Sung Min Kwon

Papers

Total Citations

206

H-Index

About

Dr. Sung Min Kwon is a leading researcher in neuromorphic electronics, with a primary focus on developing hardware solutions for next-generation artificial intelligence. His work centers on transistor-based optoelectronic synapses, which bridge the gap between optical sensing and neural computation. Kwon’s most cited paper, "Recent Progress in Transistor‐Based Optoelectronic Synapses: From Neuromorphic Computing to Artificial Sensory System" (2021), has garnered 206 citations, establishing him as a key voice in this rapidly evolving field. In this comprehensive review, he systematically maps the transition from basic neuromorphic computing to advanced applications like artificial sensory perception and humanoid robotics. Kwon’s contributions are particularly notable for their interdisciplinary approach, integrating materials science, device physics, and system-level design to create more efficient, brain-inspired hardware. His work has significant implications for in-memory computing and sensory systems, offering a pathway toward energy-efficient AI that can process visual information in real time. By highlighting both current progress and future challenges, Kwon has helped shape the research agenda for optoelectronic neuromorphic devices, making his work essential reading for students and researchers aiming to push the boundaries of artificial intelligence hardware.