Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

L2M – FishNet Map: A Satellite-Based Fishing Hotspot Mapping Service

The FishNet Map project aims to create a practical, user-friendly mapping service that helps identify fishing hotspots in near real-time using satellite observations and environmental data. By integrating multi-source satellite observation with real-time weather and sea-state forecasts, the platform pinpoints optimal fishing zones, predicts hotspot shifts, and flags risks such as storms or restricted areas. The project will focus on building an early demonstration version of this service for a pilot region in the North Atlantic, with the long-term goal of scaling it across Canadian waters and beyond. This project addresses a major challenge in the fishing industry: inefficient and time-consuming searches for fish that increase fuel costs, greenhouse gas emissions, and safety risks for crews. By providing data-driven guidance, FishNet Map will help reduce time spent at sea, lower operating costs, and improve decision-making for fishers and regulators alike. The project also supports sustainability efforts by reducing unnecessary fuel use and promoting responsible fishing practices. For the partner organization, this initiative demonstrates how cutting-edge satellite and ocean data can be translated into actionable tools. It will help validate the commercial potential of such a service, establish initial customer connections, and set the foundation for a scalable business model.

Voir la description complète du projet
Superviseur du corps professoral :

Masoud Mahdianpari

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Aquaculture and Fishing; Environmental Science and Technology; Artificial Intelligence

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

L2M – Flow

The goal of this project is to validate and improve the scientific, clinical, and user-centered value of Flow’s AI-powered features in preparation for commercialization. The focus will be on developing a structured evaluation framework, conducting hands-on testing, and iterating based on clinician feedback. This complements the customer discovery and business model testing activities of the Lab2Market Validate program

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Superviseur du corps professoral :

Alexandre Hudon

Étudiant :

Partenaire :

DMZ Ventures Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Business Strategy Internship

L2M – Shearwave Labs

This project explores new ways to make medical imaging faster, more accessible, and more efficient in emergency and critical care settings. It aims to address the broader challenge of improving how clinicians can quickly obtain vital diagnostic information when every minute matters. The work combines insights from advanced imaging, computational modeling, and healthcare innovation to develop and assess novel approaches that could enhance patient care and system efficiency. At this stage, the focus is on early research, design exploration, and understanding the needs of healthcare providers and patients. The long-term goal is to contribute to more timely, affordable, and widely available diagnostic technologies that strengthen emergency response and improve outcomes across healthcare environments.

Voir la description complète du projet
Superviseur du corps professoral :

Alison Malcolm

Étudiant :

Partenaire :

DMZ Ventures Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

Etude sur la construction d’un stade de Baseball à Shawinigan

L’objectif de ce stage est de réaliser une étude concernant les conditions d’accueil et de construction d’un stade de baseball dans la ville de Shawinigan. Ce stade de baseball devrait servir autant à l’équipe locale de niveau provincial (Les Cascades) que la communauté locale.

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Superviseur du corps professoral :

Romain Roult;Jean-Sébastien Dessureault

Étudiant :

Partenaire :

Club Baseball Cascades Shawinigan;Ville de Shawinigan

Discipline :

Sociology

Secteur :

Public administration

Université :

Université du Québec à Trois-Rivières

Programme :

Business Strategy Internship

Applied AI for EdTech: Automated Reporting and Analytics in VidaNovaVLE

Fenix Alma Solutions Inc. is a Canadian EdTech company that develops VidaNovaVLE™, a purpose-built, partner-driven Virtual Learning Environment designed specifically for medical and health sciences education. The platform supports curriculum management, assessment, clinical scheduling, competency-based medical education, and accreditation reporting for leading institutions across North America. As the number of institutional partners grows, the volume and complexity of data being generated within VidaNovaVLE™ has increased significantly. Partner schools rely on dashboards and analytics to make informed decisions about curriculum delivery, learner progression, faculty performance, and accreditation compliance. Currently, much of the data aggregation and dashboarding work requires manual configuration, custom report building, and ad hoc queries. This approach is time-consuming, limits scalability, and places a heavy operational burden on both the Fenix Alma team and partner institutions. The innovation challenge is to introduce AI-driven automation to make data visualization, reporting, and dashboard generation more intelligent, efficient, and scalable. Specifically, the company seeks to leverage machine learning and natural language processing to (1) automate the generation of meaningful dashboards tailored to institutional roles and objectives, and (2) enable dynamic, conversational querying of data to support evidence-based decision-making at all levels of a medical school.This project goes beyond day-to-day operations by laying the foundation for a new AI-powered analytics layer within VidaNovaVLE™, representing a significant product evolution. Rather than manually producing static reports, the envisioned solution will proactively surface insights, reduce administrative overhead, and enable partner institutions to focus more on educational impact.

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Superviseur du corps professoral :

Haruna Isah

Étudiant :

Partenaire :

Fenix Alma Solutions Inc.

Discipline :

Computer science

Secteur :

Education

Université :

Sheridan College Institute of Technology and Advanced Learning

Programme :

Business Strategy Internship

Development of room-temperature exciton-polariton quantum simulator

This MITACS project between the University of Waterloo (UW, host supervisor: Prof. Na Young Kim) and Yonsei University (YU, home supervisors: Prof. Jong-Souk Yeo and Prof. Chae-Yeun Park) aims to develop a room-temperature exciton-polariton quantum simulator. The room-temperature system can contribute to solving a complex many-body problem, since it does not require cryogenic cooling that limits the scalability of quantum information processors. The exciton-polariton quantum simulator is a solid-state platform that can be fabricated using conventional deposition/lithography techniques. Since the exciton-polariton is a bosonic quasiparticle that also interacts strongly with matter, both bosonic and fermionic dynamics can be emulated. The room-temperature operation can be demonstrated by utilizing transition metal dichalcogenides that have exciton binding energies larger than 25.9 meV. We plan to theoretically understand and design the simulator to describe the Bose-Hubbard Hamiltonian, fabricate and characterize a unit exciton-polariton system, and correlate the experimental results with the defined Hamiltonian. This project will be successfully conducted leveraging the UW’s outstanding expertise in quantum simulation and YU’s extensive experience in nanomaterials engineering. The collaboration between the UW and YU, which was officially initiated by signing a Memorandum of Understanding (MOU), will be further strengthened and expanded thanks to the MITACS project.

Voir la description complète du projet
Superviseur du corps professoral :

Na Young Kim

Étudiant :

Partenaire :

Yonsei University

Discipline :

Physics

Secteur :

Education

Université :

University of Waterloo

Programme :

Globalink Research Award

L2M – A2O

Direct lineage reprogramming (DLR) is the newest advance in the field of cellular reprogramming. It is the forced conversion of one mature cell type to another, without the need for a pluripotent intermediate, directly at the site of injury or disease. We have developed DLR technology to convert astrocytes into new oligodendrocyte lineage cells (iOLCs) for the treatment of central nervous system (CNS) disease and injury. To ensure the success of our technology in clinical trials and increase the likelihood of commercial viability we will source input from stakeholders and key opinion leaders in four main areas. First, we will validate the market fit and clinical need for our technology in our proposed beachhead indication, neuromyelitis optica, through clinicians and patients. Second, we will obtain insight into possible delivery methods (AAV, RNA vaccines, LNPs) for our technology. This will be assessed with groups specializing in these methods to determine optimal efficacy and safety parameters but also with clinicians and patients to identify administration preferences. Additionally, we will meet with regulatory bodies and intellectual property experts to understand the regulatory landscape, clinical trials space and licensing agreements. Finally, we will connect with business strategists and pharmaceutical companies (end buyer) to come up with a market plan and licensing model that supports our vision of a platform technology. As a result of this project we will be able to make evidence-based decisions that de-risk our technology, accelerate our path to clinical trials, and position us for successful partnership negotiations.

Voir la description complète du projet
Superviseur du corps professoral :

Jeremy Sivak;Maryam Faiz

Étudiant :

Partenaire :

DMZ Ventures Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University Health Network

Programme :

Business Strategy Internship

Towards Reliable Vibration Design of Mass-Timber and Timber-Concrete Floors: Data, Models, and Practical Guidance

The proposed project studies the vibration behaviour of innovative mass timber floor systems, focusing on cross-laminated timber (CLT) floors supported by CLT beams and timber-concrete composite (TCC) floors with notched connections. Using laboratory testing and numerical modelling, the research aims to enhance the understanding of how these floors respond to dynamic loads, including the effects of non-structural components such as concrete toppings, which can add mass and damping. The project will generate validated experimental data and finite element models to develop design guidelines that improve vibration serviceability, occupant comfort, and structural performance. Collaboration between Canadian and Italian institutions strengthens the research by combining expertise and access to advanced facilities. The project aligns with Canadian CSA O86 standards and European Eurocode 5 design provisions, helping harmonize approaches to timber floor vibration across North America and Europe. This collaboration supports the advancement of mass timber design standards, expanding market acceptance of innovative floor systems and enhancing the capacity of participating institutions to address vibration challenges in sustainable construction. Through joint supervision, knowledge exchange, and shared resources, the project aims to establish international partnerships and contribute to safer, more efficient timber buildings.

Voir la description complète du projet
Superviseur du corps professoral :

Ghasan Doudak

Étudiant :

Partenaire :

University of Trento

Discipline :

Engineering

Secteur :

Education

Université :

University of Ottawa

Programme :

Globalink Research Award

TRLUP– Zester

Many Canadian companies and researchers struggle to find affordable, secure, and easy-to-use data labelling tools. Most existing platforms are foreign-owned, which can cause privacy issues and make it harder for small teams to work with sensitive information. It also prevents us from building local expertise and jobs in AI data management. Zester aims to solve this by developing a secure and scalable data labelling platform built entirely in Canada. The first version will focus on agricultural data because Saskatchewan has a strong base in agri-tech and applied research. The Minimum Viable Product (MVP) will support both manual and AI-assisted labelling, and it will be built in a way that can later support a no-code automation feature so users can design their own workflows easily. For Saskatchewan Polytechnic, this project creates a bridge between classroom knowledge and real-world software development challenges. For North Forge, it shows how a locally built data tool can grow into a larger startup opportunity. By the end of the internship, the project will deliver a functional MVP, a detailed technical and business report, and a go-to-market strategy. This project helps Canada strengthen its AI infrastructure while keeping data safe and jobs local.

Voir la description complète du projet
Superviseur du corps professoral :

Terry Peckham

Étudiant :

Partenaire :

North Forge

Discipline :

Computer science

Secteur :

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

Université :

Saskatchewan Polytechnic

Programme :

Business Strategy Internship

TRLUP – LinkedWell Companion: Bridging Families and Clinicians Through Intelligent Care Communication

The LinkedWell Companion project is creating an intelligent and compassionate digital tool that helps families and healthcare providers communicate more clearly and stay connected beyond short medical appointments. In many clinics, appointments last only a few minutes, and patients often leave with unanswered questions, forgotten details, or confusion about what to do next. LinkedWell aims to bridge that gap by transforming brief visits into continuous, personalized care conversations.
Through a simple, friendly interface, families can record their symptoms, medications, allergies, and health concerns before their appointment. Afterward, they can review easy-to-understand summaries, receive reminders for vaccinations and follow-ups, and access personalized educational materials that explain medical instructions in clear, accessible language. Parents can also store their children’s medical history and share essential details( such as allergy alerts or upcoming vaccinations) with schools or caregivers when needed, helping ensure safety and continuity of care.
LinkedWell Companion uses artificial intelligence to organize and summarize information so that both families and clinicians can focus on what matters most: understanding, empathy, and decision-making. The system supports multiple languages and cultural contexts, ensuring that newcomers and diverse communities receive equal access to clear, reliable health communication.
This project represents an important step toward more connected and equitable healthcare in Canada. By improving how information flows between families and clinicians, LinkedWell reduces stress, saves time, and supports earlier interventions. Its development will lead to a functional prototype that can be tested in real-world settings, advancing digital innovation in healthcare and demonstrating how technology can make care more human, accessible, and continuous. Ultimately, the project envisions a future where every patient, regardless of background or language, feels informed, confident, and supported in their care journey.

Voir la description complète du projet
Superviseur du corps professoral :

Terry Peckham

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

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

Université :

Saskatchewan Polytechnic

Programme :

Business Strategy Internship

TRL ^ Multispectral Sensor Development

This project aims to develop a cost-effective imaging system for the early detection of crop diseases, with a particular focus on Fusarium Head Blight which is a disease responsible for an estimated $1 billion in annual losses to Canadian agriculture. Fusarium Head Blight produces deoxynivalenol (DON), a mycotoxin that renders grain unusable at concentrations as low as 2 ppm. While emerging precision agriculture technologies such as selective harvesting and variable rate spraying offer promising solutions to reduce these losses, they depend on fast, affordable, and scalable disease identification systems that can operate effectively in field conditions. Existing technologies, such as hyperspectral sensors, perform well in controlled environments but struggle in field conditions. Meanwhile, commercially available multispectral scanners lack the infrared bands necessary for comprehensive crop health analysis. As such, there is an urgent need for a new imaging solution tailored specifically to agricultural applications. The anticipated benefits of this project include faster, more scalable, and cost-effective disease detection, enabling farmers to take timely action and reduce crop losses. It also supports the broader adoption of precision agriculture practices, contributing to more sustainable and resilient farming systems across Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Abdul Raouf

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

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

Université :

Saskatchewan Polytechnic

Programme :

Business Strategy Internship

TRLUP–The Nexagon

The Nexagon project aims to develop an innovative neck collar designed to help prevent concussions in sports like hockey by reducing rapid head and neck movements during impact. Inspired by natural structures such as the honeycomb, the collar will be lightweight, comfortable, and effective in absorbing and redistributing forces that can cause brain injuries. Using 3D printing and computer-aided design, the team will create and test an improved prototype that combines safety, comfort, and performance. Through this project, Saskatchewan Polytechnic will gain valuable research and development experience in advanced manufacturing and sports safety technologies, strengthening its role as a leader in applied innovation and industry collaboration across Western Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Leon Lipoth

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

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

Université :

Saskatchewan Polytechnic

Programme :

Business Strategy Internship

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