Shahid Nawaz Khan

Papers

1

Total Citations

2

H-Index

1

About

Shahid Nawaz Khan is a rising researcher in the field of advanced sensor technology and robotics, with a specialized focus on humanoid hand sensing and control. His most-cited work introduces a novel approach for sensing humanoid hand finger positions using non-contact Tunnel Magnetoresistance (TMR) sensors, addressing a critical challenge in robotic dexterity. By leveraging TMR technology, Khan’s research enables more robust, precise, and durable finger position detection without physical contact, overcoming limitations of traditional sensors. This contribution is vital for applications in prosthetics, industrial automation, and human-robot interaction, where reliable hand gesture and position feedback is essential. Although early in his career, with his top paper garnering 2 citations, Khan’s work represents a promising step toward more resilient robotic systems. His research bridges the gap between magnetic sensing innovations and practical robotic implementation, offering a foundation for future advancements in non-contact sensing. As the field of magnetoresistance technology expands rapidly, Khan’s contributions position him as a developing expert in integrating novel sensor modalities into humanoid robotics, with potential to significantly impact assistive and autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Novel Approach for Sensing the Humanoid Hand Finger Position Using Non-contact TMR Sensor
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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