AI for Laparoscopic Cholecystectomy decision support

My project’s goal is to improve the model, which predicts in real-time zones, where it is safe to dissect during laparoscopic surgery. I am going to work on the ways to mitigate tool bias of the current model, as it presence could result into misleading of the surgeon, who performs an operation and, as a […]

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Expanding sustainable commuting designation across Canada

pointA is seeking an intern to provide a marketing and sales support to develop a strategy to expand its Best Workplaces for Commuters designation, which was developed by the US Department of Transportation and Environmental Protection Agency in 1999. pointA is the first Canadian partner to bring this designation to Canada to provide employers of […]

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Utilizing pre-trained vision models for object-centric reinforcement learning

The way humans perceive their surroundings relies heavily on some sort of decomposition of those into smaller atomized entities (objects, or parts of objects). This allows for complex reasoning and prediction capabilities which are mostly seen as mundane in humans but are still a challenge to propagate to artificial systems. My project wants to explore […]

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A Novel Design of High Temperature Ultrasonic Transducers, Manufacturing, and Testing

The project objective is to design and manufacture ultrasonic sensors capable of operating at temperatures up to 800 oC. Such transducers can be affixed to hot piping systems and pressure vessels in petrochemical plants, electrical power generating stations, and manufacturing plants. These sensors can then provide continuous information to the plant operator regarding the onset […]

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Assessment of correlations between consumption of non-target prey items and lice cleaning efficiency of lumpfish of different sizes inside Canadian Atlantic salmon production sea cages using morphological and metabarcoding techniques.

Salmon aquaculture loses money when the salmon being farmed are infested by small parasites called “sea lice”. In Newfoundland Atlantic salmon aquaculture farms, the most common type of sea lice is the salmon louse. They can greatly reduce the number of salmon produced and cause health issues for the salmon. To manage the sea lice […]

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Kyiv at War: Frontier, Conflict, and Urban Text

The project (future monograph) will investigate representations of Kyiv in Ukrainian and Russian literatures and media of the past two decades in the broader context of the cultural history of the city and text of Kyiv in the modern epoch. I will examine how Ukrainian and Russian intellectuals, writers, and activists have conceptualized and claimed […]

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Biomolecular Structure Analysis to Accelerate Development of New Vaccines and Monoclonal Antibodies

Manufacturing of consistently high quality products is the commitment of pharmaceutical industry. To achieve this, new products must be thoroughly tested and the results meet government-approved product specifications. Improving existing and adopting improved analytical technologies for product testing ensure the production of safe and effective products. This is particularly critical for the manufacturing of biologic […]

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SARS-CoV-2 Vaccine Strategies

As the SARS-CoV-2 virus mutates over time and variants emerge, it is crucial to stay ahead to keep the public safe. This research aims at capturing new variants that emerge and test them against the current therapies and vaccines in place as well as develop the next generation of vaccines and therapeutics to keep the […]

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Breaking Boundaries: AI-Driven Documentation at KidsAbility

Currently, KidsAbility therapists spend a substantial portion of their time on indirect client activities, primarily focused on creating extensive reports and notes that detail each child’s progress. For every minute spent with a client, clinicians spend up to two minutes writing these important documents. This process, while crucial, is time-consuming and diverts valuable resources from […]

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Automated Analysis of Call Transcripts Using Large Language Models

Analysis of customer service call transcripts can be challenging due to high volumes of unstructured textual data. To overcome this challenge, Co-operators Insurance Group seeks to explores the application of large language models (LLMs) such as GPT3 in analyzing call transcripts to extract structured data to be used in further modelling. Specifically, the project aims […]

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