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

An Intelligent UAV System for Power Line and Utility Condition Assessment

This research project will develop an intelligent UAV (unmanned aerial vehicle) system, which is capable of autonomous navigation, for the inspection of power lines and utility. The automated inspection is based on the technologies of computer vision and artificial intelligence. The UAV flies autonomously over the infrastructure capturing the images with high-definition RGB camera and thermal camera. The acquired image data are processed with algorithms powered by artificial intelligence for the condition assessment of the infrastructure. The derived information provides a solid evidence to support the decision making in asset management and maintenance. The surveillance and monitoring with the intelligent UAV system will assure a reliable power transmission and distribution.

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Faculty Supervisor:

Zheng Liu

Student:

Shuai Zhang

Partner:

TerraSense Analytics Ltd

Discipline:

Engineering - other

Sector:

Agriculture

University:

Program:

Accelerate

Perovskite Solar Cell Development

The concern regarding the environmental impacts of climate change due to the consumption of fossil-fuels for our daily energy needs has notably increased over the past decade, resulting in a rapid increase of renewable energy implementation. The solar energy industry in particular has seen exponential increases in production worldwide. Perovskite solar cells gained critical acclaim in the scientific community and were voted Science’s top 10 discoveries of the year in 2013 due to their inherently high efficiency, and cheap material fabrication cost compared to the standard silicon solar cell technology. This solar cell technology is likely to play a large role in the next generation of large-scale clean energy production. During this project we will address the last barriers to perovskite solar cell commercialization

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Faculty Supervisor:

Ian Hill

Student:

Irina Valitova;Samuel March

Partner:

Rayleigh Solar Tech Inc.

Discipline:

Geography / Geology / Earth science

Sector:

Energy

University:

Dalhousie University

Program:

Accelerate

Investigation of Microorganisms’ Co-culture System for Biomass/Biofuel Production

The research focuses on the crucial needs for the optimization of biofuel production process. It supports the Canadian energy and environment sectors which are seriously searching for more efficient process, targeting the increasing concern of the society with respect to the fossil fuel energy resources depletion and environmental footprints.

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Faculty Supervisor:

Sohrab Zendehboudi

Student:

Hamid Reza Momtaz

Partner:

Orcinus Technologies Inc.

Discipline:

Engineering - other

Sector:

University:

Memorial University of Newfoundland

Program:

Accelerate

Efficacy of Radiant Energy Veils in Multi-glazing Fenestration

Today buildings, which account for 40% of the total global energy consumption, constitute large glazing surfaces given that windows provide the necessary spacious feel and direct daylighting for occupants. However, 60% of the heat loss through its exterior surface is attributable to glazed surfaces (windows). Therefore, it is not surprising that advanced fenestration products have enormous potential to realize large energy savings and contribute toward the vision of net/near-zero energy buildings. The objective of the present project is to advance the development of alternative smart technologies thereby overcoming the compromise between performance and cost. This will be achieved through the integration of radiant energy coatings on dynamic shades and blinds disposed within a dual pane/glass window system so as to achieve high thermal performance and daylighting window systems. The proposed project will undertake a detailed study of alternative smart window technologies wherein tunable partitioning radiant energy veils are integrated. The focus of the study will be energy savings under a manifold of design conditions and operating scenarios. The study will be based on benchmarked computational models developed with the flexibility to account for a variety of design features, geographic locations (climatic zones), and operating modes.

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Faculty Supervisor:

Stefan Zukotynski

Student:

Parham Sadooghi

Partner:

3E NANO INC.

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Characterizing the concentration and makeup of microplastics in wastewater effluent and stormwater overflows to the Ottawa and Rideau Rivers and evaluating microplastic removal in wastewater streams with a newly developed mesh sock.

The research aims to examine the amount and type of microplastics in wastewater streams entering the Ottawa River. As wastewater treatment has been identified as one of the main conduits of microplastics to freshwater environments, the research will sample both wastewater effluent and combined sewer overflows to get a better understanding on how many, and what types of microplastics enter the Ottawa River via these pathways. By investigating the amount and make up of microplastics in wastewater streams, the research can provide valuable information to RESTco, so the company can further develop and test tools for effective micro and nano-plastic removal from wastewater streams and existing pollution in wild waters.

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Faculty Supervisor:

Jesse Vermaire

Student:

Shaun Forrest

Partner:

RESTCo

Discipline:

Environmental sciences

Sector:

University:

Carleton University

Program:

Accelerate

Selective recovery of Ni-Co-Mn in sulfate media, and graphite from spent Lithium Ion Batteries

In recent years the lithium consumption for batteries has remarkably increased because of the extensive applications of rechargeable lithium batteries in portable electronic devices, electric tools, electric vehicles, and grid storage. The surging demand for these applications asks for innovative solutions for recycling of the spent lithium ion batteries. This proposed project is an attempt to develop solutions for two of the challenges in the lithium ion battery recycling process flowsheet of a Canadian company, Li-Cycle, to produce high value products for market from the ingredients of spent batteries.

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Faculty Supervisor:

Sadan Kelebek

Student:

Noufou Traore;Jingxiu Wang

Partner:

Li-Cycle

Discipline:

Resources and environmental management

Sector:

Mining and quarrying

University:

Queen's University

Program:

Accelerate

Arsenic solubility and its mechanism from DST glass arsenic product; an arsenic solubility study and comparison with other stable arsenic minerals (scorodite, encapsulated scorodite, and calcium arsenate)

The project focuses on the evaluation of the arsenic-containing glass material that the new Dundee Sustainable Technologies (DST) process produces. The idea is to evaluate the stability of arsenic in the material, and through a feedback process to DST improve the quality of the process for the production of arsenical materials.

