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

Development of Artificial Intelligence Algorithms For Improved Correlation of Sensor Responses to Ore Grade

The benefit of ore sorting is rejecting waste material prior to downstream processing. This results in reducing material handling costs and environmental liability, lowering energy consumption, and feeding more consistent and higher ore grades to the concentrator. Sorting allows for a lower cost bulk mining method resulting in lowering the cut-off grade and increasing the resource size. Despite the potential benefits, sorting is not widely applied due to barriers in the current technology. These relate to limited ability of sensors to discriminate between barren rock and valuable rock, and the low throughput capacity of available industrial machines. This project aims improve the use of sensors by developing an advanced AI algorithm applied in sensors to increase the throughput capacity of the sorter. In addition, a pilot scale sorter would be set up based on the advanced algorithm to validate the performance.

View Full Project Description
Faculty Supervisor:

Bern Klein

Student:

Xu Yang

Partner:

Karamount Mineral Exploration

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

University of British Columbia

Program:

Accelerate

A study of owner perceptions of health and longevity in dogs and cats fed meat- or plant-based diets.

Plant-based diets have been introduced to the companion animal nutrition market, though little evidence exists to support or refute the nutritional sufficiency of plant-based diets for cats and dogs, or the impacts these diets may have on the health and wellbeing of the animals they are fed to. The proposed study aims to question pet owners regarding their perceptions of their pets’ health and longevity, with a specific comparison of plant-based and conventional diets. This will be achieved through a survey made available to pet owners with questions regarding pet health and nutrition. The partner organization will benefit from a greater understanding of their clients’ pets and pet health, improving their ability to provide appropriate nutrition to these animals.

View Full Project Description
Faculty Supervisor:

Adronie Verbrugghe

Student:

Sarah Dodd

Partner:

Vecado

Discipline:

Medicine

Sector:

Fisheries and wildlife

University:

University of Guelph

Program:

Accelerate

Geochemical analysis of low-sulphidation epithermal deposits on the La Victoria property in the Ancash Department of the Republic of Peru

This research project will focus on analytical techniques related to determining the gold geochemistry of the La Victoria property in the western Peruvian Andes. The La Victoria property is found along a major gold belt that is host to some world class deposits such as Yanacocha, Lagunas Norte, La Arena and Shahuindo. Based on initial exploration techniques, two major mineralized areas (San Markito and Rufina) have been identified as important for gold exploration. The next stage of exploration is to examine the geochemistry of surface samples and drill cores to determine the mineralogical and geochemical signatures of the gold mineralization and to put these into a consistent model. Essentially, the mineralogical and geochemical data obtained in this study will be beneficial for continued exploration of the La Victoria property and will provide the exploration company with vital information about both areas of interest.

View Full Project Description
Faculty Supervisor:

Neil Banerjee

Student:

Kelsey Rozon

Partner:

Eloro

Discipline:

Geography / Geology / Earth science

Sector:

Mining and quarrying

University:

Western University

Program:

Accelerate

Credit Portfolio Management and Stress Testing Models Research & Development

Consistent with industry norms, ATB Financial conducts both mandatory and discretionary stress tests of the whole institution and of its credit portfolio. This project aims to contribute to the refinement of the in-house expertise on methodologies employed to measure credits risk and the overall level of risk of the institution. These activities normally requires management to provide an estimate for ATB’s financial performance, capital and liquidity position conditional on a set of predefined scenarios. The focus of the research project is on the estimation of default probabilities and loss given default.

View Full Project Description
Faculty Supervisor:

Valentina Galvani

Student:

Tian Yu Zhang

Partner:

ATB Financial

Discipline:

Economics

Sector:

Finance, insurance and business

University:

University of Alberta

Program:

Accelerate

WP 3.1.2 Next Generation Product Cost Tracking

Ciena would like to drastically improve its ability to track, analyse and forecast the cost of products. Building on experience with the current tool suite and business practices, Ciena aims to develop a next-generation product cost analytics solution that will run on its existing IT infrastructure and allow capture, analysis and modeling of historical as well as simulated material and transformation cost data.

View Full Project Description
Faculty Supervisor:

Stéphane Gagnon

Student:

Mamadou Diallo

Partner:

Ciena Corp.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Université du Québec en Outaouais

Program:

Accelerate

High Fidelity Mixed Reality Platform for Surgical Training and Pre-Operative Rehearsal

We intend to create a novel mixed physical and virtual environment for use in resident education and surgical pre-planning. Our goal is to improve patient safety and amplify training and planning regimes with technology adjunctive to classic apprenticeship or cadaver-based education. To achieve this, we propose the creation of a mixed simulation paradigm expanding on our previous work with printed and virtual simulation where the effective elements of both simulations are combined. Once created, this platform can be used for temporal bone surgery and ported to neurosurgical procedures, spine surgery, hip and knee surgery as well as dental procedures.

