Alexandru Barleanu

Gheorghe Asachi Technical University of Iași

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About

Alexandru Barleanu is at the forefront of neuromorphic engineering, pioneering the integration of biological principles into robotic sensing and computing. His core research focuses on spiking neural networks (SNNs) and bio-inspired sensors, with a particular emphasis on synaptic plasticity and hardware implementation. Barleanu’s major contribution is the development of a neuromorphic sensor based on force-sensing resistors, which translates applied force directly into spike frequencies—a breakthrough for creating tactile, event-driven robotic systems. This work, published in 2024, has already garnered 6 citations, signaling its immediate impact. His earlier investigation into how the number of spiking neurons influences synaptic plasticity (2023, 5 citations) further solidified his reputation, demonstrating that hardware-parallel SNNs can dramatically reduce response times compared to traditional computing. By bridging the gap between biological plausibility and practical hardware, Barleanu is shaping the future of efficient, adaptive robotics. His achievements highlight a promising trajectory in neuromorphic computing, making him a key figure for students and researchers interested in the next generation of intelligent, sensor-driven machines.