulligan

Student:

Noah Saber-Freedman

Partner:

Degremont Ltée

Discipline:

Engineering - civil

Sector:

Environmental industry

University:

Concordia University

Program:

Accelerate

First Nations Entrepreneurship Development, Capacity Building and Governance: Applied Perspectives

The proposed research project objectives are to enable the participating First Nations to identify strengths and weaknesses related to economic development and governance; develop policies and support for entrepreneurship; develop programs for capacity building; strengthen leadership and management skills; build trust and new networks that will inform and involve outsiders. The partners, Heiltsuk Nation, Haida Nation, COF and Beedie School of Business, understand that First Nations’ autonomous economic development contributes to the overall health of the community and they are keen on gaining broader understanding on how to accomplish this in their communities. At the same time, they are interested in sharing their knowledge with other First Nations communities in order to collectively build stronger, healthier and sustainable communities. The research cluster will contribute to an understanding of the interrelatedness of economic development activity in First Nations Communities. By focusing on two COF member Nations, the knowledge gained throughout will be sharable and of interest to other Nations.

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Faculty Supervisor:

Dr. Mark Selman

Student:

Dawid Nogas

Partner:

HaiCo

Discipline:

Business

Sector:

Finance, insurance and business

University:

Simon Fraser University

Program:

Accelerate

Exploitation of special functions orthogonal on finite domains of 2D and 3D lattices-Fourier expansions of functions sampled on lattices

The advantages of digital data (signal functions) processing have made this technique a standard for processing real world analog data in many areas of life, from music industry to seismology. Stored digitally, the data also become less sensitive to physical limitations than their analog counterparts. Other advantages include straightforward low frequency filtering procedures (e.g. as required in seismology, oceanography and other environmental monitoring), as well as frequency bounding (e.g. in telecommunications, sending large bandwidth signals over a narrow bandwidth). To transform analog functions to their digital counterpart, a discretization is necessary to obtain their corresponding lattice based versions. In many problems, it is sufficient to use discrete Fourier expansions of data sampled at equidistant points of a line (in 1D), or on a square lattice formed by two orthogonal 1D lattices (in 2D). We propose to develop and evaluate the methodology which will make use of the special symmetry properties of data that will be reflected in more efficient expansions, e.g. data sampled in 2D on a triangular lattice which will significantly improve multidimensional signal processing in terms of computational speed, memory and hardware requirements. The proposed methodology will be developed using semi-simple Lie group theory.

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Faculty Supervisor:

Dr. Jiri Patera

Student:

Marzena Szajewska, Lenka Motlochova & Gayane Malkhasyan

Partner:

M-Health Solutions

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Université de Montréal

Program:

Accelerate

Industrial Health and Safety Data Management and Training Mobile Platform

Accidents can be predicted and avoided with the use of health and safety data management software. (Guzman 2013) While a variety of IT health and safety management solutions have been developed for Fortune 500 companies, few of these solutions meet the needs of small and medium-sized businesses. One that does is Business2Mobile’s (B2M) Web API Data Management platform, which can help small and medium size companies to keep track of health and safety data. This research will help to measure market size and competitors, and will identify gaps within the marketplace. The project scope is to analyze market scenarios and trends, give recommendations and develop a market penetration strategy. Intern will use different research methodologies, including internet research, interviews, surveys, and case studies, to collect information that will assist B2M in improving their products and services. Further, they will benefit from the strategic plan intern develops, which will have recommendations for the expansion of their products and services.

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Faculty Supervisor:

Dr. Terrance Power

Student:

Chiragkumar Khasia

Partner:

Business 2 Mobile Communications Inc.

Discipline:

Business

Sector:

Information and communications technologies

University:

Royal Roads University

Program:

Accelerate

Local in situ Controlled Delivery of Biphosphonates in Bone Metastasis

We propose to develop in collaboration with Medtronic Canada a bioceramic drug delivery system for the local controlled release of Biphosphonates (BP) – drugs that prevent bone resorption – to promote both tumor inhibition and bone regeneration at the site of bone tumor resection, eliminating the need for high systemic doses and side effects associated with BP. To this end we will fabricate bioceramic bone grafts by 3D printing, a technique that not only allows us to personalised each implants according to the exact geometry and location of the bony defect but also to endow the implant with internal structure that can be used to store or control the release of bioactive agents. Interns will each participate in a detailed aims of the project, including laboratory work with and without cells. This work will ultimately lead to testing in standard bone-tumor animal models. This work using novel fabrication technique of bone graft fits with Medtronic’s orthobiologics and biosurgery for bone repair product lines and R&D interests. Close collaboration with a group of experts in biomaterials and clinical and pre-clinical research at the Montreal General Hospital for developing and pre-clinical testing of such a novel combination of drugs and bioceramic implants will bring added value to their core competency and bolster their knowledge in an area of great scientific and economic potential.

