Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
BC
801
MB
663
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825
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8841
ON
9197
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95
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568
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1088
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Projects by Category

Bachelor of Environmental Solutions (BES) Program Development

Laurentian University is partnering with the City of Greater Sudbury’s Development Corporation to develop a new undergraduate program in Environmental Solutions that will provide the talent needed to meet important target’s in the City’s Innovation Blueprint. The Intern supported by Mitacs will play a key role in a needs assessment, market analyses and program development. The new program will produce bilingual graduates with unique and highly sought-after skills that can directly address the workforce needs of the City and Canada, ensuring that there are skilled professionals available to support current and future environmental challenges.

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Faculty Supervisor:

Jacqueline Litzgus

Student:

Partner:

City of Greater Sudbury

Discipline:

Life Sciences

Sector:

Public administration

University:

Laurentian University

Program:

Business Strategy Internship

Single Beam Optical Imaging using High Harmonic Generation and Terahertz as Light Sources

Our collaborative project unites Brazilian and Canadian institutions to drive innovations in high-resolution microscopy and materials characterization. Leveraging cutting-edge techniques like High Harmonic Generation (HHG) and Terahertz (THz) sources, alongside novel imaging methods such as Spatial Frequency-modulated Imaging (SPIFI) and the Derivative Optical Imaging Technique (DOIT), the University of Federal do Paraná (UFPR) in Brazil and the Institut National de la Recherche Scientifique (INRS) in Canada will be able to initiate studies in the field of optical imaging. This collaboration introduces practical methodologies for optical imaging, addressing the economic challenges inherent to scientific research in emerging nations while benefiting INRS, an established research institution, by expanding its international network and collaborating on pioneering research. The project reinforces Canada’s position at the forefront of scientific innovation, particularly in optical imaging and nonlinear optics. Furthermore, the project serves as a model for international partnerships. It not only helps emerging economies like Brazil to collaborate with established research institutions like INRS but also promotes knowledge sharing and global progress in the field of optical imaging. This collaboration is particularly significant as it combines the strengths and resources of both countries to address common research challenges, benefiting the global scientific community.

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Faculty Supervisor:

Tsuneyuki Ozaki

Student:

Partner:

Federal University of Parana

Discipline:

Physics

Sector:

Health and Related Sciences & Technology; Technology

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Leak Detection with Economics-Driven Convolutional Neural Networks applied to German cities and benchmarking with previous studies

This project aims to employ cutting-edge deep learning models to address the critical issue of water leakage in water distribution networks (WDNs). Leakage in WDNs leads to significant water wastage, infrastructure damage, service disruption, and even contamination. The proposed approach leverages Convolutional Neural Networks (CNNs) trained explicitly for optimizing leak detection. Using synthetic datasets that simulate leaks of varying sizes, times, and locations, it is intended to develop a model that excels at economic score-based leak detection. This project’s primary focus is to provide efficient and accurate AI-based solutions for promptly identifying and pinpointing leaks in WDNs across German cities; since Canadian cities are experiencing a high level of water leakages, in the future steps, applying the developed model to Canadian cities. The expected benefit for participating institutions is to enhance the sustainability and reliability of water distribution systems, reduce water loss, and contribute to a more resilient and cost-effective water infrastructure management.

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Faculty Supervisor:

Rebecca Dziedzic

Student:

Partner:

Technische Universität Berlin

Discipline:

Engineering

Sector:

Water; Sustainability & the Environment; Artificial Intelligence

University:

Concordia University

Program:

Globalink Research Award

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

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