Innovative PhD Researcher student at Bournemouth University, spearheading cutting-edge investigations into AI-driven detection of Chronic Obstructive Pulmonary Disease (COPD) using stethoscope audio analysis. Leveraging advanced techniques in compressed sensing, signal reconstruction, and subspace methods to push the body of knowledge in COPD diagnosis and severity assessment in alignment with GOLD guidelines.Key Competencies:• Artificial Intelligence & Machine Learning• Signal Processing & Data Mining• Computer Vision & Cloud Development• Accessible Design & User-Centred ApproachesAs a BSc Computing with First Class Honours graduate from Bournemouth University, I bring expertise in data management, application programming, and computer networking. Proficient in Java, Python, SQL, and web programming languages, with hands-on experience in Cisco OS network management.Professional Affiliations:• British Computer Society (BCS) - Professional Member• Institute of Electrical and Electronics Engineers (IEEE) - MemberDrawing from my personal experience as a legally blind individual, I've cultivated extensive expertise in accessibility design, universal design principles, and their practical implementation. This unique perspective fuels my passion for harnessing computing and data science to enhance health outcomes and quality of life for individuals with disabilities and chronic conditions.Beyond academia, I'm an avid adventurer and advocate for inclusive design, having completed the London Marathon, engaged in water skiing and sky-diving, and delivered impactful talks on accessibility.Committed to pushing the boundaries of technology in healthcare, I'm eager to collaborate on projects that merge innovation with social impact. Let's connect to explore how we can drive positive change through cutting-edge research and inclusive technological solutions.