Panagiotis Bousoulas
Papers
5
Total Citations
32
H-Index
4
About
Panagiotis Bousoulas is an emerging researcher at the intersection of neuromorphic computing, memristive devices, and bioinspired electronics. His work focuses on engineering low-power memristive systems that emulate the functional properties of biological neural components, including nociceptors, mechanoreceptors, and afferent nerve pathways. By developing forming-free SiO₂ and VOx-based conductive bridge memory devices incorporating platinum nanoparticles, Bousoulas has demonstrated scalable artificial sensory neurons capable of mimicking pain-sensing and tactile perception with minimal energy consumption. His research bridges hardware and biology, showing how memristors can be integrated with stretchable strain sensors to realize artificial skin-like perception without relying on software processing. Beyond sensory emulation, his work extends to practical neuromorphic applications, including the recognition of Greek alphabet characters using memristive circuit architectures, illustrating real-world pattern recognition capabilities. Collectively, his publications have accumulated over 30 citations, reflecting growing interest in his contributions to the neuromorphic engineering community. Bousoulas's research holds significant promise for advancing next-generation humanoid robotics and intelligent prosthetics, positioning him as a notable contributor to the rapidly evolving field of hardware-based artificial intelligence.
Research Focus
Key Achievements
Top Papers
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