Examining outcomes for individual and group based CBT-T for eating disorders

Cognitive behavior therapy ten (CBT-T) is a less resource-intensive, more accessible version of traditional CBT for eating disorders that has been found to be equivalent for improving eating disorder symptoms to traditional treatment. To further improve treatment accessibility, CBT-T can be done in a group format with up to 10 patients. The Nova Scotia Health […]

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AI Integration in Immigration Services: Enhancing Public Service with Data Pipelines, Data Lakes, LLMs, and Prompt Engineering

The primary objective of this project is to utilize artificial intelligence to support individuals intending to immigrate to Canada by providing real-time, accurate information, personalized assistance, and comprehensive guidance throughout their immigration journey. The project aims to ensure that prospective immigrants have their questions answered promptly and are well-informed about the necessary steps to meet […]

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Epigenetic modulators as targets in recurrent glioblastoma

Glioblastoma (GBM) is the most common brain cancer in adults. Despite undergoing extensive treatment, patients with GBM typically have a dismal survival rate of only 12-16 months. Furthermore, many patients eventually experience tumor relapse. Proteins such as epigenetic modulators function to change how genes are activated in DNA without altering the genetic code. Inhibiting such […]

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Global Country Risk Assessment and Selection

This project will involve the calculation of a global country risk measure for each of the 45 countries included in MSCI All Country World Index. Two alternative approaches will be used to develop our measures. The first is based on market segmentation and will use, for each country, the GICS industry group data consisting of […]

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Investigating Arctic Ringed Seal (Pusa hispida) Haul-Out Behaviours Through Acoustic and Photo Analysis

This research project focuses on understanding how ringed seals communicate during haul-out events in the Northwest Territories. Ringed seals are vital to Arctic ecosystems but face threats from climate change and increased shipping. By analyzing acoustic and photo data provided by our partner organization, we aim to discover if these seals change their vocalizations when […]

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Using Historical Aerial Photography to Identify River Changes as related to Forestry Practices in Musgamagw Dzawada’enuxw Territory

The decline of Pacific salmon on the south and central coast of British Columbia has resulted in well-recognized economic, ecological, and cultural impacts. Numerous factors are considered to have contributed, including marine conditions, climate change, and changes to freshwater habitats. Forest harvesting is often considered to have altered freshwater habitats where salmon spawn and rear […]

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Multivariable Industrial Alarm Monitoring and Management

This project aims to develop, evaluate, and apply advanced solutions and techniques for assisting industrial plant operators in decision-making during abnormal situations, thereby improving plant safety and reliability. Currently, plant operators receive too many alarms, making it difficult to respond effectively. In industrial facilities, developing strategies for sustainable Environmental, Health, and Safety (EH&S) performance and […]

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Enhance teaching methodologies and learning by leveraging collaborative software

Smart or intelligent classrooms utilize advanced interactive technologies to support instructors and learners in a hybrid learning environment. However, effectively integrating these technologies with the instructors’ curriculum and aligning them with students’ needs remains a challenge. Distinct from typical hybrid learning platforms, X2O’s OneRoom is designed to preserve the learning experiences of online students and […]

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Prévision de la charge électrique dans un système de contrôle en boucle fermée

La prévision de la charge, ou de la demande électrique, est une activité fondamentale pour les utilités électriques et en particulier pour Hydro-Québec. Dans un contexte opérationnel, elle vise à prévoir sur un horizon de temps relativement court, typiquement 24 ou 48 heures la quantité d’électricité qui sera consommée par un ensemble de clients donnés. […]

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Addressing Endogeneity in count data using a two-stage copula generated regressor approach

This research project addresses a common problem in studying medical data: understanding the true effects of different treatments when the data is not from a controlled experiment. Specifically, we are looking at patients with systemic lupus erythematosus (SLE) and the number of infections they get. Often, traditional methods need special, hard-to-find data to ensure accurate […]

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Virtual Home Staging with Generative Artificial Intelligence (GenAI)

This proposal aims to revolutionize the process of virtual home staging by using advanced technology called Generative Artificial Intelligence (GenAI). Traditional staging, which involves professionals arranging furniture and decorations in a home to make it more attractive to buyers, can be expensive and time-consuming. By harnessing GenAI, we can speed up this process and reduce […]

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