The project “Developing Data Strategies to Enable Healthcare Machine Learning” aims to develop effective strategies to collect, curate, and maintain data in healthcare. A data strategy which enables Artificial Intelligence (AI)/Machine Learning (ML) models plays a pivotal role in building response healthcare solutions. The project is focused on understanding the fairness aspects of care quality […]

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 […]

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 […]

Reconfigurable intelligent surfaces (RISs) have emerged as a transformative technology in the sixth-generation (6G) wireless communications. The RIS technology can easily be realized in local area networks and disaster management scenarios where ad-hoc local area networks need to be setup to ensure mission-critical connectivity. The objective of this project is to develop the techniques to […]

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 […]

Mental health remains a significant concern in North America, youth mental health is a particular focus due to academic pressure, social media use, and bullying. SOASIS offers a physical meditation pod and a cellphone application for users to take a short break or customized self care experience, combining AI technology to simulate a holistic user-friendly […]

Our solution, AthleteAid is an mobile-app based service which compiles tried and tested medical decision rules and advice into a condensed, easy to follow step by step protocols. These protocols will alleviate stress and provide guidance for parents and coaches making decisions as well as reduce the amount of costly and unneccearry hospital trips. Using […]

The proposed research aims at developing control strategies under the paradigm of Demand Response (DR) in the context of the Smart Grid in order to improve energy efficiency and to reduce operational cost in commercial buildings and communities. The emphasis will be put on consumer side energy management strategies that able to balance energy demand […]

We will research and explore ways of tracking user behavior on a mobile application, as well as being able to remotely update the application without having to update program code. Thus we aim to provide developers with tools and options when it comes to customizing their application depending on user behavior and environments. Meanwhile the […]

Living-off-the-land binaries (LOLBins) refer to legitimate executables pre-installed with the operating system, like powershell.exe and certutil.exe, exploited by attackers for sophisticated fileless attacks. These attacks, leveraging LOLBins, are often undetectable and pose challenges for detection, incident response, and threat hunting. Microsoft Copilot’s integration as a default tool in Windows 11 adds complexity to the threat […]

We want to analyze the data collected about customers in order to better understand their behavior. Such an analysis could reveal which advertisements are more likely to interest the customers, what is the return on investment of an advertisement and what are the advertisements tactics that are the most successful. The advances in machine learning, […]

The project focuses on creating Aview AI, an AI editing tool to bridge the language barrier for content creators expanding globally. This initiative builds upon previous work in AI for content distribution, emphasizing editing tools for seamless transcription, translation, and dubbing. Expected to enhance Aview’s platform, it will equip creators to reach worldwide audiences, boosting […]