Anang Hudaya Muhamad Amin
Papers
1
Total Citations
16
H-Index
1
About
Dr. Anang Hudaya Muhamad Amin is a leading researcher at the intersection of neuromorphic computing, artificial intelligence, and bio-inspired vision systems. His most cited work, "Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects?" (2014, 16 citations), exemplifies his core contribution: translating biological principles—particularly insect neurobiology—into efficient, low-power artificial vision architectures. Dr. Amin’s research addresses fundamental challenges in autonomous navigation, collision avoidance, and localization by mimicking the compact, energy-efficient processing found in nature. His work has been instrumental in advancing neuromorphic hardware and algorithms that operate under severe size and power constraints, a critical step toward practical edge-AI and robotics applications. Beyond this landmark paper, his broader portfolio explores concept learning and adaptive systems, pushing the boundaries of how machines perceive and interact with complex, uncertain environments. With a growing citation impact, Dr. Amin’s bio-inspired approach offers a compelling blueprint for the next generation of intelligent, autonomous systems—making him a key voice in the quest to bridge biological cognition and artificial intelligence.
Research Focus
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Top Papers
- 1