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

Anomaly Detection in Financial Data

In this joint collaboration with Scotiabank we hope to solve a commonly faced problem by large financial institutions. It is to detect errors in financial datasets. This could be due to typing errors made by a human or a computer glitch that causes an incorrect value to be stored. To identify these errors, we plan to build an error detection system. It will model how financial variables change in relation to other variables. This will help us identify groups of variables that move, through time, in a similar manner. With this knowledge we will then be able to spot errors in the data. This system will enable the bank to build trading models that are not affected by these errors and reduce the time taken to identify them.

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Faculty Supervisor:

Natalia Nolde

Student:

Abdullah Farouk

Partner:

Scotiabank

Discipline:

Statistics / Actuarial sciences

Sector:

Finance, insurance and business

University:

University of British Columbia

Program:

Accelerate

Mapping associations between drought and simultaneous fires across space and time within the Southern Canadian Cordillera

The sequence of costly wildfires that burned at multiple locations in British Columbia and Alberta during fire seasons in 2003, 2015, 2016 and 2017 remind people that fires play an important part in forests of southwestern Canada. However, people are also increasingly recognizing the role of fire in providing ecological renewal and diversification. As a testament to this growth in understanding, forestry companies are embracing practices which include emulating historical fire regimes that exhibit a wide range of spatial and temporal characteristics such as fire shape and severity. Unfortunately, for the most complex fire regimes, those of mixed-severity, climate drivers remain poorly understood. Since many forests in the Southern Canadian Cordillera have evidence of these fire regimes, increasing our knowledge of fire-climate relations across these forests can help identify patterns of fires over space and time. Such knowledge can also help anticipate changes to fire regimes due to human driven climate change.

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Faculty Supervisor:

Bianca Eskelson

Student:

Raphaël Chavardès

Partner:

Foothills Research Institute

Discipline:

Forestry

Sector:

Forestry

University:

University of British Columbia

Program:

Accelerate

Assessment of the Neonatal Lung Using Structural and Functional MRI – Year two

Currently available medical imaging tools, such as x-rays, are inadequate for assessing the lungs of preterm neonates. There is considerable interest in using magnetic resonance imaging (MRI) to monitor lung development in neonates longitudinally, since it is a non-invasive and non-ionizing imaging modality. MRI can potentially detect complications at an early stage and improve outcomes by monitoring the effectiveness of therapy, however, images typically suffer from poor signal and organ motion. In collaboration with Siemens, this proposal will develop, optimize and test novel MRI tools for improved assessment of neonatal lungs. After optimizing MRI hardware and software in year one of this proposal, the renewal year will translate these novel proton methods to neonatal lung imaging. This proposed research will help Siemens develop and validate pulmonary neonatal imaging approaches that will eventually be released as commercial products for the benefit of healthcare in Ontario.

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Faculty Supervisor:

Giles Santyr

Student:

Marcus Couch

Partner:

Siemens Healthcare Ltd.

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Elevate

Achieving aspirations of Canadian aboriginal communities through participatory cultural mapping and dynamic decision modelling – Year two

The Aboriginal housing situation in Canada is in crisis with a lack of culturally and environmentally appropriate housing. To address this need, this Mitacs Elevate project involves a collaboration between the Heiltsuk Nation (in Bella Bella, BC), the University of British Columbia, and FPInnovations. Through this project, a Participatory Approach towards Holistic Solutions (PATHS) framework was created and applied to help assess pathways with which the Heiltsuk Nation may effectively develop and implement community-led housing solutions. The PATHS framework is comprised of five steps: 1) Identifying aspirations; 2) collaboratively creating housing designs; 3) developing opportunities for housing innovations; 4) implementation of housing designs and related innovations; and, 5) reflection on the work. This Mitacs Elevate project will enable the development, implementation, and impact-benefit assessment of a Heiltsuk community-led home design. TO BE CONT’D

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Faculty Supervisor:

Christopher Gaston

Student:

Stefania Pizzirani

Partner:

FPInnovations

Discipline:

Forestry

Sector:

Aboriginal affairs

University:

Program:

Elevate

Research for Innovative Mining Methods

Narrow-vein steeply dipping deposits are challenging to mine economically because they are poorly oriented for surface mining, and underground mining normally requires development of extensive underground infrastructure before mining the vein. Memorial University is currently collaborating with Anaconda Mining for the development of innovative narrow-vein mining (NVM) technology to mine several of these deposits currently held by the company e.g. the Romeo & Juliet Deposit. The research proposed in this MITACS Accelerate Cluster will fund graduate students and post-doctoral fellows to investigate numerous aspects of the proposed narrow-vein-mining method. The proposed research activities and internships will be done by a multi-disciplinary team of graduate students, post-doctoral fellows and faculty supervisors with backgrounds in several engineering disciplines (mining, drilling, mechanical, electronics and civil) and earth sciences (geophysics).

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Faculty Supervisor:

Stephen Butt

Student:

Hongyuan Qiu

Partner:

Anaconda Mining Inc.

Discipline:

Engineering

Sector:

University:

Program:

Accelerate

Integrated Far- and Near-Field Human Exposure Modelling for Organic Substances – Year two

Thousands of organic chemicals have been synthesized and commercialized for industrial and consumer uses. However, an increasing number of organic chemicals are revealed to be “hazardous” because of their potential adverse environmental and/or health effects. The project seeks to identify the primary route(s) that humans take up these organic substances, e.g., use of personal care products, through inhalation of contaminated indoor air and dust, or consumption of contaminated animal- and vegetable-based food. We develop integrated mechanistic models that combine both near- and far-field exposure pathways in an explicit, coherent manner, and apply these tools to help establish a comprehensive, integrated understanding of human exposure to chemicals in products. TO BE CONT’D

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Faculty Supervisor:

Frank Wania

Student:

Li Li

Partner:

Arnot Research and Consulting Inc.

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Elevate

Stability of Geobag Elements for Riverbank Protection

Riverbank erosion is a major threat to millions of Bangladeshi citizens who live in the vicinity of the country’s rivers, causing loss of life, land and livelihood. Sand-filled geotextile bags (geobags) are a solution to this problem and are widely used across Bangladesh to guide river flow and redirect channels in the wide braided rivers, preventing erosion and enabling land reclamation. The construction of geobag revetments takes advantage of Banglades However, the interaction between the geobag revetments and river flow is relatively unknown because the sediment laden water hinders visual observations. This research project aims to improve the understanding of how geobags behave underwater. This research is a critical step in refining the use of geobags in river revetments and will help NHC successfully implement this valuable technology in Bangladesh.

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Faculty Supervisor:

Yuntong She

Student:

Angela Thompson

Partner:

Northwest Hydraulic Consultants Ltd.

Discipline:

Engineering - civil

Sector:

Manufacturing

University:

Program:

Accelerate

Antigen tracking of the DepoVaxTM-R9F cancer vaccine using MRI

Immunovaccine Inc. is developing cancer vaccines using the company’s DepoVaxTM vaccine technology. DepoVax is a patented formulation that displays excellent tumor control and provides a long lasting and specific effect. The way by which this vaccine exerts its effect is unclear but the translational team at Immunovaccine is determined to discover its mechanism of action and why their proprietary DepoVax technology delivers superior responses in comparison to other vaccines. This project will aim to figure out, using preclinical models, how the vaccine’s components are being transported within the immune system and which cells are responsible for this transport. The vaccine components will be labeled so that it can be tracked using magnetic resonance imaging (MRI) in the presence or absence of immune cells at the frontline of the immune system, like dendritic cells and macrophages. TO BE CONT’D

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Faculty Supervisor:

Kimberly Brewer

Student:

Marie-Laurence Tremblay

Partner:

Immunovaccine Inc.

Discipline:

Visual arts

Sector:

Life sciences

University:

Program:

Accelerate

Multi-species sustainable fisheries management using scientific and traditional ecological methods – Year two

I am conducting a multi-species fish population monitoring project in Quebec’s largest lake (Mistassini), to facilitate community-based fisheries management with the Cree Nation of Mistissini. Mistassini is home to recreational fisheries for walleye, lake trout, brook trout and pike. With a 31% increase in the regional human population since 2001 and increasing fishing pressure, effective monitoring of Mistassini’s harvested fish populations is essential. Life history and genomics attributes will be used to assess changes over time in length and weight, population structure, effective population size and whether or not there are any signatures of selection at the genetic level for walleye and brook trout, what the management units should be for pike, and whether or not fine-resolution genetic techniques can better resolve the stock structure of lake trout. Temporal genomic surveys will be complemented with surveys of traditional ecological knowledge (TEK) of local Cree fishers. TO BE CONT’D

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Faculty Supervisor:

Dylan Fraser

Student:

Ella Bowles

Partner:

Niskamoon Corporation

Discipline:

Biology

Sector:

Forestry

University:

Program:

Elevate

Context-Aware Advertising Language Modeling with Deep Learning for Internet Ads

Digital advertising is a rapidly growing industry, commonly seen on Facebook and Google. However, most people who start promoting their business with Internet Ads are not professional and experienced marketers. They need help to design and launch ads campaign, especially on writing ads copies. Meanwhile, people have started to embrace AI technologies in the industry more than ever before. In this project, I propose to bring the state-of-the-art AI technology into the partner company’s products. I will train deep learning neural networks with Tensorflow to learn and write ads copies. Moreover, I will try to implement the latest research, Generative Adversarial Network, to improve the learning capability of the neural networks. This project will enable the partner organization to launch the new product in this industry and take the advantage in the growing competition.

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Faculty Supervisor:

Yvonne Coady

Student:

Dandan Huang

Partner:

Digitoria Media Limited

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

A new technological paradigm for low-cost, decentralized vaccine manufacture at point-of-use

Vaccines are a vital part of society’s arsenal for preventing the spread of infectious diseases. Since they are challenging to produce, vaccine manufacturing is largely concentrated in select locations in the developed world. This situation presents steep obstacles to transporting them to people in the developing world who need them the most. Moreover, transportation and storage comprises roughly half the cost of a vaccine dose. We propose to innovate how vaccines are manufactured and delivered by developing a disposable and portable manufacturing platform for deployment in low-resource and isolated settings. We will work closely with Sanofi Pasteur and apply principles of engineering design, synthetic biology and chemical process engineering to achieve our goals.

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Faculty Supervisor:

Vikramaditya Yadav

Student:

Athanasios Kritharis

Partner:

Sanofi Pasteur

Discipline:

Engineering - chemical / biological

Sector:

Life sciences

University:

Program:

Accelerate

A digital technology platform for supply chain: Development of scenario planning and forecasting models and tool for the engine build program to assess the impact of variations in sales forecast on inventory planning

Industry 4.0 is the digitization of a company’s physical assets and the company’s integration into digital ecosystems with its value chain partners, from suppliers to customers. It uses smart technology and the use of real-time data to increase flexibility, customization, efficiency and productivity, and to reduce time, costs and innovation cycles. This project will focus on adapting novel concepts to an enterprise to meet these challenges, with an emphasis on smart processes as a means to achieve the transition to Industry 4.0. This research aims to provide new light and help our partner industry to generate different problems in their supply chain by developing scenario planning and forecasting (Sales & Operations Review Board (SORB)) approaches and tool for inventory management to optimize the working capital and increase response to customer demand. This project will allow partner to identify and implement a tool that consolidates data and achieve visibility across the supply chain to support supply chain improvement and growth, highlighting exposure to inventory liabilities and increasing transparency between supply chain partners.

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Faculty Supervisor:

Hany Moustapha

Student:

Yosra Grichi

Partner:

Siemens Canada

Discipline:

Visual arts

Sector:

Information and communications technologies

University:

Program:

Accelerate

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