Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Intelligent Intrusion Detection Systems for Connected and Autonomous Vehicles

Connected and Autonomous Vehicles (CAVs) can be vulnerable to various attacks at different levels. The malicious attacks not only result in loss of confidentiality and user privacy, but also lead to more serious consequences such as bodily injury and loss of life. Intrusion detection system (IDS) is an effective way to detect different threats, and trigger alerts to mitigate the attacks. To ensure the safety of CAVs, it is extremely important to detect various attacks accurately in a timely fashion. The goal of the partnership between TELUS and University of Windsor is to investigate and develop intelligent IDS to safeguard CAVs from various security threats by exploiting deep learning. Pursued in close collaboration with TELUS, this project will overcome the core technical challenges, generate novel ideas and techniques for intelligent IDS in CAVs, generate a CAV oriented dataset and develop testbeds to secure CAVs and advance the state-of-art solutions

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Faculty Supervisor:

Ning Zhang;Arunita Jaekel

Student:

Partner:

TELUS (Calgary, AB)

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of Windsor

Program:

Accelerate

Development of an eco-friendly adsorbent for selective removal of selenium in uranium mining wastewater

While the benefits of uranium production bring economic and strategic advantages for Saskatchewan and Canada, the legacy of its tailings, waste rocks, flooded mines, and industrial wastewaters are the drawbacks. To safeguard both human and environmental health, the mining waste streams need to be treated prior to their release to the environment. The current research project aims to use agricultural residue-based materials (e.g., wheat and canola straws) as a cost-effective and eco-friendly alternative to the more expensive commercial adsorbents for removal of selenium from mining wastewater. Agricultural residues in Canada can provide an abundant source to develop inexpensive adsorbents and benefit the agricultural economy by increasing the value of the agricultural residues. The prepared agricultural residue-based adsorbents will offer an eco-friendly system for removing metal(loid)s from mining water with an initial focus on Se treatment. Investigation of the application of these biomass-based adsorbents will potentially reduce the cost of treatment of Se, and other metal(loid)s, in mining wastewater.

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Faculty Supervisor:

Jafar Soltan;Kerry McPhedran

Student:

Partner:

Orano Resources Canada Inc

Discipline:

Engineering

Sector:

Mining

University:

University of Saskatchewan

Program:

Accelerate

Minpraxis Tester signal processing automation and validation

The most energy intensive component of mineral processing is comminution (crushing and grinding), consuming, on average, about 50% of the total electric energy of a mine site. To optimize and thereby improve the energy performance, accurate measurement of the ore hardness is critical. The proposed study is aimed at developing a new test apparatus that represents an improvement over existing methods. The test apparatus has the ability to generate data for larger sample sets than present methods and thereby represents a significant improvement.

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Faculty Supervisor:

Bern Klein

Student:

Partner:

Minpraxis Solutions Ltd.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Neural network optical characterization of accreting black holes

Astronomers have long used optical spectra (detailed wavelength-specific measurements of light) to categorize galaxies. A galaxy’s spectrum encodes information about its constituent stars, gas, and dust and its central super-massive black hole (SMBH). SMBHs that are actively accreting, known as active galactic nuclei (AGN) are of particular interest to astronomers interested in SMBH physics and their role in galaxy evolution. However, because optical spectra are influenced by so many different physical processes, their use as an indicator of AGN presence is not always reliable. Fortunately, gas that is heated by the AGN also produces x-rays which can be detected by specialized space telescopes. X-ray detections are more reliable indicators of AGN, but are also more costly to obtain. In this project, we will make use of data from the all-sky eROSITA x-ray space observatory available at the host institution, and use advanced artificial neural network (ANN) machine learning techniques to predict the presence of x-ray AGN based on the optical spectra of galaxies. Once the neural network has been trained on the optical spectra of eROSITA x-ray sources, it will be used to make predictions of AGN status in galaxies based on their optical spectra alone.

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Faculty Supervisor:

Sara Ellison

Student:

Partner:

Max Planck Institute for Extraterrestrial Physics

Discipline:

Physics

Sector:

Artificial Intelligence

University:

University of Victoria

Program:

Globalink Research Award

Governance of Climate-Related Financial Risks in the Canadian Commercial Real Estate Sector: A Guide

The goal is to develop a best practice guide for the commercial real estate sector, focusing on the legal duties of Canadian directors and officers in respect of managing climate change, best practices for corporate boards, reporting on the latest research globally on best climate governance practices in the commercial real estate sector.

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Faculty Supervisor:

Janis Sarra

Student:

Partner:

Real Property Association of Canada

Discipline:

Sociology

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

A Computational Fluid Dynamic Model of Archimedes Screw Pumps

The Archimedes screw pump (ASP) has been used since antiquity (circa 700 BCE) for high volume, low head pumping applications. There are not many screw pumps installed in Canada; they are much more common in Europe. However, there is significant potential for ASP use in Canada since they can safely transport food-grade liquids, biohazardous materials, granular solids, liquids containing suspended solids, and live fish. Screw pumps are an empirical technology; there is little engineering design guidance or research in the literature, making application-specific ASP design difficult. There is an opportunity to significantly improve the efficiency and performance of screw pumps by developing engineering design tools. The University of Guelph’s research team has built a successful, comprehensive design tool for Archimedes screw generators, and plan to work together to develop a new, first-of-kind model for screw pumps. Mr. Simmons’ deep experience with the related Archimedes screw generator research, coupled with the unique features of the ICUBE laboratory (personnel, computing cluster, hydraulics lab, proximity to field sites) will be able to expedite the development of the proposed model.

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Faculty Supervisor:

William David Lubitz

Student:

Partner:

Université de Strasbourg

Discipline:

Engineering

Sector:

Education

University:

University of Guelph

Program:

Globalink Research Award

Choral Drone: Theatrical applications of UAVs

Drone light shows use precise choreography, high-powered LEDs and various projectors to create moving images in the sky. Cirque du Soleil has disguised UAVs as props and set pieces to create a sense of magic onstage. Additionally, researchers have used performance techniques, such as Laban Movement Analysis, to study human-UAV communication. Traditional performance spaces have a grid in the ceiling with lights and projectors hanging from it to illuminate the stage. However, hanging and focusing these instruments is time-consuming, and said instruments’ fixed position can often be limiting. Can we replace a standard lighting grid with lighting and projection-enabled drones? We will attempt to answer our question by creating the Choral Drone, a lighting and projection-equipped drone swarm deployed during a short play’s creation and rehearsal process. Our research will examine the strengths and weaknesses of drone choreography, live swarm response and projection mapping in live performance scenarios.

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Faculty Supervisor:

Patrick Finn;Ehud Sharlin

Student:

Partner:

Ben-Gurion University of the Negev

Discipline:

Computer science

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

The fate of neutrophils and role of monocytes in sterile inflammation

Our immune system Is designed to protect us from harmful agents. It must initiate a rapid potent inflammatory response to eliminate invading pathogens. Although similar to the eradication of pathogens, the inflammatory response can also occur following a sterile injury and is required for tissue repair and wound healing. This includes trauma, ischaemia-reperfusion injury, autoimmunity or burn induced injury that occurs in the absence of any microorganisms. Sterile inflammation underlies the pathogenesis of many diseases and in both sterile and infectious Inflammation, neutrophils are the primary cells recruited to the sites of inflammation. They use their considerable antimicrobial arsenal to kill pathogens but also phagocytose cellular debris in order to resolve the cause of inflammation. However, these same functions can also cause collateral tissue damage and perhaps more in sterile injury where there are no pathogens to kill. Thus, it is crucial that neutrophil functions are tightly controlled during the whole process of inflammatory response. This is thought to be achieved by their innocuous clearance by other types of immune cells and in particular monocytes that enter the site of sterile injury within hours of the neutrophils. In fact, pathology text books all suggest that neutrophils are eliminated by monocytes.

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Faculty Supervisor:

Paul Kubes

Student:

Partner:

University of Calgary

Discipline:

Life Sciences

Sector:

Education

University:

University of Calgary

Program:

Elevate

Creating He- using H- ion source beam on He0

Metals, and particularly alkali metals, are contaminants in silicon wafers used to make computer chips and power electronics devices [1,2,3]. The movement of contaminating ions in the SiO2 under the influence of an applied voltage across the oxide causes the electrical characteristics of the transistor, such as the threshold voltage, to change [4]. This is particularly problematic for the class of ion implanters used in the production of silicon-based computer chips and power electronics devices requiring negative ion beams for the implant process [5]. To date these negative ion beams have been created by way of charge exchange by passing energetic positive ion beams through metallic vapours from which electrons are picked up, thus creating a negative ion beam. This process inherently uses neutral metallic vapours in the implanter system, and therefore presents a continual ongoing risk of exposing the silicon wafers to a metallic contaminant.

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Faculty Supervisor:

Tobias Junginger

Student:

Partner:

D-Pace Inc

Discipline:

Physics

Sector:

Manufacturing

University:

University of Victoria

Program:

Accelerate

Faults Detection and Recovery in Automobile Engines Machining and Assembly Systems Using AI and Machine Learning

Ford is applying Industry 4.0 smart manufacturing technologies in its re-tooled and new plants in Canada. This project aims to research, in cooperation with Ford, intelligent methods for recognizing patterns of machines faults and their causes and develop recovery strategies based on artificial intelligence (AI) and Machine Learning (ML) using data analytics, neural networks, and deep learning methods. It will also investigate the contribution of workers-automation interactions to faults occurrence using data, and minimizing, and discovering possible correlations or trends. Manufacturers are keen to improve their competency and upskill/reskill their workforce in digitalization and applications of intelligent technologies to reap the benefits and remain competitive. Nine Highly Qualified Personnel (HQP) will be provided valuable knowledge and experiential learning experiences in a real manufacturing environment. The proposed industry-academia research collaboration is expected to produce intelligent technologies and digital twins (DT) products that could be commercialized and used in Ford factories and many other industries.

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Faculty Supervisor:

Waguih ElMaraghy;Hoda ElMaraghy

Student:

Partner:

Ford Motor Company

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Disinfection efficacy of Far-UVC light in a healthcare facility

UV light is known for its antimicrobial properties. In this project, we expect to use a proprietary lamp which will provide a specific light that will target bacterial, fungal and viral strains commonly found in health care facilities. Results of the project will have a direct impact in the sterilization of areas with a high traffic of health care providers. The company mission is to design, test, and manufacture customizable UVX light. The project is also relevant to COVID-19, as one of the strains used in the panel of pathogens is considered a replacement of the COVID-19 virus.

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Faculty Supervisor:

Horacio Bach

Student:

Partner:

UVX

Discipline:

Life Sciences

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Molecular You – Clinician Review Module UX Design

This project is a collaboration between the Emily Carr Institute of Art and Design and Molecular You. Molecular You are a health-tech start-up on a mission to help everyone live longer healthier lives using a new type of digital health experience that can spot early warning signs of chronic disease and tell you exactly what you can do to stay healthy. We’re currently piloting the product. To be ready to scale we need to redesign our clinician review platform to reduce cognitive load for clinicians and reduce turnaround time while avoiding human error. The project will follow a design thinking process and involve collaboration between designers, software developers, product managers and clinicians.

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Faculty Supervisor:

Jonathan Aitken

Student:

Partner:

Molecular You Corporation

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Emily Carr University of Art + Design

Program:

Business Strategy Internship

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