Papers

6

Total Citations

139

H-Index

5

About

Saman Azhari is pioneering the convergence of nanomaterials and neuromorphic computing, with a focus on developing intelligent tactile sensing systems. His research centers on creating hardware-based machine intelligence through in-materio reservoir computing, where he has demonstrated that random networks of carbon nanotubes and porphyrin-polyoxometalate can physically compute—a breakthrough that earned 57 citations for its demonstration of robot-based object classification. Azhari has also made significant contributions to haptic sensor technology, fabricating piezoresistive pressure sensors using CNT/PDMS nanocomposites that mimic the human fingertip for humanoid robotics. His work on integrating wireless power transfer with piezo-responsive pressure sensors enables remote force measurement without complex electronics, advancing the field of remote sensing. With a total citation count exceeding 130, Azhari’s innovations span from fundamental material science to practical applications in soft robotics and human-machine interfaces. His recent development of a haptic in-sensor computing device, which combines sensing and computation in a single physical reservoir, represents a major step toward efficient, bio-inspired tactile systems for next-generation intelligent machines.

Research Focus

Key Achievements

5
H-Index
6
Papers
139
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Emergence of In‐Materio Intelligence from an Incidental Structure of a Single‐Walled Carbon Nanotube–Porphyrin Polyoxometalate Random Network
57 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Kyushu Institute of Technology, Universiti Putra Malaysia, Waseda University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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