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Please note that these articles are provided here to ensure timely and unbiased dissemination of science to the public on a noncommercial basis. Copyright and all rights therein are maintained by the respective copyright holders as specified in each document.

(†equally contributed authors, * corresponding authors, D: domestic journal in Korea)

In Preparation

  • B. H. Hong, Y.-S. Kim,, and S.-E. Kim*, "Age-dependent brain connectivity analysis", data recording.

  • I.-K. Song†, Y.-S. Kim†, B. A. Lee, W.-J. Shin, and S.-E. Kim*, "Age-dependent electroencephalographic spectral patterns during hypothermic cardiopulmonary bypass in children", writing.

  • J. Yim and S.-E. Kim*, "Score-based EEG Data Augmentation," writing.

  • T. Kang, C. Shin, and S.-E. Kim*, "CNN to SNN conversion." writing.

  • H. Kim, C. Jin, and S.-E. Kim*, "Deep learning for EEG-based emotion recognition," writing.



  • [49] I. A. P. A. Crisdayanti. S. Nam, S. Jung, and S.-E. Kim, "Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification," submitted to IEEE Transactions on Industrial Informatics.

  • [48] C. Kang, H. J. Ku, H. H. Moon, S.-E. Kim, J. H. Jo, Y. I. Choi, and D. H. Shin, "Tailoring Artificial Intelligence for Safe Liver Resection Volume Prediction in Major Hepatectomy," submitted to Computers in Biology and Medicine.

  • [47] H.-S. Lee, C. Jin, C. Shin, and S.-E. Kim*, "Sparse Diffusion LMS Algorithm with Hard Thresholding over Networks," Mathematics, vol. 11, no. 22, pp. 4638, Nov. 2023.

  • [46] C. Jin, A. H. Song, and S.-E. Kim*, "Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification," submitted to IEEE Journal of Biomedical and Health Informatics.

  • [45] B. Park, S. Y. Kim, J.-S. Park, H. Cho, S.-E. Kim, H. Ryu, and K. Seo, "Integrating biomarkers from virtual reality and magnetic resonance imaging: A multimodal learning approach for early detection of mild cognitive impairment," submitted to Information Processing and Management.

  • [44] T. Kang, K.-I. Oh, J.-J. Lee, S.-E. Kim, W. Lee, S.-E. Kim, and W. Oh, "Interference-Robust Fake Fingerprint Detection by Spiking Neural Network-Based Feature Weighting for Electric Response," submitted to IEEE Transactions on Instrumentation and Measurement.

  • [43] S.-E. Kim, C. Shin, J. Yim, K. Seo, H. Ryu, H. Choi, J. Park*, and B.-K. Min*, "Resting-State Electroencephalographic Characteristics Related to Mild Cognitive Impairments," Frontiers in Psychiatry. vol. 14, no. 1231861, Sept. 2023.

  • [42] T. Kang, K.-I. Oh, J.-J. Lee, S.-E. Kim, W. Lee, W. Oh, and S.-E. Kim*, "Anti-spoofing for Fingerprint Recognition Using Electric Body Pulse Response," IEEE Internet of Things Journal in press.

  • [41] Y.-S. Kim, J. Kim, S. Park, K. N. Kim, Y. Ha, S. Yi, D. A. Shin, S. U. Kuh, C. K. Lee, B.-N. Koo*, S.-E. Kim*, "Differential Effects of Sevoflurane and Desflurane on Intraoperative Electroencephalogram Dynamics Associated with Postoperative Delirium", Journal of Clinical Anesthesia, in major revision.

  • [40] Y. Kwak, K. Kong, W.-J. Song, and S.-E. Kim*, "Subject-Invariant Deep Neural Networks based on Baseline Correction for EEG Motor Imagery BCI," IEEE Journal of Biomedical and Health Informatics, vol. 27, no 4, pp. 1801-1812, Apr. 2023.










Ph.D. Thesis 

  • S.-E. Kim, Novel Adaptive Filters with Active Autoregulation Mechanisms, POSTECH, Aug 2010.

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