Sefi Givli

Technion – Israel Institute of Technology

Papers

Total Citations

H-Index

About

Sefi Givli is a rising leader in the mechanics of multistable structures, pioneering how materials can be programmed to change shape and function. His research sits at the intersection of soft robotics, metamaterials, and physical neural networks, with a focus on harnessing instability—rather than avoiding it—to create intelligent, reconfigurable systems. Givli’s major contributions include demonstrating how a simple “bistable chain on an elastic foundation” can encode complex mechanical responses, and, most notably, his work on “Reprogrammable 3D Shapes from 1D Metamaterials,” which draws inspiration from protein folding to enable flat structures to morph into targeted 3D forms. He has also advanced the emerging field of Physical Neural Networks (PNNs), showing how mechanical systems can perform neuromorphic computation, and developed a “Dynamic Single-Input Control” strategy for soft robotic actuators, drastically simplifying the control of multi-state devices. With his most-cited papers already accumulating over a dozen citations in just a few years, Givli’s work is rapidly gaining traction. His ability to merge theoretical mechanics with bio-inspired design positions him as a key innovator in the next generation of adaptive, autonomous materials.