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Team

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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).

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More details about Dr. Kim

Heejin Yang

Lab Administrator

Tel.   02-970-9747         

Email  hjyang (at) seoultech.ac.kr

Office  Building 53 #419

Graduate Students

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Yeonsu Kim

Ph.D. Candidate

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

  • Brain mechanisms under general anesthesia

  • EEG markers for postoperative delirium

Publications & Honors

  • 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.

  • Best Poster Award, 2023 KSCS Annual Conference (presenting author)

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Ayu

Ph.D. Candidate

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

  • Deep learning

  • Semi-supervised learning

Publications & Honors

  • 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.

  • 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

  • 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.

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ChangGyun Jin

M.S. Candidate

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

  • Motor Imagery EEG Decoding

  • Emotion Recognition

  • Autoencoder

Publications & Honors

  • 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

  • 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)

  • C. Jin and S.-E. Kim*, "EEG-based Mental Workload Estimation using Encoder-Decoder Networks with Multilevel Feature Fusion," ICCE-Asia 2022.

  • C. Jin and S.-E. Kim*, "Sensor Default Detection using Long Short Term Memory based Neural Networks," KICS Winter Conference 2022

  • C. Jin and S.-E. Kim*, "Sensor Fault Detection and Prediction Techniques using Variational AutoEncoder based Data Trend Analysis,"  IEIE Summer Conference 2022

  • Best Paper Award, 2022 ICCE-ASIA

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ChanWoo Shin

M.S. Candidate

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

  • EEG analysis

  • Spike Neural Network

  • Deep learning model compression

Publications & Honors

  • 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.

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Mariem Kallel

M.S. Candidate

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

  • Deep learning

  • EEG signal processing

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SeungGyu Jeong

Research Intern

SeungGyu received B.S in Electronic Engineering at SeoulTech university. He joined the BraAIn lab as a MS student in Spring 2024.  

Research Interests

  • Transformer for vision & audio

  • Audio signal preprocessing

Publications & Honors

  • 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

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JunYeop Yim

Research Intern

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

  • Generative models (GANs, VAEs, score-based models)

  • EEG signal processing

Publications & Honors

  • 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.

  • Best Paper Award, 2023 KICS Summer Conference

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

Master

Research Intern

JunYeop Yim

Research Intern (Jan. 7, 2023 - Aug. 31, 2023)

Dept. Applied Mathematics, Kongju National University

Generative models for EEG augmentation

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 the detection of fake fingerprint spoofing

Yeji Choi

Research Intern (May 1, 2021 - Oct. 31, 2022)

Dept. AAI, SeoulTech

Studied EEG dynamics for Alzheimer's 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

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