Chee Leong Tan
Papers
1
Total Citations
17
H-Index
1
About
Dr. Chee Leong Tan is a leading researcher in the field of neuromorphic computing and advanced semiconductor devices, with a particular focus on oxide-based electronics. His most cited work, "Ultra-low power IGZO optoelectronic synaptic transistors for neuromorphic computing" (2024, 17 citations), represents a significant breakthrough in energy-efficient artificial synapses. This research demonstrates how indium-gallium-zinc-oxide (IGZO) transistors can mimic biological synaptic behavior while consuming minimal power, addressing a critical bottleneck in brain-inspired computing hardware. Dr. Tan's contributions are pivotal for developing next-generation neural networks that can operate with unprecedented energy efficiency, potentially revolutionizing edge computing and IoT applications. His work bridges materials science and device engineering, showing how transparent amorphous oxide semiconductors can be harnessed for synaptic plasticity and optical modulation. With growing recognition in the neuromorphic community, Dr. Tan's research continues to push the boundaries of low-power, bio-realistic computing systems. His findings offer a promising pathway toward scalable, energy-sustainable artificial intelligence hardware.
Research Focus
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Top Papers
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