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

Research and Development of a Novel Demo-scale Two-Stage Anaerobic Digestion Process for Renewable Energy Production and Treatment of High Strength Organic Industrial Streams

This project focuses on the research and development of a novel two-stage anaerobic digestion (AD) process to create an array of renewable products such as transportation fuels, chemicals, and plastics from sustainable biomass sources i.e. lignocellulosic crops, and to use wastes such as agricultural residues or municipal green bin collections or animal manures. The novel process will expand the application of the AD process beyond its current primary use for solids and organic wastes treatment to a first-of-a-kind venue. The application of this two-stage anaerobic digestion process is to focus on the productivity aspects of the process with respect to hydrogen and methane. The ultimate goal is to develop an anaerobic digestion process capable of converting feedstocks from various sources using the concept of “co-digestion” to renewable hydrogen and methane gases and to integrate the process with another novel Fischer-Tropsch (FT) process to convert the renewable gases into liquid fuels.

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Faculty Supervisor:

Abdul-Fattah Asfour

Student:

Hanan El-Sayed

Partner:

GreenField Ethanol Inc

Discipline:

Engineering - civil

Sector:

Life sciences

University:

University of Windsor

Program:

Accelerate

Using Predictive Analytics to Improve Inside Sales Performance

Lately, predictive analytics as emerged as a vital area of study for both researchers and practitioners. This trend researches into large volumn of data for hidden patterns and relationships to gain data-driven insights and predict future outcomes. Predictive analytics can help the inside sales industry obtain optimum value from a large amount of data they have in their possession. In this research, we will leverage predictive analytics to help improve inside sales performance. The outcome of this research will help practitioners understand how predictive analytics can help guide day-to-day operations, improve decision making, define future strategies and drive inside sales performance in a highly competitive market space.

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Faculty Supervisor:

Morad Benyoucef

Student:

Alhassan Abdullahi Ohiomah

Partner:

VanillaSoft

Discipline:

Business

Sector:

University:

University of Ottawa

Program:

Accelerate

Analysis of a novel energy absorbing roof anchorage connector for fall protection in lower strength roof construction

There is a large need for anchorage connectors (AC) on low strength structural roofs. A patent-pending AC has been designed to provide a secure point for workers on lower strength roofs while having energy absorbing capacity to limit damage to the structure in the event of a fall. With the advent of more and taller wood frame buildings the need for AC for low strength structural roofs is paramount. Through this proposal we aim to develop the next generation of Energy Absorbing Roof AC through optimizing the materials and design for broad market distribution. Working in partnership with Dr. Carolyn Sparrey and her intern at SFU the design will be refined using advanced finite element analysis and engineering techniques. Upon project completion the most significant design factors affected the energy absorbing capabilities of the AC and a modified design will be highlighted for further prototyping and testing.

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Faculty Supervisor:

Carolyn Sparrey

Student:

Shervin Jannesar

Partner:

Ace Bellows Partnership

Discipline:

Engineering - mechanical

Sector:

Medical devices

University:

Simon Fraser University

Program:

Accelerate

Blood biomarkers of asthma

Allergic asthma is a condition of the airways characterized by airway constriction and hyperresponsiveness upon allergen exposure. About half of the allergic asthmatic individuals experience only an acute airway constriction (early response) within several minutes upon exposure to allergen while the other half of individuals experience not only an acute airway constriction but also a chronic airway constriction plus inflammation (late response) within several hours after the allergen exposure. It is not clear why the late response is not developed in all sensitized individuals. Chen Xi Yang will participate in developing an assay that can be implemented in a clinical setting to help predict individuals who are likely to develop the late response by measuring the expression of 55 genes. Successful development of the assay will provide a new diagnostic tool towards distinguishing these two phenotypes of allergic asthma, and will further the mandates of our partner organizations – British Columbia Lung Association and Phoenix Molecular Designs.

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Faculty Supervisor:

Scott Tebbutt

Student:

Chen Xi Yang

Partner:

British Columbia Lung Association

Discipline:

Medicine

Sector:

Pharmaceuticals

University:

University of British Columbia

Program:

Accelerate

Developing spatial and participatory resolutions for the Canadian Aboriginal housing crisis

The Aboriginal housing situation in Canada is in crisis with a lack of culturally and environmentally appropriate housing. A Participatory Approach towards Housing Solutions (PATHS) Framework has been developed that recognizes and visualizes the strengths and limitations of communities, and assesses pathways with which they may achieve their housing goals. Communities are actively engaged in order to identify their aspirations and translate them into measurable indicators and associated capitals. The PATHS Framework methodology includes: 1) identification and development of aspirations, indicators, and capitals using participatory techniques; 2) visualization of past and present trends using GIS; 3) co-development and interpretation of scenarios to reflect a pathway towards achieving said aspirations and goals; 4) identification of achievable scenarios from collaboratively developed strategies; and 5) evaluation of each strategies’ viability and capability to meet the aspirations of the community. Benefit to Partner Organization: An important component of this project is that the post-doctoral researcher, under the mentoring of the principal investigator, will develop both strong academic skills in participatory research and hands-on experience helping Aboriginal communities achieve their goals. For the latter, she will work closely with the research partner, FPInnovations; in particular with their Aboriginal Forest Sector Program. TO BE CONT’D

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Faculty Supervisor:

Christopher Gaston

Student:

Stefania Pizzirani

Partner:

FPInnovations

Discipline:

Forestry

Sector:

Environmental industry

University:

University of British Columbia

Program:

Accelerate

The SAVI Smart Edge Deploying Massive Multiple In Multiple Out (MIMO) Distributed Antenna Architectures

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:

Alberto Leon-Garcia

Student:

Marjan Zandi

Partner:

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Intelligent control strategies for the Industrial Internet – Phase II

This phase of the project continues on the research focus of developing intelligent control for machines using derived deep machine learning schemes. The learning algorithms to be developed will use high volume data from various processes in advanced manufacturing and other systems, combined with could based analytics, formulate complex and accurate process models of these processes. These models will then be integrated into advanced controllers that are self-optimizing and are continually updated via deep learning networks and continuous data streams machines. The projects spans several years and can potentially have significant impact on reducing energy use and minimize operational costs of manufacturing systems.