View Full Project Description
Faculty Supervisor:

Jordan Hochman

Student:

Azam DAVARI DOLATABADI

Partner:

Advanced Bionics c/o Connect Hearing

Discipline:

Medicine

Sector:

Life sciences

University:

Program:

Accelerate

High value-addition of forestry residuals into levulinic acid

Levulinic Acid (LA) is among the top twelve value-added platform chemicals, and is an abundant and versatile building block for numerous compounds aimed at consumer applications. LA is produced in insufficient quantities to meet market demand and by using fossil fuels which prevents LA production to meet environmental standards. We propose a novel, efficient, and green conversion of forestry residuals into LA production, while using crude glycerol, a biodiesel industry by-product, as an alternative to strong acid to minimize the by-products concentration obtained during acid treatment. We also propose to use ultra-sonication as a specific, simple and less-energy intense approach in comparison to inefficient product formation with conventional LA production approaches. The combination of semi-continuous and aqueous two-phase system will boost LA yield and recovery for commercial applications. The possible technology transfer to future industry will be defined thanks to a techno-economic evaluation. The proposed work will lead to a valuable cutting-edge technology that could benefit CRIQ and help them offer services with innovative solutions to the industry looking for value-added products from solid and liquid wastes.

View Full Project Description
Faculty Supervisor:

Satinder Kaur Brar

Student:

Vinayak Pachapur

Partner:

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Accelerate

Real-time (re-)planning of redundant robots with task-priority in a dynamic and constrained environment

This project proposes a novel planning algorithm based on merging a sampling-based global planner with an inverse kinematics-based controller, defined local planner. The idea is to run off-line the global planner before the motion starts. Then, during the motion, the local planner is executed and simultaneously at lower frequency the global one is performed “to capture” eventual environmental changes. In this way, the advantages of both the planners are collected. Indeed, the local one ensures the feasibility of trajectories and whereas the global one ensures of avoiding the local minima. Thus, the robot system motion performance does not present the issues that generally result separately applying the two planners.

View Full Project Description
Faculty Supervisor:

David Meger

Student:

Daniele Di Vito

Partner:

Kinova Robotics

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Tobacco-Concurrent Addictions and At-risk Youth in Ottawa: A Mixed Methods Community-Based Participatory Action Research Project (TCAY-Ottawa)

This proposed research project will aim to understand current attitudes, beliefs, and behaviours related to tobacco smoking and drug use. Based on these findings, an existing intervention for tobacco dependence management and point of care, known as PROMPT will be modified for a non-mainstream youth population. The youth sample undergoing the intervention will be followed for 6 months, and these results will be assessed for reduction and/or quitting of tobacco smoking and drug use behaviours.

View Full Project Description
Faculty Supervisor:

Smita Pakhale

Student:

Alzahra Hudani

Partner:

United Way Ottawa

Discipline:

Epidemiology / Public health and policy

Sector:

Medical devices

University:

Program:

Accelerate

In vitro validation of candidate therapeutic targets for Chronic Obstructive Pulmonary Disease (COPD)

Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder of the lung, which is characterized by shortness of breath and progressive loss in lung function, and one that affects 2.6 million Canadians and 380 million people worldwide. The current therapies are very imprecise and none modifies disease progression or mortality. Therefore, there is a pressing need to discover new therapeutic targets that may be important molecular drivers of airways disease in COPD. The goal of this project is to understand how two genetic targets discovered using genomics and computational biology (i.e. FAM13A and PTCH1) play a role in the development of COPD. By understanding the relationship between the biology of these gene targets, we may be able to provide valuable information to enhance the drug discovery and delivery process for patients with COPD in Canada and worldwide.

View Full Project Description
Faculty Supervisor:

Chinten Lim

Student:

Anthony Tam

Partner:

Providence Health Care

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Applied machine learning for health insurance fraud detection

Research and develop a machine learning application to detect fraud in health insurance claims. The project will seek to understand how machine learning can contribute significantly to health insurance fraud detection, and develop a methodology to yield the best results using available data and current machine learning best practices. The output of the project will be a unique machine learning framework to enable health insurance fraud detection, an engine that can be integrated with existing insurance claim software and a front-end dashboard for analysts. The contribution of this research will be to provide a new, automated approach to insurance fraud detection, saving significant time and money to the public and private sector alike.

View Full Project Description
Faculty Supervisor:

Vladimir Makarenkov

Student:

Nadia Tahiri

Partner:

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Bacterial biofilms – Phytochemicals, efflux pumps and food safety applications

The partner organization is designing novel dispensing equipment for liquid products to be used by quick-service restaurants. A food safety concern related to the R&D of this equipment is the potential health hazards associated with the formation of bacterial biofilms within the dispensing system. Biofilms are complex bacterial communities that grow on surfaces contacting liquids. The risk for consumers is that these biofilms could shelter practices to remove biofilms will be established. Because bacteria within biofilms are resistant to conventional disinfectants, non-conventional antimicrobials derived from plants (like essential oils) will be used. The partner organization will benefit from the practical applications of plant antimicrobials, not only in biofilm removal and the safe operation of the dispensing equipment, but also in the improved detection of pathogens.

View Full Project Description
Faculty Supervisor:

Rafael Garduno

Student:

Alexa Jollimore

Partner:

AC Dispensing Equipment Inc

Discipline:

Food science

Sector:

Advanced manufacturing

University:

Program:

Accelerate

Previous
1…780781782783784785786…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe