This project targets development of applied methods and practical solutions to risk management problems where only partial observation of a system is possible. Such settings are commonplace in financial and other context but can be challenging to address due to a limited number of production-grade ready-to-use solutions. The scientific component of the project employs approaches […]

Covid-19 has impeded many brick-and-mortar businesses, especially the SMEs in Northwest Ontario. The challenging environment calls for change in the business practice to respond to the impact and rejuvenate businesses. Going online is one of the possible solutions supported by technology and market readiness for those businesses. Digital Main Street (DMS), a program and service […]

State-of-the-art computer graphics technology allows for the generation of images and animations that border on photo-realistic quality; however, this level of fidelity is often reserved for feature-film productions where the time budget is much more flexible. In the case of interactive graphics, such as approaches that are used in video games, similar demands are made […]

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to […]

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to […]

Long checkout lines at the grocery stores and wholesales are one of the biggest complaints about the shopping experience. Soon these lines could disappear when te ubiquitous universal product code barcode is replaced by smart labels, also called radio frequency identification (RFID) tags. RFID tags are intelligent barcodes that can talk to a networked system […]

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

Attention problems are common with aging and related disorders (like stroke) and are associated with poor recovery and quality of life. Many clinical tests of attention are not based on neurocognitive concepts and are limited to in person visits. The Dalhousie Computerized Attention Battery (DalCAB) is a theory-based, in-depth measure of attention that can be […]

Ce projet de recherche vise principalement l’alignement du processus d’Hydro Québec Équipement aux processus BIM, Lean Construction et l’ingénierie simultanée. Les résultats du projet aideront cette entreprise à atteindre son objectif principal de réduire davantage les coûts à l’aide d’une maîtrise de la 5D (les coûts), une meilleure systématisation du processus de construction en explorant […]

This project intends to research the building of scalable, low-cost and robust alternatives andimprovements to existing systems for mineral sensing and sorting in order to achieve greaterproductivity and efficiency by means of improving speed and accuracy in the process of miningminerals from low grade rocks. The project will combine developments in embedded and streamingsystems, parallel […]

This research project will be a collaborative effort to explore, understand, and capitalize on the growing market shift from Laterally Diffused Metal Oxide Semiconductors (LDMOS) to Gallium Nitride (GaN)-based radio units in the base station market, which is ever-growing with the increased demand for 5G. The intern will be trained on simulation, measurement, design, and […]