Biomedical Electronics Lab
BMEEL at SNU
BioMEdical Electronics Lab (BMEEL) is a research lab in the Department of Biomedical Engineering, College of Medicine at Seoul National University (SNU), South Korea. We are committed to working on engineering problems at the intersection of Microelectronics (Sensors, Microfabrication), Biomedical engineering, and Medicine.
We are particularly interested in the following research areas: (1) Advanced Neurotechnology; (2) Biosensors and Wearable Devices; (3) Microelectronics for Biomedical Applications; (4) Machine Learning-based Bio-signal Analysis; (5) Novel electronic devices and applications.
BMEEL is intended to represent BME+EE+Lab, meant to be read “Bee-Meel", 비밀, meaning ‘secret’… =)
Some of our members are also affiliated with the Advanced Electronic Device Research Group at DGIST EECS (Department of Electrical Engineering and Computer Science), co-advised by Professor Hyuk-Jun Kwon.
We are also jointly affiliated with the Interdisciplinary Program in Bioengineering (서울대학교 공과대학 협동과정 바이오엔지니어링 전공), College of Engineering, Seoul National University, in charge of Bioelectronics (바이오전자) area. If you are interested in joining us, please look for the admission opportunities through this program.
Opening
With some new research funding on neural interfaces, machine learning, and neuromorphic computing topics, we may have some openings for new graduate students. If interested in joining, contact Prof. Kang for more details. Please share your CV, Research interests and previous experiences, transcript (성적 증명서), and why you are interested.
If interested in an internship, send us an email with your CV, Research interests and previous experiences, and transcript (성적 증명서).
News
[Conference] Eunui Kim gave an oral presentation, and received an award for outstanding presentation at 한국공업화학회 (The Korean Society of Industrial and Engineering Chemistry) Fall meeting.
[Talk] Prof. Kang gives an invited talk at the 12th 공대-의대-병원 의료기기 포럼.
[Talk] Prof. Kang gives an invited talk at the Institute of Quantum Biophysics (IQB) Colloquium in the Sung Kyun Kwan University (SKKU).
[Grant] 삼성미래기술육성사업, <초해상도 말초신경 전자 청진기: 말초신경계질환의 비침습적 디지털 바이오마커 탐지>, 과제에 선정되어 최대 3년 동안 인공지능 기반 비침습적 근전도 검사 의료기기 개발 연구를 수행하게 되었습니다.
[Scholarship] Duhee is awarded with a graduate student scholarship, 소선나눔기금 과학기술분야 대학원생 장학생. Congratulations!
Selected recent publications
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*
Nature Communications, 2024 (Link)
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*
Advanced Functional Materials, 2022 (Link)
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*
Materials Horizons, 2022 (Link)
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*
ACS Applied Materials & Interfaces, 2023 (Link)
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*
Advanced Materials Technologies, 2022 (Link)
Thermoplasmonic Optical Fiber for Localized Neural Stimulation
Hongki Kang, Woongki Hong, Yujin An, Sangjin Yoo, Hyuk-Jun Kwon, Yoonkey Nam
ACS Nano, 2020 (Link)
Inkjet-Printed Biofunctional Thermo-Plasmonic Interfaces for Patterned Neuromodulation
Hongki Kang, Gu-Haeng Lee, Hyunjun Jung, Jee Woong Lee and Yoonkey Nam
ACS Nano, 2018 (Link)