Papers
10
Total Citations
90
H-Index
5
About
Sehat Ullah is a versatile researcher whose work spans augmented reality, collaborative virtual environments, and cutting-edge healthcare technology, with a particular focus on integrating robotics and digital intelligence into real-world applications. His early contributions explored the foundations of marker-based tracking for augmented reality systems, including influential analyses of fiducial marker attributes, ARToolKit optimization, and inter-marker confusion reduction — work that remains relevant to robot navigation and 3D modeling applications. He also investigated human performance in cooperative virtual environments, examining how visual aids and communication modalities affect collaborative teleoperation tasks. More recently, Ullah has emerged as a significant contributor to the field of remote patient monitoring, pioneering the integration of Digital Twins (DTs) with the Internet of Robotic Things (IoRT). His 2023 paper on DTs-based IoRT for COVID-19 remote health monitoring has garnered 48 citations, demonstrating substantial community impact. He has since extended this framework to incorporate machine learning and autonomous control, advancing intelligent, contactless patient care solutions. Collectively, his body of work reflects a compelling trajectory — from foundational human-computer interaction research toward transformative applications in smart healthcare, positioning him as an innovative bridge-builder between robotics, virtual environments, and medical technology.
Research Focus
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Top Papers
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- 10Sharp-Edged, De-noised, and Distinct (SDD) Marker Creation for ARToolKit3 citations · 2014