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

Serum Protein and Antibody Interactions with Immunomagnetic Cell Isolation Particles

Immunomagnetic cell isolation particles are widely used to separate cells from complex, biological environments, such as blood, urine, or bone marrow. Cell isolation particles are typically decorated with specialized antibodies to bind to targeted cell surfaces via specific antibody–antigen interactions. These interactions can be disturbed by the presence of serum proteins, which are common constituents of cell isolation buffers to prevent cell aggregation. The proposed research will investigates the effect of serum protein–particle interactions on the binding of antibody linkers to immunomagnetic cell isolation particles. The intern will compare the binding capacity of serum proteins to various types of cell isolation particles and examine binding mechanism(s) with deteriorating effect on the cell isolation process. The partner organization, STEMCELL Technologies, is a leading manufacturer and distributor of cell isolation products. The results of this research are expected to allow STEMCELL to benefit their customers with improved cell isolation kits and cell isolation protocols.

View Full Project Description
Faculty Supervisor:

Russ Algar

Student:

Michael Van Tran

Partner:

StemCell Technologies

Discipline:

Chemistry

Sector:

Health care and social assistance

University:

University of British Columbia

Program:

Accelerate

Developing a High Throughput RNA Synthesis and Purification Microfluidic Platform

Modern molecular techniques increasingly rely on high quality synthetic RNA molecules. One of the most important examples of this is the CRISPR-Cas genome editing technology. However, synthesis of RNA molecules important for this process suffer from a number of limitations including being slow and expensive. In order to accelerate research and development in this important area of science we propose to develop a new platform for synthesizing high quality RNAs, cheaply and in large amounts. This is possible because we are combining our expertise in molecular biology with that of microfluidics providing exacting control of biochemical reactions. This type of RNA synthesis has never before been developed explicitly in a microfluidic device and there is much we can learn on how to optimize biochemical reactions in the unique and favorable conditions of microfluidics. From this we hope to develop a platform to enable researchers to best utilize cutting edge RNA based technologies.

View Full Project Description
Faculty Supervisor:

David McMillen

Student:

Brendan Hussey

Partner:

Spindle Biotech Inc

Discipline:

Biology

Sector:

University:

Program:

Accelerate

Thermally Stable Bonding Materials for Flexible Displays

As technology continues to make smaller and more flexible devices possible manufacturers of these devices need ways to hold them together. Normal methods of bonding two thin pieces of metal together no longer meet all the depends placed on them by the relatively small size of the devices. In order to meet this challenge this research project will make a glue that is stable to high temperatures and can glue two thin metal pieces together, while remaining flexible and allowing electricity to pass through it. This will be achieved by making use of existing knowledge to make new materials that can act as glue. This allows manufacturers of small flexible devices to continue innovating.

View Full Project Description
Faculty Supervisor:

Mario Gauthier

Student:

Benjamin Hisey;Nicholas Lanigan

Partner:

VueReal Inc.

Discipline:

Chemistry

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Predictive tools for membrane durability in fuel cell applications

Fuel cells are a clean energy technology that generates electricity without harmful emissions and uses hydrogen as the fuel in place of oil. As fuel cell electric vehicles are deployed globally on a significant scale, it is critical to ensure high levels of operational durability and reliability, equal to or exceeding that of incumbent engine technologies. The proposed project addresses the durability of the membrane, which is one of the key components of fuel cells. In this project, a unified chemical and mechanical modeling platform will be developed with the help of in-house experimental characterization of membrane material properties. The developed model can be applied for evaluating membrane durability in fuel cells as a function of fuel cell operating conditions.

View Full Project Description
Faculty Supervisor:

Erik Kjeang

Student:

Narinder Singh Khattra;Sandeep Bhattacharya

Partner:

Ballard Power Systems Inc.

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Transfer of nutrients and contaminants from wetlands to rivers by water boatmen

This research will explore how the annual migration of small insects known as water boatmen affect fish in rivers. It will first use natural fingerprints called stable isotope ratios that differ between wetlands and rivers, to trace how much of fish diet is made up of water boatmen after they arrive in rivers from wetlands in the fall. It will then test to see if water boatmen are bringing any toxic chemicals with them when they migrate. It will compare concentrations of polycyclic aromatic hydrocarbons between water boatmen and other prey items such as mayflies and dragonflies that live in the river year round. The results will help us better understand the importance of wetlands in supporting fish production.

View Full Project Description
Faculty Supervisor:

Tim Jardine;Doug Chivers

Student:

Stephen Srayko

Partner:

Saskatchewan Wildlife Federation

Discipline:

Biology

Sector:

Other services (except public administration)

University:

University of Saskatchewan

Program:

Accelerate

Evaluating Canadian Competency-based Specialty Medicine Training

Specialty medicine training in Canada is transforming to a competency-based model. This is the biggest change in specialty education in a century. The new education system emphasizes the abilities to be acquired of specialist physicians, the sequencing of skills (from foundational to complex), tailoring of training to meet the needs of the individual, and assessment systems that capture and adjudicate successful, authentic practice of specialty medicine. There are numerous assumptions underlying this complex educational intervention. The designed education system may be modified and transformed by resource availability, interpretation of policy and procedures, local cultural norms and other unanticipated forces. The purpose of this research project is to understand the effectiveness of the new specialty medicine education system and to also determine unintended consequences. Through a series of studies across Canada and across specialties, this project will describe the functioning of a new specialty training system and its’ influence on healthcare systems and patient outcomes.

