Projets novateurs réalisés

Project Respawn

Project Respawn is focused on updating and improving Noodlecake’s older mobile games so they can continue to work on modern devices and app stores. Many of these games were made years ago using old technology, and without updates, they may stop working or be removed from stores. This project will help Noodlecake build tools and processes to fix and maintain these games more easily in the future. It will allow the company to keep earning revenue from its existing catalog and reduce the time and effort needed to support older games, helping the team focus more on new projects.

Enhancing Digital Marketing and Business Intelligence for Hyspecs Eyewear – Part II

This project will enhance Hyspecs’ digital marketing and e-commerce operations through four key initiatives: streamlining the migration to a new email marketing platform with automated flows to better engage customers; creating a strategic sales and media calendar to align campaigns across channels; scaling up paid advertising using data-driven insights to boost performance and reach; and improving the website’s layout and checkout experience to increase conversions. These efforts will support Hyspecs in reaching more customers, driving higher sales, and improving operational efficiency through smarter marketing and better online shopping experiences.

Energy-Efficient Controller Design for Robotic Manipulation

Robotic manipulation plays a critical role in various applications, including advanced manufacturing, automation, hazardous material transport, and package delivery. However, realizing the full potential of these systems requires overcoming significant challenges such as the nonlinear coupling between robot and payload dynamics, ensuring energy efficiency, achieving precise control, and enabling collaborative manipulation when multiple robots are involved. This project aims to designing an energy-efficient controller for robotic manipulation systems that effectively addresses the nonlinear coupling between robot dynamics and payload dynamics, particularly for complex payloads like liquid containers. This project represents the starting point for a long-term partnership between the home supervisor from the University of New Brunswick (UNB) and the host supervisor from the University of Cincinnati (UC). The collaboration will include joint publications, reciprocal exchanges, pursuing future joint funding opportunities, and student co-supervision. It is expected that this collaboration will lead to future advancements in robotic manipulation, with the possibility of extending to other fields such as advanced manufacturing, autonomous systems, and industrial robotics.

Prompty Traction: Feature Revisions and Development

Prompty is a 100% indigenous owned technology start-up located in Calgary, Alberta. This corporation combines modern technologies, gamification, and decades of experience within the conference and events industry to provide connectivity solutions that are authentic, enjoyable, sustainable, and secure. The objective of this project is to assist Prompty in establishing a trusted brand identity by improving on the early stages of the platform to improve functionality during the company’s crucial initial launch phase.

Expanding on an existing application in order to better service our current growing airlines

This project involves updating and improving airline software for our largest customer. We are going to need computer programmers to assist with development of our applications specifically our booking and DCS (checking) applications.

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.