Hyungtak Seo
Papers
7
Total Citations
114
H-Index
4
About
Hyungtak Seo is pioneering the frontier of bioinspired electronics, merging materials science with neuroscience to create devices that mimic human sensory and cognitive functions. His research centers on artificial synapses, nociceptors, and photonic memory—components essential for next-generation tactile perception, pain sensing, and adaptive learning in robotics. Seo’s most cited work, “An artificial piezotronic synapse for tactile perception” (2020, 65 citations), demonstrates a breakthrough in emulating biological touch, enabling pressure-driven synaptic plasticity. He further advanced the field with an artificial mechano-nociceptor using Mott transition (2021) and a liquid ionic memory nociceptor (2022), both replicating pain response for safer human-machine interactions. Notably, his 2025 study on ultrafast photodetectors integrates machine learning for secure communication and optical material classification, showcasing his versatility. Seo also explores melanopsin-mimicking optoelectronic memory (2021) and flexoelectric-like reinforcement learning in ultrathin HfO₂ (2022), pushing in-materia computing. With over 114 citations across these works, Seo’s contributions are shaping intelligent systems that sense, learn, and adapt like living organisms, positioning him as a key innovator in neuromorphic engineering.
Research Focus
Key Achievements
Top Papers
- 1An artificial piezotronic synapse for tactile perception65 citations · 2020
- 2Artificial Nociceptor Using Liquid Ionic Memory17 citations · 2022
- 3An Artificial Mechano‐Nociceptor with Mott Transition13 citations · 2021
- 4Mimicking Melanopsin Behavior with Integrated Photoregulated Memory8 citations · 2021
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