Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Toward Accurate Bond Breaking: Revising Natural Orbital Functionals in RDMFT

This project aims to improve computational methods in quantum chemistry by developing better ways to calculate molecular properties. The research focuses on enhancing existing mathematical tools (called functionals) to make them more accurate, especially for molecular fragmentation processes. The project will create user-friendly software that will be freely available to scientists worldwide. For the participating institutions, this collaboration will strengthen their research capabilities: The University of the Basque Country (UPV/EHU) will expand its expertise in quantum chemistry methods, while McMaster University will benefit from new international partnerships and improved computational tools. This partnership sets the foundation for future joint research projects between these institutions.

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Faculty Supervisor:

Paul Ayers

Student:

Partner:

University of the Basque Country

Discipline:

Physics

Sector:

Quantum Science

University:

McMaster University

Program:

Globalink Research Award

Scalable Quantum-Enhanced Generative Models for Drug Discovery: Extending QCBM with NQS and CUDA Quantum for Multi-target Inhibitor Design

This project proposes a scalable quantum-enhanced generative model for drug discovery, targeting the design of KRAS inhibitors through the integration of Neural Quantum States (NQS), Quantum Circuit Born Machines (QCBMs), and CUDA Quantum acceleration. By replacing traditional quantum circuits with adaptive NQS representations and extending QCBM capacity to 32 qubits, the framework enables more expressive and efficient sampling of molecular space. Reinforcement-inspired optimization and virtual screening tools are incorporated to refine molecule generation toward biologically relevant candidates. The platform aims to overcome current limitations in scalability and generalizability of quantum models, offering a fast, adaptive, and physically grounded approach to multi-target drug design.

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Faculty Supervisor:

Alán Aspuru-Guzik

Student:

Partner:

National Yang Ming Chiao Tung University

Discipline:

Physics

Sector:

Quantum Science; Pharmaceuticals; Artificial Intelligence

University:

University of Toronto

Program:

Globalink Research Award

Automated Ichnofabric Analysis with Deep Learning for Marine Core Research

This project proposes a completely novel workflow to automate the detection and quantification of bioturbation (i.e., biological sediment mixing by infaunal organisms) in deep-ocean sediment cores using the proven capabilities of neural networks in complex image interpretation. The new technique will enable precise, objective, and efficient quantification and identification of bioturbation types caused by infaunal activity, overcoming current limitations that rely on expert interpretation and require highly specialized ichnological training. The student exchange will bring a talented PhD student from a leading UK university to Western University, creating a valuable new international collaboration. It will expose Dr. Shchepetkina at Western University to a cutting-edge partnership in Artificial Intelligence (AI) with a world expert (Dr. John) at a top UK institution. The student is a recipient of the prestigious HSS Principal’s Doctoral Research Studentship—a scholarship awarded only to top students—and will contribute their expertise to Western University’s ongoing research for four months. This collaboration benefits Western University by enhancing its capacity in AI-driven science and establishing direct ties with world-leading AI knowledge from the UK. For the UK institution, it provides a unique international experience for a top student and strengthens global academic cooperation to advance critical research.

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Faculty Supervisor:

Alina Shchepetkina

Student:

Partner:

Queen Mary, University of London

Discipline:

Earth science

Sector:

Education

University:

The University of Western Ontario

Program:

Globalink Research Award

3D-Printed Thermoelectric Metamaterials

Thermoelectric materials present a promising solution for sustainable energy generation, offering the potential to complement existing energy systems in everyday applications. However, the performance of conventional thermoelectric materials is largely constrained by the intrinsic properties of their bulk constituents. To overcome these limitations, reducing material weight while enhancing efficiency, adaptability, and multifunctionality is essential.
One emerging strategy involves engineering the micro- and meso-architectures of thermoelectric materials. By tailoring and optimizing their internal geometries, it becomes possible to significantly improve performance characteristics beyond what is achievable with bulk materials alone. Although the rational design of such complex micro- and macrostructures is increasingly feasible through computational methods, the fabrication of these architected materials—particularly those with intricate and precise geometries—remains a major technological challenge.
This project seeks to address this gap through a collaborative research effort between McGill University and the Pohang University of Science and Technology (POSTECH). The aim is to develop advanced manufacturing approaches and structural designs for next-generation thermoelectric metamaterials, enabling breakthroughs in both performance and practical deployment.

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Faculty Supervisor:

Hamid Akbarzadeh

Student:

Partner:

Pohang University of Science and Technology

Discipline:

Engineering

Sector:

Advanced Manufacturing; Energy and Utilities

University:

McGill University

Program:

Globalink Research Award

L2M – BIM-Enabled Multi-Criteria Decision-Making: Towards Efficient Building Element Selection

The project focuses on creating a new software tool that combines multi-criteria decision-making (MCDM) methods with BIM, a 3D digital modeling system used in construction. This tool will assist architects, engineers, and builders in selecting materials and elements by evaluating multiple criteria, such as cost, durability, and their environmental impact. By addressing challenges like too much data and fragmented decision-making, the tool aims to streamline workflows and reduce errors.
For the partner organization, the tool is expected to enhance project efficiency, lower costs, and improve the ability to meet sustainability goals. This could lead to more successful projects that are also better for the environment, aligning with market demands for greener construction practices.

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Faculty Supervisor:

Gursans Guven Isin

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program:

Business Strategy Internship

L2M – Link Between Worlds

Link Between Worlds is a project that combines play therapy techniques and teaching creative expression to Indigenous peoples and communities that typically are not given a voice. The objective of Link Between Worlds, through an intensive/retreat format, is to teach and provide a safe space for indigenous people to grow and learn skills in storytelling/filmmaking, creating an outlet for image discovery, cultural retention, career ownership, entrepreneurship and healing through storytelling. Delivery in a traditional “with the land” setting encourages familiarity and group participation. Participants will acquire many tools to embark on a refreshed perspective on life.
The challenges we are facing are rooted in the differences between each indigenous community from a presentation/facilitation perspective. Additional challenges include determining which market would be our best primary customer, Governments/Bands, Institutions/Treatment centers or individuals. Lastly, scalability is another challenge we seek to overcome.
Launch will provide insight into our marketing strategy, aid in constructing our pilot offering, and assisting in determining our primary targets.

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Faculty Supervisor:

Jeff Larsen

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Business Strategy Internship

Surveillance permanente de l’état des machines opérant àvitesse et charge variables

Le changement de comportement dynamique des machines tournantes (ponts roulants, éoliennes, robots) en fonction de la vitesse et de la charge se confond facilement avec un changement d’état de l’équipement, ce qui déclenche souvent de fausses alarmes sur des machines saines. De plus, la plupart de ces machines opèrent à très basses vitesses, ce qui cause des problèmes sur la sélection de capteurs efficaces et sur les normes inexistantes dans ce genre d’application. Le projet proposé a pour objectif le développement d’une méthode de diagnostic d’endommagement de machines opérant en régime variable et la conception d’une chaîne de mesure permettant la surveillance en ligne de systèmes rotatifs. Une première phase sera allouée à l’étude de faisabilité, le choix de l’architecture, et la mise en place de la chaine d’acquisition. Une deuxième phase consistera à développer un système d’autodiagnostic en mettant en œuvre les techniques d’intelligence artificielles pour définir des seuils de sévérité à ne pas dépasser en tenant compte de la vitesse et la charge appliquées. Les travaux proposés permettront de détecter l’état de dégradation de la machine, d’obtenir un gain de productivité en diminuant les temps d’arrêt et d’avoir une diminution du risque d’accident lors de l’opération des machines.

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Faculty Supervisor:

Marc Thomas

Student:

Partner:

Betavib Inc (Vaudreuil Dorion, QC)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Applied AI Solution Development

This project aims to help Rogers Communications bring real-world AI and Generative AI solutions to life across Business units like Customer Care, Network, HR, Rogers Business. A team of eight interns from the University of Waterloo will work with Roger’s Data & AI Strategy team to turn identified promising use cases into working solutions. Their focus will be on building small-scale models (called MVPs), testing them with users, tracking their performance, and preparing them for wider use. The project will speed up Roger’s ability to adopt AI in a responsible and scalable way, while also giving students hands-on experience in a real business setting. Ultimately, it helps Rogers improve service, efficiency and innovation, while training the next generation of AI talent.

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Faculty Supervisor:

Norah McRae

Student:

Partner:

Rogers Communications Inc.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Business Strategy Internship

TRLUP – Stretcher Aid

Our Stretcher Aid is a new approach to increasing ergonomics and overall care for both caregiver and patient. Our product is designed to create more usable working space for Nurses and Caregivers, allowing for more ergonomic choices during emergency situations. With the support of New Ventures BC, we will be able to utilize the resources available to advance project development while gaining the knowledge to secure IP and structure a successful business around it.

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Faculty Supervisor:

Neera Vohra

Student:

Partner:

New Ventures BC

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

British Columbia Institute of Technology

Program:

Business Strategy Internship

L2M – Neuro-integrated carbene coatings

Brain-Computer Interfaces (BCIs) are a revolutionary technology with the potential to significantly improve the lives of individuals with neurological disorders, but their long-term use is severely limited because the implants often fail within a short period. This project, a collaboration with Queen’s University, aims to solve this critical problem by developing and commercializing “Neuro-Integrated Carbene Coatings” (NICC), a groundbreaking new material designed to create an exceptionally stable and long-lasting bond between the BCI electrode and the brain tissue. By pioneering the use of N-heterocyclic carbene (NHC) chemistry, the project will create a coating that is both biocompatible and durable, minimizing the body’s immune response and preventing the material degradation that causes current devices to fail. The expected benefit to the partner organization is the validation and development of a clear commercialization strategy for this transformative coating technology, positioning it as a vital solution for the rapidly growing BCI market and ultimately enabling the creation of a new Canadian deep-tech venture.

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Faculty Supervisor:

Cathleen Crudden

Student:

Partner:

DMZ Ventures Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Business Strategy Internship

L2M- AI Lab Assistant

This project initially targets drug discovery labs, with long-term plans to expand into broader biomedical research. As AI becomes integral to scientific work, we aim to build a custom AI assistant that goes beyond basic chat support, capable of running code, executing ML/DL pipelines, and assisting with lab-specific tasks.

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Faculty Supervisor:

Silvia Cardona

Student:

Partner:

North Forge

Discipline:

Computer science

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program:

Business Strategy Internship

L2M – Artificial Intelligence Integrated Medical Media Suite

The Artificial Intelligence Integrated Medical Media Suite (AIIMMS) is a smart, AI-powered crash cart designed to support emergency response teams during coding events. By integrating live video, audio, patient biometrics, and patient electronic health record data into a centralized interface, AIIMMS can help reduce the cognitive load and enhance clinical decision-making in real time. The system is powered by an AI model trained to interpret real-time video and audio data, provide guidance in determining a differential diagnosis, and assist in adhering to ACLS protocols. By streamlining the coding workflow with data-driven systems, AIIMMS aims to achieve a faster Return of Spontaeneous Circulation (ROSC) time to improve patient outcomes in hospitals such as SRI.

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Faculty Supervisor:

Brian Courtney

Student:

Partner:

DMZ Ventures Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Sunnybrook Research Institute

Program:

Business Strategy Internship

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