Nikil Dutt
Papers
8
Total Citations
99
H-Index
5
About
Nikil Dutt is a pioneering researcher at the intersection of neuromorphic computing, embedded systems, and cyber-physical systems (CPS). His work fundamentally advances how machines can learn, adapt, and interact intelligently with the world. Dutt’s major contributions include developing brain-inspired computing frameworks like the Neural and Synaptic Array Transceiver (NeST), which enables efficient, embedded continual learning for autonomous systems—a critical step toward truly adaptive robots and edge devices. He has also been a leading voice in formalizing self-awareness in CPS, creating architectures that allow systems to monitor and adapt their own behavior. His research extends into socially impactful domains, such as designing empathetic care companion robots for dementia patients, where he explores emotional intelligence to mitigate agitation. With highly cited works on GPU-accelerated cortical models for robot navigation and neuromorphic vision algorithms, Dutt’s work consistently bridges biological inspiration with hardware efficiency. His recent integrated toolbox for neuromorphic edge applications further solidifies his role in shaping the future of efficient, brain-like computing for real-world, resource-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Self-Awareness in Cyber-Physical Systems11 citations · 2016
- 4
- 5Brain Derived Vision Algorithm on High Performance Architectures5 citations · 2009
- 6
- 7An integrated toolbox for creating neuromorphic edge applications3 citations · 2025
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