معرفی
Pireh Pirzada is a Lecturer in Computer Science at the School of Electronic Engineering and Computer Science, Queen Mary University of London. Her research focuses on digital health technologies, particularly remote photoplethysmography (rPPG), computer vision, and smart home/IoT systems for health monitoring. She actively explores ethical implications of AI, including data bias in health technologies, and has contributed to software engineering projects in commercial domains such as HR, business, and e-commerce systems.
- Research Keywords: Digital Health, Computer Vision, Smart Home Systems, AI Ethics, Software Architecture
- Teaching: AI Foundations and Applications, Operating System, Digital Audio Fundamentals, Object Oriented Programming
Research Trends: Her recent publications emphasize advancements in rPPG for physiological signal extraction, ethical challenges in smart home adoption for elderly care, and innovations in gesture recognition for special education. These works bridge computer science with healthcare, accessibility, and ethical AI frameworks.
Public Engagement: Pirzada collaborates with healthcare stakeholders like Beyond Medics and the NHS on digital health projects. She engages in media outreach, including appearances on LeaderTV and FM105 Radio, and delivers guest lectures and workshops on AI, PhD pathways, and entrepreneurship.
