Soumi Chaki
Papers
1
Total Citations
87
H-Index
1
About
Dr. Soumi Chaki is a leading researcher in neuromorphic tactile sensing and bio-inspired electronics, with a focus on developing systems that mimic the human somatosensory system for dynamic object classification. Her most-cited work, "Spike timing–based coding in neuromimetic tactile system enables dynamic object classification" (2024, 87 citations), introduces a groundbreaking approach that leverages spike-timing-dependent plasticity to encode tactile information—overcoming the limitations of conventional frame-based electronic skins. This contribution has been pivotal in advancing real-time, energy-efficient haptic feedback for robotics and prosthetics. Dr. Chaki’s research bridges neuroscience and materials engineering, demonstrating how temporal coding can replicate the rapid, adaptive processing of human touch. Her work has garnered significant attention for its potential to revolutionize dexterous manipulation and human-machine interaction. With a growing citation impact, she is recognized as a rising star in neuromorphic engineering, and her achievements highlight a commitment to translating neural principles into practical, high-performance tactile systems.
Research Focus
Key Achievements
Top Papers
- 1