Sara Hedayat

Université de Lille, Centre National de la Recherche Scientifique

Papers

Total Citations

224

H-Index

About

Sara Hedayat is a researcher specializing in neuromorphic computing, bio-inspired circuit design, and ultra-low-power analog electronics. Her work addresses one of the most pressing challenges in modern computing: the fundamental energy efficiency limitations encountered as Moore's law approaches its physical boundaries. By exploring alternatives to the traditional Von Neumann architecture, Hedayat has positioned herself at the forefront of spiking neural network hardware implementation. Her most celebrated contribution, "A 4-fJ/Spike Artificial Neuron in 65 nm CMOS Technology" (2017), has accumulated an impressive 211 citations, demonstrating significant influence within the neuromorphic engineering community. This work achieved remarkable energy efficiency in artificial neuron design, pushing the boundaries of what is possible in standard CMOS fabrication processes. Complementing this, her research on ultra-low-power analog design for artificial neurons further explores scalable, cognitively inspired architectures suited to large-scale applications. Hedayat's contributions are particularly valuable for students and researchers working at the intersection of neuroscience, integrated circuit design, and artificial intelligence hardware. Her pioneering efforts in minimizing energy consumption per spike offer a compelling roadmap for the future of intelligent, brain-inspired computing systems.