Innovations 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

Developing high-capacity composite adsorbents for gold mill processes

Gold is the most economically important mined mineral in Canada, with a production value of $8.7 billion in 2017. Quebec and Ontario together accounted for more than 75% of the mined gold production in Canada in 2017. Economic, efficient, yet safe and environmentally responsible gold extraction is vital to Canada’s dynamic economy and environment, as well as the global competitiveness of Canada’s gold mining industries. This MITACS Accelerate project is aimed at developing high-capacity adsorbent technologies for applications in gold mill processes at Newmont Goldcorp, which are expected to improve process efficiency, economics, and environmental responsiveness.

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Faculty Supervisor:

Zhibin Ye;Denis Rodrigue

Student:

Mahsa Ebrahimi

Partner:

Newmont Goldcorp

Discipline:

Engineering - chemical / biological

Sector:

University:

Program:

Accelerate

A pilot study to examine the effect of pea protein on limiting the loss of muscle mass during weight loss

Roquette, the fifth largest global producer of food ingredients, is building the world’s largest pea processing plant in Manitoba. Pea protein is a plant-based alternative to animal protein, which is used for many applications, particularly for improving health by replacing fats and sugars. The objective of this clinical study is to determine whether pea protein is equivalent or better than whey protein for retaining muscle in persons on a weight loss regimen. A total of 60 obese men and women will be placed on reduced calorie diets that contain either whey protein or pea protein or maltodextrin, a non-protein comparator. The participants will be monitored for changes in weight, muscle mass, fat mass and energy expenditure over a 12 week period. If the pea protein performs well, Roquette will be able to use this information as a new strategy for marketing its pea protein ingredient beyond its current applications.

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Faculty Supervisor:

Peter Zahradka

Student:

Jaime Lynn Clark

Partner:

Roquette Canada

Discipline:

Medicine

Sector:

Agriculture

University:

University of Manitoba

Program:

The development and feasibility/acceptability testing of an online mind-body wellness program for primary biliary cirrhosis

Persons with primary biliary cholangitis (PBC) have high rates of liver disease-related symptoms and poor health-related quality of life – amongst the lowest of all chronic liver diseases. Patients and the Canadian PBC Society have identified the need for self-care tools to manage symptom burden. Building upon a previously developed online wellness program for inflammatory bowel diseases (IBD), Makayla Watt’s project entails: Aim 1 developing a PBC-specific 10-week online mind-body wellness program incorporating pre-developed programming from the Canadian PBC Society, the IBD program, and additional evidence-based relaxation elements; and, Aim 2 the assessment of the online program’s viability and patient acceptance using a mixed methods feasibility study in 20-30 patients with PBC.

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Faculty Supervisor:

Puneeta Tandon

Student:

Makayla Watt

Partner:

Canadian PBC Society

Discipline:

Medicine

Sector:

Health care and social assistance

University:

University of Alberta

Program:

Accelerate

Numerical investigation of the seismic performance of various types of bridge configuration using advanced analysis tools

Bridge infrastructure constitutes a substantial portion of national wealth of Canada, whose performance during earthquake events has a significant impact on the public safety. This study focuses on investigating the force-based and performance-based seismic design of bridges specified in the latest versions of Canadian Highway Bridge Design Code 2014/2019. Numerical studies will be conducted, and design guidelines will be recommended. The project will provide valuable insight into performance-based seismic design of bridges, which is helpful for its mass scale application in Canada. Spannovation Consulting Limited. is a new and forward-thinking organization started by principals with a combined experience of more than 40 years. In particular, Saqib Khan has over 20 years of seismic analysis and design experience and is also a member of the CAN/CSA-S6-19 subcommittee for Chapter 4 – Seismic Design. The principles are setting up a uniquely integrated practice comprising research and development, teaching bridge engineering, and consulting. This collaboration will help Spannovation solve some of the industry’s leading challenges in the seismic analysis and performance demonstration of bridges thereby helping the firm become a major player in the bridge research and development and consultancy arenas.

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Faculty Supervisor:

Shahria Alam

Student:

Maher AL-Hawarneh

Partner:

Spannovation Consulting Limited

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of British Columbia

Program:

Accelerate

Graph-based learning and inference: models and algorithms

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks) and Statistical Learning (through statistical relational learning methods). By combining the advantages of both approaches, we aim to obtain better prediction results for an array of problems such as classification and link prediction in relational data.

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Faculty Supervisor:

Louigi Addario-Berry

Student:

Benoît Corsini

Partner:

Element AI

Discipline:

Statistics / Actuarial sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Automatic Adjustment of Photometric Camera Parameters to Improve Visual Motion Estimation

Cameras are a fundamental component of modern robotic systems. As robots have become relied upon for safety-critical tasks, the need for robust sensing is apparent. Cameras have a major limitation, compared to other sensors such as LIDAR, in high-dynamic-range environments where lighting conditions rapidly change. These changes can cause visual navigation algorithms to struggle and, in some cases, fail in instances where images become severely under- or overexposed. The aim of this research is to improve the performance of visual motion estimation algorithms in challenging environments through the adjustment of onboard camera parameters. An estimator will be developed that will adjust onboard camera parameters in an on-the-fly fashion to optimize for an image metric tied directly into the performance of the VO pipeline. The performance of this estimator will be compared to standard auto-tuning algorithms employed by off-the-shelf machine vision cameras as well as previous approaches that employ heuristic image metrics.

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Faculty Supervisor:

Jonathan Kelly

Student:

Justin Tomasi

Partner:

Thales Canada Inc.

