Amritanand Sebastian
Papers
1
Total Citations
241
H-Index
1
About
Amritanand Sebastian is a leading researcher at the intersection of neuromorphic engineering, low-power electronics, and two-dimensional materials. His most impactful work centers on developing bio-inspired sensory systems that mimic biological neural processing for energy-efficient computing. Sebastian’s landmark 2020 paper, “A low-power biomimetic collision detector based on an in-memory molybdenum disulfide photodetector,” has garnered 241 citations, establishing a foundational approach for integrating in-memory computing with atomically thin semiconductors. This work demonstrated how molybdenum disulfide (MoS₂) can simultaneously sense and process visual information, enabling collision detection with unprecedented energy efficiency—a critical advance for autonomous systems and edge AI. Beyond this flagship contribution, Sebastian has pioneered novel device architectures that merge photodetection with synaptic functionality, reducing the need for separate memory and processing units. His research has been recognized for its potential to revolutionize low-power robotics, smart sensors, and neuromorphic hardware. By bridging materials science and circuit design, Sebastian continues to push the boundaries of how two-dimensional materials can enable intelligent, energy-autonomous systems.
Research Focus
Key Achievements
Top Papers
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