Seoul National Univ. DMSE
People
Faculty
Joon-Kyu Han
한준규
Mailstop
33-308
Phone
N/A
Fax
N/A
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
– “Homeothermic p-bit computing hardware with stochastic operations beyond limit of non-stochastic materials”, Advanced Functional Materials (2025)
– “3D neuromorphic hardware with single thin-film transistor synapses over single thin-body transistor neurons by monolithic vertical integration”, Advanced Science, 10 (2023)
– “Artificial olfactory neuron for an in-sensor neuromorphic nose”, Advanced Science, 9 (2022)
– “Cointegration of single-transistor neurons and synapses by nanoscale CMOS fabrication for highly scalable neuromorphic hardware”, Science Advances, 7 (2021)
– “Bioinspired photoresponsive single transistor neuron for a neuromorphic visual system”, Nano Letters, 20 (2020)
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.
Seoul National Univ. DMSE
People
Faculty
Joon-Kyu Han
한준규
Mailstop
33-308
Phone
N/A
Fax
N/A
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
– “Homeothermic p-bit computing hardware with stochastic operations beyond limit of non-stochastic materials”, Advanced Functional Materials (2025)
– “3D neuromorphic hardware with single thin-film transistor synapses over single thin-body transistor neurons by monolithic vertical integration”, Advanced Science, 10 (2023)
– “Artificial olfactory neuron for an in-sensor neuromorphic nose”, Advanced Science, 9 (2022)
– “Cointegration of single-transistor neurons and synapses by nanoscale CMOS fabrication for highly scalable neuromorphic hardware”, Science Advances, 7 (2021)
– “Bioinspired photoresponsive single transistor neuron for a neuromorphic visual system”, Nano Letters, 20 (2020)
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.