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

Private Secure Blockchain Transactions

IDENTOS and the University of Ottawa will collaborate in the research and development of cryptographic techniques for secure and privacy-respecting blockchain transactions. This project has research, design and implementation aspects. The project builds on the strengths of IDENTOS and The University of Ottawa in the areas of Mobile Security Privacy and Blockchain. The students will receive valuable experience in applied cryptography on a leading edge enterprise solution. IDENTOS will gain access to specialized skillsets of the students and their Supervisor.

View Full Project Description
Faculty Supervisor:

Carlisle Adams

Student:

Maryam Hazaveh

Partner:

IDENTOS Mobile Security

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Optimizing Biofiltration for Improved Manganese Control under Winter Conditions

The presence of manganese in drinking water supplies has been problematic for drinking water providers as it can be difficult to remove during treatment and it creates aesthetic challenges, such as colored (e.g. black, brown) and bad tasting/smelling water. Recently, Health Canada has proposed a health-based maximum acceptable concentration for Mn of 0.10 mg/L. Biofiltration technology is growing in popularity as a sustainable method for removing Mn from drinking water; however, there is a lack of evidence to support the effectiveness in cold water (less than 10ºC). Therefore, the goal of this research is to identify the possible causes for reduced Mn removal and to test strategies to improve biological Mn removal, under winter conditions. This work will be used to develop engineering solutions for winter Mn removal that in turn can be used to help Canadian water providers improve overall water quality.

View Full Project Description
Faculty Supervisor:

Graham Gagnon

Student:

Lindsay Anderson

Partner:

Arcadis US Inc

Discipline:

Engineering - civil

Sector:

Alternative energy

University:

Program:

North Coast Innovation Lab

The two internships proposed in this application are for research and feasibility project coordinators for the North Coast Innovation Lab (NCIL) in Prince Rupert, BC.
In addition to research and feasibility around potential projects that will a) grow the local economy for fish and marine products, and b) enhance coworking and resource sharing, the internships will also explore, at both systems and ground levels, how social innovation strategies of economic development and community building can be applied in the rural, northern and coastal context.
Ultimately, the NCIL hopes to spark a systemic shift in the approach to community-led economic development, and interns will play an integral role in the planning, research, prototyping and feasibility of marine economy-building and resource-sharing initiatives.

View Full Project Description
Faculty Supervisor:

Nancy Olewiler

Student:

Kara Herbert

Partner:

Ecotrust Canada

Discipline:

Environmental sciences

Sector:

Forestry

University:

Program:

Accelerate

Teaching robotics programming in conjunction with virtual simulation software: An evaluation of learning behaviors in secondary students

Studies have indicated a positive correlation between teaching robotic programming using a virtual platform with speed of learning and deeper level understanding. We will study how students learn when provided with just physical robots, just virtual robotics software, and both in conjunction with each other. This study will also attempt to assess indicators of learning that are more in line with the direction of the Next Generation Science Standards (NGSS), under the assumption that they will be more relevant to modern students, educators, and the corporations in relevant fields. Students who utilize a more interactive or constructive mode of learning have been shown to achieve a deeper level of understanding compared to passive or even active learning. Therefore, this study will focus more on the learning behaviors of the students as a reflection of true learning, as opposed to testing for the content itself.

View Full Project Description
Faculty Supervisor:

Richard Hechter

Student:

Michael Zurba

Partner:

Cogmation Robotics

Discipline:

Education

Sector:

Education

University:

Program:

Accelerate

Characterizing and Improving the Robustness of Convolutional Neural Networks

Convolutional neural networks (CNNs) are expressive function approximators that play an important role in solving modern computer vision tasks, such as object recognition, and even summarizing images in natural language. Given their broad utility, CNNs have already been deployed in performance-critical systems, such as autonomous vehicles. Unfortunately, these models are vulnerable to subtle perturbations of their input, and typically have unreliable confidence estimates. These weaknesses have spawned a flurry of research aiming to devise reliable defense mechanisms, and tackle the confidence problem, but no compelling solution has been proposed to date. These open challenges severely limit the extent to which AI can be adopted in commercial settings that improve life and benefit the economy. This project has three goals: 1) characterize these limitations with respect to relevant concepts such as generalization and stability. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Graham Taylor

Student:

Angus Galloway

Partner:

Borealis AI

Discipline:

Engineering - other

Sector:

Information and communications technologies

University:

Program:

Accelerate

Development of electrospun micro/nano fibrous strain sensors with temperature sensing capabilities for wearable textile applications

Piezoresistive strain sensors respond to a mechanically induced deformation with a change in their electrical resistance. Large strain flexible strain sensors have been adopted for numerous applications including rehabilitation, health and sport performance monitoring as well as physiology and kinesiology applications. Although development of these flexible strain sensors has reached a level of maturity, design of a multifunctional strain sensor with temperature sensing capabilities and its integration with wearable textiles and electronics have still remained a challenge. In this project, a flexible strain sensor with high sensitivity and durability will be manufactured to be integrated within Myant’s knitted textiles while maintaining their already existing passive and active sensing features. A temperature sensing aspect will also be included in the device by using polymers with shape memory properties. For this purpose, an electrically conductive polymeric matrix will be fabricated to form a micro/nano fibrous flexible substrate.

