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MY RESEARCH PROJECTS

My research focuses on the development of advanced AI solutions for solving challenging healthcare problems such as disease identification, patient treatment, and monitoring. I am currently working on several projects in this field and have received funding for them.

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This prestigious award endorses our research into ultra-efficient AI. The aim of the project is to develop AI technologies that can automate time-consuming manual tasks, typically performed by human raters, for quality checking, analysis, and validation of results in neurology clinical trials. By doing so, we expect to expedite neurological clinical trials, bring ultra-efficiency to image analysis, and improve the lives of patients living with neurological disorders worldwide.

UKRI - Innovate UK

1/02/21 → 31/01/24

Funding: £225.531

Virtual and Augmented Reality Interfaces for Artificial Intelligence Enhanced Decision-Making Processes

This project aims to study and develop more advanced user interfaces for computer-aided decision-making processes, utilizing 3D/360 visualization, wearable and immersive displays, virtual and augmented reality technologies, eye-tracking, and HCI design solutions. The goal is to investigate new methods to enhance tele-presence and situational awareness in tele-exploration and tele-intervention.

Elettronica SPA (IT)

1/10/20 → 30/06/24

Two PhD studentships are being sponsored for this project

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iDOC: Artificial Intelligence Empowered Document Authoring

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The aim of the project is to develop an AI-powered document authoring tool that streamlines the process of creating and editing documents. The tool uses advanced AI algorithms to understand the context and meaning of the content, and suggests relevant and accurate information to improve the overall quality of the document. The tool will be particularly beneficial for businesses and organizations that rely heavily on document creation and editing, such as legal firms, consulting firms, and government agencies. 

UKRI - Innovate UK - KTP with Sonovision

1/02/23 → 31/07/25

Funding: £194.743

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