GIS and AI for the recognition and mapping of power grid assets

(1) ESMIA offers expertise in modeling integrated 3E (energy-economy-environment) systems for strategic decision-making at the municipal, regional, national, and global levels. ESMIA’s expertise is recognized by numerous private sector clients and various levels of government in Quebec, Canada, and around the world. ESMIA’s goal is to provide solutions that enable the achievement of energy security […]

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Assessing extractive development in Kaska Dena territory

The project will transfer academic research findings about extractive development on Kaska Dena territory to Kaska Dena organizations. It will involve three activities: 1) making research findings accessible to community members, policy-makers, and government organizations involved in impact assessment through reports and other tools; 2) supporting the development of a database of Kaska Dena knowledges […]

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AI-Powered Fish Monitoring: Supporting Indigenous-led Conservation in Deadman Watershed

Secwépemc Fisheries Commission (SFC) currently relies on a semi-automated system that requires biologists and technicians to manually review video footage to confirm fish counts. This process is time-consuming, delays reporting, and limits access to real-time information. The interns will develop an automated fish-counting tool that uses computer vision and artificial intelligence (YOLOv2 object detection, ByteTracker, […]

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Synthesis and testing of co-polymer impregnators for improved plastination of flax fibers

Flax fibers and their composites are known for their mechanical properties comparable to many petroleumbased composites, such as high strength-to-weight ratios, while offering major sustainability advantages as bioderived and renewable materials. However, the natural fibers’ susceptibility to moisture uptake and degradation currently limits their use in many structural applications. Plastination presents a promising approach to […]

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Reprocessing ‘Single Use’ Video Laryngoscope Blades: A Proof-of Concept Study

Plastic video laryngoscope blades are essential tools that doctors use to help patients breathe during surgery. Like many other medical devices, these blades are made from strong plastics but are meant to be used only once and then thrown away to prevent contamination and protect patient safety. This research project will investigate whether single-use plastic […]

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Reinforcement Learning Based Assistive Robotic Arm Control and Path Planning Automization

This project aims to make assistive robots smarter and easier to use for people with limited mobility. Researchers will develop a new type of control system for a wheelchair-mounted robotic arm that helps users complete everyday tasks like grabbing objects, opening drawers, or pressing buttons. Using advanced artificial intelligence, the system will learn through realistic […]

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MoCaP–ScoRe: Markerless Motion Capture for Precision Scoliosis Rehabilitation

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 […]

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Bridging Symbolic and Audio Spaces for Interactive Music Generation

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 […]

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Self-Efficacy for Creative Innovators in Canada

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 […]

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AI-assisted image segmentation and registration for spine navigation systems

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 […]

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