Innovative Projects Realized

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

31133 Completed Projects

2940
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5159
BC
837
MB
685
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882
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9292
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9695
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97
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601
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1161
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Projects by Category

A holistic and intelligent cyber risk quantification framework

In our contemporary world, digital systems are playing critical roles in every aspect of life. To maintain our digitalized environments safe, secure, efficient, and cost-effective, cyber risk assessment frameworks have been developed to assess the trustworthiness and effectiveness degree of an IT-based environment. However, these frameworks demand in-depth insights, expertise, and efforts to complete them as well as collecting huge volume of information and knowledge and then process them. In addition, while enterprises executives search quantitative and comparable outputs, these assessment frameworks do not address this need intactly. In this project, we offer a framework that leverages state-of-the-art AI technology to intelligently collect, process and extract knowledge from heterogenous source of data to generate real-time quantitative risk assessment reports. It also utilizes its generated reports as well as various important factors for decision making and provides its stakeholders with comprehensive decisions to mitigate risk and enhance effectiveness.

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Faculty Supervisor:

Ali Dehghantanha

Student:

Partner:

eSentire;Cyber Maple Ltd

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Cyclic CO2-Based Solvent Injection in Post-CHOPS Reservoirs with Complex Wormhole Systems; From Reservoir-On-The-Chip to Field Scale Optimization: An Attempt Towards the Net-Zero Approach

The primary objective of this project is to provide Canadian petroleum companies with a set of reliable data derived from experiments conducted on reservoir-on-the-chip platforms that facilitate the visualization of pore-scale interactions between solvent and heavy oil during the CO2-based CSI process in the presence of complex wormhole systems in post-CHOPS reservoirs. The reservoir-on-the-chip is particularly effective in capturing the effects of the governing operational parameters on foamy oil stability and the overall performance of a CO2-based CSI process. Moreover, an up-scaling procedure will be developed for converting lab data to field scale to construct a field scale simulator that allows to optimize the operational parameters on a real oil field. Furthermore, the field scale simulator will enable companies to examine the capacity of post-CHOPS reservoirs to store CO2 and ultimately, mitigate the impact of this gas on the environment.

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Faculty Supervisor:

Farshid Torabi

Student:

Partner:

Petroleum Technology Research Centre

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

Comprendre les modalités d’intervention pour renforcer l’innovation entrepreneuriale en adaptation aux CC des régions touristiques phares des Îles-de-la-Madeleine et des Laurentides

Le présent projet cherche à catalyser les efforts communs afin de mieux définir les contours de l’innovation en adaptation aux changements climatiques pour le secteur du tourisme largement affaibli par la crise sanitaire et répondre au besoin de relancer différemment les activités économiques touristiques. Il vise à comprendre comment, face aux impacts des changements climatiques, faciliter l’intégration des risques et occasions d’affaires permettant de générer de l’innovation sociale et managériale vers des solutions durables en tourisme.
Les stagiaires s’engageront dans un processus Living Lab avec deux régions touristiques, les Laurentides et les îles de la Madeleine, dans le but d’identifier les moyens de soutenir l’innovation dans l’adaptation aux changements climatiques du secteur touristique.

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Faculty Supervisor:

Dominic Lapointe

Student:

Partner:

Ouranos Inc

Discipline:

Sociology

Sector:

Accommodation and food services; Agriculture; Professional, scientific and technical services; Public administration

University:

Université du Québec à Montréal

Program:

Accelerate

An End User-Centric Study of Autonomous Technology Adoption in Controlled Environments

The main objective of the project is to explore the technological trends and automation in Courier, Express and Parcel (CEP) industry with key focus on autonomous technologies that can leverage CEP operations. Then the technology readiness as well as the user readiness for autonomous technologies will be investigated followed by an evaluation of the community impact of such innovation. Autonomous technologies (i.e driverless intelligent transformation, vehicular communications, drone deliveries, crowdsourced deliveries, mobile crowdsensing, machine learning) can be introduced in several operational processes like packaging, tracking, warehousing, delivery, or sales.