View Full Project Description
Faculty Supervisor:

Jonathan Sherbino;Sandra Monteiro

Student:

Arija Birze

Partner:

Royal College of Physicians and Surgeons of Canada

Discipline:

Kinesiology

Sector:

Education

University:

McMaster University

Program:

Accelerate

Exploration and Development of an Active Assisted Living Data Sharing Infrastructure Aimed at Supporting the Development of Standards, Guidelines, and Certification Programs – Blockchain for Consent Management

The Ubiquitous Health Technology Lab (UbiLab) will explore the development of a data integration framework and recommendation for associated standards that aims at combining data from (1) smart home systems, (2) AAL or IoT for health technology, (3) mHealth, and (4) wearables. Important areas of data management will be explored, as for example security and encryption (blockchain) for consent management and data management. This initiative will provide the CSA Group with a roadmap of potential future standards to be developed in Canada and around the world to support the evolution of IoT for health, AAL technology, and Blockchain solutions.

View Full Project Description
Faculty Supervisor:

Plinio Pelegrini Morita

Student:

Pedro Elkind Velmovitsky;Pedro Augusto da Silva e Souza Miranda

Partner:

Canadian Standards Association

Discipline:

Epidemiology / Public health and policy

Sector:

University:

University of Waterloo

Program:

Accelerate

Enhancing Compliance of Financial Service Industry Through Understanding and Predicting Employees’ Conduct Risk

Conduct risk management is a topic of great importance to financial service firms. Misconduct from staff members in financial institutions can result in substantial costs. However, compared to other types of risk faced by financial institutions (e.g. credit risk, market risk, liquidity risk), conduct risk and the related reputational risk have been understudied. One of the main reasons for the limited research in this area is the lack of data available assessing employees’ misconduct. The proposed project aims to address this research gap by ultimately researching and building a conduct risk model relating to staff in the financial service sector. First, the current project will develop an framework of conduct risk of financial service these employees. The conduct risk model will identify subcategories of conduct risk, and will also identify individual-level antecedents of the different subcategories of conduct risk. In the second phase of the current project, the model will be tested by using the data collected through the partner organization’s dataplatform that contains the regulatory system registration information of financial institutions’ employees (e.g. financial advisors, investment managers). In the final phase of this project, the intern and the data scientist of the partner organization will work on building

View Full Project Description
Faculty Supervisor:

Greg Sears

Student:

Yu Han

Partner:

VigilantCS

Discipline:

Business

Sector:

University:

Carleton University

Program:

Accelerate

Recovery of rocky intertidal communities post-pollution disturbance

This project will aim to assess the impact of past pollution events from historic and ongoing anthropogenic activities in Coastal BC. This pollution has potentially led to a change in species presence at those sites. The intern will take part in field work activities, data analysis (including the assessment of species diversity) and reporting. Hemmera will use the results of this project to improve their understanding of coastal marine ecosystems and their responses to changes caused by human activities. As a result, Hemmera will be able to develop a tool that can help assess the potential impacts and recovery of ecosystems in the case of a pollution event.

View Full Project Description
Faculty Supervisor:

Carl Mitchell

Student:

Yoan Mari

Partner:

Hemmera Envirochem Inc

Discipline:

Environmental sciences

Sector:

University:

University of Toronto

Program:

Accelerate

Modeling and simulation methods for assessing casino player behaviour

The goal of this research is to use data from casino player tracking systems to build a model for how players move around on a casino slot floor. We will use this model to perform simulations of this same movement. Segmentation of players into groups of similar value and/or characteristics will help to reduce the computation complexity of this task. Therefore, the student will also aim to devise a method of player segmentation. Development of this simulation software will be valuable as it will allow casino operators to test out changes for viability before making them, understand the impact of major renovations, and to rearrange the slot floor for optimize player traffic flow.

View Full Project Description
Faculty Supervisor:

Saman Muthukumarana

Student:

Courtney Bonner

Partner:

nQube Data Science Inc.

Discipline:

Statistics / Actuarial sciences

Sector:

University:

University of Manitoba

Program:

Accelerate

Multiscale Modelling of Crystallization in Stirred Tank Reactors

Crystallization is used to produce solid form drugs in the pharmaceutical industry. It is important to understand how operating conditions affect the crystallization process because these conditions will impact product quality. The purpose of this project is to develop a computational model that can predict crystallization process performance over a wide range of conditions. The model will help Solid State Pharma Inc. to reduce the number of experiments necessary to optimize their crystallization processes. Additionally, the development of the model will lead to the generation of new knowledge about crystallization processes and numerical modelling approaches. This will advance the state of crystallization science/engineering in Canada, which will provide new opportunities for important technological innovations.

View Full Project Description
Faculty Supervisor:

Jan Haelssig

Student:

David McKinnon

Partner:

Solid State Pharma Inc.

Discipline:

Engineering - other

Sector:

University:

Dalhousie University

Program:

Accelerate

Unsupervised dimension reduction for data clustering and improving signal-to-noise-ratio

Recently, machine learning has been used in every possible field to leverage its amazing power. In this project we employ and advance machine learning algorithms for analysis of networks log data due to extraction of informative features. These data, which are recorded every millisecond, are usually high dimensional and imbalanced where no class label is assigned to them. We propose to realize data analysis through simultaneous performing of dimensionality reduction and data clustering incorporating local characteristics of the sample space to handle data imbalancity and variations. The proposed approaches for dimension reduction and clustering will be great assets in design, optimization and operations of the partner organization operational system. They also can improve the signal-to-noise-ratio and anomaly detection.

View Full Project Description
Faculty Supervisor:

Narges Armanfard

Student:

Mohammadreza Sadeghi

Partner:

Ericsson Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and cultural industries

University:

McGill University

Program:

Accelerate