Seoul National Univ. DMSE

People

한준규

Joon-Kyu Han

Assistant Professor

Education

2017

B.S.:  KAIST, Electrical Engineering

2019

M.S.:  KAIST, Electrical Engineering

2023

Ph.D.:  KAIST, Electrical Engineering

Career

2023 ~ 2024

Seoul National University, Inter-University Semiconductor Research Center, Postoctoral researcher

2023 ~ 2024

Harvard University, School of Engineering and Applied Sciences, Visiting Scholar

2024 ~ 2025

Sogang University, System Semiconductor Engineering, Assistant Professor

2025 ~ Current

Seoul National University, Department of Materials Science and Engineering, Assistant Professor

Research Interests

1. 3D integration
– Complementary FET
– 3D/4D DRAM
– 3D/4D NAND

2. Semiconductor devices for next-generation computing
– Neuromorphic computing hardware
– Probabilistic computing hardware

3. AI for semiconductor technology
– Machine learning to optimize processes and device designs

 

Selected Publications

1. Papers
– “CMOS Compatible Probabilistic Computing Hardware with Cointegrated Reconfigurable P-Bits and Synapse Arrays”, Nature Communications (2026)
– “Multi-level Probabilistic Computing with Floating Body MOSFETs for Efficiently Solving Complex Combinatorial Optimization Problems”, Advanced Materials (2026)
– “Neuromorphic Visual Receptive Field Hardware with Vertically Integrated Indium-Gallium-Zinc-Oxide Optoelectronic Memristors Over Silicon Neuron Transistors”, Advanced Materials (2025)
– “Neuromorphic Olfaction with Ultra Low Power Gas Sensors and Ovonic Threshold Switch”, Science Advances (2025)
– “3D Neuromorphic Hardware with Single Thin-Film Transistor Synapses over Single Thin-Body Transistor Neurons by Monolithic Vertical Integration”, Advanced Science (2023)
– “Cointegration of Single-Transistor Neurons and Synapses by Nanoscale CMOS Fabrication for Highly Scalable Neuromorphic Hardware”, Science Advances (2021)

Lab Overview

Our research focuses on next-generation semiconductor devices for high-density and low-power electronics. We are particularly interested in (1) 3D integration, (2) semiconductor devices for next-generation computing, and (3) AI for semiconductor technology. Our work spans material, device, and system-level studies, aiming to enhance integration density and energy efficiency in electronic systems.

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