Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Upgrading of heavy and high-contaminant Hydrofaction™ Renewable Crude Oil, to transport fuel blendstock

The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction™ Oil to blendstocks for transport fuels. The main challenge in upgrading Hydrofaction™ renewable crude Oil from such sources is not only the oxygen content of the oil but also the high viscosity, sulfur, and inorganic contaminants. Hydrotreating is the pathway of choice for removing this oxygen and contaminants through hydrodeoxygenation (HDO), decarboxylation and hydrodenitrogenation (HDN) reactions. TO BE CONT’D

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Faculty Supervisor:

William McCaffrey

Student:

Partner:

Steeper Energy Canada Limited

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Plankton food web pathways to juvenile salmon

Plankton food-webs are the primary support system for juvenile salmon, necessary for their growth, health, and ultimately survival at sea. Understanding how and why plankton food-webs respond to changing ocean conditions is one of the major goals of the Pacific Salmon Foundation, with the view to understanding fluctuations and declining trends of salmon stocks in the Salish Sea. This project will determine the linkages between organisms in the plankton food-web of the Salish Sea, and how these linkages impact the amount and quality of plankton prey available to juvenile salmon, and contribute to tools for predicting the plankton food-web response to changing climate and ocean conditions.

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Faculty Supervisor:

Brian Hunt

Student:

Partner:

Pacific Salmon Foundation

Discipline:

Life Sciences

Sector:

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

University:

The University of British Columbia

Program:

Accelerate

Detailed Analysis of the forces acting on a high-speed full-scale elevator

The industry partner of this project has an elevator modernization project that includes increasing the current speeds of their elevators by more than 30%. However, increase in speed is usually associated with increase in aerodynamic and lateral forces on the elevator cars, which can negatively affect ride quality and noise levels. The objective of this study is to examine the forces involved, and determine if the speed increases are within the Elevator Modernization Specification provided by industry experts. The study will employ powerful computer software to analyze the airflow inside two-car and three-car elevator shafts, focusing on the forced-air flow in the shafts caused by the cars, as well as aerodynamic effects caused by cars traveling in opposite directions passing each other.

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Faculty Supervisor:

Martin Agelin-Chaab

Student:

Partner:

Schindler Elevator Corporation

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Ontario Institute of Technology

Program:

Accelerate

A Pilot Clinical Study of Treating Pressure Ulcers in patients with Spinal Cord Injury

Pressure ulcers are among the top five leading causes of re-hospitalization in patients with spinal cord injuries (SCI). Unfortunately, current conventional prevention and treatment methods have neither decreased the prevalence of these ulcers nor significantly improved their outcomes. To address this difficulty, here, we will test the efficacy of our new liquid skin substitute to fill up the non-healing wounds where the skin solidified and promotes the healing process. Our plan in a pilot study is to treat 12 patients who pressure non-healing wounds did not heal in the previous 3 months. Liquid skin will be applied layer by layer every 24 hours until the wound bed is filled up and dressed according to the UBC wound clinic instructions. Wounds will be monitored daily and healing outcome will be compared with that of untreated wounds for the previous 3 months.

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Faculty Supervisor:

Aziz Ghahary

Student:

Partner:

Rick Hansen Institute

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Other services (except public administration); Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of the major telecommunication network operators. In the proposed project, through the exploration of concrete telecommunication industry use cases, the postdoctoral researcher will collaborate with the Ericsson researchers in Canada and the academic supervisor to evolve the start-of-the-art in machine learning and artificial intelligence for the analysis of telecommunication data and operation of telecommunication networks. This will allow Ericsson to develop new products and services, which will allow Canadian network operators to offer improved communication services to Canadian customers. TO BE CONT’D

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Faculty Supervisor:

Mark Coates

Student:

Partner:

Ericsson Canada Inc (Montreal, QC)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Elevate

Understanding and improving techniques to teach financial literacy in children

Youths spend over $141 billion annually. Yet, these same youth often demonstrate extremely poor understanding of healthy financial habits such as emergency funds and budgeting. The proposed project seeks to tackle two main questions through the Dojo financial literacy learning application. First, what principles/techniques have been shown to positively impact financial literacy (e.g., interactive games, infographics, etc)? Second, is the Dojo platform an effective tool for teaching children about financial literacy? These questions will be answered through survey research of application beta testers as well as actual application engagement and usage data analysis. This research proposed here seeks to fill a gap in the literature showing that the best financial literacy information often comes from the most ineffective source; thus, how effective is a standardized educational platform that is both administered by, and simultaneously guides, parents?

