Path planning algorithm design for autonomous surveillance and coverage task

This project aims to develop a system that improves how robots with restricted operating ranges plan their indoor paths for cleaning or surveying. By dividing indoor spaces into manageable areas, the system will enable robots to complete their jobs more efficiently, optimally covering all necessary ground. This project involves both algorithm development and its implementation […]

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Design and Implementation of a Type System for Enhanced Mathematical Operations in Rings

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 […]

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Evaluating LLMs for Sentence Encoding and Clustering to support Thematic Analysis in Qualitative Research

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 […]

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Exploring Age-Related Changes in Multisensory Integration using Machine Learning tools

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, […]

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Boost Collective

We aim to revolutionize the way independent artists distribute and promote their music. By leveraging AI and the latest React technologies, the project addresses the critical challenges of visibility and engagement that artists face in the digital era. Patrick will develop an AI-powered metadata form and an analytics dashboard to provide artists with actionable insights […]

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Developing an AI editing system for short-form and long-form multilingual video distribution

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 […]

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Upholding Truth and Reconciliation: Correlates and causes of ongoing Indigenous cases and gaps in mental health services in child welfare in the Waterloo Region

What are the causes and correlates of Indigenous children disengaging with the child welfare system of the Waterloo region? Are child welfare agencies in the Waterloo region promoting Indigenous mental health by upholding the principles within the Truth and Reconciliation’s calls to action? What preventative measures were taken to prevent disengagement of Indigenous children and […]

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Role of local knowledge and adaptation to environmental change: A case study of Chilika Lagoon small scale fishery, India

This project is based on how the fisher community of Chilika Lagoon, India cope with and adapt to the degrading social, ecological and economic conditions in the lagoon. Using Local ecological knowledge I will analyse environmental changes, their drivers and the impacts on the local fisher communities. Further, I will analyse the adaptation strategies used […]

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COO

The project will focus on using AI to make better credit decisions for businesses. By looking closely at lots of company data, like financial records, the intern will help create smart computer programs that can quickly tell which businesses are good to lend to. This will make NetNow’s process of deciding who gets credit faster […]

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