Computer-assisted planning of liver surgery

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 […]

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Statistical aspects of Optimal Transport

This proposal explores the use of optimal transport in statistics and machine learning as well as develop one simple application in chemistry. Optimal transport is a well established mathematical field whose actors have gone to receive the most prestigious recognitions. Its inventor, Leonid Kantorovich, received the Nobel Prize in Economics. Cedric Villani, who wrote the […]

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Guidance, Navigation, and Control for Autonomous Spacecraft Docking

Current spacecraft rendezvous, proximity operations, and docking systems typically rely on human-monitored or controlled Guidance, Navigation, and Control (GNC) systems. This project focuses on an autonomous GNC system specifically for spacecraft rendezvous, proximity operations, and docking applications. Autonomous systems are advantageous as they allow for operation without human intervention, do not rely on intermittent communication […]

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Proxemics-Aware Agents for Everyday Activities

Artificial Intelligence (AI) is becoming more and more ubiquitous with each passing day. Our goal in this project is to enhance human-AI interaction by exploring ways in which proxemics can help drive and support the interaction. We want to create more intuitive and user friendly agents that are aware of one’s context and proxemics in […]

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BSI-SMU – Chef and customer onboarding optimization

Easy Platter is looking to scale nationally. For which, we need to meet 2 primary objectives: 1) Build a chef onboarding platform that enables chefs across Canada to sign up 2) Optimize the customer journey by creating stickiness on the platform This project is key for Easy Platter as we move from a NS based […]

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Improving Modern Code Review Practices through Gamification

Modern code review (MCR) is broadly adopted as an established and effective software quality assurance practice, with an increasing number of open-source as well as commercial software projects that adopt code review as a crucial practice. The MCR process is most effective when developers follow best practices, such as efficient, collaborative and timely review discussions […]

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Incorporating Pruning Methods in GAN and Diffusion-based Models

Due to the widespread use of credit cards as a payment method, numerous fraudulent credit card transactions occur, resulting in significant losses for financial institutions. At a high level, the fundamental objective of the project is to improve the performance of fraud detection systems by providing high-quality synthetic data generated by improved deep generative models. […]

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Computational Scanning of lmidazolium-based Anion Exchange Membrane materials

One promising approach for the advancement of both fuel cells and electrolyzers is the incorporation of anion exchange membranes. These would provide many potential benefits, such as a significantly decrease cost as they do not rely on expensive precious metal catalysts. However, anion exchange membranes still face multiple challenges, one of them being their chemical […]

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Predicting readmission and recovery rates of psychiatry patients in mental health facilities within Canada: A machine learning approach

Hospital readmission from in-patient psychiatry is increasingly problematic for patients and care administrators, as they often are associated with poor clinical outcomes and higher care costs. An understanding of factors that predispose in-patient psychiatry patients to hospital readmission would be critical in improving patient care and reducing healthcare-related costs. My research proposes to use machine […]

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