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

Cytology-based DNA measurement for oral cancer screening

Oral cancer (OC) presents a global burden on society and the healthcare system with high incidence rates and poor prognosis. Despite the oral cavity being easily accessible for visual assessment, lesions are often detected at an advanced stage when the prognosis is poor and radical interventions are necessary. An invasive biopsy of a clinically suspicious lesion is the current standard of care for OC diagnosis and lesion monitoring; however, repeated biopsies may not be feasible. This study aims to provide a non-invasive, objective, and accurate OC diagnostic test using high throughput DNA-based cytometry. This test combines artificial intelligence software with a commercially available and affordable slide scanner. Potentially, this new technique can be used in remote communities with limited access to care and provides a significant benefit in early detection of at-risk oral lesions and reduction in OC burdens.

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Faculty Supervisor:

Catherine Poh;Martial Guillaud

Student:

James Jeon

Partner:

Quisitum Automated Services Incorporation

Discipline:

Dentistry

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Evaluation of PLO Micelles for Transdermal Peptide Delivery to Superficial Bone

This research aims to develop and test a transdermal delivery system for small bone healing peptide hormones. Peptides and many drug molecules do not usually penetrate the outer skin barrier, the stratum corneum, in order to treat the underlying body tissues. However, by using liposomal gel as a drug delivery medium, it is often possible to impart the transdermal delivery of several analgesic drugs, lipophilic hormones and even small peptides by using augmentative technologies. The Mitacs intern will be partnered with Edmonton-based Maxima Pharmaceuticals Inc, one of the primary local manufacturers of liposomal PLO gel cream base. That gel is used by compounding pharmacies across Canada to emulsify a variety of analgesic and therapeutic drugs. The intern will learn how to modify and tune phospholipid content and conduct experiments aimed at selective peptide transdermal delivery, notably to superficial shin bone surfaces beneath the skin.

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Faculty Supervisor:

Michael Doschak

Student:

Shadab Alam

Partner:

MAXIMA Pharmaceuticals Inc.

Discipline:

Pharmacy / Pharmacology

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Measurement of Tailings Particles Transport Driven by Wind Erosion at Porcupine Tailings Storage Facility

This project is designed to characterize the effect of flocculant addition to mine tailings for the reduction of mine dust dispersion. Mine dust prevention is of importance for mine management as well as to reduce the possible dispersion of dust to nearby urban centers like Timmins and Porcupine Lake. To assess the effect of flocculation, we will use collected micrometeorological data as well as tailings material characterization to parameterize wind erosion and dispersion models. The project results will help provide recommendations towards the development of a dust emission management plan.

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Faculty Supervisor:

Ward Wilson

Student:

Saulo Castro

Partner:

Newmont Goldcorp

Discipline:

Engineering - civil

Sector:

Other

University:

University of Alberta

Program:

Towards development of a biodegradable polymer for use in single-use surgical gloves

The proposed university-industry research aims to develop a biodegradable polymer with a target application in personal protective equipment (PPE), aligned with the ongoing global research efforts towards Next Generation Plastics (NGPs). The new NGP is expected to fully degrade within 2-5 years when disposed in soil and exposed to a combination of water, UV and thermal-based biodegradation mechanisms. If proven feasible through the proposed lab-scale tests, followed by upscaling by the industry partner, the new product will address Canada’s recommended zero-plastic waste strategy by avoiding the use of non-recyclable plastic products and adapting circular economy approaches in engineering productions.

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Faculty Supervisor:

Abbas Sadeghzadeh Milani;Cigdem Eskicioglu

Student:

Ibrahim Alper Basar

Partner:

FEED Engineering

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of British Columbia Okanagan

Program:

Accelerate

Design of real-time a localization algorithm for high-flow environments on embedded processor

The deployment of tidal turbine equipment in the Bay of Fundy can potentially impact marine life in the environment. There is a large population of harbour porpoises that can be affected by this equipment, and it is important to detect their presence and locate them. In this work, a tool to visualize harbour porpoises in real-time will be developed so that it can be readily available to visitors at the Fundy Ocean Research Center for Energy Visitor Center in Parsborro. For this purpose, a signal processing tool will be developed on a high-speed processor.

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Faculty Supervisor:

Jean-Francois Bousquet

Student:

Ehsan Malekshahi

Partner:

Fundy Ocean Research Center for Energy

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Freight consolidation and container loading optimization

This project investigates a complex freight consolidation and loading problem faced by Frontline Carrier Systems Inc., a leading transportation and supply chain provider in North America. Frontline seeks to optimize their transportation costs by minimizing the number of trucks required to ship a set of customer orders within a finite planning horizon. The problem integrates freight consolidation decisions to assign skids to trucks, scheduling decisions to determine the departure time of truckloads, and three-dimensional (3D) loading decisions to determine how these skids should be placed inside each truck. Skids weight, volume and lead time constraints are considered to ensure feasibility and effective truck capacity utilization. The main objective is to develop algorithms based on the latest advances in artificial intelligence and analytics – including optimization, probability and statistics. These algorithms will be at the core of an advanced planning system capable of quickly generating feasible shipping plans and 3D animations of the truck loading patterns.

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Faculty Supervisor:

Ivan Contreras

Student:

Aditya Malik

Partner:

Frontline Carrier Systems Inc

Discipline:

Other

Sector:

Transportation and warehousing

University:

Concordia University

Program:

Accelerate

Improving the collection performance and reducing the complexity of cyclone systems using a rotary classifier in a dynamic cyclone particle separator

Global pollution emissions contribute to climate change and are damaging to health. In many industrial applications that produce particulate matter, devices such as cyclones are used to separate and capture the particles from the exhaust gas. However, these do not capture the very small, but hazardous, particles and so expensive and energy-intensive secondary systems have to be added to the process. The industrial partner is developing a novel dynamic cyclone separator that has rotating vanes which improve the particle separation efficiency and allow capture of the fine particles. This project will develop a computer model of the flow and particle motions in the cyclone that can then be used to design these dynamic cyclones for different industrial applications and operating conditions, thus leading to a more efficient reduction of particulate pollution.

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Faculty Supervisor:

Eric Savory;Anthony G Straatman

Student:

Mark Parker

Partner:

DBM

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Development of a noncontact PPG (ncPPG) system for oxygen saturation clinical analysis to increase the data reliability of SpO2 detection through consumer-level cameras

Sterasure Inc. in its current mission to provide biomedical tools to reinvent the clinical decision support, partners with the University of Waterloo to work towards the development of cutting-edge contactless vital sign monitoring systems. The technology studied in this research will allow the advance in the detection of oxygen saturation levels through cost-efficient systems. Although existing non-contact low-cost vital sign detection sensors offer great advantages for clinical environments, there is lack of studies showing medical reliability. Sterasure and the academic partner will prototype and design a reliable SpO2 contactless sensor which will be integrated in Sterasure’s biomedical device for future clinical studies.

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Faculty Supervisor:

George Shaker

Student:

Andrei Perez

Partner:

Sterasure Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Development and Validation of a Needle Decompression Simulator to Support the Acquisition and Maintenance of Advanced Care Paramedics Skills

Paramedics perform a range of services in pre-hospital patient care, often being the first responders for the most critically ill patients. As such, it is crucial for them to learn and retain life-saving clinical procedures throughout their career. Simulation has been designed to provide a way to paramedic training. This project focuses on the development of a 3D printed simulator for training and re-training of the needle decompression procedure, a life saving yet rarely performed procedure. Once developed, we will test whether the 3D printed simulator leads to improved performance in paramedics relative to standard training. We anticipate that this project will result in a novel, effective and low-cost training solution for paramedics.

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Faculty Supervisor:

Adam Dubrowski

Student:

Artur Arutiunian

Partner:

Central East Prehospital Care Program

Discipline:

Other

Sector:

Health care and social assistance

University:

Ontario Tech University

Program:

Accelerate

Discover anomaly signatures from time series data of telecommunication networks

Failures in a telecommunication network harm the communication quality. Once happened, if the system cannot solve it by self-healing, such anomaly may even result in serious problem and result in massive economic loss. In this project, we will design and develop a system to predict these failures in advance using the status values of the hardware facilities. Our goal is to build a completed data processing, model building and training system to predict facility failures automatically for production-level deployment with strict evaluation criteria (precision > 80%, which means for all the positive prediction our model gives, at least 80% of them is correct; recall > 10%, which means for all real failures in the network, our model could predict at least 10% of them). The success of this project will expand Ciena’s capability to develop superior products for anomaly prediction services.

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Faculty Supervisor:

Yan Liu

Student:

Wenjie Du

Partner:

Ciena Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and cultural industries

University:

Concordia University

Program:

Accelerate

Développement d’un algorithme de reconnaissance d’images de papillons tropicaux

Le nombre d’espèces qui nous entourent est si important qu’il peut être ardu, même pour les spécialistes, de toutes les identifier. Cela est particulièrement vrai pour les insectes. De plus, avec l’avènement des technologies mobiles de l’information, la quantité et la qualité des images disponibles n’a jamais été aussi importante. Grâce aux appareils photos numérique et aux téléphones intelligents, virtuellement n’importe qui peut générer des données d’observations qui peuvent être utilisées pour le suivi de la biodiversité. L’intelligence artificielle s’impose comme une solution pour traiter toutes ces informations et faciliter l’identification des espèces sur les photos, pour les experts comme pour le public en général. Ce projet vise à développer un outil permettant d’identifier automatiquement des papillons à partir d’images de spécimens vivant prises avec une application mobile dans un musée. Grâce à cet outil, les visiteurs seront en mesure de trouver plus facilement de l’information sur les papillons qu’ils observent tout en réalisant qu’ils peuvent eux-mêmes contribuer à document la biodiversité après leur visite au musée.

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Faculty Supervisor:

Yoshua Bengio;Michael Brudno

Student:

Marta Skreta

Partner:

Institut de recherche en biologie végétale

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Characterization of Parasitic Lead Inductances of E-mode pGaN HEMTs to Debug the Early Drain Breakdown Problem

In the field of power electronics, it is vitally important to fabricate transistors that can work under high-voltage regimes, that are more energy-efficient. Our sponsor Crosslight has a customer, GaNPower, which is a Canadian company that designs and makes GaN transistors for this purpose. However, the transistors break down more easily when used on circuit boards after packaging. Crosslight is responsible to debug this problem. In this project, we will work with Crosslight build a test board and its circuit model to test its first hypothesis of the problem.

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Faculty Supervisor:

Guangrui Xia

Student:

Zeyu Wan

Partner:

Crosslight Software

Discipline:

Engineering

Sector:

University:

University of British Columbia

Program:

Accelerate

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