The project develops new optimization methods for a complex industrial scheduling problem involving multiple hoists moving parts through electroplating tanks under strict timing and safety constraints. Unlike existing models, the project focuses on a dynamic setting where new tasks can appear during production and where multiple hoists share tracks and must coordinate movements. The work […]

Les signaux physiologiques (ECG, EEG, EMG, CGM, etc.) constituent des indicateurs essentiels de l’état de santé et permettent de détecter ou anticiper des événements critiques tels que les crises épileptiques, l’hypoglycémie ou certaines anomalies cardiaques. Cependant, leur variabilité inter-individuelle, leur bruit et leur forte complexité temporelle rendent leur modélisation difficile pour les approches traditionnelles. Ce […]

NBCGSS will collaborate with UNBC’s Computer Science department to integrate artificial intelligence solutions into administrative operations, addressing critical organizational efficiency challenges. This project aims to automate time-consuming manual processes, reduce dependency on individual staff members, and create sustainable operational systems for the 600+ graduate student community. The project will focus on AI integration into documentation […]

This project will build a new kind of AI question-answering system where several specialized “agents” work together under an adaptive controller. Instead of a single model answering a question in one shot, Omar’s work designs a coordinator that plans the steps, decides when more information is needed, and measures how confident the system should be […]

L’Energy Internet représente une nouvelle génération de réseaux énergétiques interconnectés, où le routage de l’énergie entre producteurs, consommateurs et prosumers doit être optimisé en continu. Les approches classiques de routage centralisé rencontrent des limites face à la complexité croissante et aux enjeux de confidentialité des données énergétiques locales. Ce projet vise à explorer une approche […]

Ce projet vise à améliorer l’accès à l’éducation en ligne pour les étudiantes et étudiants vivant dans des régions où la connexion Internet est faible ou instable, notamment en Afrique subsaharienne. Dans des pays comme le Sénégal, beaucoup d’apprenants utilisent le téléphone mobile pour étudier, mais les plateformes actuelles ne s’adaptent pas aux réalités du […]

This project will extend the functionality of FloatVR, a VR mental health application for the Meta Quest. The project includes upgrading our analytics platform, extending our loading system and building a generic tagging system to modularize functionality. We would also like to build a simple area sequencer for users. These upgrades will enhance our ability […]

ServiceNow develops a platform for client organizations to manage and automate large-scale processes across various industries. In 2020, ServiceNow acquired Element AI to strengthen its presence in the Artificial Intelligence (AI) research landscape and the Canadian AI ecosystem. This acquisition enabled the developmentof AI-driven products that improve the platform’s capabilities. ServiceNow Research has made significant […]

Dawson Group’s IT team has created a new in-house web application called WRAP to modernize how Dawson Road Maintenance (DRM) plans work, reports activities, and manages crews. WRAP replaces an older system and makes it easier for supervisors and staff to organize road and bridge projects, track costs, and reduce manual paperwork. Although WRAP is […]

While mass production systems have successfully implemented automation processes, job-shop manufacturers face a critical challenge: experienced workers are retiring, taking decades of specialized knowledge with them, while finding skilled replacements becomes increasingly difficult. This project addresses this problem by creating a “digital twin” – essentially a highly accurate virtual copy of a real manufacturing workspace […]

This research project aims to develop more practical and efficient methods to verify that quantum devices are working correctly, especially when we cannot fully trust the internal details of the hardware. By relaxing strong assumptions about the dimension of tested quantum devices and deriving clear robustness bounds, the project will help build scalable and robust […]

Modern augmented reality (AR) head-mounted displays (HMDs) display stereo images to the two eyes through a beam splitter and optical lenses that project the images onto a fixed focal plane. When 3D content is rendered at a depth different from this focal plane, users must accommodate to the display distance while converging their eyes to […]