Sujit Kumar Sikdar
Papers
1
Total Citations
3
H-Index
1
About
Dr. Sujit Kumar Sikdar is a pioneering researcher at the intersection of computational neuroscience and robotics, whose work explores the transformative potential of neuro-electronic hybrid systems. His most cited study, "Robot Navigation Using Neuro-electronic Hybrid Systems" (2015), demonstrates a groundbreaking approach to autonomous navigation by integrating biological neuronal networks with VLSI technology. This work capitalizes on the inherent parallel processing and adaptive learning capabilities of living neurons, creating hybrid architectures that outperform traditional silicon-based controllers in complex, real-world environments. With 3 citations, this foundational paper has laid critical groundwork for bio-inspired computing and neurorobotics. Dr. Sikdar’s contributions are particularly notable for bridging the gap between wet-lab neuroscience and practical engineering, offering a proof-of-concept for how living neural tissue can be harnessed for robotic control. His research holds profound implications for the development of more efficient, adaptive machines and for advancing our understanding of neural computation. Through his innovative synthesis of biology and electronics, Dr. Sikdar continues to inspire new directions in intelligent systems design.
Research Focus
Key Achievements
Top Papers
- 1Robot Navigation Using Neuro-electronic Hybrid Systems3 citations · 2015