Kartikey Thakar
Papers
1
Total Citations
18
H-Index
1
About
Kartikey Thakar is a pioneering researcher at the intersection of neuromorphic computing and two-dimensional materials, with a focus on ultra-low-power hardware for autonomous systems. His most-cited work, "Ultra-low power neuromorphic obstacle detection using a two-dimensional materials-based subthreshold transistor" (2023, 18 citations), introduces a groundbreaking approach to collision avoidance in autonomous robots. By leveraging subthreshold transistors made from 2D materials, Thakar addresses the critical area- and energy-inefficiency of conventional CMOS-based spiking neurons, achieving reconfigurable, tunable, and remarkably low-power operation. This innovation enables accurate, timely, and selective detection of moving obstacles—a vital capability for reliable autonomous navigation. Thakar’s contributions stand out for their potential to revolutionize edge computing in robotics, where power constraints are paramount. His work not only demonstrates a novel hardware solution but also bridges materials science with neuromorphic engineering, offering a scalable path toward energy-efficient artificial intelligence. With growing recognition for his early-career impact, Thakar is shaping the future of intelligent, low-power sensing systems.
Research Focus
Key Achievements
Top Papers
- 1