Discipline:

Aerospace studies

Sector:

University:

University of Toronto

Program:

Accelerate

Development and use of ezrin biosensors for high-throughput screening of novel ezrin inhibitors as anti-metastatic and immune-checkpoint blockade agents

Treatment of metastatic breast cancer is often unsuccessful and lead to 5000 deaths in Canada each year. Therefore, there is an unmet need for new drugs for prevention and/or treatment of metastatic disease. Ezrin is a protein marker commonly over-expressed in metastatic breast cancer. Preclinical studies show that blocking ezrin can significantly reduce metastasis in breast cancer models. In this proposal, the intern will develop novel biosensors to screen large numbers of compounds to find those with the ability to block ezrin’s activity in cancer cells. The results of this project can be used to develop novel therapeutics to minimize metastasis in breast cancer. Additionally, the path to develop new drugs can be expedited to clinical trials through our industry partner, Tika Therapeutics.

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Faculty Supervisor:

Peter Greer

Student:

Victoria Hoskin

Partner:

Tika Therapeutics Inc

Discipline:

Biochemistry / Molecular biology

Sector:

Manufacturing

University:

Queen's University

Program:

Deep Learning Technologies for Acoustic Echo Cancellation in Dynamic Environments

In a full-duplex hands-free voice communication system, a speaker located in a room at one end of the link may receive an echo of his/her voice due to the acoustic coupling between the loudspeaker and the microphone at the other end of the link. The goal of acoustic echo cancellation (AEC) is to remove such undesirable echo to improve the quality and intelligibility of the voice communication. While numerous AEC algorithms based on traditional adaptive filtering techniques have been proposed in the past, recent studies on the application of deep neural networks (DNN) to this problem have shown remarkable performance. However, the limited ability of these DNN to generalize to the wide dynamics of the acoustic environment still remains an open issue. The main objective of this project is to develop new DNN-based AEC algorithms to overcome this limitation. Our proposed work mainly includes incorporating additional information provided by the estimated acoustic impulse response into the DNN-based AEC framework. The new algorithms developed in this project will be used by our partner, Fluent.ai, to establish a new line of embedded voice user interfaces for communication and speech recognition, thereby enabling the company to attract additional customers and grow its business.

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Faculty Supervisor:

Benoit Champagne

Student:

Hanwook Chung

Partner:

Fluent.AI Inc

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Investigation of Power System Performance with integration of Inverter based Generation

The electric power industry is undergoing considerable changes with respect to structure, operation, regulation and modernization. One of the significant changes is the increased utilization of distribured energy sources (DES) such as wind and solar and other immerging technologies particularly in electric distribution systems. It is envisioned that DES will bcome the main source of energy in the industry in the future due to the environmental friendliness, improving capabilities and lowering cost of these resources. Transition from traditional centralized power to DES would definitely create new challenges in planning of power systems and requires new assessment techniques and methodologies. It is, therefore, both necessary and important to develop a consistent and useful approach for the evaluation and examination of the performance of power systems containing distributed energy sources, energy store, and other new technologies.

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Faculty Supervisor:

Udaya Annakkage

Student:

Thilini M.K. Hathiyaldeniye M.

Partner:

Manitoba Hydro

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Predicting aerothermal heating in complex high-speed flows

The development of supersonic and hypersonic vehicles demands careful consideration of the flow-induced heating on all the exposed surfaces. Given the cost and challenges associated with these complex flows, predictive modelling represents an essential component to the design strategies of these aerospace vehicles. The present work seeks to understand the modelling and numerical errors associated with the use of these predictive models under complex heat transfer conditions.

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Faculty Supervisor:

Jean-Pierre Hickey

Student:

Syed Imthiaz Ahamed Syed Abid Hussain

Partner:

QinetiQ Target Systems

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Waterloo

Program:

Using Technology to Combat Social Isolation

Despite increasing accessibility to connect with others online, the general public is lonelier than ever (Blackpool, Gjøvik and Tokyo 2019). To address this growing pandemic of social isolation and loneliness, the current proposal plans to use experimental methods to examine how social media can be used to help reduce loneliness and promote overall mental well-being. Specifically, I examine it by developing a better understanding of how recommending varied (different) vs. unvaried (similar) experiences to users on a platform can aid in increasing overall psychological well-being. By recommending experiences that deviate from the users’ usual self-expressed experience sets (varied experiences), lonely individuals may construe the recommendation as a sign of change, which in turn helps them to form more positive evaluations of themselves and increase overall well-being. Furthermore, this proposed effect is likely influenced by the group size of the recommended activity. Because social identity, such feelings of “us” vs. “them,” can be activated in group settings, participating a foreign activity in a smaller group size could exacerbate feelings of loneliness (e.g., “I am not one of them.”).

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Faculty Supervisor:

Kyle Murray;Leo Wong

Student:

Shirley Shuo Chen

Partner:

Spontivly

Discipline:

Economics

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Design and Fabrication of a dynamic heater on thermochromic PVC with inkjet-printing of silver ink

This proposal introduces a novel approach for designing and fabricating a low-cost and low-power heater for a dynamic thermochromic polyvinyl chloride (PVC) film. Thermochromic PVC has a reversible color change by a temperature variation and has applications in buildings. In order to have a dynamic thermochromic PVC, a heater is needed, that can be realized by inkjet-printing of a series heater pattern. Ink-substrate interactions, substrate properties, and electrical characteristics of the printed ink on the substrate are important factors for designing the heater pattern, which will be systematically characterized in the first and second steps of this project. Finally, the acquired understandings of these two steps will be used for designing and implementing the dynamic heater. The final porotype, has the ability to change its color dynamically. Thus the industrial partner can use this findings for producing a dynamic thermochromic PVC.

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Faculty Supervisor:

William S. Wong

Student:

Mohammad Nouri

Partner:

Pixiu Solutions

Discipline:

Engineering - computer / electrical

Sector:

Other

University:

University of Waterloo

Program:

Accelerate

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