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Faculty Supervisor:

Burak Kantarci

Student:

Partner:

Canada Post

Discipline:

Business

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

University of Ottawa

Program:

Accelerate

Exploration of Authoring Features to Facilitate Rapid Creation of STEM Subject Content in Mobile Practice Applications

This internship is a continuation of a previous Mitacs Accelerate Internship during which time Mathtoons worked with Dr. Wang of UBC Okanagan and intern, Yipin Guo of the Math and Computer Science faculties. The previous research enabled Mathtoons development team to incorporate many features within its Content Editor software which will allow teachers of upper level STEM subjects to create complex questions (without requiring software coding ability), preview the question within the software to view device constraints, and easily embed LaTeX formatted formulas that can be read and reviewed by students using small, handheld mobile devices. The second and current phase of the internship will now consider these next potential softwareeatures for collaborative content editing: 1) Ability to easily incorporate graphs in questions; 2) Addition of content tagging features to allow global content searchability, 3) User Customized Buttons for easy creation of complex STEM subject questions, 4) Testing of new editing tools within Mathtoons Content Editor. Mr. Guo and supervising professor, Shawn Wang, will help Mathtoons development team discover, test, assess and refine further authoring tools that will make their app content authoring software more accessible for more STEM content creators.

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Faculty Supervisor:

Shawn Wang

Student:

Partner:

Mathtoons Media Inc

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

University of British Columbia - Okanagan

Program:

Accelerate

Investigation into multi-terminal and multi-infeed option for Western Canada Grid with renewable sources

Presently the electrical grids of Manitoba, Saskatchewan and Alberta are operated with limited energy exchange between them. Connecting the three provinces together with a “Western Canada Grid (WCG)” could yield significant advantages. Connection with HVDC transmission is attractive due to its control flexibility and stability. This project will investigate optimum converter types and control methods for implementing a successful Western Canada Grid. Different transmission structures and various operating scenarios for the grid structure in each region will be identified, and control options, including the recently introduced “grid forming” and the traditional “grid following” control options will be investigated for potential application. The result of this study will enhance the consulting knowledge base of HVDC system studies for Electranix Corporation.

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Faculty Supervisor:

Aniruddha Ani Gole

Student:

Partner:

Electranix Corporation

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Development of nutrient sensor for potato plants based on foliar spectral reflectance

Developing a sensor to detect nutrients in plants, replacing wet chemical analysis, has many advantages including rapid understanding of the nutrient status and the ability to scan wide areas of the field. The sensing principle is based on detecting spectral patterns of the leaves and relating them to nutrient availability in the petiole. However, such development is complex because of the many factors (bitotic and abiotic) that may influence the status of the plants leaves and the way they reflect light. In the first stage of this research, we established a robust method of dataset creation to minimize effects of factors other than nutrients. In the second stage, we are analyzing the datasets to find correlations. At the beginning, we assumed independent relationships of the nutrients and created simple statistical models to find trends. Now, we are aiming at understanding the complex relationship between the nutrients themselves and find how they may affect each other. The results of this work will help in inventing a reliable sensor that can detect wide range of elements of nutrients.

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Faculty Supervisor:

Ahmad Al-Mallahi

Student:

Partner:

Aston University

Discipline:

Engineering

Sector:

Technology; Agriculture and Food; Artificial Intelligence

University:

Dalhousie University

Program:

Globalink Research Award

Analyser les expériences judiciaires des personnes marginalisées : enjeux et défis de l’accompagnement

Le projet consiste à mener une recherche participative, de concert avec la Clinique Droit de cité, permettant d’analyser les parcours judiciaires des personnes marginalisées à Québec et de cibler les enjeux et défis dans l’accompagnement. La Clinique Droit de cité vient en aide aux personnes marginalisées à Québec qui souhaitent régulariser leur situation judiciaire afin de leur faciliter l’accès à la justice, notamment en leur offrant de l’information sur les procédures pénales et un accompagnement dans la défense de leurs droits. Partant du constat que les personnes en situation d’itinérance et/ou marginalisées sont surjudiciarisées, l’organisme désire obtenir un portrait plus global des différents parcours de judiciarisation de ces personnes pour mieux situer leurs propres actions et les intégrer dans des enjeux structuraux et politiques. Cette analyse permettra d’élaborer un guide de pratique pour guider la Clinique Droit de cité dans l’optimisation de leur offre d’accompagnement.

