Papers
1
Total Citations
3
H-Index
1
About
Dr. Ting Su is a pioneering researcher in neuromorphic computing, with a focus on memristor-based systems that emulate the brain’s architecture to revolutionize data processing. Her most-cited work, "Memristor-based Brain-like Reconfigurable Neuromorphic System" (2021, 3 citations), introduces a novel circuit implementation that mimics neural features, enabling reconfigurable, high-efficiency computation. This contribution addresses critical bottlenecks in traditional computing, offering a path toward energy-efficient, brain-inspired hardware. Dr. Su’s research bridges materials science and artificial intelligence, advancing the development of adaptive, low-power systems for real-time learning and pattern recognition. Her work has garnered attention for its potential to transform edge computing and autonomous systems, laying the groundwork for next-generation intelligent devices. With a growing citation impact, Dr. Su continues to explore reconfigurable architectures, positioning herself as a key innovator in the quest for truly brain-like computational platforms.
Research Focus
Key Achievements
Top Papers
- 1Memristor-based Brain-like Reconfigurable Neuromorphic System3 citations · 2021