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

Exploratory Study on the Prevalence of Alexithymia in a Child Welfare Population

words)
Alexithymia is a personality construct that represents a reduced ability to identify and describe feelings, a limited imagination, and externally oriented thinking.not classified as a mental disorder in the DSM-IV. Alexithymia raises special clinical issues: 1) it is known to be a trait and distributed across the general population where prevalence is 8-10% (Karukivi, 2011; Taylor & Bagby, 1988) and 2) it is a dimensional personality trait that varies in severity from one person to another (Parker, Keefer, Taylor, and Bagby, 2008). Since alexithymia in adolescents is likely to predict poorer outcome in several different mental disorders, the possibility of alexithymia in a child welfare population should be explored efficiently (Karukivi, 2011).

View Full Project Description
Faculty Supervisor:

David Haley

Student:

Fataneh Naghavi

Partner:

Children's Aid Society of Toronto

Discipline:

Psychology

Sector:

Medical devices

University:

Program:

Accelerate

Automating Cloud Data Center Operation

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence.
As it is known in mobile industry applications/systems are being virtualized. Therefore some applications will require to run sometime in a central Data center and also closer to the user in order to meet certain characteristics. The last can be refered as an Edge cloud where services will require to be run closer to the users in order to meet certain characteristics. Ericsson develops cloud or Data Centers management products were these services and applications will reside. Therefore the automation of the service management of cloud or Data Center resources is a key.

View Full Project Description
Faculty Supervisor:

Foutse Khomh

Student:

Mbarka Soualhia

Partner:

Ericsson Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Elevate

Privacy Enhanced Decentralized Identity System

Currently, some public and private organizations have implemented various identification verification solutions to manage identity authentication. The idea of using a third-party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have their benefits as they can only be connected once in a federated identity ecosystem.  While the deployed identity brokerage system has provided participants with great utility, it was pointed out that the principles they designed had several security and privacy gaps. The potential weakness of the federated identity access system comes from a central observation point. It is clear that the federal identity ecosystem needs to evolve to meet the challenges described. In our research, the goal of the project is to establish a decentralized system to solve the identified problems.

View Full Project Description
Faculty Supervisor:

Marsha Chechik

Student:

Lijun Pan

Partner:

Secure Key Technologies

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Zero-Emission Public Transit Fleet Systems – Year two

Electrification of transit vehicles is a part of Ontario’s long-term strategy to reduce transportation-related greenhouse gas (GHG) emissions. However, transit agencies and utility/local distribution companies face significant technological and operational hurdles in integrating “off the shelf” electric bus technologies. The postdoctoral fellow collaborating with Canadian Urban Transit Research & Innovation Consortium will work with transit agencies and utilities to overcome the technical challenges associated with a lack of international standardization for overhead charging systems. Also, given the absence of neutral demonstration and trial data regarding vehicle and charging station performance in real world conditions, this project will provide a cost comparative model for the lifecycle degradation of both electric and diesel buses. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Amer Shalaby

Student:

Anahita Asadolahniajami

Partner:

Canadian Urban Transit Research and Innovation Consortium

Discipline:

Engineering - civil

Sector:

Alternative energy

University:

Program:

Elevate

Enhancing Nurses’ Role in Opioid Stewardship – Implications for health policy, practice advocacy) and patient safety – Year two

Multiple national strategies have been developed address the opioid crisis, however, Canada still remains the second largest consumer of prescription opioids. These drugs can have negative effects on consumers because they have addictive properties so therefore consumers may become addicted to these drugs if there are not taken as prescribed. For other drug classes such as antimicrobials, there have been programs developed to improve prescribing and hence patient outcomes. These programs are collectively called antimicrobial stewardship programs and usually promote cooperation between health professionals. However, most programs do not specify how nurses can promote safe prescribing and they usually are under-utilized in these programs, although it has been shown that these programs lead to better patient outcomes e.g. reduced hospital-acquired infections. For opioids, the concept of stewardship is quite ill-defined so not surprisingly nursing roles in opioid stewardship are also under-utilized. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Lianne Jeffs

Student:

Chantelle Bailey

Partner:

Canadian Nurses Association

Discipline:

Nursing

Sector:

Medical devices

University:

Program:

Elevate

Tagging and Auto-Captioning of Histopathology Scans for Diagnosis Assistance

Digital pathology uses modern scanners to capture high-resolution images from biopsy samples. Computer algorithms, especially artificial intelligence, can help in automatic searching for similar cases in the archive of hospitals and laboratories. Displaying similar images form the past patients, that have already been diagnosed and treated, can provide useful information to the pathologist to solidify the final diagnosis. These images, however, are very large such that their processing requires smart algorithm to distinguish between relevant and irrelevant information. In this project, we develop novel methods for identification and auto-captioning of the pathology scans to assist clinicians in their daily work. Tagging technologies using AI will be developed to index and smartly archive the images. This enables fast and accurate search for similar cases. Besides, the identification of already diagnosed cases (which are accompanied by pathology report) enables the algorithm to generate a caption for the new scans. This should help shorten the processing times by drawing attention to the critical cases.

View Full Project Description
Faculty Supervisor:

Hamid Tizhoosh

Student:

Shivam Kalra

Partner:

Huon Digital Pathology

Discipline:

Engineering

Sector:

Medical devices

University:

Program:

Accelerate

Nanostructured cathode material for high performance all-solid-state sodium battery

Lithium batteries are almost universally integrated in modern electronics applications due to their high efficiency and scalability. However, the liquid lithium-ion electrolyte utilized in these batteries has a multitude of safety concerns including flammability, toxicity, and the ability to explode if short-circuited. These issues lead to problems while operating in hazardous environments, more stringent transportation regulations, and pose a threat to the personal safety of consumers. Geometric Energy Corporation is working in conjunction with the Thangadurai Group to address these problems by developing an all-solid-state sodium-ion battery system. This system will be non-flammable, non-explosive, and non-toxic, eliminating these issues that are present in liquid-lithium batteries. Our battery technology will be applicable anywhere a liquid-lithium-ion battery is currently used, including the electric vehicle sector, personal electronics, and grid-scale applications. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Venkataraman Thangadurai

Student:

Sourav Bag

Partner:

Geometric Energy Corporation

Discipline:

Chemistry

Sector:

Alternative energy

University:

Program:

Elevate

Building and supporting healthy educational communities: From kindergarten through university

Health and education have been shown to be interconnected and co-dependent. This research project will connect the work being done on Comprehensive School Health in the K-12 setting with similar work beginning in the post-secondary setting. Ever Active Schools has collaborated with school health teams for over 10 years (Healthy Active School Symposia – HASS). The data they have gathered from students, teachers and administrators will be an invaluable asset to the developmental process of embedding comprehensive school health in the Faculty of Education at the University of Alberta. This project will begin with analysis of the HASS data, then move to apply the results to both the K-12 and post-secondary settings. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Douglas Gleddie

Student:

Mohammed Ahmed

Partner:

Active Healthy Kids Canada

Discipline:

Education

Sector:

Education

University:

Program:

Elevate

Intelligent Product Quality Assessment (IPQA) Toolkit

Manufacturing is a main component driving the successful economy in a society. In order to remain competitive in the global manufacturing market, product quality control is critical. High quality product not only expands the client base, but also enables just-in-time correction to reduce the cost wasted in defective products. The goal of this project is to develop an intelligent defect detection platform, which can be integrated with the existing production pipeline without major alteration or financial investment. The delivered toolkit will be able to provide quality control on multiple products. More importantly, the toolkit is portable, i.e. can be transported to different production locations. Quality inspection can be carried out either locally or remotely over a network interface, i.e., over the Internet. This project will benefit industry and Canada economically and technologically, in addition to the training of highly qualified personnel.

View Full Project Description
Faculty Supervisor:

Irene Cheng

Student:

Zhifan Lan

Partner:

Together Solution Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Low-cost Real-time Multi-constellation GNSS Precise Point Positioning for Intelligent Transportation System (ITS)

Intelligent Transportation System (ITS) enables smart traffic management and provides various innovative services including better safety, more road information, etc., which has drawn a lot of attention. The development of next-generation ITS services and applications must depend on more accurate positioning information at decimeter to even centimeter-level. Such capabilities are crucial because all of the innovative applications are based on the precise positioning of land vehicles. For example, for Vehicle-To-Vehicle (V2V), an automobile technology designed to allow automobiles to communicate with each other to avoid traffic accidents and improve the traffic efficiency. The V2V technology has been extended to V2X to include Vehicle-to-Pedestrian, Vehicle-to-Infrastructure and Vehicle-to-Pedestrian. These innovative technologies and the emerging autonomous cars are becoming significant components of next-generation ITS systems. Without the accurate positioning information as the foundation, the mentioned technologies are impossible to be achieved. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Lina Kattan

Student:

Fei Liu

Partner:

Profound Positioning Inc

Discipline:

Engineering - other

Sector:

Information and communications technologies

University:

Program:

Elevate

Development of a Borehole Muon Detector for Muon Tomography

CRM Geotomography Technologies (CRM) has developed detectors that are able to measure cosmic ray muon particles underground. By measuring the rate at which these particles pass through the detectors, it is possible to reconstruct a three-dimensional map of the density of the earth’s subsurface above the detectors. This technique is called muon tomography. CRM’s detectors have been successfully used to search for ore bodies in and nearby existing mines. However, to leverage this technology more effectively in the oil and gas industry, and in searching for potential mining sites, the shape and size of the detectors needs to accommodate the dimensions of typical boreholes. The objective of this project is to develop a portable detector that can be easily deployed inside industry standard boreholes. The successful completion of this project will allow CRM to engage new clients in resource exploration as well as in underground monitoring applications. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Bernd Stelzer

Student:

Jacobus van Nieuwkoop

Partner:

CRM Geotomography Technologies Inc

Discipline:

Physics / Astronomy

Sector:

University:

Program:

Elevate

Activity-based screening of DNA-Encoded libraries

Cell surface receptors are targets of ~50% of pharmaceutical and biological drugs. Still many of such receptors have no known therapeutic inhibitors because 1) the receptors are only active in cells 2) isolation and purification of the receptor is not viable and 3) determining activity of a potential therapeutic is complicated by binding that can lead to a productive (antagonism/agonism) or an unproductive response. To address these challenges, we will employ DNA-encoded libraries of diverse molecules to develop a method which 1) permits selection of binders to desired receptor on a cell and 2) gives rise to the desired physiological response in a cell line as determined by a down-stream reporter system. Such an activity-based screening method will have wide application in isolating ligands that will have biological as well as therapeutic activities. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Matthew Macauley

Student:

Tenzin Gocha

Partner:

48Hour Discovery

Discipline:

Chemistry

Sector:

Life sciences

University:

Program:

Elevate

Previous
1…787788789790791792793…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe