Projets novateurs réalisés

Cross-Cultural wisdom: Mapping wise strategies for life’s major decisions

This project explores how people from different cultures make important life decisions, such as career choices or relationships. It focuses on understanding how cultural norms, social values, and religious beliefs influence decision-making. The research will use advanced text analysis (Natural Language Processing) and surveys to identify patterns in how people from different backgrounds approach decisions. The results will help create more culturally sensitive strategies for education, international relations, and policymaking. This collaboration benefits participating institutions by strengthening cross-cultural research, fostering international academic exchange, and advancing innovative research methods in decision-making studies.

A needs assessment to identify gaps and opportunities for patient navigation programs for youth/young adults with mental health and/or addiction concerns in New Brunswick

The research team at the Centre for Research in Integrated Care (CRIC), at the University of New Brunswick, will be partnering with the research team at New Brunswick Social Pediatrics (NBSP). The main objective of this project is to inform the development and implementation of a patient navigation program in New Brunswick for youth/young adults with mental health and addiction concerns, their informal caregivers, and members of the care team. It will also provide stakeholders with evidence, information, and practical resources to adapt patient navigation for this population.

Valoriser les connaissances récoltées dans le cadre de la production d’une émission médiatique à grande écoute

HINT est spécialisée dans la création de contenu pertinent. Nous supportons les organisations en leur permettant d’exploiter le plein potentiel de leurs données et de leurs expertises pour créer du contenu personnalisé, pertinent et approfondi. Elle développe des outils de gestion de connaissances et de création de contenu dans le but de permettre aux organisations de créer du contenu pertinent et adapté à leurs besoins.

Grâce à son expertise en traitement du langage naturel (NLP), avec des outils comme NLTK, SpaCy, ou des frameworks comme transformers, le stagiaire sera au cœur de l’avancement de notre mission en travaillant sur l’analyse des besoins d’un client stratégique et en contribuant au développement de notre moteur de recherche intelligent dans le cadre d’un projet avec un média d’envergure.

Le travail réalisé permettra à HINT d’acquérir de l’intelligence de données et de l’intelligence d’affaires lui donnant un avantage concurrentiel notable pour le développement de son moteur de recherche. Plus précisément, le stagiaire travaillera sur la cartographie et l’analyse des processus de création des données compris dans des dossiers de recherche journalistique, la mise en place d’un processus optimisé de création des données et de leur dissémination responsable ainsi que de fournir des recommandations pour la création ultérieure d’un moteur de recherche d’information performant rendu performant grâce à l’IA.

Revolutionizing Real Estate Advertising with AI: An Automated Ad Creation System for Realtors

Our project aims to revolutionize real estate marketing with an innovative AI-driven advertising system that automates the creation and optimization of digital campaigns for realtors. Tailored for real estate teams and brokerages, the system leverages BASL’s extensive market insights and performance data to generate personalized ad content. With a user-friendly interface, team leads can prompt the AI to develop targeted ad copy and creative assets that resonate with local market demands. The platform continuously learns from campaign outcomes to refine future advertising strategies, ensuring higher engagement and conversion rates.

BSI – Ultra-Resolution Multi-Projection Image Processing & Calibration Development Project

To research, develop and innovative upon existing and new image processing & calibration software for an ultra-resolution (up to 100MPx) multi-projection digital display. The solution is to be made to be distributable for embedding into custom in-line FPGA hardware to further enable high-speed parallel processing and eliminate bottlenecks in data communication.

Immunization Barriers Among Newcomers

The Hospital for Sick Children (SickKids) is the largest paediatric hospital in Canada, and partners both locally and globally to improve the health of children through the integration of care, education, community advocacy, and patient/family partnerships. As a cornerstone of the work of the Division of Infectious Diseases, immunization is one of the most important tools used by healthcare professionals to support healthy childhood. However, there are populations of children that face barriers to immunization access, education, and awareness. For example, newcomers to Canada face systemic barriers that make immunization and engagement with the healthcare system difficult. This project seeks to understand the extent of these barriers as they relate to requirements for international vaccine records to be translated and assessed in order to allow children in Ontario to attend school. The intern will co-lead focus groups and/or interviews with newcomer families to identify how these issues can be addressed effectively and appropriately within SickKids hospital and external health care settings. In addition to understanding barriers, this project also seeks to increase awareness and use of the SickKids Immunization InfoLine, a free phone consultation service run by SickKids to provide high-quality information and guidance on immunizations directly to the Ontario public to increase immunization confidence and knowledge.

L2M_Business Strategy for CELLECT’s Research and Commercialization

Despite advancements in women’s health diagnostics, cervical cancer screening rates remain critically low due to the invasive nature of traditional collection methods like Pap smears and self-swabs. CELLECT is pioneering a non-invasive, nanotechnology-enabled collection device—the CELLECTPad—that passively captures high-quality cervical and epithelial cells during menstruation. By removing the discomfort and accessibility barriers of existing methods, CELLECT aims to transform the landscape of gynecological screening and reproductive health research.

Agent conversationnel d’intelligence artificielle de sources de littérature scientifique en santé mentale

Le projet consiste à développer un agent conversationnel intelligent, c’est-à-dire un assistant virtuel capable de répondre aux questions en utilisant des informations scientifiques fiables. Contrairement aux outils classiques de recherche sur Internet, cet agent est conçu pour fournir des réponses basées uniquement sur des données validées par des experts et provenant de sources reconnues en santé mentale. Ce projet vise à résoudre un problème majeur : la surcharge d’informations souvent contradictoires ou non vérifiées disponibles en ligne sur la santé mentale. En filtrant les données pour ne conserver que les plus pertinentes et crédibles, l’agent aide les utilisateurs à prendre des décisions éclairées, qu’il s’agisse de comprendre un diagnostic, de choisir une stratégie de traitement ou de mener une recherche académique.

Safety constrained learning for industrial manipulators

1)
Ocado group builds the Ocado Smart Platform, an end-to-end ecommerce, fulfilment, and logistics solution for smart online grocery businesses. This team develops cutting edge technologies across robotics, artificial intelligence, machine learning, and data science to support various stages of warehouse automation and logistics. Each application requires robots with specific capabilities tailored to different tasks.
2)
Behaviour cloning, imitation learning and reinforcement learning are growing in popularity for learning behaviours that generalize across tasks, but deploying these methods on industrial robots presents unique safety challenges. This project aims to identify, discover and develop robust methods for training that ensure safe operation of industrial robots performing pick and place tasks.
3)
For Ocado, this means increased efficiency and safety in their warehouses. This in turn improves the speed, efficiency, and reliability of the grocery distribution industry. Ocado will provide the robots, simulation software, task definition, and guidance to support this project.

Building a Scalable Data Platform Infrastructure for Smart Fleet and Urban Analytics

Geotab creates hardware that it installs into customer vehicles. Telematic and video data from this hardware is collected and aggregated by its data platform where it can be used for analysis and machine learning endeavours to provide insights to
customers. Large volumes of data are generated and must be ingested efficiently and accurately as well streamed to customers in real time. The data, in particular video data, must also be stored in an efficient manner. Lastly the platform needs to be scalable as the quantity of data continues to increase. The data platform currently has methods to handle these needs, but Geotab is a rapidly growing company. New techniques are needed to ensure the data platform remains performant and reliable.
Successful research will benefit Geotab by allowing it to further expand its operations while ensuring low latency, low cost, and reliability. Society as whole will benefit due to Geotab’s software allowing its customers to manage their fleets of vehicles more
efficiently, safely, and sustainably.

Inventing the Future of AI Applications

AXL is a venture studio focused on developing cutting-edge AI-powered applications. Their mission is to create the next generation of human-augmenting AI technologies by identifying real-world challenges and exploring novel technologydriven
solutions. AXL conducts applied research in AI and Human-Computer Interaction, with a focus on product development and prototyping to fuel innovative startups. This project directly aligns with AXL’s mission by addressing a key challenge: how organizations can effectively leverage advanced machine learning models, particularly large language models (LLMs), to build novel interactive systems. AXL faces the challenge of leveraging rapidly evolving advanced machine learning models to create powerful, accessible, and user-friendly applications. While technologies like Large Language Models have proven useful in tasks including summarization, question answering, and decision making, user trust remains a significant barrier. This research aims to uncover necessary knowledge to implement user interfaces that enhance user accessibility and build user trust in model outputs, paving the way for development of impactful, interactive AI products in high-stakes sectors like finance. his research will contribute to advancing the AI sector by improving user trust in model outputs and enhancing human interactions with AI applications across industries. The project’s success will have wide-reaching social benefits, particularly by enhancing financial literacy and accessibility to trustworthy financial advice. AXL will benefit from the development of novel interactive systems emerging from this research, potentially leading to spin-off companies and partnerships.

Les anthroponymes chez les Anicinabek et les cérémonies d’attribution des noms : regards sur la littérature et les archives

Cette recherche vise à explorer l’importance des noms et des cérémonies d’attribution de noms pour les peuples autochtones, particulièrement les Anicinabek. Le projet se concentre sur les noms comme éléments essentiels de l’identité et comme indicateurs de la vitalité de la langue anicinabe.
L’étude cherche à approfondir notre compréhension du système de dénomination traditionnel anicinabe et des cérémonies qui lui sont associées. Elle examinera également comment les survivantes et survivants des pensionnats autochtones dont les noms ont été changés durant leur enfance entreprennent des démarches pour se réapproprier et obtenir la reconnaissance légale de leurs noms d’origine.
Comme il existe peu de documentation scientifique sur ces sujets, ce projet exploratoire s’appuiera principalement sur des revues de littérature grise (documents non-académiques), d’articles scientifiques, de presse et de recherches en archives. Cette phase préparatoire servira de base à des recherches qualitatives futures.
Les résultats de cette recherche serviront à plusieurs fins concrètes, notamment à documenter le système dénominatif anicinabe et à contribuer à un documentaire produit par Minwashin, un organisme à but non lucratif anicinabe partenaire du projet. Ce documentaire suivra le parcours de survivantes et survivants des pensionnats autochtones qui cherchent à se réapproprier et à obtenir la reconnaissance légale de leurs noms d’origine. Un rapport de recherche complet sera également produit.