Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Micronuclei detection using immunofluorescence images

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Faculty Supervisor:

Dehan Kong

Student:

Partner:

University Health Network

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

University of Toronto

Program:

Accelerate

Machine Learning-Driven Decision Support for Autonomous Services in Airport Operations

Centered on airport operations, this research utilizes open flight data from multiple airports as a focal point. Collaborating with Aurrigo, the project aims to optimize data acquisition from open sources and construct, train, and thoroughly assess machine learning models for forecasting future airport operations. These predictive capabilities will play a pivotal role in informing decision-making processes regarding the deployment and strategic planning of autonomous services within airport facilities. By integrating advanced predictive analytics powered by machine learning, this project aims to transform the operational efficiency of autonomous services, facilitating cost-effective and strategically informed decision-making across various operational domains.

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Faculty Supervisor:

Burak Kantarci

Student:

Partner:

Aurrigo

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Ottawa

Program:

Accelerate

Pioneering Digital Organs for Next-Gen Translational Medicine

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Faculty Supervisor:

Bo Wang;Rahul G. Krishnan

Student:

Partner:

Toronto General Hospital

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

University of Toronto

Program:

Accelerate

Causal Discovery from Non-Stationary Time Series

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Faculty Supervisor:

Derek Nowrouzezahrai;Samira Ebrahimi Kahou

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Developing a novel PPP-RTK location accuracy technique for the Android platform

This project is about developing a new technology for Android smartphones that improves their ability to determine exact locations using satellites. This is challenging due to issues like atmospheric effects and currently there’s a gap in research for this technology in the Android market. The plan is to use advanced methods that are in line with global standards to make the GPS positioning on Android phones much more precise. This could be a major breakthrough, setting new standards in the industry and making it easier for people around the world to use location-based services accurately. The goal is to create an App for Android phones that can pinpoint locations very precisely, using only the phones itself, not needing any extra devices.

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Faculty Supervisor:

Anwar Haque

Student:

Partner:

NovAtel Inc.

Discipline:

Computer science

Sector:

Manufacturing

University:

The University of Western Ontario

Program:

Accelerate

In vivo characterisation of a newly engineered D-serine biosensor with a micro-optrode

The brain’s 100 billion neurons communicate through the release of neurotransmitters and neuromodulators across small junctions (synapses). The last two decades have seen remarkable advances in understanding the role of such molecules in the nervous system. Amino acids such as D-serine, are now recognized as a vital neuromodulators for synaptic plasticity but also for their involvement in many pathologies. Accordingly, D-serine signalling supports long term changes in synaptic plasticity and cognitive performances while signalling aberrations have been consistently associated with several pathological
conditions including schizophrenia, Alzheimer’s disease and epilepsy. Despite these observations, we still lack a thorough understanding of how brain activity influence variations in D-serine and the mechanisms by which this amino acid impacts brain synpases. This project will validate the use of a new genetically encoded light sensitive biosensor able to detect D-Serine in the intact rodent brain. It will improve our understanding of the D-Serine mechanisms and lead to new strategies to develop therapeutics for brain diseases.

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Faculty Supervisor:

Yves De Koninck;Marie-Eve Paquet

Student:

Partner:

Université Paris-Saclay

Discipline:

Life Sciences

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

Assessment of Machine Learning–Based Medical Directives in Pediatric Emergency Medicine

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Faculty Supervisor:

Rahul G. Krishnan

Student:

Partner:

The Hospital for Sick Children

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Public administration

University:

University of Toronto

Program:

Accelerate

Neural Network Model for Predicting NBA Shot Outcome

As the game of basketball evolved, analysis of the game has also grown from taking average of field goal percentage to more complex analytics. In the 2013-2014 season, the NBA has installed the SportVU Player Tracking technology in every NBA arena. SportVU collects 25 frames of data per second, each frame containing the (x,y) coordinates of each of the 10 players and the (x,y,z) coordinates of the basketball. The goal of this research is to understand how much better we can predict the outcome of shot given this massive amount of newly available information, and what the important factors are in contributing to a made shot. This understanding will assist the Toronto Raptors, and even the general basketball community, on many levels. For example, this could provide some guidance to players (shot location and time-of-game selection) and to coaches (which player/game situations tend to be most successful. The system could also help quantify the quality of performances of players by the shots that they took, instead of only looking at the outcome, which is inherently probabilistic.

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Faculty Supervisor:

Richard Zemel

Student:

Partner:

Raptors

Discipline:

Computer science

Sector:

Arts, entertainment and recreation

University:

University of Toronto

Program:

Accelerate

Conversational Problem Solving: generating multi-step actionable plans to build trustworthy dialogue agents

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Faculty Supervisor:

Irina Rish

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

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

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