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Faculty Supervisor:

Ahmad Ghahreman

Student:

Masih Soleymani Naeini

Partner:

DST

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

Queen's University

Program:

Accelerate

Cognitive and Computationally Intelligent Algorithms for the Detection of Cyber Threats

The rapid and widespread advancement of cyber-threats within the past few years has had a profound impact on virtually everyone, from ordinary people to governments to local organizations. This has caused cyber-security to be considered a global challenge, which is now requiring innovative solutions, such as incorporating human cognition based methods into the software algorithms to detect malicious activities of adversaries. This is because, the cyber-security industry is heavily dependent on the knowledge, and analysis and investigation skills of analysists in the detection of cyber-threats. The analysists have the ability to coalesce and examine in their minds large stacks and disparate sources of data, spread across small and large temporal and spatial windows, and compare their observations with previous known attacks to decide if the dataset objects under scrutiny represent an attack. TO BE CONT’D

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Faculty Supervisor:

Ken Ferens

Student:

Mohammad Nurul Afsar Shaon;Kenneth Brezinski;Joshua Charles;Ainslee Heim;Andrew Sadik;Elivier Armando Reyes Davila;Siobhan Reid

Partner:

Canadian Tire

Discipline:

Engineering - computer / electrical

Sector:

Consumer goods

University:

University of Manitoba

Program:

Accelerate

Floating Wetland Treatments to Enhance Remediation (FLOWTER) Project

The IISD-Experimental Lakes Area is currently examining the effectiveness of minimally invasive shoreline methods for cleaning spilled oil. Non-invasive methods are needed to eliminate disturbance to sensitive riparian areas that occur with typical cleanup operations. Non-invasive methods protect sensitive shoreline habitats by minimizing physical contact and they can also speed oil removal after a spill and restore ecosystems more effectively. This project specifically seeks to enhance the capacity of naturally occurring microorganisms to degrade oil by optimizing the application of Engineered Floating Wetlands (EFWs) in near shore environments. Optimizing the effectiveness of this approach provides a real-world, genomics-enabled solution to a potential ecosystem threat that may be superior to other minimally invasive oil spill remediation methods being tested by the IISD-ELA program (i.e. shoreline washing, Monitored Natural Recovery, nutrient addition). TO BE CONT’D

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Faculty Supervisor:

David B Levin;Mark Hanson;Valerie Langlois

Student:

Madeline Stanley;Sonya Michaleski;Aidan Guttormson;Jose Luis Rodriguez-Gil

Partner:

IISD Experimental Lakes Area Inc

Discipline:

Engineering - other

Sector:

University:

Program:

Accelerate

Optimization of Wastewater Treatment anaerobic digestion processes.

This project will test a variety of operating conditions used in anaerobic digestion (AD) in wastewater treatment (WWT) plants. The purpose is to identify optimal conditions for AD treatment process. Optimization of AD process would increase production of biogas for production of renewable energy, increase yield of bio-products for agriculture use, reduce WWT plant operating costs, and would decrease carbon footprint of municipal WWT plants. This study will use SENTRY-AD™ technology to monitor microbial activity under various treatment conditions. Data collected by the sensors will help to identify optimal AD operating conditions.

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Faculty Supervisor:

Pascale Champagne

Student:

Alan Chang Bejarano

Partner:

Utilities Kingston

Discipline:

Engineering - civil

Sector:

Energy

University:

Queen's University

Program:

Accelerate

Analysis of the effects of a high-anxiety state on running mechanics and identifying relevant psychological predictors related to levels of emotions and mechanics

Achieving optimal sport performance is complex and multidimensional. Athletes need to have high levels of physical and psychological skill. It is already commonly understood that an athlete’s emotional state can affect performance. With this project, we would like to take this one step further and investigate how an athlete’s emotions affect movement patterns, more specifically by assessing how anxiety impacts running mechanics. To achieve this objective, we will induce an anxiety state during a treadmill run and evaluate runners’ movement mechanics via a markerless motion capture system called Kinetisense. This system has the advantage of being simple to transport and use and it is currently used in clinical environments to evaluate patients’ performance and give patients real-time feedback on their movement. TO BE CONT’D

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Faculty Supervisor:

Amber Mosewich;Albert Vette;Sean Baynton

Student:

Aïda Valevicius

Partner:

Kinetisense Inc

Discipline:

Kinesiology

Sector:

Health care and social assistance

University:

University of Alberta

Program:

Accelerate

Self-sovereign identity data of persons living with dementia at risk of getting lost: how can personal data be protected, owned by individuals, and used to keep dementia clients safe, and inform research and policy?

Three out of five Canadians with dementia wander, raising concern as to how it can be managed. Current information describing best practices to find missing persons living with dementia however, is inconsistent and can cause police difficulty in choosing search and rescue strategies for this population. The purpose of this project is to develop and promote the exchange of best practices to quickly find a lost person with dementia through the development of a guideline. It will involve a literature review and surveys with police across Ontario. The information collected from these two activities will be used to develop the anticipated guideline. The Alzheimer Society of Ontario wants to be a leader, enhancing the reputation of the Finding Your Way program, and reduce the risk of people with dementia going missing. Partnering with researchers, such as the intern, to have credibility and have police partnerships will help make that happen.

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Faculty Supervisor:

Paul Stolee;Lili Liu

Student:

Noelannah Neubauer

Partner:

Secours.io Ltd

Discipline:

Epidemiology / Public health and policy

Sector:

Health care and social assistance

University:

University of Waterloo

Program:

Accelerate

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