Innovative Projects Realized

Personalized Market Access for Personalized Medicine

This project will help will bring forward new methods for how to bring personalized medicine to more patients in Quebec and Canada. Hopefully, the ideas put forward in this project will allow pharmaceutical companies, as well as the consulting firms that help them, to achieve reimbursed by the government. Personalized medicine will only grow in the years to come because it enables better detection and more effective treatment of diseases and conditions. Altogether, this project will help patients receive better care, it will help governments have a healthier population and it will make it simpler to bring these new therapies to patients.

Supporting Viet Nam’s efforts toward seahorse conservation:assessing and mitigating threats to a heavily traded marine species

My project will investigate the status of wild seahorse populations in Southern Viet Nam to generate important information on both seahorse biology and seahorse fisheries. Seahorses are unique creatures that are vulnerable to habitat depletion, pollution, and, sadly, excessive fishing by humans. An estimated 20 million seahorses are traded annually for use in traditional medicine, aquarium displays, and souvenirs. Viet Nam is one of the main sources of seahorses for trade, but there is no information on the sustainability of this exploitation. Seahorse exports have been banned from the country, which has significant social, economic, and environmental impacts. By collecting new information on seahorses, my research will increase Viet Nam’s ability to conserve these vulnerable fish, and contribute to a national management plan in support of sustainable seahorse populations.

Fomulation of alkali-activated materials based on Quebec industrial waste by rheological, mechanical and durability analysis in different climates

Portland cement employed in conventional concretes is responsible for 5-7% of the world’s carbon dioxide. Alkali-activated binders appears as one of the promising alternative materials to substitute the use of Portland cement in concrete. Despite this, there are still technical obstacles to be overcome for industrial use. The main gaps include the production of alkali-activated concretes with mechanical and rheological performance suitable for current construction technology application (workability) and the production of durable materials especially in a variety of more extreme environments. Therefore, this project aims at the development of alkali-activated materials in Quebec, with local residual materials, which can be applied in concretes, that are efficient and durable in the Canadian climate. For this, the research will be based on rheological, mechanical and durability behaviors analyze of the materials. Durability tests will focus in evaluate resistance to chemical attack, to freeze-thaw cycles and analysis of pore structures.

Rich, Immersive AR/VR Communication

Face-to-face communication provides substantial benefits over traditional remote communication via video and voice: the expressivity of body language, spatial grounding in a common physical space, access to physical tools and objects, and much more. For many collaborative tasks, face-to-face communication is considered indispensable, yet meeting in person can be rendered infeasible by any number of factors, such as cost, time, urgency, or pandemics.
Simultaneously, the recent pandemic has forced people to explore new ways to enjoy shared experiences such as concerts and sporting events. However, video conferencing tools used for this purpose lack the interactivity and social aspects which make such experiences immersive.
The broad goal of this research is to investigate ways to bring some of the strong benefits of face-to-face communication into remote communication, via the use of augmented and virtual reality technology. AR/VR technologies have the potential to unlock far richer and more immersive communication compared with traditional video or voice calls, yet that potential has not been fully realized in today’s systems.
We propose researching novel communication technologies built atop AR/VR platforms across two streams: bridging the physical and virtual environments in mixed-reality calls, and building mixed-reality crowd experiences based on scalable immersive video delivery.

Contributions to build a theory of land value

The main objective of this research project is to contribute to construct a theory of urban land value, which accounts for the multiplicity of factors that affect the way land is valued in the city.
To achieve the main objective, the different proposed theories of value will be compared from anthropology with contemporary theories about land value, in order to base a state of the art of a new theory of land value.
With this objective, the ideas of political economy, of the classical tradition, on land value that serve as a theoretical and reference framework.
On the other hand, it is necessary to deconstruct the economist view of the value of urban land through a historical review and the reconstruction of an alternative look that allows see the gaps left by traditional economic theories of land value.
And in this way to understand, from another perspective, the urban transformations that take place currently in cities and identify other ways in which property ownership is presented land, beyond individual private property and as exchange commodity.

At-Risk Birds Critical Habitat Modeling for Strategic Planning on Port Hawkesbury Paper’s Crown License Lands

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Machine learning approach for calculating the viscosity of ternary nitrate based molten salts

The growing production of clean electricity from solar resources has led to employ molten salts as heat transfer fluids for thermal energy storage technologies. Thus, the study of thermodynamic and physicochemical properties of multi-component molten salts are critical factors for the design of such units. From one side, binary salt mixtures’ thermodynamic properties are already accessible through critically assessed data. However, the evaluation of physicochemical properties, such as viscosity, requires experimental measurements for specific molten salt compositions. Computational models based on machine learning techniques intend to accelerate the time invested in experimental procedures to simulate and, even more, predict data with high accuracy. Thus, in this work, three machine learning techniques are proposed to predict the viscosity of nitrate-based ternary molten salts. Training data for LiNO3, NaNO3, and KNO3 (unary, binary, and ternary systems) will be collected from the literature to train Decision Trees, Support Vector Machines, and Artificial Neural Networks. Then, the coefficient of determination and the root of mean square error will be calculated to evaluate and compare the performance of models.

Informative Art Simulations and Games for Improving Energy Awareness in the Home

While energy conservation in the home is an important part of reducing our ecological footprint most people do not understand or even realize how their energy consumption works and how they can manage it. In-home displays offer the opportunity to help become more aware, but often do not fit into a home’s aesthetics, typically relegated to an unobvious location after the novelty “wears off”. They also provided little opportunity for interaction and learning. We are exploring how interactive, aesthetically motivated displays, and small energy use simulations as simple games, may prove more engaging and effective in helping people learn, recognise and be more aware of energy use patterns in the home.

Eudemian Internship

Eudemian Ventures is a top-performing Silicon Valley venture capital firm that supports innovative entrepreneurs by investing in early-stage software startups. Typical focus areas are Business-to-Business Software-as-a-Service (B2B SaaS), Consumer, Fintech, Marketplaces, eCommerce, AdTech, Digital Health, and Artificial Intelligence (AI).

The firm is now strategically expanding its presence to Canada by establishing an office in Toronto with the intention of growing its associate base by tapping into the local talent pool. This aligns with Eudemian Ventures’ objective of establishing a global presence to support innovation ecosystems at scale.

Projet supervisé – Implantation d’une stratégie numérique pour rhum

Rhum est une agence de gestion des ressources humaines et d’acquisition de talents spécialisée dans le domaine de la créativité et de l’innovation. Il peut être difficile pour une petite entreprise offrant des services interentreprises de développer sa présence en ligne pour y acquérir de nouveaux clients, surtout lorsqu’elle œuvre dans un marché niche. Le but de ce projet est donc d’y mettre en place une stratégie numérique basée sur le contenu.

Reducing Barriers in New Brunswick – KargoROO

KargoROO (kargoroo.ca) is a local startup that offers an innovative solution for residents in rural and urban areas to access goods and services while reducing their carbon footprint. Our mission is to help promote sustainable and eco-friendly consumption habits while supporting local merchants and optimizing transportation efficiency with our crowdsourcing app, ROO. This project will support business optimization to further help to reduce carbon emissions and transportation costs for our users. By connecting local merchants and consumers through our app, we are able to reduce the number of individual trips required for each delivery, which helps to reduce congestion on the roads and lowers transportation costs for our users.

Enhancing Matching and Diversity in Health Research Projects through Textual Interpretation and Machine Learning

The project aims to improve the matching process in health research projects by leveraging machine learning and textual interpretation. It focuses on accurately connecting research projects, community organizations, and participants. The project addresses challenges such as diversity and inclusion by interpreting metrics, generating synthetic participant profiles, and utilizing NLP techniques for label association. By creating matching filters and relevance models, the project enhances the accuracy and relevance of pairings. The ultimate goal is to promote diversity, inclusivity, and the overall quality of health research outcomes.