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

IMS applications deployed in virtualization and cloud environments (OpenStack and KVM)

The IP Multimedia Subsystem (IMS) is a key component in the Mobile Next Generation Network, which is used by telecommunications operators throughout the world to provide access to multimedia and broadband services. As these services become more sophisticated, and as the number of clients rises drastically, it is increasingly expensive to install and operate a network that will satisfy the users' expectations. Cloud computing combined with high-speed networks provides a potential method for reducing the installation and operational costs of IMS. However, their use may introduce performance degradation in certain parameters, such as the delay. We will construct a test environment that will permit us to model a cloud-based IMS system, after determining which components of IMS could benefit from this approach. Successful adaptation of IMS to the cloud-based environment will permit telecommunications operators to improve the availability of their Application Servers, which will enhance the user experience.

View Full Project Description
Faculty Supervisor:

John William (Bill) Atwood

Student:

Mama Nsangou Mouchili

Partner:

Ericsson Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Concordia University

Program:

Accelerate

Energy Management and Control System for Off-Grid System

The goal of this research is to facilitate utilization of solar energy in Caribbean islands. Currently, the Caribbean islands mainly depend on the scarce oil-based energy resources. This research will assess and define cost effective suitable solar-PV technology with storage and associated energy management and control system for utilization of the solar energy resources available in the Caribbean Islands. The proposed research will minimize operational cost, enable efficient distribution and utilization of energy, and reduce greenhouse gas emission. The results of this research facilitate international expansion of the sponsored organization, Fovere Glenbarra Energy Fund II Ltd., and will potentially increase the  organization’s revenue.

View Full Project Description
Faculty Supervisor:

Dr. Kaamran Raahemifar

Student:

Irtaza Syed

Partner:

Fovere Glenbarra Energy Fund II Ltd.

Discipline:

Engineering - computer / electrical

Sector:

Alternative energy

University:

Ryerson University

Program:

Accelerate

Developmental Evaluation of the STAR Recovery Centre

This research project centres on a new recovery centre for vulnerable adults with complex mental health and addictions issues in Toronto. Recovery is an approach to mental health that values person-centred care and self-direction. Recovery centres are educational centres, based in the community, that provide programs that help people live normal, meaningful lives in their communities. This research project will be an evaluation of the early stages of a recovery centre. The evaluation asks: 1) what are the key components of a recovery centre and how do these lead to positive outcomes, and; 2) what is working well with the recovery centre? These questions will be answered through interviews and focus groups conducted by the intern in addition to substantive on-site observation. Findings will be communicated through monthly reports and a final report. This evaluation will provide real-time feedback on what is working well that will help with strategic planning and documenting innovation for decision makers at the recovery centre. Additionally, this research will add to the the emerging academic literature on recovery centres through the creation of a model that identifies key components of this approach and connects these components with outcomes.

View Full Project Description
Faculty Supervisor:

Dr. Geoff Nelson

Student:

Tim MacLeod

Partner:

St. Michael's Hospital

Discipline:

Psychology

Sector:

Life sciences

University:

Wilfrid Laurier University

Program:

Accelerate

Integrated polarization rotator with relaxed fabrication tolerances for mass production of photonic integrated circuits

The precise management of the state of polarization of the light that is generated and all-optically processed within a photonic integrated chip (PIC) is of utmost relevance towards the conception of polarization-independent photonic integrated systems. This proposal aims to conduct an assessment of various design options of polarization converters for the specific application mandated by the immediate needs of our industry partner: a polarization independent large-scale PIC. The conception of original designs of integrated polarization converters based on silicon and/or III-V compounds with relaxed fabrication tolerances is proposed. The performance assessment is carried out through numerical simulations of the most promising existing designs and extensive simulations of the proposed original design with relaxed fabrication tolerances. The feasibility to implement an active control of the state of polarization of a beam within the PIC to realize the ambitious concept of an integrated polarization switch and polarization controller will also be investigated.

