Chul Kim – Miniaturized Neural Engineering Systems Enabled by Energy-Efficient Integrated Circuits
July 23, 2025
Miniaturized Neural Engineering Systems Enabled by Energy-Efficient Integrated Circuits
Chul Kim -
Korea Advanced Institute of Science & Technology (KAIST) - https://beee.kaist.ac.kr/
Abstract: As the global population continues to age and humanity faces an increasing number of previously unencountered diseases, the importance of neural engineering has grown significantly. Among the various approaches within neural engineering, miniaturized systems based on semiconductor integrated circuit technology are emerging as a critical component. This presentation introduces a series of research efforts aimed at addressing biomedical challenges through highly energy-efficient integrated circuit systems. Specifically, we will highlight innovations in low-power neural recording circuits, real-time removal of electrical stimulation artifacts, wireless power and data transmission systems that are robust to distance variations, and unobtrusive wearable devices. These advancements demonstrate the transformative potential of semiconductor technologies in the future of biomedical applications.
Biography: Chul Kim (Senior Member, IEEE) received the Ph.D. degree in Bioengineering from UC San Diego, La Jolla, CA, USA, in 2017. He is an Associate Professor with the Department of Bio and Brain Engineering and the Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea. From 2009 to 2012, His research interests include the design of energy-efficient integrated circuits and systems for next-generation brain-machine interfaces, electroceuticals, and unobtrusive wearable sensors. He received the Gold Prize in the 16th Humantech Thesis Prize Contest from Samsung Electronics, Suwon, South Korea, in 2010, and the 2018 Shunichi Usami Ph.D. Thesis Design Award from the Bioengineering Department at UC San Diego. He served as an Associate Editor of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) and on the Technical Program Committee for IEEE Custom Integrated Circuits Conference (CICC) as Co-Chair of the Emerging Technology Sub-committee.
July 23, 2025
Miniaturized Neural Engineering Systems Enabled by Energy-Efficient Integrated Circuits
Chul Kim –
Korea Advanced Institute of Science & Technology (KAIST) – https://beee.kaist.ac.kr/
Abstract: As the global population continues to age and humanity faces an increasing number of previously unencountered diseases, the importance of neural engineering has grown significantly. Among the various approaches within neural engineering, miniaturized systems based on semiconductor integrated circuit technology are emerging as a critical component. This presentation introduces a series of research efforts aimed at addressing biomedical challenges through highly energy-efficient integrated circuit systems. Specifically, we will highlight innovations in low-power neural recording circuits, real-time removal of electrical stimulation artifacts, wireless power and data transmission systems that are robust to distance variations, and unobtrusive wearable devices. These advancements demonstrate the transformative potential of semiconductor technologies in the future of biomedical applications.
Biography: Chul Kim (Senior Member, IEEE) received the Ph.D. degree in Bioengineering from UC San Diego, La Jolla, CA, USA, in 2017. He is an Associate Professor with the Department of Bio and Brain Engineering and the Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea. From 2009 to 2012, His research interests include the design of energy-efficient integrated circuits and systems for next-generation brain-machine interfaces, electroceuticals, and unobtrusive wearable sensors. He received the Gold Prize in the 16th Humantech Thesis Prize Contest from Samsung Electronics, Suwon, South Korea, in 2010, and the 2018 Shunichi Usami Ph.D. Thesis Design Award from the Bioengineering Department at UC San Diego. He served as an Associate Editor of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) and on the Technical Program Committee for IEEE Custom Integrated Circuits Conference (CICC) as Co-Chair of the Emerging Technology Sub-committee.