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Faculty Supervisor:

Audrey-Anne Dumais Michaud

Student:

Partner:

Clinique d'accompagnement juridique Droit de cité

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Université Laval

Program:

Accelerate

Indépendance et Union européenne

Ce projet analyse les liens qui lient les mouvements indépendantistes européens à l’Union européenne. Plus précisément, il s’agit de comprendre pourquoi les mouvements indépendantistes européens cherchent à protéger leur lien à l’Union européenne dans leur quête de souveraineté. Ce projet analyse donc les raisons stratégiques qui poussent le mouvement indépendantiste écossais à vouloir ramener l’Écosse au sein de l’organisation européenne.

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Faculty Supervisor:

Laurie Beaudonnet

Student:

Partner:

Université Catholique de Louvain

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

A probabilistic quantitative structure-activity relationship model for predicting synergism of mixtures of compounds in treating cancers

Combination therapy has been one of the cornerstones for combating cancers. Even though the survival rate of cancer patients after receiving combination therapy is improved dramatically, there are still many unsolved issues to prevent us from claiming combination therapy is a cure for cancers. Those issues include it does not apply to all types of cancers; there are increased risks of side effects, and it requires long developmental time and huge costs. One approach to resolve these issues is applying multiple-compound multiple-target paradigm directly during discovery processes, which exactly is the backbone of the partner organization’s proprietary drug discovery technology. Yet the technology lacks an appropriate and efficient way to predict the effects of combinations. Therefore, the proposal aims not only to improve this technology but also resolve issues in combination therapy.

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Faculty Supervisor:

Jack Tuszynski

Student:

Partner:

SinoVeda Canada Inc

Discipline:

Physics

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Data-driven optimization of light commercial buildings’ operation

Data-driven optimization of building operations can significantly increase energy efficiency in the building sector with a relatively minimal cost. However, one of the main obstacles that prevent wide-spread implementation of advanced control strategies is the lack of standardization in data organization and advanced control algorithms between different buildings. To this end, this MITACS partnership with Strato Automation (a Montreal-based company) will leverage their building automation system which uses a relatively standardized data schema across hundreds of small to medium commercial buildings in North America in which it is deployed. This standardization will allow the applicants to develop scalable control technologies that provide automated fault detection for mechanical systems, and predictive control to optimize the operation of these systems based on day-ahead weather forecasts. Ultimately, these applications can provide significant energy savings for commercial building operations, which can be scaled up non-invasively in hundreds of similar small to medium commercial buildings across North America

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Faculty Supervisor:

Mohamed Ouf;Mazdak Nik-Bakht

Student:

Partner:

Strato Automation

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Swarm Intelligence Enables Multiple Unmanned Surface Vehicles for Environmental Monitoring

Rivers, canals, and lakes spread all over the land, making the interaction with the water environment a common daily experience for people. High-quality waters make the city beautiful. Nevertheless, there still remain significant challenges in maintaining the waters. In order to enhance the reliability and efficiency of water maintenance, we will develop the swarm intelligence enabled multiple unmanned surface vehicles (USVs) with the aim of offering foundations for the water environment monitoring task. With the swarm intelligence-based planning capability, the USVs can effectively and efficiently detect the floating waste on the water surface and generate the safe, efficient and energy-optimal trajectories for the USVs. The USVs then can follow the planned trajectories under the distributed MPC based formation control strategy.

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Faculty Supervisor:

Yang Shi

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Ocean Tech; Automotive

University:

University of Victoria

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.