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

Radiofrequency Treatment for Emphysema in Rat Model

Emphysema, a lung disease that millions of Canadians currently suffer from, has few safe and non-invasive options available. One of the features of emphysema is the lack of proper blood flow in the diseased lungs and this results in poor gas exchange. IKOMED Technologies Inc. and the two interns will test an innovative technology that has the potential to remove diseased lungs non-surgically. Together they will test and optimize this application using small rats to check both safety and effectiveness of this new treatment method. IKOMED Technologies Inc. is the sponsor of this work and will be acknowledged in potential publications. The data collected may be used for future patenting of this new treatment technology.

View Full Project Description
Faculty Supervisor:

Don Sin

Student:

Takeyuki Wada

Partner:

IKOMED Technologies Inc

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Using Machine Learning to Classify and Access an Audio Database

Voices.com, the largest online marketplace of voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research will use machine learning to identify and train an NLP learnable parser. The second phase will be to automatically classify sound samples, which has been historically difficult due to low levels of accuracy. The approach will start with attributes for which accurate algorithms exist and new attributes will be added when usable levels of accuracy are achieved. Note that self-reported attributes are also not very accurate, so it is possible that automatic classification would beat user-reported attributes. The classification problem cannot be completely solved within the first year, but these classifications could speed up human processing or be used in the absence of human classification.

View Full Project Description
Faculty Supervisor:

Christopher Anand

Student:

Venu Kurella

Partner:

Voices.com

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Evaluation and analysis of citizen science golden eagle migration data collected by the Rocky Mountain Eagle Research Foundation, Mount Lorette, Alberta 1993-2016

The goal of this project is to evaluate the data quality of the citizen science Golden Eagle count data collected by the Rocky Mountain Eagle Research Foundation and to determine the population trend over 25 years. Since 1993 they have collected data, consisting of daily raptor migration counts in the Fall and Spring seasons. It is vital to determine the usefulness of the citizen science data, check and evaluate its quality and determine whether available datasets are suitable for further research or not.

View Full Project Description
Faculty Supervisor:

Laura Cowen

Student:

Ben Liu

Partner:

Rocky Mountain Eagle Research Foundation

Discipline:

Mathematics

Sector:

Life sciences

University:

Program:

Accelerate

Enabling and Accelerating Fragment-based Drug Discovery – An Excellent Opportunity To Combine Innovation and Education

One of the most promising strategies for discovering our future medications is via fragment-based lead discovery (FBLD). FBLD involves the screening of libraries of small molecules to first identify weak binders to essential target proteins of diseases. These binders are then synthetically matured to larger, more potent inhibitors/leads via medicinal chemistry design efforts. However, there are major bottlenecks to achieving this critical step which have discouraged many pharmaceutical scientists from pursuing this approach. This is because experimental techniques are notoriously unreliable at properly characterizing weak binders at the required high concentrations. We propose to tackle this issue, and exploit educational opportunities, by redefining the fundamental techniques at each step of FBLD. Libraries will be designed, new NMR screening strategies implemented, analysis software will be developed, and an innovative NMR Kd–SAR cycle will be introduced. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Steven Laplante

Student:

Yann Ayotte

Partner:

NMX Research and Solutions Inc

Discipline:

Environmental sciences

Sector:

Life sciences

University:

Program:

Accelerate

A Vision-based system for intelligent monitoring of gait poses in dementia

Impairments of gait and balance often progress through the course of dementia, and are associated with increased risk of falls. Regular assessment of gait and balance could therefore be informative in tracking changes in functional status, and identifying individuals at a high risk of falling to allow for preventative measures. We have developed a technology, called AMBIENT, which enables the frequent, accurate, unobtrusive, and cost-effective measurement of gait and balance parameters. The objectives of this project is to improve the technology of the AMBIENT for pose estimation; to replace the depth sensor of AMBEINT with RGB camera; and to concurrently validate the accuracy of the estimated Gait parameters by the camera-based version of the AMBIENT. One important outcome of this study will be the advancement of technology to allow unobtrusive monitoring of changes in mobility in older adults with dementia.

View Full Project Description
Faculty Supervisor:

Babak Taati

Student:

Elham Dolatabadi

Partner:

Riverview Health Centre Foundation

Discipline:

Engineering - biomedical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Development of a Reliability-Centered Maintenance Battery Program

Battery energy storage systems are used in electric utilities for a variety of applications including back up power for critical equipment. Manitoba Hydro is evaluating two battery chemistries for use in its substations, namely Li-ion and sodium-nickel chemistries. Along with assessment of technical merits of each battery type to determine which chemistry best suits the intended application, Manitoba Hydro needs to develop schemes for maintenance and condition monitoring of these new batteries so that it can maximize their lifespan when in service and prevent any unforeseen outage. This project aims to develop reliability indices and recommendations for operations of these battery energy storage systems.

View Full Project Description
Faculty Supervisor:

Shaahin Filizadeh

Student:

Konstantinos Stamatis

Partner:

Manitoba Hydro

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Program:

Accelerate

Computational fluid dynamics modelling of heat pipes for cooling applications

The proposed project aims to develop numerical models using computational fluid dynamics (CFD) to understand and predict the performance of heat pipes in the context of cooling applications. Heat pipes are a type of enhanced heat transfer device that uses a continuous cycle of boiling and condensing a fluid to transfer heat at a very high rate. The industry partner designs and manufactures heat pipes that are used extensively in the cooling of molds for making automotive parts. This project will allow them to better understand and predict the performance of their products and provide comprehensive simulation results to potential customers.

View Full Project Description
Faculty Supervisor:

Christopher DeGroot

Student:

Dwaipayan Sarkar

Partner:

Acrolab Ltd

Discipline:

Engineering - mechanical

Sector:

Automotive and transportation

University:

Program:

Accelerate

Grain consumption patterns, their respective nutrient contribution and related health outcomes in Canadians

More than 41 percent of field crops produced in Canada are consumed within this country. However, there is little information available about the common consumption patterns of grain-based foods among Canadians as well as the health outcomes associated with different degrees of grain-based food consumption. Using the most recent Canadian Community Health Survey (CCHS) released in July 2017, this study investigates the data on consumption pattern of grain-based foods and contributions of grains to Canadian diet, health and wellbeing. The data will also be analyzed to understand the contributions of specific grain constituents such as dietary fiber and minor components such as minerals and vitamins to diet, health and wellness of Canadians. The results of this research will benefit the partner organization, consumers and policy makers by providing information about the status of grains consumption in Canada. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Hassanali Vatanparast

Student:

Seyed Hamzeh Hosseini

Partner:

Saskatchewan Wheat Development Commission

Discipline:

Agriculture

Sector:

Forestry

University:

Program:

Accelerate

The fixating effect of LCA during ideation in eco-design: a case study

Although life cycle assessment (LCA) is a robust eco-design tool, its capacity to inspire creative ideas among designers is unclear. LCA is often used as a portrait of a product’s environmental hotspots, which are then addressed as design compromises. This highly technical design method usually leads to incremental improvements of products, and appears to do little to foster radical innovation. In contrast to this method, innovative design purposely stimulates creativity by challenging the cognitive fixations that keep designers in the realm of dominant design, in order to develop disruptive concepts that may be far removed from the functional unit as defined in an LCA. It is argued that innovation and radical change, rather than incremental change, are needed to accelerate the transition to sustainability. Yet it has never been shown, in a highly technical engineering context, that more creative solutions are necessarily more sustainable than solutions inspired directly by an LCA. Furthermore, it has not been shown that ideation using LCA necessarily leads to less creative results than ideation using spotlight concepts, or guiding scenarios, to eliminate fixations during ideation, as is recommended by innovative design theory […]

View Full Project Description
Faculty Supervisor:

Manuele Margni

Student:

Andrea Gideon

Partner:

ABB Inc

Discipline:

Mathematics

Sector:

Environmental industry

University:

Program:

Accelerate

HPGR Model Development for Different Ore Classes

The research program is aimed at developing novel test procedures and models for High Pressure Grinding Rolls (HPGRs) for comminution of metal ores classified by geology and physical properties. The HPGR is an energy efficient technology and there are presently no accepted small scale tests for sizing the technology for large scale operations. The study will improve the accuracy of test methods that were developed at UBC to replace conventional pilot scale tests that require large amount of sample that are expensive and often impractical to obtain. The models will be developed for processing a range of ores. The methods and models represents a new tool for the design, evaluation and optimization of HPGR based comminution circuits. The results of the study will also support the advancement of an energy efficient technology.

View Full Project Description
Faculty Supervisor:

Bern Klein

Student:

Tulio Marques

Partner:

Goldcorp Inc.

Discipline:

Engineering

Sector:

University:

Program:

Accelerate

Anticorrosion and conductive smart thin-film coating built by additive manufacturing

Corrosion is a phenomenon that can be only mitigated, not stop. Usually, paint is applied to the surface that needs to be protected from the environment. Sooner or later, it peals off or wear, leaving the surface unprotected. Besides protection from corrosion, the paint or coating rarely has other properties like being electrically conductive.
Another emerging industrial sector could greatly help to create complex coating. This sector is known as 3D printing or “Additive Manufacturing” (AM) and it is currently used for fast prototyping. Recently, these printers were modified to print metal, concrete, food and even organic fabrics. That technology could coat any existing surface. It could also include several materials to add more properties. The present research project for these Mitacs interships will aim to improve actual AM technology for the specific application of manufacturing thin-film anticorrosion and conductive coating. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Sylvain Cloutier

Student:

Francois-Xavier Fortier

Partner:

Nanogrande Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Pilot-Scale Mycoremediation of Petroleum Hydrocarbon Impacted Soil

Mycoremediation of petroleum hydrocarbon (PHC) impacted soil utilizes mushroom to decontaminate polluted soil. Specific mushrooms including shiitake, oyster and other white rot fungus have been successfully degraded a wide range of recalcitrant soil contaminants. However, this process is quite slow and is sometimes limiting. It is hypothesized that insufficient bioavailable phosphorus supply likely limits the mycoremediation performance. To increase nutrient bioavailability to fungi, conventional mycoremediation will be modified by applying gaseous form of nitrogen dioxide (NO2) and triethyl phosphate (TEP).
PHC impacted soil will be mixed with the compost inoculated with fungi. Vapour mixture containing NO2 and TEP will be pumped into the bioreactors. Microbial communities will be characterized using molecular analyses. Understanding mechanisms behind uptake of PHCs and phosphorus by fungi will shed more light on optimization of the mycoremediation process.
Stimulated fungal growth and activity resulting from increased nutrient bioavailability is expected to result in significant soil cleanup.

View Full Project Description
Faculty Supervisor:

Jian Peng

Student:

Paul Daniyan

Partner:

Stantec Consulting Ltd.

Discipline:

Engineering - civil

Sector:

Education

University:

Program:

Accelerate

Previous
1…758759760761762763764…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe