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

Tightly-coupled Visual-Inertial-LiDAR SLAM

Since Amazon robotics expanded the use of drones to package deliveries to customers, drone applications have been expanded to many industries along with its ability to perform various tasks autonomously. The fundamental technology of drones’ autonomy comes from perceiving its surrounding, creating its own map based on onboard sensors and estimate its location within the map. This technology, also known as Simultaneous Localization and Mapping (SLAM), has been on the rise especially in mining and construction industries for surveying and mapping the site more efficiently; thus, many research works have been performed to improve robot’s SLAM technology. Although various sensor suites have been researched to improve SLAM performance, this project focuses on the novel contribution of developing a robust and accurate 3D SLAM by jointly optimizing stereo cameras, IMU and LiDAR measurements. TO BE CONT’D

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Faculty Supervisor:

James Richard Forbes;David Meger

Student:

Kyungmin Jung

Partner:

ARA Robotique

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Program:

Accelerate

Modelling the Dependence between Loss Frequency and Loss Rate

Lending to various companies and individuals is a core business of banks. This lending activity comes with credit risk, namely the risk that some borrowers default and fail to make required payments. Estimating credit risk accurately is important for banks’ risk management. In this project, we analyze and model the dependence between loss frequency and loss rate of defaulting customers. The reason for the dependence comes from the underlying economic cycle: in an economic downturn, losses occur both more frequently and more severely than in an economic boom. In this project, we plan to develop a suitable model for this dependence structure between loss frequency and loss rate, which will help estimate credit risk more accurately and thus determine capital requirements more precisely.

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Faculty Supervisor:

Christoph Frei

Student:

Han Cao

Partner:

Canadian Western Bank

Discipline:

Statistics / Actuarial sciences

Sector:

University:

Program:

Accelerate

Reconstruction of Historic Phosphorus Loadings to Mara Lake: Evaluation of Changes in Trophic State

Mara Lake in the southern interior of British Columbia, Canada, experienced a large algal bloom in 2010. Such algal blooms can be harmful to the health of humans and livestock, and can damage the ecological, recreational, and resource values of the lake. The algal bloom was associated with increased nutrient inputs from human land uses in the lake’s watershed. This project will use a paleolimnological approach to make objective, credible inferences as to past changes in human caused nutrient loading to Mara Lake. Inferred changes in past nutrient levels will be compared to contemporary indicators of nutrient loading obtained from mass balance approaches. The data and anticipated results from this study will inform best management and remediation measures to manage nutrient loading and mitigate environmental damage at Mara Lake.

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Faculty Supervisor:

Ian Walker

Student:

Nicholas Hebda

Partner:

Fraser Basin Council

Discipline:

Environmental sciences

Sector:

University:

Program:

Accelerate

Enhancements to Smart Disease and Pest Prediction System Through the Use of Machine Learning Techniques

Given the current global environmental crisis, developing sustainable solutions to enhance or replace our current agricultural practices is critical: the agricultural sector exerts important environmental pressure through its aggressive land, water and pesticide usage combined with the ever increasing demand on food supply. Mitigating this problem requires developing more sustainable and efficient agricultural techniques. Precisely, advances in networking and sensing technologies allows us to gather vast amounts of data in the fields that can be fed to complex machine learning and data mining algorithms to enhance current pest and disease prediction models. Such models feature unprecedented accuracy and flexibility, ultimately allowing farmers to significantly reduce their water and pesticide usage. This is exactly the kind of solution the current project will focus on by helping Ukko Agro, a Canadian company, extend the capabilities of their current precision agriculture solution.

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Faculty Supervisor:

Scott Sanner

Student:

Antoine Viscardi

Partner:

Ukko Agro Inc

Discipline:

Computer science

Sector:

Agriculture

University:

Program:

Accelerate

Analysis Tools for Automated Rehabilitation Assessment and Progress Tracking

In this project, Cardon Rehabilitation and Medical Equipment (CRME) and the University of Waterloo (UW) will test the Automated Rehabilitation System (ARS) for lower body physiotherapy in a clinical environment. ARS provides the ability to measure the human pose during the performance of rehabilitation exercises and provide real time feedback. CRME and UW are interested in developing algorithms to automatically assess the changes in patient recovery rate. The intern will develop numerical metrics of exercise performance which can be used by clinicians to better understand patient performance and progression as a supplement to current subjective scales that are common in clinics and reduce inter-rater variability.

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Faculty Supervisor:

James Tung;Dana Kulic

Student:

Jonathan Lin

Partner:

Cardon Rehabilitation and Medical Equipment

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

Program:

Accelerate

Development of the Parasocial Identifier for Social Media

Since the introduction of radio and television, fans have had a connection to those they know in the media. These connections are called “parasocial relationships” and they are one-sided relationships, usually between a fan and a celebrity, that is usually not face-to-face. With the advent of social media, any person, or company, can become a celebrity and gain fans. In this project, the intern will work with a marketing company to develop computer algorithms to automatically analyse comments on Instagram and determine how many account followers have parasocial relationships with the account owner. He will then develop a way to summarize these results in a parasocial identifier (PSI) score.