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Faculty Supervisor:

Dhirendra Shukla

Student:

Ryan Finn

Partner:

Eigen Innovations Inc.

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

University of New Brunswick

Program:

Accelerate

Reconstructing DoDAF (Department of Defense Architecture Framework) compliant high level views from information systems

Information systems are critical assets for enterprises and contain important knowledge acquired over the years. Over time, as these software systems grow in scope and complexity, they introduce greater variability in design at the level of individual software components. As a result, these systems deviate from their initial architecture. The latter can no longer be used as a medium to support various activities such as the analysis and the certification of these systems. To address these shortcomings, it is mandatory to reconstruct these systems’ current architecture. For this purpose our research project aims at proposing techniques to reconstruct high-level views representing the architecture of information systems. The architectural views on which we focus are those prescribed by the DoDAF (Department of Defense Architecture Framework) specification. The outcomes of our research project will therefore provide to our partner’s architects and analysts a basis for information systems analysis and certification.

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Faculty Supervisor:

Timothy Lethbridge

Student:

Alvine Boaye Belle

Partner:

KDM Analytics Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Ottawa

Program:

Accelerate

A Model-Driven Framework for Meta-Data Harmonization in Business Intelligence

Datasets obtained from different sources are often heterogeneous: they do not share a common internal structure, even though they are nominally about the same subject matter. This makes reporting against datasets difficult without laborious, manual efforts to clean and transform the data. This project will investigate the feasibility of an approach to abstract the harvesting of metadata from multiple content generated Business Intelligence (BI) reporting systems. The interns will leverage previous work on model-driven engineering tools and meta-data harmonization to create a generic application framework for systematic, automated, meta-data harmonization to support business intelligence reporting. This will allow business analysts and researchers to flexibly define BI reports that integrate data from many different data sources in a much more efficient manner. This will enable Mark 3 Research Inc. to develop and market new and improved tools and products for this market space.

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Faculty Supervisor:

Liam Peyton

Student:

Miguel Garzon

Partner:

Mark 3 Research Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Ottawa

Program:

Accelerate

Upheaval buckling behavior of offshore oil pipeline

Over the past few decades, offshore oil and gas development activities have grown rapidly to meet the global energy demand. Canada is one of the major offshore oil and gas producing countries in the world and relies on pipelines for transporting offshore oil and gas. While the pipeline is considered as one of the most viable mean of transporting oil and gas, the consequence of pipeline failure is disastrous, affecting the economy, public health and the environment. It is therefore of paramount importance to keep the pipeline safe from any potential damage. The upheaval buckling is a mode of deformation that overstresses the pipe wall and may lead to pipeline failure. In this research, upheaval buckling of offshore pipeline will be investigated in order to develop improved design method to safeguard pipeline against upheaval buckling.

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Faculty Supervisor:

Ashutosh Dhar

Student:

Bipul Chandra Mondal

Partner:

Petroleum Research Atlantic Canada

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

Memorial University of Newfoundland

Program:

Accelerate

Conversion of crude glycerol into higher value chemical products

The exponential growth of biodiesel production all around the world has created a significant surplus in the production of the principle co-product, crude glycerol. Therefore, effective utilization of crude glycerol is imperative for bringing new revenue to the biodiesel producers and the sustainability of the biodiesel industry. There have been numerous papers investigating the potential applications of crude glycerol as value-added products. However, the significant variation in the chemical composition of crude glycerol due to different type of catalyst used, transesterification efficiency between producers, and impurities in the feedstock has limited the widespread of the procedures proposed by those papers. Therefore, this research project is designed to: (i) accurately determine the chemical composition of the crude glycerol produced by Invigor Bioenergy Corporation, (ii) identify the current most economical procedure to convert crude glycerol to higher value product, and (iii) bridge the gap between laboratory experiments and industry scale.

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Faculty Supervisor:

Abdulmajeed Mohamad

Student:

Hsu Chew Lee

Partner:

Invigor Bioenergy Corporation

Discipline:

Engineering - mechanical

Sector:

University:

University of Calgary

Program:

Accelerate

Kinetic and Reactor Models for Sugar-to-Glycol Conversion

The sustainable use of forest- and agriculture-based resources to produce clean fuels and value-added chemicals is an opportunity to reduce greenhouse gas emissions generated by non-renewable fossil fuels. Glycol, a valuable industrial chemical, can be derived from sugars that originate from agricultural and forest waste and byproducts using a catalytic process. S2G Biochem, located in Vancouver, is working to develop and demonstrate technology to convert sugars and polyols to glycols. This study is intended to simulate an existing pilot plant unit facility in S2G Biochem using computational methods and then utilize the results to improve the design and performance of a commercial-scale unit.

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Faculty Supervisor:

Kevin Smith

Student:

Rahman Gholami Shahrestani

Partner:

S2G BioChem

Discipline:

Engineering - chemical / biological

Sector:

Natural resources

University:

University of British Columbia

Program:

Accelerate

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