The project will investigate the cross applications of mining tailings and how they can drive economic growth.

The proposed project aims to address ethical challenges associated with AI technologies by researching and promoting intercultural and interdisciplinary collaboration. This intercultural and interdisciplinary collaboration entails drawing insights from people who come from different cultural backgrounds, study different disciplines (engineering, philosophy, sociology, law, etc) and work in different sectors (industry, academia, non-profit, etc). With the […]

The new Frontenac Lennox and Addington Ontario Health Team for our region has established palliative care of one of its priorities and formed a Palliative Care Partnership of stakeholders involved in providing palliative care across the FLA. The objective of this project is to improve access to palliative care for underserved and marginalized populations, especially […]

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 […]

Gene therapy has risen as one of the more promising treatment options for neurological disorders. Using modified viruses to deliver genetic material has shown success however has several disadvantages including increased safety risks. Using a non-viral vector system has the potential to overcome many of the challenges that arise with using viral vectors. Mediphage Bioceuticals […]

The intern will be participating in a project analyzing and growing upon a case study of advanced manufacturing circular economy initiatives in the global fabric manufacturing industry. They will create a proposal for how to integrate a circular economy in Canada’s manufacturing industry, utilizing key success stories, identifying vital partners in the current industry, and […]

Computer-assisted surgical planning systems, despite their enormous support in the decision-making process, have faced challenges in clinical practice mainly due to the difficulty of obtaining 3D patient-specific models. This requires the segmentation of anatomical structures, a process traditionally considered tedious, complex, and imprecise. However, recent advances in artificial intelligence, particularly in convolutional neural networks, have […]

Polymeric materials are used for personal care products, drugs, tissues, organs, sensors, batteries, coatings among numerous applications. Currently, these products are made in organic solvents (e.g., methanol, butanol), which are toxic and incompatible for human use. Therefore, there is a need to make these products in water, which is biocompatible and environmentally friendly for use. […]

Maintaining all of the equipment in the payload designed for space/near-space operation is a challenge. Because there is insufficient air in the high-altitude environment, the only way to remove heat from sensitive equipment is through conduction and radiation cooling. Other stringent constraints for such payloads, including power consumption, size limitation, and weight limitation, require thermal […]

Pedicle screws are used often in a spinal fusion to add support and strength to the fusion while it heals. Traditionally, a large incision is made to implant screws and rods that stabilize the spine. In contrast, percutaneous pedicle fixation is a minimally invasive spine surgery technique, performed through the skin without a traditional large […]

Mood disorders, including depression and bipolar disorder, represent a common and severe group of mental illnesses. Poor eating behaviors contribute to worsened symptoms and quality of life in these patient populations, but this aspect is not adequately addressed in clinical care. Previous work characterized six groups of eating behaviors in mood disorders, including low appetite, […]

In this internship, we aim to develop a machine-learning model that learns human pose and movements. Such models can be used for AI-assisted human animation creation, motion refinement and denoising, video or imageto- pose conversion, and motion editing. We plan to implement and push state-of-the-art human motion models by taking inspiration from the advances in […]