View Full Project Description
Faculty Supervisor:

Hani Naguib

Student:

Nazanin Khalili

Partner:

Myant Inc

Discipline:

Engineering - mechanical

Sector:

Advanced manufacturing

University:

Program:

Accelerate

CRISPR-based precision breeding of semi-dwarf high-performance hops

Traditional breeding of agricultural plants is based on repeated self fertilization of large number of parental plants followed by screening larger offspring populations to uncover random natural or induced genetic variants with a desired trait. This approach can take many years and considerable resources to complete. This approach cannot directly be applied to hops breeding as hops have separate female and male individuals, preventing self fertilization. As a consequence, hops breeding is relatively undeveloped. Here we propose to use a new approach that relies on precise modification of specific genes to generate hops plants that are shorter than current varieties and therefore require shorter trellises for growth and are easier to harvest. This approach does not require the presence of foreign genes or induction of random genetic variation and can be completed using a fraction of funds and time of traditional breeding to complete. Shorter hops plants with high yield of hops cones are notably absent from the market despite the obvious use, and may therefore provide a unique variety for sale by the partner organization.

View Full Project Description
Faculty Supervisor:

Jim Mattsson

Student:

Katherine Sims

Partner:

BioCan Technologies Inc

Discipline:

Biology

Sector:

Life sciences

University:

Program:

Optimization of the force sensitive mechanism for football and bicycle helmets

A helmet and its components such as chin strap are designed, tested, and certified for compression force only while neglecting sharp twisting of the brain. The goal of this project is to develop and integrate a Force Sensitive Mechanism (FSM) to a chin strap of a football and bicycle helmet. FSM offers a controlled tightness of the chin strap during impact. FSM can significantly improve the protection of the head against sharp twisting of the brain. In addition, FSM can reduce the risk of neck and throat injuries during an impact. Helmets equipped with FSM will undergo standard helmet tests such as impact test and retention system strength test to ensure compliance and safety

View Full Project Description
Faculty Supervisor:

Siamak Arzanpour

Student:

Adrian Wikarna

Partner:

Shield-X Technology Inc

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Deloitte IP Factory: dTRAX Contract Management

Manual contract analysis and management is a laborious task. dTrax is Deloitte’s managed solution to this problem—it uses machine learning to automate the arduous contract management process and help users gain further insight from contracts. Specifically, dTrax will be used to standardize the intake of legal contracts, generate and edit contracts within a web interface, and identify and monitor changes in contracts. The proposed research project aims to improve dTrax by automating contract checking and analysis. This includes categorizing sections of a contract into clauses, determining whether the clauses satisfy predetermined requirements, and identifying risky clauses in contracts. Through this research, Deloitte will be able to bring tangible economic value to the legal sector, which can translate into improved decisions by companies trying to enter a legal agreement.

View Full Project Description
Faculty Supervisor:

Qiang Sun

Student:

Christine Yuen

Partner:

Deloitte

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Hydrogen and stress in electroless copper and electroless nickel films

Electroless copper is used by the printed circuit board industry for interconnections between the different components. High-end applications, such as mobile phones, drive the need for smaller connections, flexible substrates and efficient manufacturing methods. Atotech, the industrial partner, is one of the global leaders in this segment. Mount Allison University has been a research partner for eight years, focussing on evaluating copper film stress and hydrogen content. The current stage of the project is to investigate how bath additives can be used to reduce hydrogen co-plating and to control film stress. This project combines in an ideal way applied industrial research with academic questions, providing an excellent learning opportunity for a graduate student.

View Full Project Description
Faculty Supervisor:

Deny Hamel

Student:

Alexandre Leger

Partner:

Atotech Deutschland GmbH

Discipline:

Physics / Astronomy

Sector:

Automotive and transportation

University:

Program:

eChaperone Computer Vision Application in Healthcare Analytics

Providing high quality healthcare service is important in a society not only for the patients but also for their families and friends, who devote time to take care of their loved ones. In order to meet the healthcare demands of citizens, especially for the baby booming generation, an increasing number of long term care facilities are necessary. There are many challenges to run these facilities to ensure safety and care compliance. The echaperone project will apply state-of-the-art computer vision and machine learning techniques in video analytics. The goal is to monitor residents’ safety and alert the facility management when suspicious events occur, while at the same time protecting the residents’ privacy. The echaperone alert system will also be available on mobile devices so that authorized supervisors, families or friends can be informed just-in-time if attention is needed. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Irene Cheng

Student:

Xuping Fang

Partner:

eChaperone.AI

Discipline:

Computer science

Sector:

Medical devices

University:

Program:

Accelerate

International Farm Workers in Essex County: Belonging and Socially Inclusive Rural Communities

While agricultural migrant workers provide much needed labour in Canadian agriculture, they feel alienated from the host society. Their alienation and exclusion is related in part to the working and living conditions migrants experience in Canada. In addition, we propose to study how such factors as the architectural designs of the towns where migrant workers reside; availability of spaces for social activities; opportunities for intercultural encounters; cultural awareness and sensitivity among the host population, presence of community organizations and settlement agencies; social networks, and the presence of the infrastructure of ethnic businesses, shape their inclusion and exclusion. Based on a a multi-method qualitative and community-based research methodology, the study will focus on belonging among migrant workers in two rural communities in Essex county: Leamington and Kingsville.

View Full Project Description
Faculty Supervisor:

Tanya Basok

Student:

Dobrila Cukarski

Partner:

Ontario Greenhouse Vegetable Growers

Discipline:

Anthropology

Sector:

Forestry

University:

Program:

Accelerate

Previous
1…797798799800801802803…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe