Kousik Bhunia

Jeju National University

Papers

1

Total Citations

10

H-Index

1

About

Dr. Kousik Bhunia is at the forefront of wearable sensor technology and human-machine interfaces, pioneering the integration of soft materials with artificial intelligence. His most-cited work, a 2025 study on a deep learning-assisted organogel pressure sensor, has already garnered 10 citations, demonstrating the immediate impact of his research. Dr. Bhunia's major contribution lies in developing flexible, organogel-based sensors capable of real-time biomechanical motion monitoring and sophisticated tasks like alphabet recognition. By coupling these sensors with deep learning algorithms, he has addressed a critical challenge in the field: achieving high sensitivity and accuracy in a wearable form factor. This breakthrough paves the way for advanced prosthetics, seamless human-machine interaction, and continuous health diagnostics. His innovative approach to merging materials science with computational methods marks him as a rising leader in smart sensing technologies, with his work poised to influence future developments in robotics and clinical monitoring.

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 · 12 days ago