Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Two-phase flow in industrial distributors – Optimizing bubble size to improve system efficiency

This project will be used to help develop tools for modelling how we control and optimize the size of bubbles that are needed in some industrial reactors. The current application is related to on-going work that is helping to reduce the energy needed to produce existing carbon-based fuels, but is also applicable to aquaculture, bioreactors, and a variety of emerging technologies that will need to be scaled up to meet the growing demand in Canada. This project is expected to increase collaborations between Dalhousie and the partner institution, Keio University (Japan), providing an opportunity for students at Dalhousie to learn more about some of the different research activities at Keio, while offering training in state of the art modelling techniques to participants from Keio that will help set a foundation for additional joint projects and research.

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Faculty Supervisor:

Adam Donaldson

Student:

Partner:

Keio University

Discipline:

Engineering

Sector:

Education

University:

Dalhousie University

Program:

Globalink Research Award

Development of bio-brick sequestering recycled aggregates and agricultural waste, for use in new construction projects

Bio-bricks are concrete bricks of recycled materials for use in low-cost structural applications. Natural aggregates will be replaced with recycled aggregates from construction and demolition waste to mitigate the carbon emissions and waste disposal. As a part of climate action plan against the climate crisis the Government of Canada has set its goal to achieve net zero emissions by 2050. The local construction industry along with the University of British Columbia (UBC) sees the value to the local construction industry to develop new affordable and sustainable building components. This work aims to develop cost-effective and environment friendly bio-bricks with adequate strength and durability. Th partner organization can utilize the research findings to develop green and durable bio-bricks as a sustainable solution to new building projects.

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Faculty Supervisor:

Shahria Alam

Student:

Partner:

NetZero Enterprises Inc.;Westhills Aggregate

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Attosecond control of exciton dynamics in quantum materials

The emergence of high-harmonic generation in solids has opened the door to countless new techniques for attosecond control in electronic devices. Simultaneously, quantum materials have become increasingly important for next-generation technologies that exploiting quantum mechanics for computation or sensing. Of particular interest is the family of 2D semiconductors, which are known to host an interesting atom-like quasiparticle called an exciton. The unique and diverse properties of these materials, combined with the inherently nanoscale features of 2D materials, provides a virtual playground for physicists and engineers. Nevertheless, while the merging of these two fields shows great promise for applications such as lightwave electronics, much of the fundamental physics governing the attosecond dynamics of excitons is not well understood. This leads to several interesting questions: 1) What are the excitonic siganture in the high-harmonic generation and how do we measure them? 2) To what extent can we control their properties using layers and heterostructures of 2D materials? And 3) can we exploit them to create novel devices harnessing the power of quantum mechanics? This Mitacs Globalink project, will begin exploring these questions, which tackle both the fundamental and applied aspects of attosecond science in quantum materials.

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Faculty Supervisor:

Giulio Vampa

Student:

Partner:

Universidad Autonoma de Madrid

Discipline:

Physics

Sector:

Quantum Science; Nanotechnology

University:

University of Ottawa

Program:

Globalink Research Award

Homeporter GPT

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Faculty Supervisor:

Dhanya Sridhar

Student:

Partner:

HomePorter Inc.

Discipline:

Computer science

Sector:

Real estate and rental and leasing

University:

Université de Montréal

Program:

Accelerate

Coalescence Free Surfaces

Water injection in the industrial gas turbines is frequently used to improve the turbine performance during hot days. Injected water evaporates in the compressor section providing effective cooling leading to increased gas density and improved performance. Water injection technology poses several technological challenges. The injection system needs to be optimized to provide a uniform droplet size distribution across the inlet cross section. Water droplet interaction with static components of a compressor, such as casings and vanes may create accumulation of a water film dynamically shedding off. Such behavior leads to a non-optimum water distribution decreasing the overall efficiency of the water injection system. The purpose of the project is to understand the dynamic interaction between the wet air stream and compressor components. The planned work will be realized through computer modeling and experimental validation.

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Faculty Supervisor:

Ali Dolatabadi

Student:

Partner:

Rolls-Royce (Dorval, QC)

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Manufacturing and supply chain optimization of a mobile plastics recycling plant for deployment in remote Indigenous communities

Plastics recycling remains a major challenge to global environmental sustainability, particularly for vulnerable populations such as remote Indigenous communities in which plastic waste is not viably captured by existing recycling networks. This research project aims to support the on-going work by NetZero Enterprises Inc., in the technical and business R&D for scaling-up the company’s mobile plastics processing plant, for deployment in processing waste PET in such remote communities. The processed PET will re-enter the plastics supply chain and provide income for the community leasing the mobile plant, such as re-bar used in construction, which will be upcycled and functionalized in targeted applications.

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Faculty Supervisor:

Babak Mohamadpour Tosarkani;Mohammad Arjmand;Abbas Sadeghzadeh Milani

Student:

Partner:

NetZero Enterprises Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Correction automatique de textes français avec Electra

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Faculty Supervisor:

Yoshua Bengio

Student:

Partner:

Druide Informatique

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université de Montréal

Program:

Accelerate

Detecting Intrusions Stemming from MSFT Co-Pilot in Windows 11

Living-off-the-land binaries (LOLBins) refer to legitimate executables pre-installed with the operating system, like powershell.exe and certutil.exe, exploited by attackers for sophisticated fileless attacks. These attacks, leveraging LOLBins, are often undetectable and pose challenges for detection, incident response, and threat hunting. Microsoft Copilot’s integration as a default tool in Windows 11 adds complexity to the threat landscape. This project aims to extract novel atomic indicators from incidents involving attacks utilizing Microsoft Copilot, contributing to threat intelligence. The extracted IOCs play a crucial role in enhancing security awareness without increasing the complexity of threat detection. This project can be divided into five steps: Data Collection, build a model for automated IOC extraction, testing and evaluation, fine-tuning and deployment and reporting and presentation. The initial stages focus on collection of data and identifying actionable intelligence by coordinating with the threat intelligence team. This data can be used to train, test, and deploy the developed automated IOC extraction model. On successful deployment of the model, it can be integrated with the Threat Intelligence feed to use the actionable intelligence in threat detection and incident response.

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Faculty Supervisor:

Ali Dehghantanha

Student:

Partner:

eSentire

Discipline:

Computer science

Sector:

Cyber Security; Information and Communications Technology; Technology

University:

University of Guelph

Program:

Accelerate

Developing domain specific deep learning models for phishing detection

Leverage machine learning to develop accurate and sophisticated malicious website detection tools

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Faculty Supervisor:

Ali Dehghantanha

Student:

Partner:

Arctic Wolf Networks

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

User Traces and Adaptive Application Management, within the implementation of a new application for DreamIT

We will research and explore ways of tracking user behavior on a mobile application, as well as being able to remotely update the application without having to update program code. Thus we aim to provide developers with tools and options when it comes to customizing their application depending on user behavior and environments. Meanwhile the partner organization DreamIT will benefit primarily by receiving a new mobile application allowing them to meet their contract. They will also gain insight into the mobile application field, along with tasting some of the fruits from the latest research endeavors. They have stated that this will allow them to expand as a company, and grow into new possible areas of work.

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Faculty Supervisor:

Ralph Deters

Student:

Partner:

DreamIT

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Information and Communications Technology; New and Digital Media; Other

University:

University of Saskatchewan

Program:

Accelerate

Anomaly and Defect Detection in Orchards

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Faculty Supervisor:

Aaron Courville

Student:

Partner:

Vivid Machines

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Vision-Language Models adapted to the blind community

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

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Faculty Supervisor:

Aishwarya Agrawal

Student:

Partner:

Technologies HumanWare Inc.

Discipline:

Computer science

Sector:

Manufacturing

University:

Université de Montréal

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.