Anthony Nepomuceno
Papers
2
Total Citations
10
H-Index
2
About
Anthony Nepomuceno is a pioneering researcher at the intersection of digital twin technology, healthcare systems engineering, and human-robot interaction. His work focuses on developing advanced simulation frameworks to transform critical care delivery, particularly in intensive care units. Nepomuceno’s major contribution is the creation of a digital-twin co-simulation framework that integrates discrete event simulation with real-time digital replicas of clinical environments. This proof-of-concept enables informed decision-making in healthcare planning by modeling the complex interactions between care providers and robotic systems. His 2024 paper on this framework has already garnered 8 citations, signaling growing interest in its applications. Earlier, he proposed the “Extensive Simulation” paradigm—an immersive digital-twin approach for high-precision analysis of human-robot interaction in tele-ICU settings. This work, published in 2022, lays the groundwork for safer, more efficient remote critical care. By bridging virtual modeling with real-time clinical operations, Nepomuceno is helping to shape the future of smart hospitals, where data-driven simulations support everything from staffing decisions to robotic assistance. His research stands at the forefront of digital transformation in medicine, offering tangible tools for improving patient outcomes and operational efficiency.
Research Focus
Key Achievements
Top Papers
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