Team
Seong-Eun Kim, Ph.D.
Lab Director
Dr. Kim is an Assistant Professor in the Department of Applied Artificial Intelligence at Seoul National University of Science and Technology (SeoulTech), Seoul in South Korea. He is the director of the Brain and Artificial Intelligence lab.
Before joining the faculty at SeoulTech in 2021, Dr. Kim was a Postdoctoral Associate at Massachusetts Institute of Technology (MIT) / Harvard Medical School from 2014 to 2017, then an Assistant Professor in the Department of Electronic Engineering at Hanbat National University. Dr. Kim received Ph.D and B.S. degrees in Electrical Engineering from Pohang University of Science and Technology (POSTECH).
Graduate Students
Ayu is pursuing a Ph.D. in the Department of Applied Artificial Intelligence.
She joined the BrAIn lab as Ph.D. student in Spring 2022.
Research Interests
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Deep learning
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Semi-supervised learning
Publications & Honors
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I. A. P. A. Crisdayanti and S.-E. Kim* (2022). Multilevel Feature Fusion-based Convolutional Neural Network for Anomaly Classification of Respiratory Sound. ICCE-Asia 2022.
SeungGyu is pursuing a M.S. in the Department of Applied Artificial Intelligence.
He joined the BrAIn lab as a M.S. student in Spring 2024.
Research Interests
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Transformer for vision & audio
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Audio signal preprocessing
Publications & Honors
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S. Jeong and S.-E. Kim* (2023). A study on classification of respiratory disease based on digital lung sound using audio spectrogram transformer. KICS Summer Conference 2023.
Mariem is pursuing a M.S. in the Department of Applied Artificial Intelligence.
She joined the BrAIn lab as M.S. student in Spring 2024.
Research Interests
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Deep learning
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EEG signal processing
Jingyo is pursuing a M.S. in the Department of Applied Artificial Intelligence.
He joined the BrAIn lab as an undergraduate research assistant in winter 2023.
Research Interests
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Spiking Neural Network
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Audio deep learning
Yeonsu received B.S. and M.S. degrees in Electronic Engineering at Hanbat National University. She joined the BrAIn lab as Ph.D. student in Spring 2022.
Research Interests
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Brain mechanisms under general anesthesia
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EEG markers for postoperative delirium
Jeongin is pursuing a M.S. in the Department of Defense AI Applications
She joined the BrAIn lab as M.S. student in Spring 2025.
Research Interests
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Bio signal processing
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Defense artificial intelligence
Yeongseo is an undergraduate student at Seoul National University of Science and Technology majoring in Applied Artificial Intelligence.
She joined the BrAIn lab as an undergraduate research assistant in spring 2024.
Research Interests
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Emotion Recognition using EEG
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Cognitive reappraisal using VR
Undergraduate Research Assistants
DongHeon is pursuing a M.S. in the Department of Applied Artificial Intelligence.
He joined the BrAIn lab as a M.S. student in Summer 2024.
Research Interests
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EEG signal processing
SangYeop is an undergraduate student at Seoul National University of Science and Technology majoring in Applied Artificial Intelligence.
He joined the BrAIn lab as an undergraduate research assistant in winter 2024.
Research Interests
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Motion implementation in virtual environments using BCI and VR
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Emotion detection via brain stimulation
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Deep learning on EEG signals
SangYeop Jeong
Research Intern
JiYun is an undergraduate student at Seoul National University of Science and Technology majoring in Computer Science and Engineering.
She joined the BrAIn lab as an undergraduate research assistant in winter 2024.
Research Interests
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Deep learning
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Brain Cognition using EEG
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Inducing Behavior via brain stimulation
JiYun Kim
Research Intern
Yeongseo Na
Research Intern
Alumni
Ph.D
Youngchul Kwak, Ph.D. (2022.02)
External students from POSTECH (co-advised by Dr. Kim and Prof. Woo-Jin Song at POSTECH)
Developed deep learning structures for reliable brain-computer interface systems
Current: Samsung Advanced Institute of Technology, Samsung Electronics
Yeon-Su Kim, Ph.D. (2025.08)
EEG
Current: Chungnam National University Sejong Hospital
Master
ChangGyun Jin (2024.08) jcg.brainai@gmail.com
Study on two-phase multi-task autoencoder deep learning architecture for improving EEG classification
Current: Monitor Corporation [link]
Chanwoo Shin (2024.08) sskymc@gmail.com
Optimal spike neural network model for bio-signal classification
Current: Purple AI
Research Intern
Haneul Kim
Research Intern (Aug. 1, 2023 - Dec. 31, 2024)
Dept. Applied Artificial Intelligence, SEOULTECH
Deep learning models for EEG-based emotion recognition
Taewan Kim
Research Intern (Aug. 1, 2024 - Dec. 31, 2024)
Dept. Applied Artificial Intelligence, SEOULTECH
Deep learning models for EEG-based emotion recognition
Danho Kim
Research Intern (Jul. 1, 2023 - Dec. 31, 2023)
Dept. Applied Artificial Intelligence, SEOULTECH
Deep learning models for EEG-based emotion recognition
JunYeop Yim
Research Intern (Jan. 7, 2023 - Aug. 31, 2023)
Dept. Applied Mathematics, Kongju National University
Generative models for EEG augmentation