Bipin Rajendran
King's College London, Indian Institute of Technology Bombay
Papers
2
Total Citations
21
H-Index
2
About
Bipin Rajendran is a pioneering researcher in neuromorphic computing and energy-efficient AI hardware, with a focus on bio-inspired neural architectures and emerging nanomaterials. His work bridges the gap between neuroscience and engineering, developing ultra-low-power systems for autonomous robotics. Rajendran’s most influential contribution is the design of a neuromorphic obstacle detection system using two-dimensional materials-based subthreshold transistors (2023, 18 citations), which dramatically reduces area and energy consumption compared to conventional CMOS-based spiking neurons. This innovation enables reconfigurable, tunable, and low-power operation critical for real-time collision avoidance in autonomous robots. He also demonstrated a spiking neural network (SNN)-driven navigation system inspired by *C. elegans* thermotaxis (2015, 3 citations), implementing a biologically plausible neural architecture on a physical robot that uses light intensity as a sensor to track thermal isotherms. Rajendran’s work has been recognized for its potential to revolutionize edge computing and autonomous systems, offering a path toward brain-inspired hardware that operates with unprecedented efficiency. His research continues to shape the future of low-power neuromorphic systems, making him a key figure in the field.
Research Focus
Key Achievements
Top Papers
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- 2