Brain tumors are the leading cause of cancer-related death in childhood and are generally categorized as low-grade or high-grade. More granularly however, there can be over 100 types of brain tumors which can vary widely in both prognosis and treatment. Machine learning has increasingly been applied to classify brain tumors and other cancer types but […]

Augmented reality (AR) allows us to add virtual artifacts into the physical world. For example, we can place a 3D medieval castle onto the floor of a classroom, allowing students to explore it. AR supports collaborative learning since students can all see the same virtual artifact, and can interact using natural gestures like pointing. In […]

Notre mission est d’outiller et d’accompagner les propriétaires et aspirant·es propriétaires dans la réalisation de leurs ambitions immobilières. Ce projet vise à établir les conditions de réalisations nécessaires permettant la création d’un double numérique de propriété dans le plein respect des règles de protection des renseignements personnels.

Amélioration d’un Avatar bienveillant personnalisé pour aider les personnes âgées à rester autonomes à la maison, tout en favorisant la collaboration des différents intervenants avec la personne âgée.

Cette recherche consiste en l’application de techniques d’intelligence artificielle pour créer des gabarit qui serviront à l’extraction de données de formulaires (en format images ou PDF) dans le domaine de la gestion. Une combinaison de méthodes d’apprentissage automatique (intelligence artificielle) et de méthode d’ingénierie traditionnelles seront utilisés pour ce projet. Il est également fort possible […]

We focus on building the systems that allow for the storage and analysis of big data for preventing cybersecurity attacks. This telemetry data is collected from customers by leveraging endpoint, network, and cloud data sources both inside and outside our customers’ networks. Our team then builds products that allows our customers as well as our […]

Biomedical research, particularly preclinical research, is a complex and challenging field with a high failure rate of 98% in pharmaceutical research investment. Extracting relevant information from preclinical research papers involves synthesizing information from various sources, which is a demanding task that requires domain-specific knowledge. Natural language processing, specifically Large Language Models (LLMs), has demonstrated tremendous […]

The ability to quickly check if robot poses are not in collision with environment geometry is critical for robot applications that rely on forward kinematics, inverse kinematics, and path planning. It has been shown that during path planning 99% of the time is spent performing collision checks between the robot & its environment. Improving collision […]

The increasing demand for low-carbon energy has begun to amplify the development and usage of nuclear power. However, the generated nuclear waste is radiotoxic mainly due to the presence of heavy nuclei, such as actinides along with other fission products. This rises the need for selective remediation and storage of all radioactive actinides using non-toxic […]

Civonus Inc. is developing an internet based, transparent, asynchronous policy-making process for governments, public institutions, and civil society organizations/consultants who advise governments on policy issues, to use to improve their policy-making process. It is curated to produce deeply engaging, consensual, sustainable, equitable, inclusive, strategic, evidence informed policy-making. This project is to develop, in stages, MVP, […]

Modernizing plant breeding programs through integrated genomic and phenomic data management and analysis is an important organizational innovation for many public and private plant breeding organizations. This project will expand the GenGuard database and software platform for additional high priority data sources from Nutrien, including new areas of business operations. The proposed project also aims […]

The project involves enhancing and extending the in-house fluid flow solver using advanced mathematical and computing framework to be undertaken at the host university. The current in-house solver code can be efficiently applied to aerospace, marine and environmental flow problems. The collaboration with host university will result in a more advanced version of the code […]