Aida Todri‐Sanial
Centre National de la Recherche Scientifique, Université de Montpellier
Papers
5
Total Citations
63
H-Index
3
About
Aida Todri-Sanial is a multidisciplinary researcher whose work spans neuromorphic computing, flexible electronics, and intelligent robotic systems. Her research uniquely bridges hardware innovation with artificial intelligence, positioning her at the forefront of next-generation computing architectures and wearable technology. Among her most recognized contributions is pioneering work on stretchable strain sensors, where she developed a micromolding-in-capillary fabrication process to create sandwich-structured sensors using 1D nanomaterials embedded in silicone rubber. This work, garnering 46 citations, has significant implications for health diagnostics, soft robotics, and human movement monitoring in wearable electronics applications. Todri-Sanial has also made notable strides in oscillatory neural networks (ONNs), championing their use as energy-efficient, edge-compatible alternatives to conventional AI algorithms. Her work on deploying ONNs for mobile robot obstacle avoidance and SIFT-based feature detection demonstrates a compelling vision for low-power intelligent systems operating in real-world environments such as space, underwater exploration, and autonomous transportation. Her research collectively reflects a commitment to solving practical engineering challenges—from flexible sensing materials to neuromorphic edge computing—making her a compelling figure for students and researchers interested in the convergence of nanotechnology, robotics, and unconventional computing paradigms.
Research Focus
Key Achievements
Top Papers
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- 4Stretchable Strain Sensors for Human Movement Monitoring3 citations · 2020
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