Research - Kang Lab @ AEDRG

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. Transistors, 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, 중견연구자지원사업, <나노 소재 인쇄 공정의 자연적 무작위성을 이용한 물리적 복제 방지 보안 전자 소자 개발 연구, Physically unclonable security electronic devices based on natural randomness of printed nanomaterials>, 책임
  • NRF, BRL, 기초연구실, <인지적 역촉각 복제 시스템 연구실, Basic research center of  reverse haptic engineering system for cognitive tactile feeling duplication>, 참여
  • NRF, 창의도전연구, <머신러닝 기반 높은 시간 해상도의 신경 스파이크 복원 기술, Machine learning-based reconstruction of neuronal spikes with high temporal resolution>, PI: Dr. Nari Hong
  • NRF, 창의도전연구, <자기유동적 탄성체의 경도 조절 기반 비접촉 터치 센서의 설계 및 개발, Design and development of Magnetorheological elastomer hardness assisted non-contact touch sensors>, PI: Dr. Murali Bissannagari
  • 환경부, <미생물 유래 대사물질의 현장형 및 실시간 검출 시스템 개발, Real-time and field detection of toxic metabolites from microbial indoor air pollutants>, 참여
  • 과기원공동연구프로젝트, <뇌질환 극복을 위한 최소침습 인공지능 전자뇌 개발, Development of a Minimally Invasive AI-Exobrain to Overcome Effects of Brain Diseases>, 참여
  • DGIST 일반사업, <인공지능 기반 초소형 전자뇌 개발, Development of an AI-Exobrain to Overcome Effects of Brain Diseases>, 참여
  • NHMRC, < Transparent, soft arrays for closed-loop, cellular-resolution brain recording and stimulation >, 공동 책임 w/ the University of New South Wales (UNSW) – Dr. David Tsai @ UNSW
Previously involved research grants
  • DGIST 일반사업, <생체분자시스템의 빅데이터 수집을 위한 고밀도 단일분자센서 어레이 제작, Fabrication of high-density single-molecule sensor arrays for collecting big data of biomolecular systems>, PI: Dr. Yoonhee Lee @ DGIST