Su‐Ting Han
Papers
11
Total Citations
670
H-Index
10
About
Su-Ting Han is a pioneering researcher at the forefront of neuromorphic computing, optoelectronics, and flexible electronics, whose work bridges the gap between biological systems and next-generation hardware. Best known for developing memristor-based biomimetic systems, Han's 2021 study on a compound eye inspired by the lobster's collision-detection neuron (189 citations) demonstrated how biological visual processing can be replicated in hardware for real-time robotics applications. Her contributions to photonic memory are equally significant, particularly her work on MoS₂–upconversion nanoparticle heterostructures for infrared-sensitive memory (106 citations), which addresses the critical von Neumann bottleneck limiting modern computing. Han has also made substantial advances in wearable technology, designing hierarchically microstructured skin sensors with exceptional sensitivity and stability (104 citations), and authoring influential reviews on self-healable electronic skins and flexible e-skin integration strategies. Her research on artificial synapses, near-infrared sensory neuron systems, and perovskite heterostructures further underscores her interdisciplinary reach. Recognized as a key voice in China's neuromorphic computing landscape, Han's cumulative work across hardware-based neural networks, bioinspired sensing, and soft electronics positions her as an influential figure shaping the future of intelligent, embodied computing systems.
Research Focus
Key Achievements
Top Papers
- 1Memristor-based biomimetic compound eye for real-time collision detection189 citations · 2021
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- 4Near‐Infrared Artificial Synapses for Artificial Sensory Neuron System77 citations · 2021
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- 7Electromechanical coupling effects for data storage and synaptic devices32 citations · 2020
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- 9Self-powered artificial vibrissal system with anemotaxis behavior16 citations · 2025
- 102022 roadmap on neuromorphic devices and applications research in China13 citations · 2022