About:
SAIL (Semiconductor for AI Laboratory) conducts research on the design, fabrication, and characterization of silicon-based devices for next-generation semiconductor technologies. Building on this foundation, we develop high-density, low-power, and reliable semiconductor devices for Processing-in-Memory (PIM) and AI hardware, enabling future intelligent computing systems.
Education:
19.03 ~ 24.02 Seoul National University / Department of Electrical and Computer Engineering/ Ph.D
14.09 ~ 18.06 University of California, Los Angeles Department of Electrical Engineering B.S
Experience:
25.03 ~ Gachon University / Department of Semiconductor Engineering / Assistant Professor
24.03 ~ 25.02 Inter-university Semiconductor Research Center / Postdoctoral Researcher
Honors & Specialities:
Thesis
2024.02 Lateral Migration-based TFT-type Flash Memory for Hardware-based Neural Networks
Selected Papers
2026 Direct observation of lateral hole migration in the charge trap layer of an inhomogeneous flash memory device - [Applied Physics Reviews 2026]
2026 Gate insulator stack engineering for fully CMOS-compatible reservoir computing - [Nano Convergence 2026]
2024 Lateral Migration‐based Flash‐like Synaptic Device for Hybrid Off‐chip/On‐chip Training - [Advanced Electronic Materials 2024]
2023 Cointegration of the TFT-type AND flash synaptic array and CMOS circuits for a hardware-based neural network - [IEEE Transactions on Electron Devices 2023]
Patent
2024 Synaptic array structure based on cmos integration technology and method of fabricating the synaptic array structure
