Advanced Nanoelectronic Devices &
Integrated Systems Lab
Research Overview
Our research has a general focus on developing new methods for performing energy-efficient computing. It is highly interdisciplinary, incorporating material science, physics, electrical engineering, and computer science, and encompasses both theoretical and experimental work. We are involved in developing functional materials, exploring novel electronic devices and high-performance circuit architectures for both general-purpose and application-specific tasks, and creating relevant algorithms and software tools.
Selected Recent Papers
"A self-tuning PID controller based on analog-digital hybrid computing with a double-gate SnS2 memtransistor", Nanoscale, 2023
"Energy-efficient and reconfigurable complementary filter based on analog–digital hybrid computing with SnS2 memtransistor", Nano Energy, 2023
"Analog–digital hybrid computing with SnS2 memtransistor for low-powered sensor fusion", Nature Communications, 2022
"A tactile sensor system with sensory neurons and perceptual synaptic network based on semivolatile carbon nanotube transistors", NPG Asia Materials, 2020
"Parallel Weight Update Protocol for a Carbon Nanotube Synaptic Transistor Array for Accelerating Neuromorphic Computing", Nanoscale, 2020
We are actively seeking self-motivated, resourceful, and dedicated students who are interested in the emerging computing systems.
Currently, we have 2~4 openings for graduate courses.
We are also looking for postdoctoral researchers.
Interested candidates may contact Prof. Sungho Kim