Understanding which genes are involved in diseases is incredibly important because it helps us develop better treatments. By identifying these genes, scientists can better understand how diseases operate in our bodies and create more effective treatments. This also allows for the creation of personalized treatments based on a person’s unique genes, increasing their chances of […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

Addictive Mobility is a leading online advertising company in Canada. The success of ad campaigns drives the majority of the company revenue. Exploring advanced machine-learning techniques to efficiently control an ad’s performance is crucial to the company strategy. The objective of the proposed project is to optimize the real-time bidding system in the sense that […]

The project “Design and Implementation of a Type System for Enhanced Mathematical Operations in Rings” aims to develop a Java library with a straightforward application programming interface (API) that simplifies complex mathematical computations within rings, including solving matrix equations. While this library is designed as a part for the bigger research project called “Symmetric system […]

Addictive Mobility is a leading (Big Data) online advertising company in Canada. They use real-time bidding (RTB) platform for online display advertising in mobile devices, where multiple companies compete to show a certain Ad to a specific user at a certain time. The goal is to optimize the system such that they minimize the cost […]

The project “Evaluating LLMs for Sentence Encoding and Clustering to support Thematic Analysis in Qualitative Research” aims to provide qualitative researchers with advanced machine learning techniques for social media data analysis while maintaining autonomy and ownership of their data analysis. By benchmarking modern Language and Large Language Models against established metrics such as coherence and […]

The project “Exploring Age-Related Changes in Multisensory Integration using Machine Learning tools” aims to investigate how changes in neurotransmitter concentrations influence the way young and older adults integrate multisensory information and perceive time. Its main method of investigation involves applying machine learning tools to analyze the extensive dataset collected from behavioral tasks, Magnetic Resonance Spectroscopy, […]

Physicians in Canada spend significant time on administrative tasks, including completing paperwork that requires filling out various forms in different formats. It is estimated that most physicians spend about 19 hours per week on paperwork. Such demands not only lead to burnout but also detract from patient care. Moreover, this additional workload is also an […]

Our project addresses the critical challenge in the Canadian labour market: the mismatch between the demand for talent and the availability of skilled individuals to fulfill economic priorities. With Canada facing prolonged labour shortages across various sectors due to demographic shifts, this initiative seeks to bridge the gap by leveraging AI to analyze and match […]

Inspired by how birds fly, Shearwater Aerospace applies AI technology to make drones fly faster and stay in the air much longer. Their autonomous operating system, Smart Flight, enables scalable, adaptive and resilient drone operations by coordinating drones and generating dynamic flight routes that leverage wind energy. This enables drones to fly 25% faster in […]

Momentum Health is an AI-based digital health platform for remote spine care management. From a 45-second video taken on a smartphone, their technology creates a photo-realistic 3D Model of the patient’s body and using AI predicts the degrees of spinal curvature and assesses the patient’s spinal deformity from the surface topography. They were co-founded by […]

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