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Faculty Supervisor:

Lara B Aknin

Student:

Partner:

Dojo Technology Corp

Discipline:

Sociology

Sector:

Education

University:

Simon Fraser University

Program:

Accelerate

Qualitative Data Collection for Development of an Electronic Application to Promote Home-Based Self-Care in Older Heart Failure Patients: Patient and Informal Caregiver Perspectives

Heart failure (HF) is one of the leading causes of hospitalization and rehospitalization in older adults, yet the majority of HF-related readmissions are preventable if patients can manage their treatment at home. One method to help patients who require extra assistance in following their treatment is through mHealth applications. However, these applications are not usable for many older patients due to their complicated design. Within this study, we will have HF patients and their caregivers evaluate our current HF-app to determine if it helps tackle the challenges they face with their treatment. We will use this feedback to help design a more simple, user-oriented application with our partner Pulse Infoframe. The development of this application will be used as an additional tool for Pulse Infoframe’s current patient portals and patient-reported outcome framework. Furthermore, this user-centered HF-app will serve a greater purpose by helping patients better manage their care at home.

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Faculty Supervisor:

Catherine Demers

Student:

Partner:

Pulse InfoFrame Inc

Discipline:

Life Sciences

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Privacy Preserving Federated Learning – Year two

By virtualizing all the various appliances in the network, Network Function Virtualization (NFV) became a key enabler for the coming 5G infrastructure and nowadays a major shift is under way bringing an evolution to cloud-native NFV. In the latter operational model, applications are decomposed into microservices running inside containers to enable automated installation, configuration and scaling with the dynamic network requirements beside self-healing and automated upgrading and updating of the VNFs. Pre-provisioned rules are expected to become less important over time as Artificial Intelligence (AI) enable smarter interpretation of data and hence better reaction accordingly for efficient management of VNFs.
Centralized AI is by far the most common architecture for such analysis. However, such application has significant drawbacks ranging from high transfer cost, latency and hence slow inference to even more critical situations of diminished privacy. TO BE CONT’D

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Faculty Supervisor:

Chamseddine Talhi

Student:

Partner:

Ericsson Canada Inc (Montreal, QC)

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Elevate

Application of deep learning in perception and navigation of mobile robotics

Mobile robotics are playing an increasing important role in many areas such as delivery, house cleaning, homecare, etc. How to increase the capability of robotics in perception and navigation is an on-going problem for decades. Due to the dynamic and uncertain chrematistics of the environment, it is still challenging for real application. In recent years, deep-learning has significantly changed the world in many sectors. It greatly enhanced the development of visual perception, object detection, speech recognition, natural language processing, etc. It provides an end to end learning structure that captures representations from big training data. In this project, deep learning techniques will be investigated and used to improve the current approaches for visual perception, path and motion planning of robotics to achieve satisfactory performance for real application.

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Faculty Supervisor:

Clarence W de Silva

Student:

Partner:

Vestorch Technology Ltd

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Sparse Multivariate Polynomial Factorization

Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the speed of polynomial factorization so that larger polynomials can be factored and factored quickly, for example, in minutes instead of
days. The project proposes to integrate the new algorithms into the Maple software package so that this capability may be easily accessed by Maple users.

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Faculty Supervisor:

Michael Monagan

Student:

Partner:

Maplesoft

Discipline:

Mathematics

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Faecal sludge desiccation rates for optimal design of passive ventilation sanitation systems

VIP latrines and the Aerosan emergency toilet demonstrate tremendous potential for achieving in situ faecal sludge treatment objectives in volume reduction, odour control, etc. In order to determine the potential to scale, lab-based studies and field validation are required to optimize the design. This project seeks to optimize faecal sludge desiccation by simple enhanced passive ventilation to reduce the waste to be taken off site by 75% in volume. By reducing the desludging frequency this project would substantially reduce the costs of desludging an quantities of faecal sludge that requires handling. Thereby, this project would be addresssing knowledge gap with regard to faecal sludge a volume reduction in emergency settings with benefits for latrine users in urban, peri-urban areas, and refugee/IDP camp contexts.

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Faculty Supervisor:

Caetano Dorea

Student:

Partner:

Aerosan

Discipline:

Engineering

Sector:

Manufacturing; Other services (except public administration)

University:

University of Victoria

Program:

Accelerate

Upgrading of heavy and high-contaminant Hydrofaction™ Oil, to fuels blendstock with the use of Catalytic Steam Cracking

The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction™ Oil to blendstocks for transport fuels. The main challenge in upgrading Hydrofaction™ renewable crude Oil from such sources is not only the oxygen content of the oil but also the high viscosity, sulfur, and inorganic contaminants. Catalytic Steam Cracking is the pathway of choice in this Project for removing this oxygen and contaminants. The upgraded oil should achieve low Total Acid Number (TAN), low oxygen, low nitrogen, low minerals content and an improved distillation profile. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Pedro Pereira-Almao

Student:

Partner:

Steeper Energy Canada Limited

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

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