This project will explore how people can control a dual-arm robot using Haply’s Inverse haptic device and a digital twin created in Unreal Engine. The goal is to let a person move their hands naturally, while the robot copies those movements smoothly in real life. At the same time, the operator will feel touch-based feedback, […]

Adolescent idiopathic scoliosis (AIS) is a common spinal condition that affects posture, movement, and quality of life. Deficiencies in proprioception, the body’s sense of position and movement, may play a role by disrupting balance and postural control, contributing to spinal misalignment. Scoliosis is typically assessed with static images such as X-rays, which cannot show how […]

Doctors often use biomarkers which are measurable signs in the body to better understand diseases, track their progress, and test whether treatments are working. Right now, there is no reliable biomarker for amyotrophic lateral sclerosis (ALS), a disease that weakens muscles over time and makes it difficult to move, speak, eat, and breathe. Sadly, ALS […]

This project explores a new workflow for creating adaptive music for video games and other interactive media. Today, most interactive music relies on pre-recorded audio segments, which limits flexibility and requires composers to manually prepare a large number of variations and transitions. Our research takes a different approach by working with MIDI, a digital data […]

The research project involves studying how incubator programs help artists become successful entrepreneurs in the music industry. Incubators are places where artists get training, support, and resources to build their careers. The interns will collect and analyze data to understand how these programs impact artists’ growth, creativity, and business skills. By examining these effects, the […]

Spine surgery often requires real-time X-ray images to guide surgical tools safely around delicate structures. However, using X-rays continuously during long operations can expose both patients and medical staff to unnecessary radiation. One way to reduce this risk is to use saved X-ray images for navigation rather than continuous exposure; however, this requires precise tool […]

One third of Canadians drink groundwater, yet the threats to groundwater remain ‘out of sight, out of mind’ for most Canadians and decision makers. Small, rural communities and First Nations disproportionately rely on groundwater as a drinking water resources but often lack the resources to advocate for effective policy that ensures groundwater security. Although groundwater […]

Le bras robotisé JACO de Kinova Robotics® fait l’objet de recherche en continu afin de couvrir toute l’étendue des connaissances sur ses impacts sur les utilisateurs au Québec. Ce projet se donne comme objectif de réaliser une analyse secondaire d’entrevues précédemment menées dans la province de Québec auprès de 21 utilisateurs du bras robotisé JACO […]

Current implantable biomaterials often rely on synthetic or animal-derived polymers, which can be costly, poorly biocompatible, or environmentally unsustainable. There is growing interest in finding plant-based or fungal alternatives that meet the demanding requirements of medical-grade applications. Chinova Bioworks, a Canadian biotechnology company, specializes in producing chitosan from mushrooms for use in preservative applications. The […]

This project explores how the sustainability efforts of select Atlantic Canadian businesses are enhancing their competitiveness and profitability, as well as positively affecting the communities and systems they operate within. We will develop 10-12 mini case studies, highlighting how organizations’ actions have strengthened their business model and competitive advantage while simultaneously creating social and/or environmental […]

In today’s world, organizations such as banks, schools, and hospitals rely on artificial intelligence (AI) to help make important decisions, from assessing credit risk to detecting fraud. A new type of AI, called Tabular Foundation Models (TFMs), shows great promise for these kinds of tasks. Unlike traditional systems that require heavy retraining, TFMs can quickly […]

This project will help make it easier for scientists and data engineers to work with a powerful type of satellite data called hyperspectral imagery, which captures detailed information about the Earth’s surface. While this data can support important work in areas like climate, agriculture, and environmental monitoring, it’s often difficult to use without specialized training […]