40.
Hybrid-Structured Indium Tin Oxide with Ag Nanoparticles as Crystalline Seeds for Transparent Electrode with Enhanced Flexibility and Its Application to Organic Light Emitting Diodes
Japanese Journal of Applied Physics, May 2014, Volume 53, Issue 5S1, 05FB13
Ross E. Triambulo, Hahn-Gil Cheong, Huanyu Zhou, Gun-Hwan Lee and Jin-Woo Park
39.
The effect of the size and volume fraction of Zr2Cu on the sintering behavior of tungsten matrix composites during liquid-reactive sintering
International Jounal of Refractory Metals and Hard Materials, March 2014, Volume 43, p.157-163
Jin-Woo Park, Ji-Yeon Suh, Seung-Won Kang, Se-Eun Shin, Dong-Hyun Bae
32.
The effect of alloy compositions on the microstructure and the mechanical strength of oxide scales on four selected steels
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, Volume 556, October 2012, 246–252
Chan-Woo Yang, Seung-Mok Cho, Youn-Hee Kang , Jong-Sub Lee, Jin-Woo Park
40.
Hybrid-Structured Indium Tin Oxide with Ag Nanoparticles as Crystalline Seeds for Transparent Electrode with Enhanced Flexibility and Its Application to Organic Light Emitting Diodes
Japanese Journal of Applied Physics, May 2014, Volume 53, Issue 5S1, 05FB13
Ross E. Triambulo, Hahn-Gil Cheong, Huanyu Zhou, Gun-Hwan Lee and Jin-Woo Park
39.
The effect of the size and volume fraction of Zr2Cu on the sintering behavior of tungsten matrix composites during liquid-reactive sintering
International Jounal of Refractory Metals and Hard Materials, March 2014, Volume 43, p.157-163
Jin-Woo Park, Ji-Yeon Suh, Seung-Won Kang, Se-Eun Shin, Dong-Hyun Bae
32.
The effect of alloy compositions on the microstructure and the mechanical strength of oxide scales on four selected steels
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, Volume 556, October 2012, 246–252
Chan-Woo Yang, Seung-Mok Cho, Youn-Hee Kang , Jong-Sub Lee, Jin-Woo Park
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Brain-to-Speech Neural Interfaces for Neurodegeneratvie and Development Disorders

Our laboratory is conducting international collaborative research to develop a non-invasive, closed-loop platform for the diagnosis and treatment of neurodegenerative diseases.
Conventional clinical approaches face several critical limitations, including the use of invasive procedures, the need for continuous intervention by medical professionals, and an incomplete understanding of disease mechanisms. These challenges remain major barriers to the development of early diagnostic and therapeutic strategies for neurological disorders. Because such complex problems cannot be fully addressed within a single research field, large-scale international and multidisciplinary collaboration is essential.
This research aims to actively utilize speech signals, which have been only limitedly explored in previous studies, and to integrate them with brain signals through AI-based analysis. By enabling early diagnosis and therapeutic stimulation at the device level, we seek to implement a non-invasive closed-loop system capable of managing neurological diseases. The proposed system will ultimately be evaluated through international collaborative clinical studies.
2. Wearable Brain Signal Monitoring and Deep Brain Stimulation Device

Our laboratory researches next-generation ultrasound-based neural interface devices capable of non-invasively monitoring brain signals and selectively stimulating neural activity.
To enable early diagnosis and precise stimulation for neurodegenerative diseases, we are developing stretchable ultrasound devices that can maintain stable conformal contact with the curved and dynamic surface of the human scalp while precisely transmitting and receiving ultrasound signals. In particular, we aim to integrate ultrasound-based brain-signal monitoring and non-invasive neuromodulation within a single device platform.
Through international collaborative research, we ultimately seek to link this ultrasound-based neural interface with EEG and speech-signal analysis technologies. By detecting abnormal signals associated with neurodegenerative diseases and actively adjusting ultrasound stimulation parameters according to the patient’s brain state, we aim to realize a brain–speech closed-loop system for non-invasive diagnosis and therapy.