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Faculty Supervisor:

Drs. Jake Barralet & Micheal Weber

Student:

Jacob Lavigne, Zeeshan Sheikh & Maryse Fortin

Partner:

Medtronic of Canada

Discipline:

Medicine

Sector:

Medical devices

University:

McGill University

Program:

Accelerate

Pay for Performance Intervention Funding

Social impact bonds (SIB) have the potential to fund proven social innovation projects that governments have to date, for a variety of reasons, been reticent to fund. Through a SIB, private investors fund innovative social intervention work that is carried out by a non-profit. If the non-profit achieves certain social outcomes previously agreed upon by the three parties, a portion of the public savings from early intervention are given to investors as a return on their initial investment. This project will refine the SIB model for deployment in BC to fund proven interventions that can reduce homelessness rates in Vancouver.

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Faculty Supervisor:

Dr. David Dunne

Student:

Geordan Hankinson

Partner:

Ecotrust Canada

Discipline:

Business

Sector:

Environmental industry

University:

Simon Fraser University

Program:

Accelerate

Phase I: Using simultaneous EEG-fMRI to study the affective mechanisms underlying obsessive compulsive disorder

The aim of this project is to improve simultaneous EEG-fMRI techniques through the use of constrained principal component analysis (CPCA). The main problem with combining EEG measures and fMRI measures is that recording EEG in the MR scanner always injects noise into the data. CPCA partitions the variability of the data into systematic and error variance. By using CPCA, a technique optimized in the Woodward lab, we can greatly reduce the noise in the signal (by dropping the error variance), and thus greatly improve our ability to merge the two modalities (Metzak, 2011; Metzak, 2012; Woodward, 2006, Woodward, 2013) The proposed research program will explore this question using the newly installed GE scanner at the Child and Family Research Imaging Facility at Children's & Women's Health Centre of BC, and the newly purchased MR-compatible EEG system from EGI. We intend to create a protocol for collecting and analyzing data using these new systems, and then use that protocol to start looking for neural disease makers, using an available obsessive-compulsive disorder (OCD) group of participants. Both GE Healthcare and EGI will benefit greatly from this research, as both companies want to be on the leading edge of imaging and psychophysiology.

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Faculty Supervisor:

Drs. Todd Woodward, Evelyn Stewart & Mario Liotti

Student:

Fern Jaspers-Fayer, Killian Kleffner-Canucci, Paul Metzak & Juliana Negreiros

Partner:

Children's & Women's Health Centre of British Columbia

Discipline:

Psychology

Sector:

Medical devices

University:

Simon Fraser University

Program:

Accelerate

Development of a non-destructive condensation sampler for airborne viruses

The proposed project is to develop a bioaerosol sampler which will have minimal impact on the infectivity of captured viruses. Airborne viruses are subjected to environmental conditions which could affect their potential of infectivity as well as their capacity to resist the shearing forces and desiccating conditions during sampling procedures with standard sampling apparatuses. This leads to the underestimation of infective viral loads in aerosols and could have a dramatic impact on the nature of the decisions taken for aerosol contamination control. The development and characterization of this sampler would allow a better understanding of the transmissibility of viral diseases through the airborne route. The partner organization could greatly benefit from this project by have the opportunity to offer exclusive services to its clients and, consequentially broadening its target market to national and international contracts. Furthermore, the commercialization of this sampler could benefit research laboratories around the world for bioaerosol research.

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Faculty Supervisor:

Drs. Samira Mubareka & Caroline Duchaine

Student:

Daniel Verreault

Partner:

Airmax environnement inc.

Discipline:

Microbiology / Immunology

Sector:

Environmental industry

University:

Université Laval

Program:

Accelerate

Developing a new healthcare app for patients with a particular chronic disease

User interfaces for health care apps can improve the quality of life of patients, and help them to have active lives despite their condition. In this fact, we highlight the importance of creating a well-designed interface for health care apps to support patients monitoring key parameters, recording daily personal facts, and treatment adherence. In this research project the main objective is to apply visual communication methods into the design of user interface for health care purposes, in order to create an exceptional and innovative tool. Visual communication in apps can include pictures, graphs, charts, and symbols which can be used independently or as an adjunct with other communication methods. In developing the new user interface for health care app, some features will be reinforced such as transparency in guiding users, supporting representational systems, minimizing cognitive load of users, and ease of use.

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Faculty Supervisor:

Dr. Ron Wakkary

Student:

Leila Aflatoony

Partner:

Curatio Networks Inc.

Discipline:

Interactive arts and technology

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

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