Sangjun Eom
Papers
1
Total Citations
5
H-Index
1
About
Sangjun Eom is a pioneering researcher at the intersection of advanced manufacturing, neuromorphic engineering, and soft robotics. His work centers on developing "Form + Function 4-D Printing," a groundbreaking approach that embeds computational intelligence directly into printable robotic materials. Eom’s major contribution lies in designing and optimizing embedded neuromorphic architectures—specifically, printable organic neurons that form analog neural networks. By prioritizing simplicity and massive redundancy, his architectures enable robotic materials to sense, compute, and adapt without traditional electronics. His 2021 paper on this topic has garnered 5 citations, reflecting its foundational role in an emerging field. Eom’s research promises to revolutionize soft robotics, enabling self-aware materials that can change shape and function over time. His notable achievement includes the emulation of optimized neurons within 4D-printed structures, bridging the gap between biological neural systems and synthetic materials. For students and researchers, Eom’s work offers a compelling vision of machines that are not just built, but grown—materials that think and move as one.
Research Focus
Key Achievements
Top Papers
- 1