Kusum Sharma

Jeju National University

Papers

1

Total Citations

10

H-Index

1

About

Dr. Kusum Sharma is at the forefront of flexible electronics and intelligent sensing, pioneering the integration of deep learning with soft materials for next-generation wearable technology. Her most-cited work, "Deep Learning-Assisted Organogel Pressure Sensor for Alphabet Recognition and Bio-Mechanical Motion Monitoring" (2025, 10 citations), exemplifies her innovative approach to creating seamless human–machine interfaces. Dr. Sharma’s major contribution lies in developing organogel-based pressure sensors that, when coupled with advanced neural networks, can accurately recognize handwritten alphabets and monitor subtle biomechanical motions—a breakthrough with profound implications for real-time health diagnostics, clinical rehabilitation, and robotic control. By addressing the critical challenge of achieving both high sensitivity and mechanical flexibility, her research bridges the gap between soft robotics and artificial intelligence. With her work already garnering attention for its potential to transform prosthetic control and remote patient monitoring, Dr. Sharma is establishing herself as a rising leader in the field of smart materials and sensor-driven AI, inspiring students and researchers to explore the convergence of soft electronics and machine learning.

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