Hanjung Song
Papers
2
Total Citations
47
H-Index
2
About
Hanjung Song is a pioneering researcher at the intersection of soft robotics and neuromorphic engineering, with key contributions spanning ionic electroactive polymer (IEAP) actuators and bio-inspired vision systems. In his highly cited 2018 work (41 citations), Song addressed a critical limitation of IEAP actuators—poor durability in open air—by developing nanocomposite electrodes using PEDOT:PSS with graphene-silver nanowires. This innovation dramatically improved actuation stability and speed, advancing the practical deployment of soft robotic components. More recently, Song has pushed into neuromorphic computing, designing a spike-timing-dependent plasticity (STDP) driven silicon retina using 7nm FinFET technology for motion and looming detection. This hybrid model, published in 2025, integrates automated spiking circuits with image analysis, mimicking biological visual processing for threat detection. By bridging materials science for durable actuators with cutting-edge semiconductor design for neural networks, Song demonstrates rare versatility. His work not only achieves notable citation impact but also lays groundwork for next-generation autonomous systems that combine soft, responsive materials with intelligent, event-driven sensing.
Research Focus
Key Achievements
Top Papers
- 1
- 2