Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Machine Learning Synergy

Aim: Learn and observe the scope of research activities at BMC within Youth Mental Health Technology team and contribute when possible at the University of Sydney. Participate in collaborative research activities related to Project Synergy between the University of British Columbia and The University of Sydney. This research aims to assist in the creation of a predictive model that can be embedded in a clinical decision support system to address risky behaviour among people who inject drugs (PWID). The different techniques, methodology, and approach will be learned from an existing service in project synergy from the University of Sydney. The completed tool can assist decision-making from doctors, nurses and healthcare workers on the front line to identify and personalize treatment trajectories for the vulnerable drug-using population in British Columbia.
The applicant’s objective is to compare a predictive model based on Artificial Intelligence (AI) techniques which will use Machine learning (ML) algorithms with existing models from the University of Sydney’s Project Synergy.

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Faculty Supervisor:

Michael Krausz

Student:

Partner:

The University of Sydney

Discipline:

Computer science

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Fault Diagnosis of Power Transformers Based on Sequence-to-Sequence Deep Learning Approaches

The current internship is an extension of an ongoing project (application ref. IT24703) which implies the advanced deep learning-based approaches to diagnose the simultaneous power transformers’ faults based on a time-series dataset.
The power transformers were selected as the candidate assets in the previous project. They are pieces of essential equipment for electricity transmission and distribution systems. The power transformers are expensive and account for massive capital expenditure in electrical networks. Additionally, the reliability and availability of the entire electricity grid depend on its operational stability. So, utility companies must prioritize failure prevention and the sustenance of the optimal functional status of these assets. In this case, detecting the transformer’s incipient faults and the ability to extract insights or useful knowledge from the power transformers’ data in a timely and intelligent way is urgently needed.
Artificial intelligence (AI), particularly machine learning (ML), has grown rapidly in recent years in the context of data analysis and computing that typically allows the applications to function intelligently.

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Faculty Supervisor:

Mustapha Nour El Fath;Adnène Hajji

Student:

Partner:

GE Renewable Energy

Discipline:

Engineering

Sector:

Manufacturing; Other services (except public administration); Utilities

University:

Université Laval

Program:

Accelerate

Analysing Marine Vessel effects on whales in Boundary Pass in the Salish Sea, British Columbia

Boundary Pass is a busy vessel traffic area of the Salish Sea and is a critical foraging habitat for many cetacean species, specifically Southern Resident killer whales, transient (Bigg’s) and humpback whales. With the shipping lanes passing through this area, whales are at risk of disturbance from underwater noise and, at times, from close vessel proximity. However, DFO has created a seasonal vessel no-go zone (Interim Sanctuary Zone) for whales to reduce acoustic and physical harassment in the region. The first component of this project aims to collect use of visual land-based observation data on occupancy and movement tracks to link these to natural dynamics and anthropogenic sources of disturbance. SRKWs and Humpback whales will be the focus of this work, but all data on whales will be collected. Two hydrophone stations in Boundary Pass will provide acoustic data at key frequency bands known to be important to baleen and toothed whales. We will also monitor the compliance of recreational boats to the no-go zone.

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Faculty Supervisor:

Ruth Joy

Student:

Partner:

Vancouver Fraser Port Authority

Discipline:

Life Sciences

Sector:

Transportation and warehousing

University:

Simon Fraser University

Program:

Accelerate

TechBA: Strategic Design Process Research and Business Innovation Modeling

TechBA is a program run by the Canada-US-Mexico Foundation for Science (FUMEC) and supported by Mexico’s Secretary of Economy, created to help provide access to the most dynamic business ecosystems for small and medium sized technology-?based Mexican businesses interested in expanding into global markets. With eight locations in highly technologically competitive environments, its objective is to position Mexico as a world-?class technology provider. Through this project, TechBA will enable previously selected partner companies to work with the graduate intern, Angele Beausoleil, in order to improve their strategic design methodologies. These companies are currently enrolled the TechBA Vancouver International Acceleration Program. The proposed series of sessions will directly benefit the companies in their national and international business strategies and will allow them to boost their performance in the national and international markets in the near future.

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Faculty Supervisor:

Moura Quayle

Student:

Partner:

TechBA (Vancouver, BC)

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

A mass spectrometry approach to unveil cytoplasmic bacteria interactomes

The innate immune system is the first line of defense of our body against pathogenic bacteria. It uses a sophisticated arsenal of proteins that recognize and fight infection. Certain bacteria, like the food-borne pathogen Salmonella, can enter cells in your body to hide. We recently identified novel immune sensors that allow the recognition of these bacteria in cells but our understanding of their actions remains limited. To better understand it, this project will use a powerful technique called mass spectrometry, to unveil how human proteins interact with Salmonella inside cells to initiate a healthy immune response to clear the infection. Identification of these proteins will develop key knowledge to help us develop future strategies to fight antibiotic resistant bacteria and sepsis.

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Faculty Supervisor:

Leonard Foster

Student:

Partner:

University of York

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Health and Related Sciences & Technology

University:

The University of British Columbia

Program:

Globalink Research Award

Earth Observation Analytics for Ecosystem Restoration Monitoring & Assessment

Restoration of ecosystems that have been degraded or damaged is important to protect biodiversity and can help Canadians to address climate change by storing carbon and reducing the impact of natural disasters. Satellite images are acquired regularly across all of Canada, including remote areas, and the series of images that builds up over time can reveal how ecosystems are changing and help us to monitoring and assess ecosystem recovery and restoration. This Mitacs research project will develop advanced data analysis tools and methods to process the satellite images and allow scientists to track ecosystem restoration progress, improve the environment, and tackle climate change.

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Faculty Supervisor:

Nicholas Coops

Student:

Partner:

Hatfield Consultants

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

The highs and lows of music: dynamic neurophysiological entrainment in live concert experiences

Research into the psychological functions of music is rapidly growing. New technologies and facilities are beginning to allow more extensive research into the effects of music engagement and in more naturalistic settings, such as a live concert. In collaboration with the McMaster Institute of Music & the Mind, we plan to conduct an empirical study at the Large Interactive Virtual Environment (LIVE) Lab, a unique, 106-seat theatre equipped with technology that allows for simultaneous collection of multiple behavioural and neurophysiological measures from performers and audience members. We will measure brain activity (EEG) and physiology (heart rate, skin conductance) of audience members as they listen to a live concert. Using advanced analysis techniques will enable us to investigate how these neurophysiological measures develop over time, are linked to the music, and to subjective experiences of pleasure, absorption, and emotion. This research will contribute towards our understanding of cognitive processes during prolonged and often intense socio-emotional experiences, with implications for work in music and psychology, and applications in health and wellbeing.

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Faculty Supervisor:

Laurel Trainor

Student:

Partner:

The University of Sheffield

Discipline:

Sociology

Sector:

Education

University:

McMaster University

Program:

Globalink Research Award

Enabling Beyond-5G Industrial IoT Through Intelligent Networking in Unlicensed Spectrum

The use of 5G operating in unlicensed spectrum (NR-U) as an enabler for industrial Internet of Things (IIoT)/Industry 4.0 services (e.g., smart power grids, factory automation and connected hospital etc.), is a research area currently generating significant interest from both academia and industry (with vendors such as Nokia and Qualcomm and operators such as Orange actively engaged in this area). The purpose of the proposed project is to enhance reliability and spectrum utilisation and minimize latency in NR-U, by using intelligence informed by physical layer messages and data gathered through spectrum scanning. This type of intelligence will be achieved through the use of reinforcement learning (RL-a type of machine learning algorithm). The RL algorithm will leverage beamforming (a process by which a radio beam is formed in a particular direction) techniques within the frequency channel access procedure to enhance spatial-reuse (multiple devices communicating concurrently, using the same time/frequency resources), and overcome problems such as hidden and exposed nodes within the network.

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Faculty Supervisor:

Raviraj Adve

Student:

Partner:

University of Kent

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Aptamer-decorated magnetic beads targeting T-Cell enrichment for application in CAR-T cell therapy

This project aims at developing a magnetic nanoparticle-based technology that couples novel aptamers (MNP@apt) for targeting T-cell enrichment for CAR-T cell therapy applications. The proposed method offers several advantages to antibody-based isolation of T-cells, namely stability and ability to release captured T-cells. Finally, we aim to develop a method that can be amenable to large-scale industrial production, given access to high capacity oligonucleotide and MNP production as well as downstream functionalization. Galenvs aims at commercialising this technique and make it readily available for CAR-T cell therapy and other clinical research applications. The research exchange will result in a Master’s thesis project and impart essential skills required in biotechnology industry. The intern will receive training in an industry setting and will learn key techniques such as MNP production and characterisation, oligonucleotide aptamer design and synthesis, as well as development of clinically-relevant assays.

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Faculty Supervisor:

Maureen McKeague

Student:

Partner:

Galenvs

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Scenarios of Climate Gentrification in Vancouver British Columbia

Cities need to adapt to climate change in order to prevent extreme impacts. However, the way in which adaptation measures are put in place may have unintended consequences since they increase the value of land around them and may be targeted in currently inexpensive areas. Therefore, these measures could displace vulnerable people into areas which have fewer adaptation measures and are therefore more exposed to climate change, a process known as climate gentrification. This is an under-researched topic and the drivers and impacts of climate gentrification in terms of aggregate risk are unclear. This project will investigate these processes and develop scenarios of how climate gentrification could evolve in the future, using socio-economic and climate data. These scenarios will provide a better understanding of how vulnerabilities may change in the future and will inform climate impact studies.

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Faculty Supervisor:

James Connolly

Student:

Partner:

Newcastle University

Discipline:

Sociology

Sector:

Environmental Science and Technology

University:

The University of British Columbia

Program:

Globalink Research Award

Development of an ex vivo system to assess murine adipocyte differentiation

A precursor cell is a special cell that has the capacity to divide and transform into several different cell types, including bone, liver, skin and fat cells. The fate of a precursor cell is dependent on its surrounding environment and the factors the cell is exposed to. These factors trigger specific changes within the precursor cell that pushes it towards a certain cell type. The biggest change that happens is these factors may switch on or switch off sets of instructions that produce different proteins. This project will investigate a particular set of instructions, called 14-3-3 zeta, that potentially drives the transformation of precursor cells into fat cells. We think that switching on 14-3-3 zeta will promote this transformation. If this is true, this improved understanding will help us develop weight loss therapies for people with obesity.

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Faculty Supervisor:

Gareth Lim

Student:

Partner:

King's College London

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Alfred Technologies : Plongements vinicoles

Alfred Technologies propose une solution de gestion de cave à vin et de sommellerie en agrégeant différentes informations sur les multiples produits de la viticulture. Ainsi, pour permettre une meilleure recommandation des produits, ce stage vise à appliquer des techniques de traitement automatique de la langue naturelle afin de tirer profit des données sur la production vinicole dont dispose Alfred. Plus précisément, une représentation des produits vinicoles sera créée sous forme de plongements qui serviront à mesurer la similarité entre lesdits produits, ainsi qu’à d’autres champs d’applications plus larges tels que la recommandation.

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Faculty Supervisor:

Christian Gagné;Luc Lamontagne

Student:

Partner:

Alfred Technologies inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université Laval

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.