Targeting bacteriophage delivery of reprogramming transcription factor gene(s) to astrocytes in CNS by Intelligent Phagemid-Assembled Gene Expression (iPhAGE) technology

This project aims to develop a method for delivering reprogramming transcription factor genes to astrocytes in the central nervous system using Intelligent Phagemid-Assembled Gene Expression (iPhAGE) technology. By constructing specific gene blocks and fusion helper plasmids, synthesizing iPhAGE DNA, and purifying iPhAGE preparations, the project seeks to enhance transfection efficiency and assess immune responses and […]

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Developing Data Strategies to Enable Healthcare Machine Learning

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 […]

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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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