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

Improving energy system planning solutions by accounting for inherent uncertainties through robust optimization

More and more distributed energy resources (smart loads, self-generation, electric vehicles, etc.) are installed directly at the customers.  This causes fluctuations in the distribution network that can reverse the power flow or increase the cold pick-up effect. The infrastructures in place have not been designed for this new reality and they must be adapted accordingly, and ideally, at minimum costs.  Herein, we will develop a new methodology to optimize such networks in presence of local renewable energy producers (new control device location, generation type limitations, nominal power, battery storage eventually). To accomplish this, we will extend the mesh-adaptive direct search algorithm (MADS) to perform robust optimization on high-dimensional and time-consuming models with inherent uncertainties and apply it to the present problem.

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Faculty Supervisor:

Sébastien Le Digabel

Student:

Miguel Diago Martinez

Partner:

Institut de recherche d’Hydro‐Québec

Discipline:

Engineering - other

Sector:

Energy

University:

École Polytechnique de Montréal

Program:

Elevate

A Unified Framework for Remote Monitoring the State and Performance of Photovoltaic Power Plants

Energy produced using the solar radiation as the source is one of the most prominent parts of the clean energy mix. More than 300 GW of photovoltaic systems (PV systems) of different size supply the daily needs of millions of families and industries around the world. Photovoltaic panels are installed on the roof of houses and buildings, or they constitute large-scale photovoltaic power stations. Monitoring the energy production of the PV systems has a crucial role in both predictability and maintenance. To effectively monitoring the systems, the measures of the energy produced need to be remotely read and compared with the estimate production values that are calculated considering the solar radiation. With these data, many views and indexes related to the operating status of the plants can be given. Also, suggestions on how better use the self-produced energy can be supplied. 

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Faculty Supervisor:

Srinivas Sampalli

Student:

Saurabh Dey

Partner:

Sunreport IT

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Dalhousie University

Program:

Accelerate

Stabilization of Mine Tailings with Inorganic Polymer Binder

The project aims to refine a process developed by Terra CO2 Technologies to use a small proportion of geopolymer cement made from mine tailings to solidify and stabilize a bulk volume of tailings against leaching and water contamination. Beyond tailings stabilization, waste mineral geopolymer cement may be advantageous as an environmentally-friendly replacement for Portland cement because CO2 emissions are approximately halved with such a geopolymer cement compared to a similar quality conventional cement – a significant contribution given that ~5% of human CO2 emissions are caused by Portland cement production.

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Faculty Supervisor:

Lee Groat

Student:

Donald Lake

Partner:

Terra CO2 Technologies Ltd

Discipline:

Geography / Geology / Earth science

Sector:

Mining and quarrying

University:

University of British Columbia

Program:

Accelerate

Optimization of Savings and Retirement for Canadians

There are numerous financial goals that most Canadians face. Retirement, funding post high school education, managing debt, purchasing appropriate amounts of insurance and saving for lump sum purchases. Each of these goals has various accounts and savings vehicles associated with them. The research projects we are proposing will help Canadians define their own financial situation, focus on their goals in the optimal order, and best utilize savings vehicles and government benefits to best meet their goals. Glencairn Financial Inc. wishes to be in the business of helping Canadians meet their goals no from a product and sales approach, but from a mathematical and optimization approach.

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Faculty Supervisor:

Michael Chen

Student:

Jingyi LIU

Partner:

Glencairn Financial Inc

Discipline:

Mathematics

Sector:

Finance, insurance and business

University:

York University

Program:

Accelerate

The Future of Learning

Today’s technological advancements are changing job requirements and skills expectations at a rapid rate. Businesses are consistently striving to investigate these trends and prepare for upcoming “disruptions.” In terms of job automation, there are many barriers that people experience when trying to access learning platforms such as online learning tools and micro learning sessions, as the majority of these platforms are aimed at individuals who already have a post-secondary education, and other credentials. This project will develop a white paper outlining strategies and recommendations to help businesses and individuals structure collaborative learning platforms aimed at helping people consistently refresh their skill sets and stay relevant in their chosen industry, or give them the ability to move into new industries.

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Faculty Supervisor:

Marcel O’Gorman

Student:

Diana Ojeda

Partner:

Deloitte

Discipline:

Literature

Sector:

Information and communications technologies

University:

University of Waterloo

Program:

Accelerate

Business Data Analytics: Warranties, Recommendations, and Fleet Management

Using mathematical models we draw verifiable conclusions from a rental-fleet dataset. These conclusions help rental-fleet operators increase revenue, decrease cost, or improve other aspects of their business. We not only identify what models to build, but also implement them using rental-fleet data. Some example questions that we help rental-fleet operations answer are: 1) what warranties should they offer to their customers or purchase for their equipment? 2) what actions should the rental-fleet operator take to improve its performance in self-identified areas? 3) what actions, as suggested by others in the field, should the operator take to improve operations?

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Faculty Supervisor:

Stan Dimitrov

Student:

Eliza Tripathy

Partner:

Texada Software

Discipline:

Business

Sector:

Finance, insurance and business

University:

University of Waterloo

Program:

Accelerate

Investigations and Analysis of Industrial Internet of Things Ecosystems

Rimot monitors, controls and provides insights into remote critical infrastructure through the use of enabling technologies such as data analytics, security and advanced networking.  Critical research areas in data analytics, security and advanced networking are beneficial for the creation of unique intellectual property and commercialization opportunities for Rimot.  This project will focus on the investigations and analysis of industrial Internet of Things ecosystems including, exploring the impacts of IOT security and threat assessment using port and naval systems; determining the optimal mix of computer power availability with edge analytics with local machine learning algorithms; and developing insight for macro impacts on IOT systems such as weather on communications infrastructure.

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Faculty Supervisor:

Jean-Francois Bousquet

Student:

Hossein Rezaii

Partner:

Rimot.io Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Dalhousie University

Program:

Accelerate

Measured and perceived differences between writing on digital and analog surfaces

Digital devices have the potential to play a positive role in the classroom.  For example, longhand note-taking has been shown help learners better remember what they’ve learned than typing notes on a keyboard.  With younger generations more accustomed to using digital devices in their everyday lives, it is important that the educational system finds a way to move digital devices into the classroom in a way that these devices can support learning.  In this study, we hope to gain a better understanding of how students are able to take notes on different digital devices, and what properties might help them improve their learning in the modern classroom.

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Faculty Supervisor:

Ulrike Stege

Student:

Sarah Carruthers

Partner:

QuirkLogic Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Victoria

Program:

Accelerate

Engineering WD40 Domain-Mediated Protein-Protein Interactions in DNA Repair for Cancer Therapeutics

Current cancer therapies rely on toxic chemotherapeutic agents that lack the potency and selectivity of protein-based therapy. Consequently, new technologies to systematically target cancer signaling pathways at the protein level are urgently needed. Dr. Zhang has developed a platform that consistently and successfully produces quick and cost-effective protein-based therapies that are both highly-binding and specific to the disease target. To model protein structures, ProteinQure utilizes quantum computing, an emerging tool that surpasses the capabilities of traditional computers, and can process information at unprecedent speeds. In this project, we aim to seamlessly integrate these two technologies into a pipeline that can easily, rapidly and cost-effectively generate protein drugs capable of modulating protein-protein interactions that modern drugs have been unable to target. The outcomes of this project include a new standardized approach to drug discovery, potential pre-clinical protein inhibitors, and increased knowledge of cellular mechanisms important for cancer therapies, which should highly benefit both parties and the public.

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Faculty Supervisor:

Wei Zhang

Student:

María Rosales Gerpe

Partner:

ProteinQure

Discipline:

Biochemistry / Molecular biology

Sector:

Medical devices

University:

University of Guelph

Program:

Accelerate

Dance Like the Machine’s Watching

We are proposing an investigation of techniques and technologies to support media-enhanced group performances that integrate different performative art forms (dance, theatre, clown, voice, choral) with responsive mixed reality technologies and public data sets. We will work with a group of young performers (13-17 years old) and a local Vancouver choreographer to deeply investigate, with embodied methods, the potential ways of creating a group performance that truly benefits from a layered digital reality. Several interim performances will be held to gather feedback from audiences at venues to be determined. A larger final public performance will be scheduled near the end of the internship. We expect the knowledge gained from this investigation will inform performers/choreographers who want to integrate mixed reality into a performance lexicon, and will inspire more technologists to target creative expression as a goal in machine learning and interaction design. The results will also be indicative of new cultural expressions that will be made possible when augmented reality technologies are ubiquitous and integrated into public spaces of all kinds.

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Faculty Supervisor:

Maria Lantin

Student:

José Castelán Ibarra

Partner:

Microsoft Canada

Discipline:

Medicine

Sector:

Media and communications

University:

Emily Carr University of Art and Design

Program:

Accelerate

Anthropogenic impacts on the population dynamics of a critically endangered marine mammal

Economic development often has dire consequences for wildlife and environmental conservation. In Taiwan coastal waters, a small dolphin population is being affected by large-scale habitat loss and degradation resulting from development projects, pollution, vessel traffic and a massive fishing industry. The research aims to identify the threats having the greatest impacts on different aspects of the population ecology and demographics of these long-lived mammals, both temporally and spatially, and to better understand how these animals may be affected by different scales of human activities. The research will then be applied in developing a conservation recovery plan for the species, which can used to help sustain the Taiwanese dolphin population and be applied in Canadian waters to help save endangered species with similar traits.

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Faculty Supervisor:

Simon Bonner

Student:

Claryana Costa Araújo

Partner:

Ocean Wise

Discipline:

Biology

Sector:

Life sciences

University:

Western University

Program:

Accelerate

Anaerobic co-digestion of organic and cellulosic wastes for increased biogas production

The goal of this research project is to study and develop optimal strategies for operating anaerobic co-digestion processes involving organic waste with cellulosic substrate derived from paper wastes. The effects of enzymatic treatment to boost degradation of the paper wastes in anaerobic conditions will also be evaluated. Furthermore, best approaches for transitioning feedstock compositions, such as from lower to higher paper content and vice versa, will be investigated. An experimental database will be developed and embedded in a simulation platform that functions as a decision-support tool for operating anaerobic co-digestion processes. This study enhances scientific understanding of co-digestion behaviours of mixed feedstocks at various compositions and identifies technical feasibility for full-scale applications. The outcomes of this proposed project are expected to bolster Canada’s movement towards the development of a circular economy and support municipalities in managing their solid waste more effectively.

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Faculty Supervisor:

Céline Vaneeckhaute

Student:

Zamry Jamaludin

Partner:

Anaergia Inc.

Discipline:

Engineering - chemical / biological

Sector:

Environmental industry

University:

Université Laval

Program:

Accelerate

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