Data Visualization Incorporating Social Collaboration for Asset Management

Through this research project the intern will investigate the potential of data visualization incorporating a social collaboration element tied to typical data types in asset management. The partner organization Riva Modeling Systems will benefit from the proposed research by providing its clients with an enhanced asset management tool that allows various groups or individuals within […]

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Development of normal physiological behaviour classification using multi-modal biomarker dataset towards machine learning-driven medical devices.

This project aims to develop a large, labelled dataset of normal canine behaviour for use in developing machine learning algorithms to detect abnormal animal physiological behaviour. These machine learning algorithms will enable veterinarians to collect high-quality data of their patients in their natural environments. This innovative solution has the potential to improve the quality of […]

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Asset Management using machine learning techniques

Perform an exploratory research to investigate the potential to extract knowledge by aggregating historical data across the company’s clients and applying machine learning techniques on them. The goal is to device prediction models that can forecast the condition of certain events(such as life of pipelines) using statistical analysis. Riva Modeling( partner organization) will benefit from […]

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Analysis of the Evolution of Early Streaming Services: Development, Successful Strategies, and Future Directions. Case Study of Netflix, Disney+, and Amazon Prime Video.

This project explores the evolution and strategic development of early streaming services, including Netflix, Disney +, and Amazon Prime Video. The aim is to study the technological, social, and economic catalysts that have defined the landscape of digital media consumption. An in-depth analysis of these largest platforms’ growth tactics and operational activities will reveal the […]

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Big Data Processing and Analysis

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 […]

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Software Tools for Discovering Quantum Computing Applications (Differential Equations Focus)

A lot of industries rely on solving complex mathematical problems to improve their processes and design their products. Non-linear differential equations are often essential for making advancements. However, solving these equations with traditional computers is extremely challenging and resource intensive. Current computing methods struggle with these complex equations, leading to high energy use, long development […]

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Big Data Processing and Analysis

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 […]

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Contrast reduction in coronary catheterization procedures through Artificial Intelligence (AI) analysis of coronary angiograms.

This invention is a software that integrates artificial intelligence (AI) to improve the way contrast media is injected into coronary arteries during medical procedures. It focuses on using the first contrast injection to determine the exact amount needed for further injections in either the left or right coronary artery. This means that the software can […]

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Beyond the Book

The ultimate aim of this project is to design and develop methods and tools for classifying attributes of books such as genre, style, tone, and likelihood of being popular. Towards this end we will make use of various information types available on books and users of the Kobo catalog, including the text, meta-data associated with […]

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LLMs for Research

Large language models (LLMs) like ChatGPT have proven to be extremely effective at generating useful responses to a wide variety of user’s questions. However, they often struggle to generate meaningful and accurate responses to questions that are highly specialized, context-dependent, and requiring long-term attention. The goal of this project is to apply LLMs to accelerate […]

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