Innovative Projects Realized

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

29670 Completed Projects

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Projects by Category

Web Page Classification

Web page classification is the process of assigning a web page to one or more predefined categories and it is one of the essential techniques of web mining. Web page classification identifies what type of web page we are extracting data from and can help search engines to effectively deal with and rank web pages into categories. Machine learning and data mining techniques are usually used in web page classification. This project will review, analyze and compare several existing machine learning and data mining methods and select optimal one(s) that can fulfill our goals. For companies like our industrial partner SweetIQ that provide local analytics and insight for large brands and marketing agencies, web page classification techniques can help them to build a healthy mix of listings on search engines, large directories, niche directories, blogs, wikis and so on. Eventually, the technique will provide more insight as to the distribution of the types of web pages their local business listings are found on.

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Faculty Supervisor:

Morad Benyoucef

Student:

Partner:

SweetIQ

Discipline:

Business

Sector:

Finance and Insurance

University:

University of Ottawa

Program:

Accelerate

Coordination Protocols for Heterogeneous Autonomous Vehicles supporting Cooperative Perception

The proposed project is focused on the coordination protocols for vehicles that try to exploit a cooperative perception of the environment. The cooperative perception and sensing allow to improve the safety of autonomous vehicles over the streets. In particular, the joint use of LIDAR, Cameras, radars, and ultra-sonic sensors permits to perceive objects, obstacles and to understand situation of danger in the surrounding environment. When more vehicles can share data and also the perception of other vehicles the potentiality to discover risky situations or to improve the reaction time of autonomous vehicles can increase. The study will focus on the design of coordination protocols that establish how to pre-process data from sensors, how to aggregate data and send to an edge-node or to there vehicles to extend the sensing and environment perception. The project between Concordia and University of Calabria will be an opportunity to combine different skills and background on connected vehicles and vehicular networks (from University of Calabria) and the optimized network control with safety and security features in the distributed control (from Concordia University).

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Faculty Supervisor:

Chadi Assi

Student:

Partner:

University of Calabria

Discipline:

Engineering

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

Renewable Energy: Development in Ukraine based on the experience of Canada.

The research project aims to assess the current situation and future prospects for the transition to renewable energy generation in Ukraine. The need of such transition has become urgent since the Russian invasion of Ukraine which made dependency on fossil fuels one of the key exploits by Russia on the European political arena. As European countries are struggling to transition to renewable energy, Ukraine faces extraordinary challenges because the biggest part of energy generators and distribution systems were destroyed. The experience of Canada – one of the world leaders in the renewable energy generation, presents an invaluable learning resource for Ukraine. This project will assess the advantages and obstacles expanding capacity of each of the five major renewable energy sources: hydropower, wind, solar, geothermal and biomass energy. While the costs of the installations of these energy generators are purely economic, the benefits come from significant implications at the geopolitical level, potentially leading to a global power shift. Our research aims to study these geopolitical changes, assess available resource potential, and delineate the advantages associated with the integration of renewable energy sources. Furthermore, Ukraine’s experience in a rapid transition to renewable energy will provide valuable insights for European nations and Canada.

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Faculty Supervisor:

Tatyana Koreshkova

Student:

Partner:

National University of Kharkiv

Discipline:

Sociology

Sector:

Energy and Utilities; Green/Alternative Energy; Oil and Gas

University:

Concordia University

Program:

Globalink Research Award

Brain cellular regulation of body weight

People with an elevated body mass are at higher risks of cardiometabolic diseases. The prevalence of people living with an elevated body mass has tripled in the last 40 years and this increase shows no sign of slowing down. Interventions targeting caloric restriction fail to lead to sustainable weight loss in the vast majority of cases. A more promising avenue for weight loss exploits the brain satiety mechanisms. For example, all pharmacological therapies effective in weight loss target the brain mechanisms of satiety.
By analyzing the genomes of over 800,000 people of European descent, our project aims to identify genes expressed by cells in the brain that could influence body weight. By doing so, we hope to pinpoint the genes that influence body weight, the brain cells in which they act, as well as the direction of the effect. For example, we could find that a particular gene promotes mass gain when overexpressed in neurons. This type of information is crucial to better understand the mechanisms of chronic weight gain. Alternatively, this project could also help identify molecular targets to help in preventing weight gain and promoting weight maintenance or weight loss.

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Faculty Supervisor:

Benoit Arsenault

Student:

Partner:

Imperial College London

Discipline:

Life Sciences

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

Optimiser la prise de décision financière dans l’industrie des transports publics dans le cadre de la reprise économique de l’Ukraine

Après de nombreuses années de guerre, l’Ukraine est quotidiennement confrontée à la nécessité de restaurer rapidement le réseau ferroviaire après les bombardements et de rétablir la communication avec les territoires dé-occupés afin d’augmenter la croissance économique et d’améliorer la communication régionale.
L’objectif principal de ce projet de recherche à Mitacs Globalink est d’optimiser la prise de décisions financières dans l’industrie ferroviaire, en mettant l’accent sur le transport ferroviaire en Ukraine dans le cadre de la reprise économique d’après-guerre.
Objectifs clés :
– Élaborer des stratégies de prise de décisions financières adaptées à l’industrie ferroviaire ukrainienne sur le modèle des entreprises canadiennes.
– évaluer l’impact des décisions financières sur la reprise économique de l’Ukraine.
Pourquoi la réforme de la planification financière de la compagnie de chemin de fer est-elle importante?
Parce que l’optimisation des solutions financières contribuera au succès de la reconstruction et de la modernisation du réseau ferroviaire en Ukraine, contribuant à la reprise économique.

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Faculty Supervisor:

Tatyana Koreshkova

Student:

Partner:

National Transport University

Discipline:

Business

Sector:

Transportation (excluding aerospace); Finance and Insurance; Energy and Utilities

University:

Concordia University

Program:

Globalink Research Award

Synthèse énantioséléctive de cyclopropane

Au cours des 10 dernières années, de nouveaux catalyseurs de plus en plus performants ont été développés pour la réaction de cyclopropanation impliquant des dérivés diazoïques. La première phase du projet visera à les tester dans la réaction de cyclopropanation d’alcènes impliquant des dérivés de diazomalonates, une classe de réactifs qui s’est avérée très capricieuse et pour laquelle de faibles excès énantiomères sont généralement observés.

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Faculty Supervisor:

André Bernard Charette

Student:

Partner:

Institut National des Sciences Appliquées de Rouen

Discipline:

Physics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Valuable Metals Recovery from Fiber Optics Cable

This research will study an efficient method for extracting germanium from waste fiber optics cables. Germanium is widely used in optical fibers, infrared optics, and solar energy industry. Optical fiber is the major application of germanium. Germanium possesses various properties that can make positive impact on these fields. The demand for germanium will increase with the development of 5G networks, and so will the amount of waste fiber optics cables. Germanium is typically refined from zinc concentrates or coal fly ash. However, the amount of germanium in zinc ores or fly ash is so low (less than 3%) that it becomes the main obstacle to efficient recovery and refining processes for germanium. Therefore, it is significant to develop an efficient method for extracting germanium from low concentration conditions. Moreover, we can also utilize the technology to address the anticipated increase in waste fiber optics cables in the future.

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Faculty Supervisor:

Mansoor Barati Sedeh

Student:

Partner:

National Cheng Kung University

Discipline:

Engineering

Sector:

Sustainability & the Environment; Environmental Science and Technology

University:

University of Toronto

Program:

Globalink Research Award

Cross-functional teams to develop and commercialize AI-powered solutions – Part F

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

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Faculty Supervisor:

Sandy Staples

Student:

Partner:

AltaML

Discipline:

Business

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Queen's University

Program:

Business Strategy Internship

Using Machine Learning to Predict Clinical Outcomes in Users of the Digital Health App, Manage My Pain

ManagingLife developed Manage My Pain, an app that lets users track and analyze their pain for better self-management of symptoms. ManagingLife aims to predict clinical outcomes (e.g. anxiety, depression, pain interference) and identify contributing factors from its 85,000 users. The goal is to create a validated, explainable machine learning model that can forecast clinically relevant outcomes and analyze its attributes.

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Faculty Supervisor:

Ahmad Haidar;Quazi Rahman

Student:

Partner:

ManagingLife

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Stagiaire planification stratégique Marketing

Notre projet se centre sur l’amplification de notre portée marketing pour mieux servir le secteur manufacturier des Maritimes. Avec l’aide d’un stagiaire en MBA et de son professeur, nous analyserons la performance de nos outils marketing actuels, élaborerons une stratégie détaillée axée sur les réseaux sociaux, et établirons un calendrier d’exécution pour les campagnes à venir. Cette initiative vise à renforcer notre visibilité, à améliorer la compétitivité des entreprises manufacturières qui utilisent nos services, et à enrichir la contribution économique de notre région.

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Faculty Supervisor:

Hamadou Boubacar

Student:

Partner:

Unison Workplace Strategies Inc.

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Université de Moncton

Program:

Business Strategy Internship

Extracellular biomarker discovery to develop a specific therapeutic treatment in cancer

Cancer is one of the leading causes of death worldwide with approximately 8 million deaths in 2010. Most cancer treatments lack specificity and affect the whole body, with toxic effects on both cancerous and normal cells. Although new therapies are emerging, targeting cancer cells is a challenge because of the lack of specific markers on cancer cells. Biomark Technologies Inc. has found that the expression levels of the gene coding for the protein SSAT 1 is upregulated in cancer cells. The inhibition of this protein is detrimental for the survival of cancer cells, making it an attractive target for cancer treatment. In this proposal we aim to find novel cancer cell markers in order to develop treatments that will recognize cancer cells and allow internalization of the drug to inhibit the activity of SSAT 1 ultimately causing the death of the cancer.

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Faculty Supervisor:

Horacio Bach

Student:

Partner:

BioMark Technologies Inc (Richmond, BC)

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Cairo’s Public Space Problem: A Historical Overview

“Cairo’s Public Space Problem: A Historical Overview” aims to study the development and de-development of urban sites allowing the free gathering of Egyptians from different classes during the first half of the twentieth century. It explores the different forces at play–local and global, popular and state–in determining the shape of Cairo’s public squares, parks, and other open spaces. This project contributes to our contemporary efforts to grapple with potentially explosive urban problems often exacerbated by climate change by offering a long view onto the question of inhabiting the city. Since Concordia and LSE are urban institutions with a major footprint in their respective cities, the research should be of some significance to these institutions.

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Faculty Supervisor:

Wilson Jacob

Student:

Partner:

London School of Economics

Discipline:

Sociology

Sector:

Social Innovation; Public Service, Policy, and Governance; Sustainability & the Environment

University:

Concordia University

Program:

Globalink Research Award

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