• Research Publication

    Our new research work on machine learning based multichannel brain signals has been published in Nature Communications.

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  • Research Publication

    A new research work on Physically Unclonable Function (PUF) has been published in Materials Science in Semiconductor Processing journal.

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  • Kang Research Laboratory

    A part of DGIST device group (ADERG) in the Dept. of Electrical Engineering and Computer Science (EECS) at DGIST

    See research interests
  • Publications

    Research in Semiconductor Devices and Bioelectronics

    See publications


Kang Lab is a research lab in the Department of Electrical Engineering and Computer Science at DGIST (Daegu Gyeongbuk Institute of Science and Technology), South Korea. We are committed to working on engineering problems at the intersection of Microelectronics (Transistors, TFTs, Microfabrication, Sensors) and Bioelectronics/Biomedical engineering for “More than Moore" of the next generation microelectronics.

We are particularly interested in the following research areas: (1) Novel microelectronics devices and fabrication processes for the next generation novel electronics applications; (2) Neural engineering technologies for more efficient bio-signal acquisition and modulation; (3) Functional nanomaterial microfabrication (e.g., printing) for various sensors; (4) Machine learning based large bio-signal data analysis; (5) Novel devices and fabrication processes for IoT security, anti-counterfeit applications, and power electronics applications.

We are a part of the Advanced Electronic Device Research Group (AEDRG) at DGIST EECS (Department of Electrical Engineering and Computer Science). 

Selected publications

On the right, there are several selected publications that highlight our previous research efforts in both Electronics & Neural engineering.

For full contributions in the area of flexible, printed electronics, bioelectronics, neural engineering, please visit Publications pages (Journal, Conferences, Books and Patents).

View all Publications

Inkjet-Printed Biofunctional Thermo-Plasmonic Interfaces for Patterned Neuromodulation

Hongki Kang, Gu-Haeng Lee, Hyunjun Jung, Jee Woong Lee and Yoonkey Nam

Thermoplasmonic Optical Fiber for Localized Neural Stimulation

Hongki Kang, Woongki Hong, Yujin An, Sangjin Yoo, Hyuk-Jun Kwon, Yoonkey Nam

Ultrathin Gold Microelectrode Array using Polyelectrolyte Multilayers for Flexible and Transparent Electro-Optical Neural Interfaces

Woongki Hong, Jee Woong Lee, Duhee Kim, Yujin Hwang, Junhee Lee, Junil Kim, Nari Hong, Hyuk-Jun Kwon, Jae Eun Jang, Anna Rostedt Punga, Hongki Kang*

Semi-transparent, micrometer resolution p-NiO/n-ZnO heterojunction diode temperature sensors with ultrathin metal anode

Junhee Lee, Nari Hong, Woongki Hong, Duhee Kim, Yujin Hwang, Jaewon Jang, Hongki Kang*

High temporal resolution transparent thermoelectric temperature sensors for photothermal effect sensing

Junhee Lee†, Seongkwon Hwang†, Nari Hong†, Jeonghun Kwak, Jae Eun Jang, Seungjun Chung*, Hongki Kang*

Inkjet-Printed Polyelectrolyte Seed Layer-Based, Customizable, Transparent, Ultrathin Gold Electrodes and Facile Implementation of Photothermal Effect

Duhee Kim, Nari Hong, Woongki Hong, Junhee Lee, Murali Bissannagari, Youngjae Cho, Hyuk-Jun Kwon, Jae Eun Jang, and Hongki Kang*

Sol-gel processed Y2O3 embedded capacitor based physically unclonable function

Donghoon Lee, Jungha Lee, Minhye Shin, Duhee Kim, Junhee Lee, Murali Bissannagari, Woongki Hong, Jae Eun Jang, Jaewon Jang*, and Hongki Kang*

Machine learning-based high-frequency neuronal spike reconstruction from low-frequency and low-sampling-rate recordings

Nari Hong, Boil Kim, Jaewon Lee, Han Kyung Choe, Kyong Hwan Jin*, and Hongki Kang*
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