학력
- 2004. 3 ~ 2010. 8, Ph.D. Division of Electrical and Computer Engineering, POSTECH, Korea
- 2000. 3 ~ 2004. 2, B.S. Department of Electronic and Electrical Engineering, POSTECH, Korea
주요 경력
- 2023. 10 ~ current, Associate Professor, SeoulTech
- 2021. 3 ~ 2023. 9, Assistant Professor, SeoulTech
- 2017. 3 ~ 2021. 2, Assistant Professor, Hanbat National University
- 2014. 1 ~ 2017. 2, Postdoctoral Associate, MIT (USA)
- 2011. 10 ~ 2014. 1, Senior Engineer, Samsung Electronics
- 2010. 9 ~ 2011. 9, Postdoctoral Fellow, POSTECH
주요논문 및 저서
◾ Y. Kwak, K. Kong, W.-J. Song, B.-K. Min and S.-E. Kim, "Multilevel Feature Fusion with 3D Convolutional Neural Network for EEG Based Workload Estimation", IEEE ACCESS, vol. 8, pp. 16009-16021, Jan 2020.
◾ L. Cornelissen†, S.-E. Kim†, P. L. Purdon, E. N. Brown, and C. B. Berde, "Electroencephalographic Markers of Brain Development during Sevoflurane Anaesthesia in Children up to 3 Years Old," (Featured in Front Cover) British Journal of Anaesthesia, vol. 120, no. 6, pp. 1274-1286, Jun 2018. (†equally contributed authors)
◾ S.-E. Kim†, M. Behr†, D. Ba†, and E. N. Brown, "State-Space Multitaper Time-Frequency Analysis," (Featured in MIT News) PNAS, vol. 115, no.1, pp. E5-E14, Jan 2018. (†equally contributed authors)
◾ L. Cornelissen†, S.-E. Kim†, P. L. Purdon, E. N. Brown, and C. B. Berde, "Age-dependent Electroencephalogram (EEG) Patterns during Sevoflurane General Anesthesia in Infants," eLife, 06513, 2015. (†equally contributed authors)
◾ S.-E. Kim, J.-W. Lee, and W.-J. Song, "A Theory on the Convergence Behavior of the Affine Projection Algorithm," IEEE Transactions on Signal Processing, vol. 59, no. 12, pp. 6233-6239, Dec 2011.
저널 논문
◾ H.-S. Lee, J.-W. Lee, W.-J. Song and S.-E. Kim*, "Adaptive Algorithm for Sparse System Identification based on Hard-Thresholding Techniques," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 12, pp. 3597-3601, Dec 2020.
◾ H. Park†, Y. Kim†, S. Kim, A. J, S.-E. Kim*, and W. Choi*, "Comparison of electroencephalogram between propofol- and thiopental-induced anesthesia for awareness risk in pregnant women", Scientific Reports, 10:6192, Apr 2020.(†equally contributed authors, *co-corresponding authors)
◾ Y. Kwak, K. Kong, W.-J. Song, B.-K. Min and S.-E. Kim*, "Multilevel Feature Fusion with 3D Convolutional Neural Network for EEG Based Workload Estimation", IEEE ACCESS, vol. 8, pp. 16009-16021, Jan 2020.
◾ J.-H. Chung and T. Kang*, D. Kwun, J. Lee, and S.-E. Kim*, "User Recognition based on Human Body Impulse Response: A Feasibility Study," IEEE ACCESS, vol. 8, pp. 6627-6637, Dec 2019. (*co-corresponding authors)
◾ Y. Kwak, W.-J. Song, and S.-E. Kim*, "Speckle-Noise-Invariant Convolutional Neural Network for SAR Target Recognition," IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 4, pp. 549-553, Apr 2019.
◾ S.-E. Kim, D. Ba, and E. N. Brown, "A Multitaper Frequency-Domain Bootstrap Method," IEEE Signal Processing Letters, vol. 25, no. 12, pp. 1805-1809, Dec 2018.
◾ J.-W. Lee, J.-T. Kong, W.-J. Song, and S.-E. Kim*, "Data-Reserved Periodic Diffusion LMS for Reducing Communications over Networks," IEEE ACCESS, vol. 6, pp. 54636-54650, Sep 2018.
◾ J.-T. Kong, D.-C. Ahn, S.-E. Kim, and W.-J. Song, "Robust Distributed Clustering Algorithm over Multitask Networks," IEEE ACCESS, vol. 6, pp. 45439-45447, Aug 2018.
◾ L. Cornelissen†, S.-E. Kim†, P. L. Purdon, E. N. Brown, and C. B. Berde, "Electroencephalographic Markers of Brain Development during Sevoflurane Anaesthesia in Children up to 3 Years Old," (Featured in Front Cover) British Journal of Anaesthesia, vol. 120, no. 6, pp. 1274-1286, Jun 2018. (†equally contributed authors)
◾ S.-E. Kim†, M. Behr†, D. Ba†, and E. N. Brown, "State-Space Multitaper Time-Frequency Analysis," (Featured in MIT News) PNAS, vol. 115, no.1, pp. E5-E14, Jan 2018. (†equally contributed authors)
◾ O. Akeju, L. Hobbs, L. Gao, S. Burns, K. Pavone, G. S. Plummer, E. C. Walsh, T. Houle, S.-E. Kim, M. T. Bianchi, J. M. Ellenbogen, E. N. Brown, "Dexmedetomidine Promotes Biomimetic Non-rapid Eye Movement Stage 3 Sleep in Humans: A Pilot Study," Clinical Neurophysiology, vol. 129, no. 1, pp. 69-78, Jan 2018.
◾ J.-T. Kong, J.-W. Lee, S.-E. Kim, and W.-J. Song, "Diffusion LMS Algorithm with Muti-combination for Distributed Estimation: Formation and Performance Analysis," Digital Signal Processing, vol. 71, pp. 117-130, Dec 2017.
◾ F. J. Flores, K. E. Hartnack, K. A. B. Fath, S.-E. Kim, M .A. Wilson, E. N. Brown, and P. L. Purdon, "Thalamocortical synchronization during induction and emergence from propofol-induced anesthesia," PNAS, vol. 114, no. 32, pp. E6660-E6668, Aug 2017.
◾ O. Akeju†, S.-E. Kim†, R. Vazquez, J. Rhee, K. J. Pavone, L. E. Hobbs, P. L. Purdon, and E. N. Brown, "Spatiotemporal Dynamics of Dexmedetomidine-induced Electroencephalogram Oscillations," PLoS ONE, vol. 11, no. 10, e0163431, Oct 2016. (†equally contributed authors) [IF: 2.806]
◾ J. Kenny, J. Chemali, C. J. Van Dort, S.-E. Kim, D. Ba, N. E. Taylor, E. N. Brown, and K. Solt, "Physostigmine and Methylphenidate Induce Distinct Arousal States during Isoflurane General Anesthesia in Rats,'' Anesthesia & Analgesia, vol. 123, no. 5, pp. 1210-1219, Nov 2016.
◾ S.-E. Kim, J.-W. Lee, and W.-J. Song, "A Noise Resillent Affine Projection Algorithm and Its Performance Analysis," Signal Processing, vol. 121, pp. 94-101, Apr 2016.
◾ L. Cornelissen†, S.-E. Kim†, P. L. Purdon, E. N. Brown, and C. B. Berde, "Age-dependent Electroencephalogram (EEG) Patterns during Sevoflurane General Anesthesia in Infants," eLife, 06513, 2015. (†equally contributed authors)
◾ M. B. Westover, S.-E. Kim, SN Ching, P. L. Purdon, and E. N. Brown, "Robust Control of Burst Suppression for Medical Coma," Journal of Neural Engineering, vol. 12, no. 4, 046004 (22pp), Aug 2015.
◾ H.-S. Lee, S.-E. Kim, J.-W. Lee, and W.-J. Song, "A Variable Step-size Diffusion LMS Algorithm for Distributed Estimation," IEEE Transactions on Signal Processing, vol. 63, no. 7, pp. 1808-1820, Apr 2015.
◾ J. W. Lee, S.-E. Kim, and W.-J. Song, "Data-selective Diffusion LMS for Reducing Communication Overhead," Signal Processing, vol. 113, pp. 211-217, Aug 2015.
◾ K.-H. Kim, Y. S. Choi, S.-E. Kim, and W.-J. Song, "A Low-Complexity Complementary-Pair Affine Projection Adaptive Filter," IEICE Trans Fundamentals Elec, Comm & Comp Sci, vol. E97-A, no. 10, pp.2074-2078, Oct 2014.
◾ S.-E. Kim, Y.-S. Choi, J.-W. Lee, and W.-J. Song, "Partial-Update Normalized Sign LMS Algorithm Employing Sparse Updates," IEICE Trans Fundamentals Elec, Comm & Comp Sci, vol. E96-A, no. 6, pp. 1482-1487, Jun 2013.
◾ M.-K. Song, S.-E. Kim, Y.-S. Choi, and W.-J. Song, "Selective Normalized Subband Adaptive Filter with Subband Extension," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 60, no. 2, pp. 101-105, Feb 2013.
