Innovative Projects Realized

Development of a unique natural product catalogue through chemical characterization of Canadian wild plants

The proposed research aims to investigate and chemically characterize Canadian wild plant species. Natural products from plants are valuable to many industries and for promoting health and wellness. Certain plants that flourish under the conditions found in the Canadian prairies are likely to be rich in valuable chemical compounds. The research will be conducted by a team that includes young adult science students, in collaboration with a new biotech company in Canada. This research, conducted in a state-of-the-art laboratory, promises to advance our understanding of Canadian native plants, promote health and wellbeing, while stimulating economic growth through natural product development. By chemically characterizing these plants, products can be developed that promote better health and well-being for Canadians. The project will benefit the biotech companies by providing them with valuable knowledge and potentially lead to the creation of innovative products that harness the power of Canadian plants.

Plan de gestion des eaux pluviales de la Ville de Pointe-Claire dans un contexte de changements climatiques

La Ville de Pointe-Claire fait face à des défis croissants liés aux pluies extrêmes, qui causent des refoulements d’égouts, des inondations de surface et une hausse des réclamations citoyennes. Son réseau de drainage, conçu dans les années 1960, est désormais inadapté, d’autant plus que les changements climatiques accentuent la fréquence et l’intensité des précipitations. La densification urbaine prévue ajoute une pression supplémentaire sur ces infrastructures vieillissantes. Bien que certaines interventions locales aient été mises en place (comme des saillies drainantes et des jardins de pluie), elles n’ont pas été intégrées dans une vision d’ensemble.

Ce projet vise à doter la Ville d’un plan de gestion des eaux pluviales adapté aux nouvelles réalités climatiques. Il repose sur trois volets : cartographier les zones vulnérables à l’aide de la modélisation, évaluer les effets des changements climatiques à partir des plus récents scénarios climatiques, et identifier des stratégies d’adaptation concrètes comme les infrastructures vertes et bleues.

En adoptant cette approche proactive, la Ville de Pointe-Claire pourra mieux planifier ses investissements, réduire les coûts liés aux dommages et améliorer la qualité de vie de ses citoyen·ne·s. Le projet appuie aussi les ambitions de la Ville en matière d’environnement, de gouvernance et de transition écologique.

Fine-Tune AbilityGPT to Create Dual-Specific Therapeutic Antibodies

We propose to use AI to generate tuned antibodies that reduce side effects using GPT models fine-tuned from the AbilityGPT base language models created in the previous project. Starting with the AbilityGPT models based on several sizes, fine tune the models using sequences known to be active for selected targets. These may be selected from the AbiLeap™ database or extracted from patents and database of clinical or FDA approved antibodies.

Urban Tree Infestation Detection Using Satellite Imagery and Deep Learning

This project teams up the Institut National de la Recherche Scientifique (INRS) and Remote Digital Twin Inc. (RDT) to find a better way to spot sick trees in Canadian cities using satellite images and artificial intelligence (AI). Urban trees are under attack from pests, which hurts air quality and green spaces people love. Today’s methods to check tree health are too slow and can’t keep up with the problem. By using images from satellites like Sentinel-2 and Landsat, combined with smart AI, this project will quickly find infested trees before the damage spreads. For INRS, this boosts their goal of solving real problems with science. For RDT, it creates a new product to help keep urban forests healthy. In the end, this means cleaner air, happier communities, and a fast, affordable way to protect city trees.

Developing dry-film antimicrobial coatings from cellulose nanocrystals

This project aims to integrate cellulose nanocrystals into commercial dry-film antimicrobial coating formulations as a replacement for talc. Ideally, the incorporation of CNCs will lead to concurrent improvements in dry-film durability and long-term antimicrobial efficacy without negatively impacting film appearance or functional performance. As necessary, CNC surface modifications will be explored to improve compatibility with current gold-standard industrial formulations. By leveraging expertise at Queen’s University in CNC functionalization and formulation development, this project will advance CNC-based controlled-release technology and create a commercially viable antimicrobial paint formulation that meets the new regulatory challenges in Ontario and Canada. We anticipate that the rational surface modification of CNCs will lead to their optimal integration into commercial dry-film coatings, and will help stabilize and control the release of antimicrobial agents for prolonged effectiveness as compared to industry standards. Specifically, our approach will improve the long-term protection against a broad spectrum of microorganisms, algae, and fungi, and increase coating resistance to environmental wear/degradation (e.g. humidity, UV exposure). This collaboration directly supports Oligomaster’s commercialization strategy, ensuring a scientifically validated, high-performance product ready for market adoption.

UIUX

This innovation project focuses on developing an advanced generative AI-powered platform designed to visualize consumer preference data for interior design products through intuitive, dynamic preference maps and visualization tools. The aim is to simplify and enhance the process of product selection for both consumers and interior design professionals, significantly streamlining decision-making and procurement processes.
The primary innovation involves integrating generative AI with user-experience (UX/UI) design to create interactive visual representations of complex preference data. Users will be able to clearly visualize their preferences and product matches, significantly improving user engagement and satisfaction. This incremental innovation will enhance current market standards by providing a highly personalized, AI-driven visual tool not yet widely available in the interior design industry.
The UX/UI Designer candidate will lead the conceptualization, design, and testing of the platform’s interactive elements, ensuring an intuitive and seamless user journey. Their key tasks include conducting user research to understand stakeholder needs, developing wireframes and high-fidelity prototypes, executing usability testing, and iteratively refining the design based on feedback and analytics.
Methodologies and techniques applied will include user-centered design principles, rapid prototyping, usability testing (such as A/B testing and heuristic evaluations), and qualitative and quantitative user research. Additionally, the candidate will collaborate closely with AI specialists to align the generative AI capabilities with user interface requirements, ensuring optimal integration of AI-generated visual data.
Ultimately, this project seeks to set a new benchmark for UX/UI standards in AI-driven consumer preference visualization, delivering measurable improvements in consumer satisfaction, engagement rates, and operational efficiency in the interior design and home goods market.

Réduction des blessures liées aux chutes en escalade de bloc

Les blessures sont une problématique montante en escalade de bloc. La grimpe se fait sur maximum 4 à 5 mètres de hauteur sans dispositif d’assurage. Pour quitter le mur, les athlètes se laissent tomber sur un matelas. Malgré les risques associés aux chutes, c’est un sujet peu étudié au Canada. Plusieurs questions demeurent sans réponse: Comment diminuer les charges au niveau des articulations ? Comment prévenir les blessures ? Quels sont les facteurs qui augmentent les risques de blessure?

Il n’existe aucune étude sur la cinématique de chutes lors de l’escalade bloc; les scénarios de chutes les plus dangereux ne sont donc pas connus. Aussi, il n’existe aucune étude analyse l’influence du type de chute sur les efforts subis par les articulations. Les objectifs de ce projet sont de 1) Recueillir des données cinématiques à l’aide de capteurs inertiels lors de chute en escalade de bloc chez des athlètes élites et 2) Simuler, à l’aide d’un modèle numérique du corps humain, différents scénarios de chutes afin d’estimer les efforts subis aux articulations des membres inférieurs.

Des indications de mouvements typiques pouvant minimiser les risques de blessures lors de chutes seront générées. Ceci pourra diminuer les risques de blessures des athlètes.

Development of operations, retail and online strategy for growing business needs

Developing an online and e-commerce strategy to meet increased business demands requires a structured approach by focusing on enhancing customer experience, optimizing digital presence, and streamlining operations. By implementing an e-commerce strategy, we can drive sales, enhance brand loyalty, and successfully move our business from a 7-month seasonal business to 12 months of the year, through e-commerce. We would also like to take an educational approach to the public on our industry and its function. Our intern has shifted her focus on studies to Environmental studies, and we would like to implement learnings to both our commercial and direct-to consumer parts of our business.

Race and Representation in Nova Scotia’s Criminal Justice System: Analyzing the Experiences of People of African Descent in the Province’s Courts and Correctional Facilities

This research project will contribute to the literature on Canada’s criminal justice system by using de-identified race-based data from Nova Scotia’s Department of Justice to understand Black people’s experiences in the province’s correctional facilities. It addresses two main problems: Gaps in knowledge about Black people’s experiences in provincial correctional facilities, and the need to improve correctional practices in Nova Scotia. Alongside filling important gaps in race-based data, this project will also contribute to improvements in correctional practices in Nova Scotia by engaging with formerly incarcerated individuals to understand their experiences and needs while incarcerated, and their reintegration needs once they have left prison.

The purpose of this research project is to understand Black people’s experiences in Nova Scotia’s provincial correctional facilities, to facilitate advocacy efforts and contribute to the literature on race-based data. In this research project, data from Nova Scotia’s Department of Justice (DOJ) on Black people’s experiences within provincial correctional facilities will be analyzed to identify any systemic or persistent differences in treatment or outcomes, in comparison to other racial groups. In addition, building on the quantitative findings, the project will undertake qualitative research that will involve interviewing Black people who have been incarcerated within provincial correctional facilities to determine whether the findings reflect their experiences, and to better understand the services and supports they need to better reintegrate into their communities.

Decoding coded language in video-games communications

Hate speech manifests in various forms, ranging from overt slurs to more subtle, coded messages known as dogwhistles. These dogwhistles allow speakers to convey apparently innocuous messages that include an additional controversial layer only recognizable to a specific subgroup. This duality enables plausible deniability for the speaker while reinforcing group identity among those who understand the hidden message. Computational methods have emerged as a promising approach to detect these subtle cues. By leveraging deep contextual representations and network-based analysis, researchers can uncover patterns and associations within language that hint at underlying negative connotations. For instance, certain words may not inherently carry hateful meanings but are associated with negativity due to their usage in specific contexts. The integration of transformer-based architectures with social network signals further enhances the detection of covert hate speech, enabling systems to distinguish it from merely offensive language. These multifaceted approaches are essential for developing robust moderation systems capable of addressing toxicity. Overall, detecting hate speech requires a comprehensive understanding of linguistic nuances and social contexts, combined with advanced computational techniques like deep learning and network analysis. As such, our integrated approach will effectively tackle the challenge of identifying both overt and subtle forms of hate speech.

Development and Assessment various Materials for the Adsorption of Ethylene for Prolonging Vegetables and Fruits Shelf-life

Preserving fruits and vegetables represents a significant global challenge due to their high susceptibility to spoilage driven by the phytohormone ethylene. Ethylene accelerates ripening, leading to a rapid decline in the quality and shelf life of produce, ultimately causing substantial postharvest losses. Currently, traditional approaches, such as potassium permanganate, are widely used for ethylene absorption and reaction. However, several limitations exist, including concerns about toxicity and environmental hazards associated with potassium permanganate. This project aims to evaluate the performance of existing ethylene adsorbents, such as the zeolite family, while introducing novel adsorbents based on the emerging and highly efficient class of Metal-Organic Frameworks (MOFs). Zeolites, renowned for their high adsorption capacity and favorable surface properties, have been applied in ethylene control. Nevertheless, further optimization is required to maximize their efficiency. MOFs, on the other hand, with their precisely engineered structures, exceptional chemical stability, and tunable properties, emerge as a groundbreaking alternative for ethylene adsorption. By focusing on the development of advanced adsorbents, this research seeks to enhance the performance of zeolites by properly functionalizing them and designing novel MOFs with superior efficacy. The ultimate objective is to significantly extend the shelf life of fruits and vegetables, reduce food waste, and promote sustainability within the food supply chain. Experimental studies will be conducted with a model produce such as tomatoes, to assess the efficacy of the existing zeolitic, modified zeolitic, and MOF adsorbents on the shelf-life of the selected produce. These efforts align closely with the mission of Quiper Canada Inc. committed to developing innovation in food preservation, offering substantial benefits to producers, retailers, and consumers across Canada.

Development of a novel bio-adsorbent filtration system derived from renewable bioresources to capture particulate matter emissions from wood-based furnaces

This project aims to reduce particulate emissions below 2.5 g/h from wood furnaces to comply with EPA and CSA standards. We will develop an innovative adsorbent column to capture particulate emissions. We will investigate the effects of different adsorbents and their blending ratios on capturing particulate emissions.