Arshad Khan

Hamad bin Khalifa University, Zero to Three

Papers

3

Total Citations

38

H-Index

3

About

Arshad Khan is at the forefront of wearable sensor technology and intelligent robotic systems, pioneering innovations that bridge flexible electronics with real-world applications. His research primarily focuses on developing ultra-thin, skin-conformable sensors for healthcare and soft robotics, as well as optimizing autonomous systems for precision agriculture. Khan’s most cited work, a 2023 study on a wearable printed body temperature sensor using silver interdigitated electrodes and carbon-sensing film (23 citations), demonstrates his ability to enhance sensor performance for early disease detection. He further advanced the field with inkjet-printed ultra-thin strain sensors (8 citations), enabling seamless integration with soft, wearable electronics for health monitoring and human-machine interfaces. Expanding into robotics, Khan’s 2024 research on optimizing robotic operation speed via 5G edge computing for selective harvesting (7 citations) addresses critical labor shortages in agriculture, offering insights into autonomous strawberry harvesting. His contributions are notable for their interdisciplinary impact, merging materials science, printing technologies, and edge computing to create practical, scalable solutions. With a growing citation record and a focus on real-world deployment, Khan is shaping the future of wearable health tech and intelligent automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
38
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Performance Optimization of Wearable Printed Human Body Temperature Sensor Based on Silver Interdigitated Electrode and Carbon-Sensing Film
23 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Hamad bin Khalifa University, Zero to Three

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago