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).
Heejin Yang
Lab Administrator
Graduate Students
Yeonsu received B.S. and M.S. degrees in Electronic Engineering at Hanbat National University. She joined the BraAIn 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
Publications & Honors
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H. Park†, Y. Kim†, S. Kim, A. Jeon, S.-E. Kim* & W. Choi* (2020). Comparison of electroencephalogram between propofol- and thiopental-induced anesthesia for awareness risk in pregnant women. Sci Rep 10:6192.
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Best Poster Award, 2023 KSCS Annual Conference (presenting author)
Ayu received M.S. degree in Engineering (Artificial Intelligence) at Sungkyunkwan University. She joined the BraAIn 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 A. Purwarianti* (2019). Improving bi-lstm
performance for indonesian sentiment analysis using paragraph
vector. ICAICTA 2019. -
I. A. P. A. Crisdayanti and J.-H. Lee* (2020). Sequence to Sequence CycleGAN for Non-Parallel Sentiment Transfer with Identity Loss Pretraining. RACS 2020.
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I. A. P. A. Crisdayanti, J. Bak, Y. Choi, and J.-H. Lee* (2022). IA-BERT: context-aware sarcasm detection by incorporating incongruity attention layer for feature extraction. The 37th ACM/SIGAPP Symposium on Applied Computing.
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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.
ChangGyun received B.S. degree in Computer Science Engineering at ShamYook University. He joined the BraAIn lab as M.S. student in Spring 2022.
Research Interests
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Motor Imagery EEG Decoding
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Emotion Recognition
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Autoencoder
Publications & Honors
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C. Jin and D. Oh and J. Kim*, "Multi-Dimensional User Preference Path Scheme Based on the Prize Collecting Traveling Salesman Problem", IJCSE, Vol. 11 No. 2 Mar-Apr 2020
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C. Jin and D. Oh and J. Kim*, "Multi-Dimensional Traveling Salesman Problem Scheme Using Top-n Skyline Query", KTSDE, vol.9, no.1 pp.17-24 (2020)
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C. Jin and S.-E. Kim*, "EEG-based Mental Workload Estimation using Encoder-Decoder Networks with Multilevel Feature Fusion," ICCE-Asia 2022.
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C. Jin and S.-E. Kim*, "Sensor Default Detection using Long Short Term Memory based Neural Networks," KICS Winter Conference 2022
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C. Jin and S.-E. Kim*, "Sensor Fault Detection and Prediction Techniques using Variational AutoEncoder based Data Trend Analysis," IEIE Summer Conference 2022
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Best Paper Award, 2022 ICCE-ASIA
Chanwoo received B.S. degree in Industrial Engineering at DanKook University. He joined the BraAIn lab as M.S. student in Fall 2022.
Research Interests
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EEG analysis
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Spike Neural Network
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Deep learning model compression
Publications & Honors
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C.W. Shin, J.Yim, Y. Kim, and S.-E. Kim* (2023) "휴식 상태 뇌파를 이용한 경도 인지 장애의 조기 발견을 위한 복잡성, 기능적 연결성 및 그래프 분석" KSCS Annual Conference 2023.
Mariem received B.S in Computer Science Engineering at Higher Institute of Informatics of El Manar. She joined the BraAIn lab as M.S. student in Spring 2024.
Research Interests
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Deep learning
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EEG signal processing
SeungGyu received B.S in Electronic Engineering at SeoulTech university. He joined the BraAIn lab as an undergraduate research assistant in Spring 2023.
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.
Undergraduate Research Assistants
JunYeop is an undergraduate student at Kongju National University majoring in Applied Mathematics. He joined the BraAIn lab as an undergraduate research assistant in Spring 2023.
Research Interests
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Generative models (GANs, VAEs, score-based models)
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EEG signal processing
Publications & Honors
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J.Yim and S.-E. Kim* (2023). A study on EEG data augmentation using score-based model based on Fourier coefficients generation. KICS Summer Conference 2023.
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Best Paper Award, 2023 KICS Summer Conference
Alumni
Ph.D
Youngchul Kwak, Ph.D. (2022.02)
External students from POSTECH (coadvised 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
Master
Research Intern
Dayena Jeong
Research Intern (Jun. 7, 2022 - Dec. 31, 2022)
Dept. AAI, SeoulTech
Analyzed EEG data for early detection of Alzheimer's disease
Hyerim Han
Research Intern (Jun. 7, 2022 - Dec. 31, 2022)
Dept. EE, SeoulTech
Developed machine learning techniques for EEG analysis
Eunseo Park
Research Intern (Jan. 1, 2022 - Dec. 31, 2022)
Dept. MSD, SeoulTech
Developed deep learning techniques for Lung Sound Classification
Current: GM Korea
Jihoon Jung
AURA (May 1, 2021 - Oct. 31, 2022)
Dept. AAI, SeoulTech
Developed deep learning techniques for detection of fake fingerprint spoofing
Yeji Choi
Research Intern (May 1, 2021 - Oct. 31, 2022)
Dept. AAI, SeoulTech
Studied EEG dynamics for Alzhimer disease and MCI patients
Kwang Il Kim
AURA (May 1, 2021 - Jan. 31, 2022)
Dept. AAI, SeoulTech
Developed CNN algorithms for EEG-based brain-computer interfaces
Yechan Kim
Research Intern (Jun 20, 2021 - Jan. 31, 2022)
Dept. AAI, SeoulTech
Studied on EEG-based neurofeedback and brain-computer interface
Subin Choi
AURA (May 1, 2021 - May. 31, 2022)
Dept. AAI, SeoulTech
Studied on basics of image processing and machine learning