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Faculty Supervisor:

Terry (Fan) Jiang;Kafui Monu

Student:

Colton Aarts

Partner:

Splash Media Group

Discipline:

Computer science

Sector:

Agriculture

University:

Program:

Accelerate

Extending artificial intelligence in the operating room

Assessment of surgical data from an operating room is a complex process that may require significant resources such as expert input and advanced technology. Automation brings a considerable opportunity to greatly reducing these significant resource requirements – e.g., using computer vision software to detect clinically relevant actions during surgery. However, those detections should be interpretable, or more actionable in order to be audited or reviewed. This project applies various ‘explainable AI’ (XAI) technologies, which will allow us to evaluate the impact of solutions, which generalizes across the healthcare syste

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Faculty Supervisor:

Graeme Hirst;Jimmy Ba;Sanja Fidler;Marzyeh Ghassemi

Student:

Mengxuan Lyu;Chantal Shaib;Jinyue Feng;Vaibhav Saxena

Partner:

Surgical Safety Technologies Inc

Discipline:

Computer science

Sector:

University:

Program:

Accelerate

At-a-station measurement and prediction of flow and sediment fluxes in rivers

This project will make a major contribution to improve channel rehabilitation projects, which are reconstructing streams to imitate the natural form of the stream. These projects are very costly and their failure can cause high financial losses. The results of this project will lead to a decrease or elimination of the financial losses by improving the design of restored channels. In addition, this project will improve protection of the species-at-risk “Redside Dace” by improving the accuracy of monitoring the deleterious sediments entering their habitat.

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Faculty Supervisor:

Bruce MacVicar

Student:

Fatemeh Asal Montakhab

Partner:

Beacon Environmental Ltd

Discipline:

Engineering - civil

Sector:

University:

Program:

Accelerate

Improving Social Justice and Economic Stewardship along the Global Value Chain: The Effectiveness of Interventions within Fragile Environments

Governments and consumers increasingly are demanding that companies take concrete action to improve environmental stewardship and social justice along their entire supply chain. In developing countries, however, this effort is hampered by lack of knowledge as to what kinds of initiatives yield positive outcomes. This research is a pilot project to develop new insights into the conditions under which local mining communities can improve their living conditions. Our interns will be directly involved in organizing and analyzing newly gathered data and they will also be working towards improving our ongoing data collection methods and the theoretical framework that underpins this much needed effort. The partner organization, IMPACT, will benefit from the data management and statistical management skills of the interns to derive novel insights that can be disseminated to Canadian business.

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Faculty Supervisor:

Anthony Goerzen

Student:

Shengwen Li;Luke Fiske

Partner:

IMPACT

Discipline:

Business

Sector:

Other services (except public administration)

University:

Program:

Accelerate

WP 1.1.5 – Analog, RF, and SPIC Testing On a Low-Speed Tester

This project will address the production test needs of a silicon-based high-speed photonic transceiver solution for metro-reach terabit optical modems. For this project, the partnership will be between Ciena, DA Integrated (test development contractor) and Prof. Gordon W. Roberts from McGill University (academic expert in DFT and mixed-signal design and test). The scope of this collaborative research will be to devise low-cost test techniques and DFT circuits beyond the current state-of-the art that will potentially be used in production testing, characterization, and calibration of Ciena’s next generation optical transceiver chips (>100 Gbps). Of particular interest is the need for the analog/mixed-signal/RF circuits to be tested on a digital test platform. TO BE CONT’D

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Faculty Supervisor:

Gordon Roberts

Student:

Ahmed Emara;Denis Romanov

Partner:

Ciena Corp.

Discipline:

Engineering - computer / electrical

Sector:

Information and cultural industries

University:

Program:

Accelerate

Storying Access: Reconciling the Effects of Betterment Discourses in Southern Ontario’s Early 20th Century Domestic Science Education

Building on my recent archival research, my Mitacs project explores the ways early 20th century discourses of betterment and progress, such as eugenics, in southern Ontario were unevenly entwined within rural domestic science educational institutions and connected to cultural histories and legacies of colonialism that diminished and disappeared young women who did not fit the normative middle-class lives of white, able-bodied women who studied, taught, and led in the field of domestic science. Combining recent studies in history, education, feminism, postcolonialism, and performance ethnography in a collaborative, Indigenous research model of decolonization (Smith 2013), I will assemble a team of disability, Black activist, and Indigenous artist-researchers to join me in collaboratively curating two accessible, multi-media exhibitions that address and disrupt local histories and legacies of betterment. The exhibitions will advance non-normative vitality and social justice. Accessible curatorial practices will be developed with support from Dr. Rice, her Re•Vision Centre and Bodies in Translation SSHRC Partnership teams, and 10C. One of the exhibitions will be mounted at10C, where passersby are invited to share ideas and stories. Accessibility workshops and conversation evenings at 10C will be a springboard for “Streetside Stories,” publications, future research, and attracting social finance investment to 10C.

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Faculty Supervisor:

Carla Rice

Student:

Evadne Kelly

Partner:

10C Shared Space

Discipline:

Food science

Sector:

Other services (except public administration)

University:

Program:

Elevate

Modeling and control of CPP’s proprietary Mighty Dredge & Bypass Pump Technologies

Canada Pump & Power (CPP) is an Alberta specialized industrial marine company. CPP has a novel proprietary dredge propulsion method based on a set of winch-driven cables: the patented Autonomous Mighty Dredge. Control strategies to date have delivered adequate performance in some operating conditions; the goal is to have the dredge capable of performing to a slurry rate specification under automatic control in a wide range of operating conditions (variable deposits, density, obstacles). CPP is also developing a new, proprietary Autonomous Submersible Bypass Pump, which automates submersible operations, is managed by a computer program and interface, and can work with the dredge or on its own. CPP is looking for university-based research to examine the controllability problem, identify candidate control schemes, including model-based control and control methods based on machine learning using data from current dredging and pumping operations. Issues of Observability and Controllability will be addressed through a laboratory-based program of developing a scaled-down dredge system with controllable dredging conditions for data collection and control verification studies, with the intent to test the likely control techniques to an industrial prototype automated dredge at CPP’s Ardrossan facility. 

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Faculty Supervisor:

Charles Robert Koch

Student:

Mohammad Rashedi

Partner:

Canada Pump & Power

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

University of Alberta

Program:

Elevate

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