Papers

2

Total Citations

25

H-Index

1

About

Debashis Panda is an emerging researcher specializing in neuromorphic computing, memristive devices, and bio-inspired electronics. His work focuses on developing cutting-edge memristor-based systems that mimic biological sensory functions, particularly nociception — the mechanism by which organisms detect and respond to harmful stimuli. Panda's most notable contribution is his pioneering development of a TaN/Ta/TaOx/Al₂O₃/ITO/glass memristor functioning as an artificial nociceptor, which has garnered 24 citations since its 2023 publication, signaling strong early interest from the neuromorphic community. This work represents a significant step toward creating human-like robotic systems capable of detecting and responding to noxious environmental stimuli. Building on this foundation, his 2025 research extends nociceptive functionality to flexible, transparent substrates using ZnO/TiOx bilayer memristors, demonstrating threshold switching behavior at low operating voltages — a critical advancement for wearable and flexible neuromorphic electronics. By bridging materials science, nanotechnology, and biologically inspired computing, Panda's research contributes meaningfully to the next generation of intelligent, adaptable robotic and sensory systems, establishing him as a promising voice in the neuromorphic devices research landscape.

Research Focus

Key Achievements

1
H-Index
2
Papers
25
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Diffusion limiting layer induced tantalum oxide based memristor as nociceptor
24 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National Yang Ming Chiao Tung University, Techno India Group (India)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 7 days ago