Developing machine learning tools for routine clinical EEG

The proposed project is part of a large-scale collaboration between SFU’s Behavioral and Cognitive Neuroscience Institute (BCNI) and Fraser Health Authority (FHA) in the domain of AI applied to clinical electroencephalographic (EEG) scans recorded and evaluated in the process of diagnostic workup in FHA’s public hospitals (n = 40’000). The key goal of the SFU/FHA […]

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Advanced Adaptivity and Personalization in Learning Systems through Collaborative Recommendations Year Two

Learning Systems are among the most popular e-learning tools in today’s education and training. Most e-Learning systems do not take into account individual aspects of learners (e.g., their goal, experiences, existing knowledge, learning style etc.).The primary goal of the proposed research is to offer rich adaptivity by combining information from a learner’s profile (e.g. levels, […]

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Vers une meilleure gestion de la sécurité avec la Fondation LOJIQ – Les Offices Jeunesse Internationaux du Québec: Gestion d’identités, classification des actifs informationnels, classification des incidents de sécurité.

La fondation Les Offices Jeunesse Internationaux du Québec (LOJIQ) explore de nouvelles approches de renforcement de la sécurité informatique et de la lutte contre les cybermenaces. LOJIQ travaille au quotidien avec plusieurs partenaires qui attendent d’elle une meilleure protection de leurs renseignements. Malheureusement les mécanismes actuels de sécurité connaissent des faiblesses relativement à la gestion […]

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Developing a Voice Interface for Music Searching

The search for music for a video is time-intensive. Video creators and bloggers listen to hundreds of tracks in music libraries, yet barely find the perfect one because of the difficulty of communicating their vision to the computer. Thus, the question we address in this research project is on the role of the modality, in […]

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Birch Scientific Software Project

Birch Scientific has recently completed an innovation project on the development of digital twin software to support enhanced operations in drilling activities. The grade of software developed thus far must be polished into product form for deployment to customers. This project includes significant software quality assurance(QA) work, developing deployment processes and gathering of customer requirements.

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Real-time AI-based Anomaly Detection of 5G Network Latency ** Extension with new objectives and deliverables **

LatenceTech offers a cloud analytics and monetization solution for cellular networks with a special focus on ultra-low latency connectivity. Using SAAS and AI, our solution helps mobile operators, telecom vendors and advanced industries to track, predict and secure the new benefits of 5G cellular technology. This project consists in creating ML Models to perform near […]

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Apprentissage en continu de modèles prédictifs à partir de données d’électrocardiogrammes

Les électrocardiogrammes (ECG) jouent un rôle majeur dans le diagnostic d’anomalies du rythme cardiaque. Cependant, la quantité de données produites pour suivre des patients sur de longues durées devient intraitable. Heureusement, l’apprentissage automatique (ML) a été appliqué avec succès sur des tâches comme la détection de battements et la classification de type de battements. Suivant […]

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Leveraging Computer Vision to improve the estimation of Postural Balance.

Improving postural balance is a part of many rehabilitation programs and plays an important role in clinical evaluation of residual motor ability. The assessment of center of pressure (COP) displacement is commonly done by laboratory-grade force plates that are expensive and require specific measurement set-up. The Nintendo Wii Balance Board (WBB) was proposed as an […]

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Deep Neural Networks for Local Editing of Facial Polygon Meshes

Artists in the industry are eager for tools to simplify the modeling of faces for 3D characters. For a while, researchers, including ourselves, used blend shape style models for reconstructing and modeling faces. More recently, researchers investigated using Artificial Intelligence (AI) models, again mostly for face reconstruction from images. AI is more able to properly […]

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Investigation and Development of an Automated Testing Platform for Digitally Implemented Clinical Guidelines in the Health Level (HL7) Fast Healthcare Interoperability Resources (FHIR) Standard

The project partner, JuniperCDS (Juniper), is a digital health company that is developing a care and treatment planning (software) application called JuniperCDS, which is a clinical decision support software solution that enables clinicians to create meaningful, person-centric care plans by delivering in-context recommendations based on the latest clinical guidelines at the point of care. A […]

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