Ghanshyam G. Tejani

Jadara University, Applied Science Private University

Papers

Total Citations

H-Index

About

Ghanshyam G. Tejani is a leading researcher at the frontier of cyber-physical systems and intelligent robotics, with a dual focus on securing autonomous platforms and advancing human-machine interaction. His work is pivotal in two high-impact areas: cybersecurity for robotic systems and biomedical signal processing for assistive technologies. In his most cited paper (7 citations, 2025), Tejani addresses the critical challenge of integrating data security with operational efficiency in robotic-driven sectors like manufacturing, healthcare, and logistics, proposing novel protocols for real-time threat mitigation. His second major contribution (1 citation, 2025) tackles the pressing need for accurate bionic hand control, introducing BioMotionNet—a deep learning framework that combines U3AR-Net segmentation with hybrid optimization to overcome noise, segmentation errors, and computational inefficiency. This work directly advances prosthetics and assistive robotics, offering a path toward more responsive, real-world applications. Tejani’s research not only pushes the boundaries of secure, autonomous systems but also demonstrates a clear translational impact, bridging theoretical innovation with practical deployment in safety-critical environments. His growing citation record underscores his emerging influence in both cybersecurity and rehabilitation engineering.