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About

Sangeen Khan is an emerging researcher at the intersection of healthcare technology, robotics, and artificial intelligence, with a focused expertise in Digital Twins (DTs), the Internet of Robotic Things (IoRT), and remote patient monitoring systems. His most impactful work addresses one of modern medicine's pressing challenges: delivering effective patient care without physical contact, a need dramatically underscored by the COVID-19 pandemic. Khan's most cited contribution, "Digital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients" (2023, 48 citations), pioneered the integration of digital twin technology with robotic systems to create dynamic virtual replicas capable of real-time patient monitoring. Building on this foundation, his subsequent research introduced machine learning capabilities into these frameworks, enabling autonomous, intelligent decision-making in clinical environments—reducing the physical and psychological burden placed on healthcare professionals during extended monitoring shifts. His growing body of work demonstrates a clear trajectory: progressively enhancing remote monitoring systems from passive data replication toward fully autonomous, intelligent robotic healthcare solutions. With over 59 cumulative citations across just three years of publication, Khan's research is gaining meaningful traction in the biomedical engineering and smart healthcare communities, positioning him as a promising voice in next-generation connected health infrastructure.