Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30156 projets achevés

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Projets par catégorie

“Playing with Nostalgia” Guide for Researchers of Game Studies, Nostalgia Studies, Sociology, and Psychology

This internship supports the creation of a comprehensive 80-100 page guide titled “Playing with Nostalgia” by a PhD student intern working in the field of game studies and sociology. The guide has one question: how can we use videogames to inspire people to feel nostalgic for, and thus work to preserve, the future? Research suggests that nostalgia is not regressive, but generative — it can give people a renewed appreciation of what they still have in the present, a critical attitude to history, and a speculation for what the future looks like. Videogames are apt tools since they attract over three generations of players and make serious topics accessible. In tandem with two leading game labs: the Technoculture, Art and Games (TAG) lab at Concordia University, Montreal, and the Centre of Excellence in Game Culture Studies (CoE) in Finland, “Playing with Nostalgia” is intended as a guide for researchers who are working on utilizing videogames to inspire nostalgic reflections about the past and future. The audience for this guide are psychologists, games scholars, nostalgia scholars, and sociologists. Its production is timely given that videogames are made to be nostalgic objects in popular media whilst the generative nostalgia literature is emerging.

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Superviseur du corps professoral :

Mia Consalvo

Étudiant :

Partenaire :

University of Tampere

Discipline :

Sociology

Secteur :

New and Digital Media; Entertainment and Media; Technology

Université :

Concordia University

Programme :

Globalink Research Award

Artificial Intelligence for Improved Dosimetric Calculation in Radiotherapy

Cancer treatment by radiotherapy (RT) is essential yet complex, requiring precise radiation doses to effectively target tumors while sparing healthy tissues. This project addresses the frequent challenge of dose discrepancies-differences between the planned and delivered doses-due to factors such as patient anatomy, organ movement, and equipment variability. These inconsistencies can lead to increased toxicity or reduced treatment efficacy if left uncorrected. To tackle this, the project combines Monte Carlo (MC) simulations, known for their high accuracy, with machine learning to develop an advanced, AI-driven quality assurance (QA) system for radiotherapy. While MC simulations are accurate, they are also computationally demanding, often limiting their clinical application. By integrating machine learning, this project aims to streamline dose calculations, making them faster and more adaptable for clinical use. A predictive model will analyze patterns in dose discrepancies and proactively adjust for potential variations, enhancing accuracy and reducing treatment errors. This approach not only improves patient safety and treatment outcomes but also advances a more adaptive, data-driven approach to cancer treatment. By establishing a robust AI-enhanced QA framework, the project aims to set a new standard for precision in radiotherapy, benefiting both individual patients and broader clinical practice.

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Superviseur du corps professoral :

Moussa Tembely

Étudiant :

Partenaire :

Université Grenoble Alpes

Discipline :

Engineering

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Biochar: une solution durable pour la gestion de déchets au Nord-du-Québec

Ce projet se concentre sur la production et la caractérisation du biochar, un matériau carboné aux multiples applications prometteuses, obtenu par pyrolyse de la biomasse dans un environnement pauvre en oxygène. L’objectif principal est de soutenir le développement et l’installation de deux modèles de pyrolyseurs à petite échelle dans des communautés cries, contribuant ainsi à la gestion autonome des déchets organiques locaux, tels que des résidus de bois et des déchets organiques, et à analyser ses propriétés chimiques et physiques pour identifier le meilleur matériau à utiliser comme amendement du sol. Différentes techniques analytiques permettront de caractériser les biochars produits et d’ajuster les paramètres de production, tels que la température et le temps de séjour, afin d’optimiser leurs performances pour des applications agricoles et climatiques durables. Une analyse technico-économique sera également réalisée pour démontrer la faisabilité et la rentabilité du projet, assurant ainsi son potentiel de mise en œuvre à long terme. Un aspect essentiel de ce projet est son impact sur les communautés autochtones du Canada. Ces initiatives pourraient renforcer l’autonomie économique et sociale des communautés cries en leur offrant des outils pour le développement local alignés avec leurs traditions et objectifs environnementaux.

