Subhajit Chatterjee

Jeju National University

Papers

1

Total Citations

10

H-Index

1

About

Dr. Subhajit Chatterjee is at the forefront of wearable sensor technology and human–machine interfaces, with a particular focus on integrating advanced materials with deep learning. His most-cited work introduces a novel organogel-based pressure sensor, demonstrating how soft, flexible materials can be combined with neural networks to achieve remarkable precision in tasks like alphabet recognition and biomechanical motion monitoring. This research, already garnering 10 citations since its 2025 publication, addresses the critical challenge of balancing sensitivity, flexibility, and computational integration in wearable devices. Dr. Chatterjee’s contributions are paving the way for next-generation applications in real-time health diagnostics, prosthetic control, and robotic systems. By bridging materials science and artificial intelligence, his work exemplifies the interdisciplinary innovation needed to create seamless, intuitive interfaces between humans and machines. For students and researchers exploring the frontiers of soft robotics and intelligent sensing, Dr. Chatterjee’s research offers a compelling blueprint for how deep learning can unlock the full potential of flexible electronics.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Deep Learning-Assisted Organogel Pressure Sensor for Alphabet Recognition and Bio-Mechanical Motion Monitoring
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Jeju National University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago