Funding Project

Funding Project - Research Based

Throughout my career as an R&D Engineer, I have worked on several funded projects aimed at addressing critical technological challenges. These projects span diverse fields, including artificial intelligence, machine learning, and health informatics, extended reality, driving forward innovative solutions to real-world problems. My involvement has ranged from algorithm development to system implementation, ensuring impactful research outcomes.

Project No -3: NeuroXRFitness: A game-changing artificial intelligence (AI)-enabled and gamified extended reality (XR) technology for digital mental health using music therapy.

This project aims to co-design an AI-based Television-Enabled Application (TEA) to combat loneliness among older people in Essex and Cornwall. TEA adapts home televisions to connect users with befriending services, overcoming barriers like isolation and technology anxiety. The initiative will provide valuable insights into befriending models and their impact on loneliness in older adults.

Project Details:

Project: UK Research and Innovation (Ref. 10051382)
Principle Investigator: Md Mahmudul Hasan
My Role: R&D Engineer
Funded Value: £70,000
Time-Period: Mar 2023- Sept 2023
Project URL: https://gtr.ukri.org/projects?ref=10051382

Project No -2: A feasibility study of co-developing an AI-based television-enabled application (TEA) to address social isolation and alleviating loneliness in older people.

This project aims to co-design an AI-based Television-Enabled Application (TEA) to combat loneliness among older people in Essex and Cornwall. TEA adapts home televisions to connect users with befriending services, overcoming barriers like isolation and technology anxiety. The initiative will provide valuable insights into befriending models and their impact on loneliness in older adults.

Project Details:

Project: UK Research and Innovation (Ref. 10016137)
Principle Investigator: Md Mahmudul Hasan
My Role: R&D Engineer
Funded Value: £50,000
Time-Period: Mar 2022 - Mar 2023
Project URL: https://gtr.ukri.org/projects?ref=10016137#/tabOverview

Project No -1: A Study of Identifying Fish Diseases and Analysing Water Quality using AI-enabled Mobile App to Increase Fish Production in Rural Villages through Global Cooperation.

This project introduces an AI-powered gamified mobile app to analyze water quality and diagnose fish diseases in Cambodia’s fisheries. Using image processing and real-time tests, it aims to improve fish production and sustainability. The project is scalable to other least developed countries, contributing to global food security and poverty reduction.

Project Details:

Project: UK Research and Innovation (Ref. 10019472)
Principle Investigator: Md Mahmudul Hasan
My Role: R&D Engineer
Funded Value: £22,000
Time-Period: Jan 2022 - Mar 2022
Project URL: https://gtr.ukri.org/projects?ref=10019472