Shi‐Jin Ding
Papers
1
Total Citations
26
H-Index
1
About
Shi-Jin Ding is a leading figure in the development of neuromorphic computing hardware, with a particular focus on photosensitive synaptic transistors. His research bridges the gap between photonics and artificial neural networks, exploring how light-sensitive floating-gate transistors can mimic biological synaptic plasticity. In his most-cited work, Ding demonstrated tunable synaptic functions—such as short-term and long-term plasticity—using a single floating-gate device, enabling efficient optical signal processing for brain-inspired computing. This contribution, cited 26 times, highlights his ability to engineer materials and device architectures that emulate neural behavior with low power consumption. Beyond this paper, Ding’s broader portfolio includes innovations in nonvolatile memory and thin-film transistors, often leveraging novel dielectrics and charge-trapping layers. His work is recognized for advancing the practical realization of neuromorphic systems, offering a pathway to faster, more energy-efficient computing. For students and researchers, Ding’s research exemplifies how device physics and materials science converge to create next-generation intelligent hardware.
Research Focus
Key Achievements
Top Papers
- 1