Papers
2
Total Citations
41
H-Index
2
About
Dayanand Kumar is a rising researcher at the forefront of neuromorphic computing and flexible electronics, with a focus on developing next-generation hardware for edge artificial intelligence. His most impactful work centers on creating highly efficient, back-end-of-line compatible Si-based optical memristive crossbar arrays, as demonstrated in his 2024 paper that has already garnered 39 citations. This breakthrough enables flexible, energy-efficient hardware capable of real-time physiological signal processing and bionic machine vision, addressing critical challenges in smart edge devices for personalized healthcare and advanced robotics. Kumar’s contributions bridge the gap between traditional silicon fabrication and emerging neuromorphic architectures, offering a scalable path toward 3D-integrated, low-power sensory systems. His work on hand gesture recognition in complex backgrounds further showcases his versatility in computer vision. With his pioneering research poised to impact the Internet-of-Things ecosystem, Kumar is establishing himself as a key innovator in the integration of flexible electronics, optical computing, and neuromorphic engineering for real-world edge applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Hand Gesture Recognition in Complex Background2 citations · 2022