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

Movement patterns of migratory tree-roosting bats during autumn migration in southern Saskatchewan

Three of Saskatchewan’s bat species roost in trees and migrate long distances annually: hoary bats, eastern red bats and silver-haired bats. Migratory bats are facing a variety of threats, such as habitat loss, climate change, pesticide use, and fatalities at wind energy facilities. Large numbers of bat fatalities have been recorded at wind energy facilities across North America. If current fatality rates continue, the population of hoary bats, the species most commonly killed by wind turbines, could decrease by up to 90% in the next 50 years. If we can identify areas or landscape features associated with bat migration, this information can be used by SaskPower and other stakeholders to inform wind power siting decisions for future wind energy projects.

View Full Project Description
Faculty Supervisor:

Erin Baerwald

Student:

Erin Swerdfeger

Partner:

SaskPower

Discipline:

Biology

Sector:

Environmental industry

University:

Program:

Accelerate

Testing nutrient profiling tools and portion size based initiatives (education, regulation and reformulation) for public health policy in Canada – Year two

Poor diet is one of the factors associated with obesity and overweight, which may increase the risk for chronic diseases such as diabetes, heart disease and cancer. Two ways to improve the diets at the population level are to 1) establish public health initiatives (e.g. product labelling or advertising restrictions and 2) change the portion sizes available to the consumer.
Nutrient profiling (NP) models can establish the ‘healthiness’ of foods by ranking them according to their nutrient content and can be used to establish public health initiatives, such as helping consumers in food-selection decisions at the supermarket (e.g. labelling), setting standards for food in schools or cafeterias and provide an incentive for manufacturers to produce products lower in salt or sugar. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Mary L'Abbe

Student:

Mavra Ahmed

Partner:

Nestle Canada Inc

Discipline:

Food science

Sector:

Management of companies and enterprises

University:

Program:

Elevate

Study of Corner Brook Pulp and Paper Limited (CBPPL) byproducts and potential uses for food production

Overall this study aims to determine feasibility, parameters, and processes related to improved utilization of selected byproducts resulting from Corner Brook Pulp and Paper Limited (CBPPL) operations. The proposed activities and ideas relate to monitoring and understanding the nature of the composition of the mill’s production of wood ash over time, determining the suitability, feasibility of improving mill competitiveness through alternate/improved processing of ash, sludge and waste heat. The combined possibility of more environmentally sustainable processing, potential reduction of current expenses, and potential creation of new revenue streams all provide opportunities to increase competitiveness for members of the industry.

View Full Project Description
Faculty Supervisor:

Mumtaz Cheema

Student:

Allison Groenen

Partner:

Corner Brook Pulp and Paper Limited

Discipline:

Environmental sciences

Sector:

Forestry

University:

Program:

Accelerate

Development of a new conductive carbon ink for printed sensors for smart diapers

Urinary incontinence has been always a tedious and a distressing health problem, especially for elderly people in nursing home residents. To address this issue, an effective management system is highly required to enhance the quality care, prevent health issues, and reduce labor costs. This project is focusing to develop a flexible and wearable sensor based on carbon nanomaterials. The final product, in addition to the sensor, consists Wi-FI module and app. While the wetness activity will be transmitted through the Wi-Fi to a smart device, the app performs analysis and alert in real-time the care providers. The module will be designed carefully to detect the exact location of the wetness in the diaper, and quantify the amount of urine for medical purpose from one side and avoid triggering the alarm from the other side when the volume is negligible.

View Full Project Description
Faculty Supervisor:

Ricardo Izquierdo

Student:

Ahmad Al Shboul

Partner:

Seneca Sense Technologies Inc

Discipline:

Engineering - computer / electrical

Sector:

Nanotechnologies

University:

Program:

Accelerate

GIF Tools II – Advanced GeoPhysical Inversion II (Year Two)

Over the past 25 years researchers at the UBC Geophysical Inversion Facility (GIF) have generated forward modelling and inversion codes that deal with most types of data of interest to a consortium of mining companies. This proposal moves the research to applications in their corporate environments, and to advance the tools and understanding about how to use the research to date in an efficient manner to extract maximum information from their geophysical data. GIFtools, the computing software for carrying out advanced inversion, was developed for this purpose. This proposal will: (i) undertake further research and development of GIFtools as a computing environment to carry out advanced forward modelling and inversion of geophysical data; and further research and development of methodologies and inversion techniques to interpret magnetic data contaminated with remanence.

View Full Project Description
Faculty Supervisor:

Douglas Oldenburg

Student:

Seogi Kang

Partner:

Rio Tinto Alcan

Discipline:

Geography / Geology / Earth science

Sector:

University:

Program:

Accelerate

A New High-Speed Warehousing Cable Robot: Prototyping, Evaluation and Commercialization

As consumer preferences shift from shopping at brick and mortar stores to on-line shopping, there is an increased need for warehouses to use automated systems that fill orders quickly and accurately. This research project will design a warehouse robot that is adaptable to different platform systems and shelving configurations, providing a lighter, faster, and more cost-effective warehousing system. Key competitive advantages to our partner, Dematic, include (1) orders filled 30% faster than current systems, (2) the flexibility to adjust the robot for different weight/capacity requirements, (3) a smaller footprint with higher storage density, and (4) lower capital, running and maintenance costs.

View Full Project Description
Faculty Supervisor:

Amir Khajepour

Student:

Laaleh Durali

Partner:

Dematic Canada

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Ahead of Time Compiled Code Generation

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and language runtime environments. OMR has enough flexibility to accommodate a wide range of programming languages without sacrificing performance, portability, or robustness. This project adds support for generic ahead of time (AOT) code generation to OMR. AOT offers a number of benefits to the end user, among them faster start-up times and a substantial reduction in demand for resources at run time. All developed software will be open source and thus not only of benefit to IBM but the community at large.

View Full Project Description
Faculty Supervisor:

Gerhard Dueck

Student:

Petar Jelenkovi?

Partner:

IBM Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Indigenous engagement in wildfire management within Canada and New Zealand

The following research will explore how Indigenous peoples’ within Canada and New Zealand are engaged in the management of wildfire. Interviews will be conducted with senior government officials and senior Indigenous leaders during individual case study’s with Nova Scotia, Ontario, Saskatchewan, British Columbia and Northwest Territories in Canada and within the country of New Zealand to understand how Indigenous people are currently involved in managing fire, development of fire suppression strategies, decision-making, and guiding directives used by the government in the service delivery of wildfire management with Indigenous people and communities. This research will identify barriers impacting the relationship between government and Indigenous leaders and suggested recommendations to improve efficiencies to meet the growing pressures of wildfire on the landscape.

View Full Project Description
Faculty Supervisor:

Tara McGee

Student:

Courtney Askin

Partner:

Canadian Interagency Forest Fire Centre

Discipline:

Geography / Geology / Earth science

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Investigating Driving Condition Impact on Millimeter-wave (77GHz) Automotive Radar for Autonomous Vehicles

To enable the development of self-driving vehicles, an accurate characterization of automotive radar modules under various road or weather conditions is required to ensure reliability is maintained under all circumstances. With this fundamental building-block established, ACAMP will be able to support Canadian technology companies in the development of autonomous vehicles. This project will also provide the intern an opportunity to gain knowledge and practical experience in the field of millimeter-wave radar and the opportunity to network with the growing autonomous vehicle industry through ACAMP’s clients. The project involves reliability tests under different weather conditions such as extreme high and low temperatures, varying humidity levels, rainfall, and snowfall.

View Full Project Description
Faculty Supervisor:

Mojgan Daneshmand

Student:

Navid Hosseini

Partner:

Alberta Centre for Advanced MNT Products

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Digital speech analysis: prediction and differential diagnosis of PTSD symptoms and severity

Occupational stress conveys risk of Posttraumatic Stress Disorder (PTSD). In PTSD, early diagnosis and early treatment interventions are advantageous for positive outcomes.
We will develop novel technology for early diagnosis of and prediction of vulnerability to PTSD in military and first responder personnel.
Based on our existing collaboration on identification of symptoms and prediction of severity of mental illness, with IBM Alberta CAS and IBM TJ Watson Research in New York, we will develop digital analysis for diagnosing PTSD from speech, with subjects from AHS Operational Stress Injury Clinics in the Edmonton Zone.
Published evidence and preliminary results from the IBM TJ Watson group have demonstrated the potential success of this approach. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Russell Greiner

Student:

Muhammad Yousefnezhad

Partner:

IBM Canada

Discipline:

Computer science

Sector:

Medical devices

University:

Program:

Accelerate

Volumetric Collision Course Modelling for Road Safety Analysis

Proactive road safety analysis allows for the pre-emptive diagnosis of road safety issues without direct observation of traffic accidents by observing traffic-conflict-like events, and this is made possible with large quantities of high-resolution road user trajectory data acquired from video data. However, several practical challenges exist in relation to the nature of this data for use in large-scale automated road safety analyses applications of this nature. Two small, but key, issues with deployment of such a system related to road user size are identified, studied, and addressed, namely: volumetric-based collision prediction modeling, and unsupervised camera calibration from estimated road user classification size and movement.

View Full Project Description
Faculty Supervisor:

Liping Fu

Student:

Paul St-Aubin

Partner:

Brisk Synergies Tech Corp.

Discipline:

Engineering - civil

Sector:

Automotive and transportation

University:

Program:

Accelerate

Generalization in Deep Learning

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One foundational aspect of deep learning that has garnered great intrigue in recent years is the generalization behavior of neural networks, that is, the ability of a neural network to perform on unseen data. Furthermore, understanding better this generalization behavior has significant practical importance as it can provide guidance and intuition on how to design more effective and powerful deep learning algorithms in the future. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Sanja Fidler

Student:

Mufan Li

Partner:

Borealis AI

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Previous
1…807808809810811812813…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe