Lab

Research

Kang Lab
in AEDRG at DGIST ICE

Building upon the previous research experiences in microelectronic devices/microfabrication, and neural engineering, we are broadly interested in working on the following research areas below (but not limited to).

  • How can we improve novel electronic devices and develop fabrication processes for the next generation microelectronic devices (e.g. TFTs or Sensors) and their new applications?
  • How should we apply novel microelectronics, microfabrication processes (e.g. flexible, transparent electronics) for innovative biomedical/bioelectronics applications that will ultimately help our lives?
  • How can new functional materials be useful for novel devices when integrated with advanced microfabrication processes?
  • How can we continue the More than Moore by the innovation of materials and devices?

Below are some of the on-going research topics in our lab. For further details on our previous research, please visit our Previous Research or Publication pages.


Flexible, Transparent Transistors & Sensors

Novel Transistors and Sensors for Displays, Wearables, Bioengineering & Bioelectronics applications, and IoT applications


Brain Machine Interfaces

Flexible and Transparent Neural Interfaces
Neuromodulation, Neural recording, Machine Learning


Additive Micro-Manufacturing
& Functional Nanomaterials

Printing-based Precision Microfabrication
Functional Nanomaterial based Sensors & Bioengineering Applications


Devices for IoT Security

Novel Devices and Fabrication based Unclonable Digital Fingerprints & Anticounterfeit Applications

Current research grants

  • NRF, BRL, 기초연구실, <인지적 역촉각 복제 시스템 연구실>, 참여
  • 환경부, <미생물 유래 대사물질의 현장형 및 실시간 검출 시스템 개발>, 참여
  • 공동과기원, <뇌질환 극복을 위한 최소침습 인공지능 전자뇌 개발>, 참여
  • DGIST 일반사업, <인공지능 기반 초소형 전자뇌 개발>, 참여
  • DGIST 일반사업, <생체분자시스템의 빅데이터 수집을 위한 고밀도 단일분자센서 어레이 제작>, 참여
  • NHMRC, < Transparent, soft arrays for closed-loop, cellular-resolution brain recording and stimulation >, 공동 책임 w/ University of New South Wales (UNSW) – Prof. David Tsai.