
박사과정 졸업
최수인
About
Brief introduction of him/her
Education & Career
present: Post-Doc | 한국표준과학연구원 박사후연구원
2022.08: Ph.D. | Dept. of Medical IT Convergence Engineering, Kumoh National Institute of Technology (co-supervisor with Prof. Ki Moo Lim)
2018.02 :M.S. | Dept. of Medical IT Convergence Engineering, Kumoh National Institute of Technology
2016.02: B.S. | Dept. of Medical IT Convergence Engineering, Kumoh National Institute of Technology
Research Interest
Deep Learning for EEG Data Analysis
Ear-EEG-Based Brain-Computer Interface
Fellowship
Period | Affiliation | Funding Source |
Awards
Title
주최기관
날짜
Research Projects
Title
Funding source
Publication
Date of Issue
Title
Journal
Authors
August 29, 2018
Sensors
March 1, 2017
Clinical Feasibility of Brain-Computer Interface Based on Steady-State Visual Evoked Potential in Patients with Locked-in Syndrome: Case Studies
Open
Psychophysiology
2019
Frontiers in Neuroscience
February 2018
Journal of Biomedical Engineering Research
24 March 2022
Frontiers in Neuroscience
13 February 2024
Systematic investigation of optimal electrode positions and re-referencing strategies on ear biosignals
Open
International Journal of Human–Computer Interaction
2025 (in revision)
EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey and Review of the Last Twelve Years (2012-2023)
Open
International Journal of Human–Computer Interaction
Conferences
Date of Issue
Title
Journal
Authors
2017.11.10-11.
2018.5.11-12.
2018.12.01.
2019.05.9-11.
2019.11.07-09.
2020.08.27
2020.12.04
An Optimal Referencing Method and Electrode Position to Measure Various Biosignals around the Ears
Open
August 16-20, 2016
Feasibility of Using Ear EEG for Developing a Practical Brain-Computer Interface System: A Preliminary Study
Open
July 11-15, 2017
July 11-15, 2017
19-21 July, 2017
19-21 July, 2017
15-18 January, 2018
15-18 January, 2018
21-25 May, 2018
8-10 November, 2018
18-19 February, 2019
23-27 July, 2019
Changes in Spontaneous Electroencephalography by Transcranial Direct Current Stimulation during a Motor Task
Open
23-27 July, 2019.
Patents
Title
주최기관
날짜
참여자
Gallery
석박사통합 n학기
이름
About
Brief introduction of him/her
Education & Career
M.S. & Ph. D. Integrated Course | Dept. of 00, 00 University
2019.02: B.S. | Dept. of 00, 00 University
Research Interest
Deep Learning for Brain-Computer Interface
Machine Learning/Pattern Recognition
Fellowship
Period | Affiliation | Funding Source |
Awards
Title
주최기관
날짜
Research Projects
Title
Funding source
Publication
Date of Issue
Title
Journal
Authors
August 29, 2018
Sensors
March 1, 2017
Clinical Feasibility of Brain-Computer Interface Based on Steady-State Visual Evoked Potential in Patients with Locked-in Syndrome: Case Studies
Open
Psychophysiology
2019
Frontiers in Neuroscience
February 2018
Journal of Biomedical Engineering Research
24 March 2022
Frontiers in Neuroscience
13 February 2024
Systematic investigation of optimal electrode positions and re-referencing strategies on ear biosignals
Open
International Journal of Human–Computer Interaction
2025 (in revision)
EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey and Review of the Last Twelve Years (2012-2023)
Open
International Journal of Human–Computer Interaction
Conferences
Date of Issue
Title
Journal
Authors
2017.11.10-11.
2018.5.11-12.
2018.12.01.
2019.05.9-11.
2019.11.07-09.
2020.08.27
2020.12.04
An Optimal Referencing Method and Electrode Position to Measure Various Biosignals around the Ears
Open
August 16-20, 2016
Feasibility of Using Ear EEG for Developing a Practical Brain-Computer Interface System: A Preliminary Study
Open
July 11-15, 2017
July 11-15, 2017
19-21 July, 2017
19-21 July, 2017
15-18 January, 2018
15-18 January, 2018
21-25 May, 2018
8-10 November, 2018
18-19 February, 2019
23-27 July, 2019
Changes in Spontaneous Electroencephalography by Transcranial Direct Current Stimulation during a Motor Task
Open
23-27 July, 2019.
Patents
Title
주최기관
날짜
참여자


