Surbhi Bhatia Khan
Papers
1
Total Citations
2
H-Index
1
About
Surbhi Bhatia Khan is a leading researcher at the intersection of artificial intelligence, cyber-physical systems, and smart manufacturing. Her work focuses on integrating digital twin technology with cyber-physical systems to create intelligent, autonomous environments that can communicate and respond to human needs in real time. In her highly cited 2024 study, "Smart Manufacturing with a Digital Twin–Driven Cyber-physical System," Khan demonstrates how these integrated systems can revolutionize fields ranging from medical monitoring and process control to robotics and autonomous avionics. Though early in its citation lifecycle, this work has already garnered 2 citations, signaling its growing influence in the smart systems community. Khan’s contributions are particularly notable for bridging theoretical frameworks with practical application scenarios, offering a blueprint for next-generation manufacturing that is both adaptive and efficient. Her research is essential reading for students and engineers seeking to understand how digital twins and cyber-physical architectures are reshaping industrial automation and intelligent system design.
Research Focus
Key Achievements
Top Papers
- 1