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Superviseur du corps professoral :

Flavia Braghiroli

Étudiant :

Partenaire :

École Centrale Méditerranée

Discipline :

Engineering

Secteur :

Clean Technology

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Globalink Research Award

Integrating Shape Grammar and Transformer Architectures for Automated Text-to-BRep Conversion in Design Automation

This project aims to create a system that can turn simple text descriptions of designs into detailed 3D models automatically. By combining shape grammar rules (which act like guidelines for building shapes) with advanced language-processing AI models called transformers, the system will understand natural language inputs and generate precise 3D representations known as Boundary Representation (Brep) models. For example, if someone describes a “three-story building with large windows and a flat roof,” the system will produce an accurate 3D model of that building. This innovation will make it easier for designers and architects to bring their ideas to life quickly and accurately. The participating institutions will benefit by advancing research in artificial intelligence and design automation, fostering collaboration between experts in computational design and AI, and potentially developing new tools that can be used in industry and education to streamline the design process.

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Superviseur du corps professoral :

Yong Zeng

Étudiant :

Partenaire :

Georgia Institute of Technology

Discipline :

Computer science

Secteur :

Artificial Intelligence; Information and Communications Technology

Université :

Concordia University

Programme :

Globalink Research Award

Doctoral student agency in career imagination: A qualitative case study in mainland China

This project aims to examine how doctoral students in mainland China navigate their agency in career imagination—how they think about and act on their career aspirations—during their studies. It investigates what personal, structural, and socio-cultural factors influence doctoral student agency, and how the interplay of these factors and agency shapes their career envisioning and action in the neoliberal employment landscape. As part of my doctoral thesis, which includes a qualitative case study in both Canada and China, this research will provide valuable insights for the University of Toronto and Xiamen University, the two participating institutions. Findings will help inform evident-based policies on doctoral education, career support, and training programs at both institutions.

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Superviseur du corps professoral :

Sarfaroz Niyozov

Étudiant :

Partenaire :

Xiamen University

Discipline :

Sociology

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Application of Machine Learning to optimize concrete properties, minimizing variability in concrete production

Self-consolidating concrete (SCC) is engineered to facilitate casting and accelerate the construction process while enhancing structural performance and durability. Its high deformability allows SCC to spread and fill formwork under its own weight, eliminating the need for external vibration. The mix design of SCC is critical for achieving an optimal balance between fluidity and stability, thus preventing the separation of its constituents. Traditional design methods can be extensive and time-consuming, requiring careful adjustments of mix parameters to meet specific performance targets. The integration of artificial intelligence to predict the properties of self-consolidating concrete represents a significant advancement, improving the accuracy and efficiency of mix design processes.

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Superviseur du corps professoral :

Ammar Yahia

Étudiant :

Partenaire :

University of Colorado Denver

Discipline :

Engineering

Secteur :

Education

Université :

Université de Sherbrooke

Programme :

Globalink Research Award

Luxury Transport

Luxury Transport Inc. faces significant challenges in optimizing operational efficiency and enhancing service delivery within a highly competitive transportation market. Founded in 1998, the organization has grown from a single vehicle to a diverse fleet of 45, servicing various sectors, including private charters for Whistler transportation, employee transit contracts, and leasing for the film industry. As the company expands, there is a pressing need to streamline key operational processes to better monitor driver compliance, analyze vehicle gas consumption, and improve data management systems. The innovation challenge lies in integrating advanced technology to enhance operational workflows, particularly in tracking driver hours of service and maintaining compliance with regulations.
This project is designed to help Luxury Transport Inc. address these challenges by implementing innovative solutions that go beyond day-to-day business operations. For instance, by introducing an RFID system to efficiently track shuttle passenger statistics and integrating the Samsara GPS software for real-time compliance monitoring, the intern will directly contribute to enhancing the accuracy and efficiency of operations. Additionally, the intern’s involvement in auditing gas consumption through partnerships with Chevron and Husky will help the organization identify cost-saving measures and promote sustainability.
The successful execution of this project will not only bolster the company’s operational capabilities but will also foster a culture of continuous improvement, enabling Luxury Transport Inc. to uphold its strong reputation for providing first-class customer service. To effectively address these innovation challenges, the intern will need expertise in data analysis, operations management, and familiarity with various software applications. Strong analytical skills and the ability to communicate effectively will be critical for collaborating with the operations manager and other team members, ensuring that the implemented solutions align with the company’s strategic objectives and long-term vision for growth.

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Superviseur du corps professoral :

Stephanie Howes

Étudiant :

Partenaire :

Luxury Transport

Discipline :

Business

Secteur :

Manufacturing; Transportation and warehousing

Université :

Kwantlen Polytechnic University

Programme :

Business Strategy Internship

LLM-based social media for pet owners

This project aims to develop a large language model (LLM)-powered social networking platform specifically designed for pet owners and their pets. The goal of this project is to develop a large-scale, AI-powered social networking platform for pets, bringing together pet owners, pets, and charitable organizations. Pet companionship is a growing aspect of Canadian life, especially for those facing isolation or mental health challenges. This project will provide support for these individuals by creating an engaging, inclusive community that enhances emotional well-being.

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Superviseur du corps professoral :

Irene Cheng

Étudiant :

Partenaire :

Petolab

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Alberta

Programme :

Business Strategy Internship

Adaptation of a measuring communication skills program for healthcare practitioners for Colombia

Measuring the abilities of health practitioners to motivate patients to behaviour change is important. Healthcare practitioners are rarely adequately trained on how to engage patients on it. Healthcare practitioners often aim to promote behaviour change by providing unsolicited advice, which is not conducive to promoting behaviour change, due to not considering patient motivation or perceived ability to change. Engaging patients in behaviour change is an important need in the health system due patient behaviour is a key mechanism through which healthcare is managed. This underscores the imperative need to implement interventions aimed at fostering behavioural changes that promote healthier habits. However, the first step in a training process is to measure the skills that practitioners have.
MC Cat is a tool developed by researchers at the Montreal Behavioural Medicine Centre (MBMC). This platform allows to measurement of a set of motivational communication skills that are important in a behaviour change process. The main objective of this project is to develop and validate a translated and culturally adapted version of the MC Cat focused on measuring healthcare professionals’ motivational communicational skills in the context of the Colombian healthcare system.

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Superviseur du corps professoral :

Simon Bacon

Étudiant :

Partenaire :

Universidad EAFIT

Discipline :

Life Sciences

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Rare-Earth Metal–Organic Frameworks with 3D Linkers for Sustainable Separation Processes

This project aims to develop novel rare-earth metal-organic frameworks (MOFs), a type of porous material which by thoughtful design, have tunable properties which can be tailored to target the sustainable separation of valuable and otherwise energy intensive chemical separations such as the separation of hydrocarbons, usually performed by distillation. The project combines the expertise in rare-earth MOF synthesis of the Howarth group at Concordia University in Montreal, with the expertise of Dr. Macreadie at UNSW in Sydney in the synthesis of MOFs with 3D linkers and their applications in chemical separation processes,

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Superviseur du corps professoral :

Ashlee Howarth

Étudiant :

Partenaire :

University of New South Wales

Discipline :

Physics

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Modélisation d’une décharge électrique dans l’air en présence des gouttelettes liquides

Nous cherchons à adapter un modèle afin de modéliser l’initiation et la propagation d’une décharge électrique produite dans l’air avec la présence d’une ou plusieurs gouttelettes d’un liquide. bien que l’étude est fondamentale, elle va nous renseigner sur l’évolution spatio-temporelle de la densité des électrons et du champ électrique qui sont incontournables pour le développement et l’optimisation des procédés plasmas, en particulier la production des nanoparticules et la dépollution des eaux. Nous repondérons en particulier sur la question: comment la taille, la distance interélectrodes, la conductivité électrique et la permittivité diélectrique d’une goutte influencent l’évolution spatiotemporelles des propriétés du plasmas.

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Superviseur du corps professoral :

Ahmad Hamdan

Étudiant :

Partenaire :

Université de Toulouse

Discipline :

Physics

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Divorce in Michoacán: Liberalism and Its Limitations

This project studies the history of the implementation of secular divorce in the western Mexican state of Michoacán in the last four decades of the nineteenth century to study how populations reacted to the transformation of the legal procedure from the religious to the secular sphere in terms of gender ideology, class identity, and religious orientations.

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Superviseur du corps professoral :

Nora Jaffary

Étudiant :

Partenaire :

Universidad Michoacana de San Nicolás de Hidalgo

Discipline :

Sociology

Secteur :

Public Service, Policy, and Governance

Université :

Concordia University

Programme :

Globalink Research Award

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