Developing AI Models for Instrument-Tissue Force Prediction in Neurosurgery

This project aims to explore whether brain tissue deformation, observed through a surgical microscope, can be used to estimate instrument-brain contact forces during epilepsy surgery. Two interns will work on key aspects: one will develop computer vision techniques to track tissue deformations in real time, while the other will create machine learning models to translate […]

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Portrait stylization

This project explores how AI can create expressive, stylized portraits while keeping a person’s identity and emotions intact. By developing advanced AI models, it will help artists, enhance digital content creation, and support industries like entertainment, advertising, and cultural heritage. The technology can be used in museums for interactive exhibits, in film and gaming for […]

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Uncovering the genetic basis of adaptation during the course of rapid experimental evolution in nature

Nature is experiencing an ever-changing world where dramatic environmental changes require species to adapt rapidly to new conditions. As a result, understanding when species can rapidly adapt and persist has become crucial to ensuring the preservation of vulnerable populations such as freshwater ecosystems. The current project addresses our limited understanding of the parallelism of adaptation […]

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In vitro three dimensional models of breast cancer-cell metastasis to bone.

This MITACS Globalink Award research proposal aims to engineer and characterize biomimetic dense collagenous gels as in vitro models for studying breast cancer metastasis to bone. At McGill, we have advanced the Gel Aspiration-Ejection (GAE) technique, a robust and simple method to create 3D anisotropic, cellular dense collagen (DC) gels. By applying negative pressure, collagen […]

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Applicability of functional size measurement to quantum error correction software

The primary objective of this research is to measure error correction schemes in quantum computing and their impact on the functional size of quantum software. By analyzing various Quantum Error Correction (QEC) methods, the research aims to optimize quantum software measurement and development. Additionally, a key goal is to define specifications for an automated tool […]

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