View Full Project Description
Faculty Supervisor:

Dr. Trevor Hall

Student:

Ramon Maldonado-Basilio

Partner:

TeraXion

Discipline:

Interactive arts and technology

Sector:

Information and communications technologies

University:

University of Ottawa

Program:

Accelerate

Development of aptamer-based strip assay (Ara-Strip) and electrochemical sensor (Ara-Sens) for detection of the peanut allergens

Peanut products are known to contain allergens capable of causing severe and life threatening allergic reactions. Classically, Ara h 1, Ara h 2, and Ara h 3 are considered to be the major peanut allergens, whereas Ara h 9 is the most prevalent allergen in Mediterranean countries. Current detection methods of peanut allergens are expensive and require centralized laboratories and highly trained personnel. Hence, there is an urgent need to develop rapid, simple, economic, and reliable assays for the detection of peanut allergens. The proposed project aims at the development of aptamers, structured single stranded DNA molecules, for specific detection of peanut allergens. These aptamers will be further utilized to develop an aptamer-based strip assay (Ara-Strip) and aptamer-based electrochemical sensor (Ara-Sens) for the detection of the four peanut allergens. These assays are intended for commercialization by our industrial partner who is interested in the production of quick and economical tests for allergens

View Full Project Description
Faculty Supervisor:

Dr. Maxim Berezovski

Student:

Pavel Milman

Partner:

GPS to GO

Discipline:

Chemistry

Sector:

Medical devices

University:

University of Ottawa

Program:

Accelerate

A Novel Solvent-free Approach for Production of Bean Protein Fractions

The fast-growing market demand for food products with high nutritional qualities requires innovative and sustainable technologies. The proposed process employs an electrostatic technique to selectively charge proteins, carbohydrates, fibers, and other components in the bean flour and separate them based on the magnitude and type of their charge. The proposed methodology produces protein-rich flour from beans without using solvents or chemicals which significantly reduces the capital and operating costs. It preserves the bio-functionality of the protein, and averts the likelihood of toxic microbial contamination common in currently used wet processes. This proposal aims to build on the knowledge garnered in the previous proof-of-concept project, funded by Mitacs Accelerate. Motivated by the promising preliminary results, the industrial partner, Advanced CERT Canada, is willing to conduct process optimization, fine-tuning, and scale-up studies to move towards designing and evaluating a pilotscale (dry) protein extraction plant.

View Full Project Description
Faculty Supervisor:

Dr. Raymond Legge

Student:

Mousa Jafari

Partner:

Advanced CERT Canada

Discipline:

Engineering - chemical / biological

Sector:

Chemicals

University:

University of Waterloo

Program:

Accelerate

UranOS: a Cloud-based Resource Management Framework for High Dimensionality Search Optimization

Multidisciplinary automated design-optimization (MDO) is a rapidly growing field of interest in sectors as diverse as architecture, engineering, science, and more. Often the computational cost of doing such optimization can be staggeringly high, requiring hundreds of computers connected through high-performance networks with complex custom designed software to support it. To address these problems, we propose to design, implement and deploy a novel Cloud resource management framework, UranOS, intended for use as a scalable and high resource efficiency resource management platform for MDO applications. UranOS is a lightweight and portable virtualization solution including algorithms, high level languages and tools for performance modeling and efficient resource allocation. Our platform will automatically provide customers with performance optimizations towards improving end-to-end Quality of Service compliance for MDO applications. Also, our industry partner will further benefit from lower operational costs as a result of high resource usage efficiency.

View Full Project Description
Faculty Supervisor:

Dr. Cristina Amza

Student:

Ali Baradaran Hashemi

Partner:

Autodesk Canada Co

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Building on the Next Generation Tools for Genetic Improvement of Dairy Cattle

The profitability of dairy production is based on the ability of the animal to have high milk production, good health and good fertility. A major challenge for dairy producers is to select for high performing animals and avoid the undesirable correlated response between production and other traits. The proposed research includes the imputation of newly developed SNP markers for calving performance, bull and cow fertility traits, somatic cell score, milking speed and temperament, conformation traits and life profit indices traits, and a validation to determine how much prediction accuracy these new SNP would add to existing SNP panels when used in selection programs. The partner organization and the Canadian dairy cattle industry at large would greatly benefit particularly from any increase in the ability to select for male or female fertility, since these traits have been difficult to improve, even with existing genomic tools.

View Full Project Description
Faculty Supervisor:

Dr. Flavio Schenkel

Student:

Mohammed Abo-Ismail

Partner:

Semex Alliance

Discipline:

Animal science

Sector:

Agriculture

University:

University of Guelph

Program:

Accelerate

Manitoba Mathematics Action Research Project

Recently PLS has signed a contract with the Ministry of Education in Manitoba. The province has been experiencing declining math scores across the province in both international tests such as PISA and in their provincial standardized tests. Manitoba is deeply committed to improving students mathematical achievement and as a result has hired PLS to develop an evidence based professional learning model that will help deepen teachers understanding of math and pedagogy, and to measure the impact of this professional learning on student achievement. Once we are able to demonstrate an increase in student achievement, this professional learning model will be scaled across the province and potentially to other jurisdictions across Canada.

View Full Project Description
Faculty Supervisor:

Dr. Christine Suurtamm

Student:

Kelly McKie

Partner:

Pearson Canada Inc.

Discipline:

Education

Sector:

Education

University:

University of Ottawa

Program:

Accelerate

iSpine: A Innovative Spine Image ProcessingToolkit

A versatile spine modeling toolkit would enable the automatic assessment of gross anomalies and the evaluation of limited regions and spine components such as vertebra and discs. The system would consist of modules for: 1) segmenting the spine; 2) modeling spinal components; 3) detecting, assessing and analyzing salient features; and 4) generating information for medical diagnosis, patient reporting and clinical management. Despite a clear need for a versatile spine assessment toolkit, none is commercially available today. Some components of the proposed toolkit have been researched by our group in the past, but have neither been fully developed for cross-platform application nor made robust enough for clinical use. The major novelty of this project is creating the application software. Other novelties include adapting algorithms and code so that the component modules handle CT and MR images, deriving a set of validation metrics for a cross-platform application, designing the shell program, developing the test protocols, creating a feature set and distilling information that could be used for patient management and clinical decision-making.

View Full Project Description
Faculty Supervisor:

Dr. Mousumi Bhaduri

Student:

Bin Gu

Partner:

London X-ray Associates

Discipline:

Medicine

Sector:

Medical devices

University:

Western University

Program:

Accelerate

Design of a Multichannel DBS Targeting Electrode and System

Deep brain stimulation (DBS) is a complicated electrotherapeutic medical procedure which provides irreplaceable therapies and treatments for several nervous system disorders, such as Parkinson’s disease. Advancements in the electrodes designs will improve the delivered therapy and enhance the efficacy of the DBS system. The objective of this project is to begin preliminary designs for deep brain stimulation and targeting electrodes capable of providing enhanced functionalities and improved biocompatibility to address the limitations in conventional electrode technologies. The project will be carried out in collaboration with Medtrode Inc.; they have developed proprietary neuromodulation technologies and acquired patents which allow them to pioneer in the development of neuromodulation and DBS therapies. During this placement, the intern will gain valuable knowledge and experience in medical device design, while the industrial partner will benefit from the resulting prototype which sets the stage to significantly enhance DBS and improve the treatment of nervous system disorders.

View Full Project Description
Faculty Supervisor:

Dr. Robert Fleisig

Student:

Asim Siddiqi

Partner:

Medtrode Inc.

Discipline:

Engineering

Sector:

Medical devices

University:

McMaster University

Program:

Accelerate

Low-Temperature Single-Crystalline Electronics for Smart Displays

The display industry has witnessed rapid growth, in both volume and diversification. In recent years, this trend is expected to persist with continued consumer demand, for example, a wide range of devices such as MP3 players, digital cameras, GPS map readers, portable DVD players, and electronic books, as well as the ubiquitous mobile phone and laptop computers, are integrated into one display or smart display. To achieve such integration, we will develop a system based on single-crystal-silicon spheres where high-performance, large-area with low cost and highly uniform transistors will be achieved. Upon successful completion of the proposed project, the organization can develop an innovative technology for large-area electronics, which can benefit the global industries and particularly Canadian industries, and create new opportunities for the organization in different fields such as large displays and portable devices. In addition, the outcomes are also significant steps in diversifying local industries for more stability.

View Full Project Description
Faculty Supervisor:

Dr. Siva Sivoththaman

Student:

Feng Chen

Partner:

Christie Digital Systems Canada Inc.

Discipline:

Engineering - computer / electrical

Sector:

Digital media

University:

University of Waterloo

Program:

Accelerate

Previous
1…641642643644645646647…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe