Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Hydrothermal Deoxygenation of Triglyceride aided by in-situ Hydrogen Production from Glycerol Reforming

Nowadays, many studies are engaged in improving sustainable aviation fuel (SAF) technologies to advance the utilization of cleaner energy sources and aviation fuels. However, as of today, SAF accounts for less than 1% of jet fuel consumption due to production costs associated with feedstocks, catalysts, and renewable hydrogen. Our project focuses on lowering SAF production costs, particularly addressing the high costs of precious metal catalysts, hydrogen production, and the challenges of utilizing vegetable or waste oils as feedstocks. Our objectives are twofold: First, we develop a catalytic system involving the SAF production process aided by glycerol reforming. Second, we intend to optimize the cost-effective bimetallic Pt-Pd catalysts.
The project offers valuable knowledge on converting waste into marketable products while simultaneously mitigating the environmental impact of our industrial sectors. Compared with conventional jet fuel, SAF has the potential to reduce GHG emissions by up to 94% depending on feedstock and technology pathways. Also, results would be published in top journals in the area. Thanks to the student exchange, investigating research methodologies at both institutions will be developed. The project will lead to stronger collaborations in the future.

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Faculty Supervisor:

Melanie Hazlett

Student:

Partner:

Politecnico di Torino

Discipline:

Engineering

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

Exploring the Methods and Mechanisms of Prosocial Development in Middle Childhood

Prosocial behaviors (i.e., acts that benefit others) appear early in human development and are associated with numerous positive developmental outcomes. Despite decades of research, the mechanisms underlying childhood prosociality remain relatively unclear. To further the field of prosocial development, an international and multi-institutional collaboration led by three prominent prosocial behavior researchers (Kristen Dunfield, Markus Paulus, and Nikolaus Steinbeis) is currently underway. This longitudinal research projects aims to further our understanding of the phenomenon by examining key candidate mechanisms within a large age-range (i.e., 3.5 to 7-year old) in order to identify common and distinct mechanisms underlying three prototypical varieties of prosocial behavior (i.e., helping, sharing, comforting).
Additionally, a sub-project aim of this larger project includes validating a parent-report measure of childhood prosociality in both English and German. A parent-report measure of prosociality will allow researchers to examine prosocial behavior in more diverse samples and to better track the associations between prosociality and positive developmental outcomes.
Considering the importance of prosociality in childhood, a deeper understanding of the phenomenon is critical in our ability to promote prosociality through the creation and implementation of targeted prosocial interventions.

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Faculty Supervisor:

Kristen Ann Dunfield

Student:

Partner:

Ludwig-Maximilians-Universität München

Discipline:

Sociology

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

Optimization of the production of the new biosurfactant ananatoside by the bacterium Pantoea ananatis

Surfactants are chemical compounds used as active ingredients in a large array of products, such as soaps and detergents. However, they can become pollutants and toxicants, and their production is not sustainable (derived from petrochemical processes). One attractive alternative is the use of biological surfactants from microbial origin. We have identified a promising new biosurfactants called ananatosides. This is project will aim in optimizing the production by the producing microorganism, the bacterium Pantoea ananatis, to ultimately develop of commercial process. A collection of strains will be investigated to identify the best producer and the culture conditions will be improved to maximize the yields.

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Faculty Supervisor:

Eric Deziel

Student:

Partner:

Taras Shevchenko National University of Kyiv

Discipline:

Life Sciences

Sector:

Biotechnology; Clean Technology; Biomanufacturing

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Knowledge Architectures: Mapping Virtual Processes of Digital-Musical Heritagization in Formal and Grassroots Jewish Communities in Montreal

This project is an interdisciplinary investigation of the music in online communities or digitally-oriented aspects in Jewish institutions and groups based in Montreal and the surrounding area. This project fully supports the intern’s career growth by stimulating a rich inquiry into the diversity of the intangible heritage of Jewish Montreal; in so doing it is also broadly impactful in that it 1. highlights the importance of intangible cultural heritage in virtual grassroots environments 2. dismantles bounded perceptions of minorities in Quebec by engaging with the inherently transnational and intercultural dynamics of minority communities in the here-and-now; 3. destabilizes polarized conceptualizations of minority-state relations by highlighting minority agency, creativity, and sustainability 4. has an important nuancing and humanizing impact, which is particularly important in a situation in which there has been a record rise in global antisemitism and other hate-oriented (racist, transphobic, Islamophobic, and other) agendas. The project will form a precedent for further collaborative research between the Institute for Canadian Jewish Studies at Concordia University and its arts and music focus under its new director, and the ongoing major research on Jewish cultural heritage at the European Centre for Jewish Music in Hanover, Germany.

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Faculty Supervisor:

Miranda Crowdus

Student:

Partner:

Hanover University of Music, Drama and Media Hannover (HMTMH)

Discipline:

Sociology

Sector:

Life Sciences (not health); Sustainability & the Environment; New and Digital Media

University:

Concordia University

Program:

Globalink Research Award

Estimation de débits de crues saisonniers dans un contexte de changement climatique à l’aide des modèles d’apprentissage machine dans le Québec méridional

L’estimation des forts débits dans un contexte de changement climatique est une tâche essentielle à bien des égards pour notre société. Elle permet en l’occurrence d’analyser l’impact et les stratégies de mitigation face aux aléas naturels comme les inondations. Différentes approches ont été proposées pour répondre à ce besoin dont la modélisation hydro-climatologique (MHC) et l’analyse fréquentielle. Cependant, les effets du réchauffement planétaire ont intensifié le cycle hydrologique et ont restreint l’application de ces approches dites conventionnelles. De plus, la MHC fait également face à des incertitudes associées à la conception même des modèles climatiques, ainsi que hydrologiques (e.g., disponibilité de données, ou l’équifinalité et l’équiprobabilité du jeu de paramètres), sans mentionner l’expertise requise. C’est ainsi que ce projet s’intéresse à appliquer d’autres méthodes comme les modèles d’apprentissage automatique (ML) pour estimer la dynamique de ces forts débits en climat futur dans le Québec méridional, et ce en utilisant les derniers scénarios climatiques, ainsi que les indices climatiques caractérisant un événement d’inondation. Au niveau des retombées, le projet contribuera à l’avancement de l’expertise en matière d’applications des modèles de type ML au domaine des aléas naturels et l’évaluations des Plans de protection des territoires face aux inondations.

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Faculty Supervisor:

Alain Rousseau

Student:

Partner:

Universidad Nacional de Colombia

Discipline:

Engineering

Sector:

Artificial Intelligence; Water; Environmental Science and Technology

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Raman Quantification of Cancer Biomarkers for Early Lung Cancer

The intern will help Biomark Technologies to develop an new optical detection method, which is faster, less expensive and requires less expensive infrastructure by using Surface-Enhanced Raman spectroscopy (SERS), which will be suited to large scale market adoption. By the end of project, the intern will develop: 1) a SERS detection platform that is low cost and optimized for AcAm detection; 2) a data extraction approach that improve the sensitivity towards clinically relevant levels. During the project, the intern will be trained in the industrially relevant areas of optical systems and analytical biochemistry.

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Faculty Supervisor:

Reuven Gordon

Student:

Partner:

BioMark Technologies Inc (Richmond, BC)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Use of Metaheuristics for solving pricing problems arising from vehicle routing problems

The vehicle routing problem is a frequent real-world challenge, especially in transportation and logistics. It involves finding efficient routes for a fleet of vehicles to serve a group of customers while minimizing the overall travel cost. Methods for solving this problem exactly, meaning the solution found is guaranteed to be the best possible, are known to suffer from severe scalability issues even for moderate problems involving a few hundred customer locations, let alone real-sized problems which at times may contain several thousand customer locations. There is a known bottleneck in the exact methods for solving this problem, which involves a solution of a subproblem, that our project aims to address by using heuristic methods. If successful, this approach could significantly increase the size of the problems that can be solved exactly, which could lead to companies and other entities being able to reduce their costs associated with transportation. This project will enhance the research of the participating institutions in combinatorial optimization, a vital real-world field, and further solidify Montreal’s (Concordia’s hometown) position as a hub for this type of research. Additionally, it will promote collaboration between the host and home institutions, paving the way for future projects and research initiatives.

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Faculty Supervisor:

Claudio Contardo

Student:

Partner:

Pontifícia Universidade Católica do Rio de Janeiro

Discipline:

Computer science

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

An improved algorithm for the discrete ordered median problem

The ordered median is an important class of facility location problem that encompasses multiple other relevant location problems as particular cases. Deepening our understanding of this problem, its mathematical properties and proposing novel methodological contributions for its solution lies at the core of this project. We will consider a recent algorithm for this problem developed by the Principal Investigator and two collaborators in this project, recently submitted to a prestigious journal and currently in the second round of review. Improving this method to improve its scalability shall have a positive impact in the field of location problems. This could allow testing various hypothetical scenarios for a decision-maker in short periods of time. Potential applications of this research can be found in the location of hospitals, police stations, sensors, among many others. This research could also lead to the generation of other algorithms of a similar nature.

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Faculty Supervisor:

Claudio Contardo

Student:

Partner:

Pontificia Universidad Católica de Chile

Discipline:

Engineering

Sector:

Artificial Intelligence; Transportation (excluding aerospace)

University:

Concordia University

Program:

Globalink Research Award

The Politics of Drafting Decisions in International Organizations

Those who draft resolutions and treaties in international organizations (IOs) can significantly influence their content and acceptance. It is therefore puzzling that not all states are interested in drafting, so-called “pen-holding”. Veto powers Russia and China barely draft any United Nations Security Council (UNSC) resolutions, and in the African Union (AU), international bureaucrats or independent experts hold the pen. Why (not) hold the pen? Conceptualizing IO decisions as political tools, this project examines whether states draft IO decisions to control their content or to make a statement. States may avoid drafting roles because they prefer sovereignty over IO decisions. However, non-penholders face a dilemma: they can more easily veto or avoid implementing decisions they did not draft, but this diminishes the IO’s reputation, which might not be in their interest. Drawing on the interdisciplinary expertise of Dr. Nicole De Silva (Concordia University) and Dr. Anette Stimmer (University of St Andrews), the project examines decision-making in the UN and AU to discern the factors influencing states’ choices regarding pen-holding. Each research intern will focus on one international organization. Understanding the dynamics influencing IO decisions is important, as these decisions have significant implications for multilateralism in diverse issue areas of international relations.

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Faculty Supervisor:

Nicole De Silva

Student:

Partner:

University of St Andrews

Discipline:

Sociology

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

Annual Evaluation of the Effectiveness of a Family-based Childhood Healthy Lifestyle Program

Living a healthy life is really important to keep kids from becoming overweight and having long-lasting health problems. Generation Health (GH), is a 10-week program for families in British Columbia. Families can join inperson or through the internet. It has shown some good results in getting kids to exercise more and eat better since it started in 2018. Every year, the program gets checked to make sure it’s still working well and to make it even better. Our team is going to look at how well GH works in the real world and how it’s being put into practice. We will ask kids and parents questions before and after the program to see if it’s helping them be more active, eat healthier, feel better, and have a better life. This will help us understand the effectiveness of the program.

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Faculty Supervisor:

Sam Liu

Student:

Partner:

Childhood Healthy Living Foundation

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Atmospheric cold-plasma modification as a sustainable clean technology for improving protein functionality, digestibility and tribological properties

With the increased global protein demand, it is necessary to effectively utilize protein extracted from plants, particularly with limited uses, which has poor digestibility and techno-functional properties. Therefore, the proposed project will aim at developing novel protein ingredients from alternative plant proteins with improved techno-functional properties using innovative, sustainable, nonthermal clean processing technology, thereby improving competitiveness and sustainability in protein industry.

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Faculty Supervisor:

Nandika Bandara

Student:

Partner:

University of Leeds

Discipline:

Life Sciences

Sector:

Education

University:

University of Manitoba

Program:

Globalink Research Award

Computation of inverted singlet-triplet energy gaps by machine learning enhanced computational chemistry methodologies

Ce projet est axé sur l’amélioration de la conception des matériaux, en particulier pour des applications telles que les diodes électroluminescentes organiques (OLED). Des modèles d’apprentissage automatique modernes et des méthodologies spécialisées en chimie quantique sont utilisés pour enquêter systématiquement sur ces matériaux. L’initiative consiste à établir un ensemble de données complet issu d’une sélection minutieuse de matériaux connus, servant de base à la formation de modèles avancés d’apprentissage automatique. Cette approche accélère l’identification de matériaux présentant des applications prometteuses pour les OLED et optimise les routines de simulation en chimie quantique existantes, réduisant ainsi les coûts computationnels. De plus, les méthodologies développées sont conçues pour s’étendre au-delà des OLED, contribuant à l’étude efficace de matériaux divers, tels que ceux utilisés dans les panneaux solaires. L’objectif principal est de rationaliser et d’améliorer le processus de conception des matériaux, favorisant l’efficacité et l’applicabilité dans divers domaines.

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Faculty Supervisor:

Rodrigo A. Vargas-Hernández

Student:

Partner:

Universidad Nacional Autónoma de México

Discipline:

Physics

Sector:

Education

University:

McMaster University

Program:

Globalink Research Award