A significant amount of fraudulent activity tends to go unreported in reality, one of the major focuses for our team recently has been to develop robust GNNs that can perform anomaly detection on noisily labeled graphs. Noisily labeled anomalous data can reduce the model performance as it learns incorrect patterns during training, cause the model […]

This project addresses the growing challenges associated with the increasing demand for Electric Vehicles (EVs) within the context of a global shift towards sustainable energy solutions. The surge in EV adoption, while beneficial for the environment, poses challenges on the energy grid due to frequent and high-powered charging, leading to more frequent peaks and potential […]

This project will be conducted in collaboration with Island Nature Trust (INT) to develop a user-friendly digital platform for volunteers in their Coastal Guardian and Conservation Guardian Programs. Currently, the organization faces an innovation challenge in coordinating and supporting a geographically dispersed network of volunteers, many of whom have limited technical experience. Also, existing processes […]

As populations age, many older adults face increasing difficulty moving safely and comfortably through their cities due to challenges such as limited walking endurance, steep slopes, poor lighting, and the need for regular rest. This project aims to improve pedestrian route planning by developing and comparing methods that generate routes adapted to older adults’ needs, […]

This project develops an AI-powered clinical scribe designed specifically for mental-health therapists. Many therapists spend excessive time on documentation, often losing 5–10 hours per week to paperwork. Existing medical transcription tools are not built for psychotherapy and fail to meet privacy or workflow needs. Our project will create and test a privacy-first, therapist-friendly prototype that […]

This project focuses on developing and evaluating automated methods for analyzing complex no-code automation workflows used in enterprise environments. Platforms such as Workfront Fusion and Make.com allow organizations to build powerful automations quickly, but as these workflows grow in size and importance they often become difficult to understand, maintain, and safely modify. Changes are frequently […]

People in VR can see each other and see the same virtual objects, but the feeling of touch is usually weak or missing. It is not realistic to give everyone a full set of physical replicas for every virtual item they use. Instead, this project will explore how one or two simple physical objects can […]

Use of generative artificial intelligence (GenAI) has skyrocketed in software development. Although gains in workers’ productivity have received significant recent attention, little is known regarding the deeper long-term effects of these tools. Researchers from the University of Victoria, Canada and the University of Zurich, Switzerland are conducting an experimental study to evaluate the potential risks […]

The main goal of this project is to integrate advanced machine learning techniques into the open-source PyBEST quantum chemistry software package to substantially accelerate quantum chemical calculations through the automated selection of optimal computational strategies. The project specifically targets the AI-driven optimization of tensor contraction operations (TCOs), which constitute the primary computational bottleneck in many […]

A web system, Computer Supported Collaborative Learning (CSCL) Assistant that supports teachers to have their students grouped and work on tasks together via discussion, is currently used by a university. At this moment, CSCL Assistant uses chatbot to participate into a group discussion with the help of ChatGPT and Google Gemini. ChatbotLLM (https://chatbot.vipresearch.ca), is IEEE Northern […]

Le projet de recherche proposé vise à développer un système basé sur l’Intelligence Artificielle multimodale pour analyser à la fois les images morphologiques et les données génétiques de poissons appartenant aux espèces Diaphanus et Heteroclitus. L’objectif est de permettre l’identification automatique des espèces, de déterminer le sexe des individus et d’évaluer le degré d’hybridation afin […]

This project aims to make power grids smarter and more efficient by using a type of artificial intelligence called Graph Neural Networks along with Deep Reinforcement Learning. Just like a GPS finds the best route for a car, our system will find the optimal paths for electricity to travel, especially from clean but unpredictable sources […]