Digital twin is a virtual representation of an object or system designed to accurately reflect the physical object. In the interior design field, this physical object can be a room of a building, or the entire building itself. Creating a digital twin for interior design involves capturing a virtual representation of a physical space, then […]

During visual regression testing of video games, automated techniques are employed to identify visual bugs. Visual bugs can be detected by just looking at them, such as those related to texture and lighting, but also more complex ones like those related to the physics engine (such as a flying horse) that require common-sense reasoning. The […]

Self-driving cars represent a transformative innovation in transportation, promising safer and more efficient travel. However, their development faces significant challenges, including accurate prediction, path planning, and safe maneuver execution, especially under varying driving conditions. Ensuring safety across all potential scenarios within the operational design domain is paramount. To effectively address this, we propose developing algorithms […]

Harmful algal blooms (HABs) are a growing threat to drinking water, fisheries, public health, and recreation. In recent years, HABs have increased in frequency and severity in both freshwater and marine environments. Blooms are hard to monitor because they can occur unexpectedly, and reporting methods across Canada are inconsistent, creating a patchwork of alerting methods […]

Initially within the application procedure for searching appropriate combination of care seeker/giver matches it’s observed that user must select a range of options like the type of health care worker (HCW) needed for the job, credentials they require, their estimated rate, distance from the location desired, choosing level of experience HCW possesses, and checking whether […]

This research project will explore how a Geographic Information System (GIS) analysis can aid in enhancing the sustainable Basa fish industry in Vietnam. Enhancement is achieved through increasing market value, reducing the impact on global seafood supply chains and reducing negative local environmental impacts. GIS is an application that allows for complex spatial analysis of […]

This research will explore the possible use of video analysis, object detection, and machine learning models to identify TV commercials and advertisements in real-time on low-power computer systems. The partner organization focuses on software development and advertisement technology. The partner aims to solve the challenge of developing a lightweight power-efficient AI-based software that would be […]

Cancer’s persistent prevalence calls for innovative steps in early detection and therapeutic interventions. Metabolomics offers a comprehensive view of the metabolites that measure the function of cellular processes in this context. As explainable AI (XAI) emerges, it sheds light on these intricate systems’ decision-making processes and outcomes, making them accessible to human understanding. The project […]

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge those software systems with more and more complex tasks. It is necessary, therefore, that the core engines of CAS to implement state-of-the-art algorithms. This proposal capitalizes on the research conducted by academic partners […]

This research project aims to tackle the challenge of ensuring the reliability of large-scale software systems, which are crucial for various applications such as online services and data processing. The project focuses on developing cost-effective and intelligent methods for monitoring these systems to anticipate and prevent runtime incidents, such as crashes or errors, which can […]

The rise of Big Data, social networking, and mobile interactions coupled with an accelerating increase in the amount of structured and unstructured information enabled by cloud based technologies is forcing organizations to focus on information that is most relevant, value-generating, and risk-related. Problems arise when we make decisions based on good enough metrics (e.g. means) […]

We are seeking an intern to join our company and assist in enhancing our reporting efficiency and productivity through Power BI. Currently, our company gains insights into efficiency and productivity using various tools, including Autotask, Project for the Web, and Excel spreadsheets. However, we aim to leverage this data with Microsoft Power BI to create […]