◾ J.-W. Lee, S.-E. Kim, W.-J. Song, and A. H. Sayed, "Spatio-Temporal Diffusion Strategies for Distributed Estimation and Detection over Networks," IEEE Transactions on Signal Processing, vol. 60, no. 8, pp. 4017-4034, Aug 2012.
◾ Y.-S. Choi, S.-E. Kim, and W.-J. Song, "Noise-Robust Normalized Subband Adaptive Filtering," IET Electronics Letters, vol. 48. no. 8, pp. 432-434, Apr 12, 2012.
◾ S.-E. Kim, J.-W. Lee, and W.-J. Song, "A Theory on the Convergence Behavior of the Affine Projection Algorithm," IEEE Transactions on Signal Processing, vol. 59, no. 12, pp. 6233-6239, Dec 2011.
◾ K.-H. Kim, Y.-S. Choi, S.-E. Kim, and W.-J. Song, "An Affine Projection Algorithm With Periodically Evolved Update Interval," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 58, no.11, pp. 763-767, Nov 2011.
◾ K.-H. Kim, S.-E. Kim, and W.-J. Song, "An Alternating Selection for Parallel Affine Projection Filters," IEICE Trans Fundamentals Elec, Comm & Comp Sci, vol. E94-A no.7 pp.1576-1580, Jul 2011.
◾ S.-E. Kim, Y.-S. Choi, M.-K. Song, and W.-J. Song, "A Subband Adaptive Filtering Algorithm Employing Dynamic Selection of Subband Filters," IEEE Signal Processing Letters, vol. 17, no. 3, pp. 245-248, Mar 2010.
◾ J.-J. Hong, S.-E. Kim, and W.-J. Song, "A Clipping Reduction Algorithm Using Backlight Luminance Compensation for Local Dimming Liquid Crystal Displays," IEEE Transactions on Consumer Electronics, vol. 56, no. 1, pp.240-246, Feb 2010.
◾ S.-E. Kim, J.-Y. An, J.-J. Hong, T. W. Lee, C. G. Kim, and W.-J. Song, "How to Reduce Light Leakage and Clipping in Local Dimming Liquid-Crystal Displays," Journal of the Society for Information Display, vol. 17, no. 12, pp. 1051-1057, Dec 2009.
◾ S.-E. Kim, S.-J. Kong, and W.-J. Song, "An Affine Projection Algorithm with Evolving Order," IEEE Signal Processing Letters, vol. 16, no. 11, pp. 937-940, Nov 2009.
◾ Exploring the Multimodal Integration of VR and MRI biomarkers for Enhanced Early Detection of Mild Cognitive Impairment, ACM Conference on Human Factors in Computing Systems, 2024김성은
◾ Differential effects of sevoflurane and desflurane on frontal intraoperative electroencephalogram dynamics associated with postoperative delirium, JOURNAL OF CLINICAL ANESTHESIA, vol.93, 2024김성은
◾ Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification, IEEE Open Journal of Engineering in Medicine and Biology, vol.5 pp.383~392, 2024김성은
◾ Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification, IEEE ACCESS, vol.12 pp.77356~77367, 2024김성은
◾ Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study, JOURNAL OF MEDICAL INTERNET RESEARCH, vol.26, 2024김성은
◾ Anti-Spoofing for Fingerprint Recognition Using Electric Body Pulse Response, IEEE INTERNET OF THINGS JOURNAL, vol.11 No.4 pp.5993~6006, 2024김성은
◾ Predicting Safe Liver Resection Volume for Major Hepatectomy Using Artificial Intelligence, JOURNAL OF CLINICAL MEDICINE, vol.13 No.2, 2024김성은
◾ Sparse Diffusion Least Mean-Square Algorithm with Hard Thresholding over Networks, Mathematics, vol.11 No.22 pp.4638~, 2023김성은
◾ Resting-state electroencephalographic characteristics related to mild cognitive impairments, FRONTIERS IN PSYCHIATRY, vol.14, 2023김성은
◾ 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, 2023김성은
◾ 기계 학습에 기반한 가상현실의 손 움직임을 통한 경도인지장애 조기 선별: 가상현실 기반의 경도인지장애 조기 선별, Journal of Cognitive Intervention and Digital Health, vol.1 No.1 pp.1~7, 2022김성은
◾ Neurodynamic correlates for the cross-frequency coupled transcranial alternating current stimulation during working memory performance, FRONTIERS IN NEUROSCIENCE, vol.16, 2022김성은
◾ Spiking Neural Networks-Inspired Signal Detection Based on Measured Body Channel Response, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol.71, 2022김성은
◾ Penalty based robust learning with noisy labels, NEUROCOMPUTING, vol.489 pp.112~127, 2022김성은
◾ FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol.30 pp.329~339, 2022김성은
◾ Adaptive State-Space Multitaper Spectral Estimation, IEEE SIGNAL PROCESSING LETTERS, vol.29 pp.523~527, 2022김성은
◾ Measurement and Analysis of Human Body Channel Response for Biometric Recognition, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol.70, 2021김성은
◾ Measurement and Evaluation of Electric Signal Transmission Through Human Body by Channel Modeling, System Design, and Implementation, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol.70, 2021김성은
◾ 공과대학 학생들의 시각적 대시보드를 활용한 온라인 토론활동 경험, 공학교육연구, vol.24 No.1 pp.24~33, 2021김성은
학술대회
◾ Y. Kwak, W.-J. Song, S.-E. Kim, “Deep Feature Normalization using Rest State EEG Signals for Brain-Computer Interface,” Internationl Conference on Electronics, Information, and Communication (ICEIC) 2021, Jan. 31-Feb. 3, Jeju, Korea (2021) (Best Paper Award)
◾ Y. Kwak, W.-J. Song, S.-E. Kim, “Graph Neural Network with Multilevel Feature Fusion for EEG based Brain-Computer Interface,” The 5th IEEE/IEIE International Conference on Consumer Electronics (ICCE) Asia 2020, Nov. 1-3, Haeundae, Busan, Korea (2020).
◾ Y. Kwak, W.-J. Song, B.-K. Min, and S.-E. Kim, “3D CNN based Multilevel Feature Fusion for Workload Estimation,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Feb. 26-28, Gangwon, Korea (2020).
◾ S.-E. Kim, D. Ba, and E. N. Brown, “A Multitaper Frequency-Domain Bootstrap Method," IEEE Int. Conf. on Acoustics, Speech, and Signal Process., May 12-17, Brighton, UK (2019).
◾ Y. Kwak, W.-J. Song, and S.-E. Kim, “Classification of Working Memory Performance from EEG with Deep Artificial Neural Networks,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Feb. 18-20, Gangwon, Korea (2019).
◾ S.-E. Kim, M. Behr, D. Ba, and E. N. Brown, "State-Space Model Based Multitaper Spectral Estimation," The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jul 11-15, Jeju Island, Korea (2017).
◾ S.-E. Kim, D. Ba, and E. N. Brown, "Multitapter Frequency Domain Bootstrap," The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015), Aug 25-29, Milan, Italy (2015).
◾ S.-E. Kim, Y. Kim, J. Yoon, and E. S. Kim, "Indoor Navigation System Using Geomagnetic Anormalies for Smartphones," International Conference on Indoor Positioning and Indoor Navigation, IPIN'12, Sep 13-15, Sydney, Australia, (2012).
◾ H.-S. Lee, S.-E. Kim, J.-W. Lee, and W.-J. Song, "A Variable Step-size Diffusion LMS Algorithm for Distributed Estimation over Networks," in Proceedings of The 27th Internation Technical Conference on Circuits/Sytems, Computers, and Communications, ITC-CSCC'12, Jul 15-18, Sapporo, Japan, (2012). (Best Paper Award)
◾ M.-K. Song, S.-E. Kim, Y.-S. Choi, and W.-J. Song, "An Efficient Normalized Subband Adaptive Filter Exploiting a Subset of Subbands," European Signal Processing Conference (EUSIPCO-2011), Aug 29- Sep. 2, Barcelona, Spain (2011).
◾ J.-W. Lee, S.-E. Kim, W.-J. Song, and A. H. Sayed, "Spatial-Temporal Diffusion LMS Algorithms for Distributed Estimation Over Adaptive Network," European Signal Processing Conference (EUSIPCO-2011), Aug 29- Sep 2, Barcelona, Spain (2011).
◾ S.-E. Kim, J.-W. Lee, and W.-J. Song, "Steady-State Analysis of the NLMS Algorithm with Reusing Coefficient Vector and a Method for Improving Its Performance IEEE Int. Conf. on Acoustics, Speech, and Signal Process. (ICASSP '11), pp. 4120-4123, May 22-27, Prague, Czech Republic (2011).
◾ J.-J. Hong, S.-E. Kim, and W.-J. Song, "Clipping Reduction Algorithm using Backlight Luminance Compensation for Local Dimming in Liqiuid Crystal Displays," IEEE International Conference on Consumer Electronics Digest of Technical Papers (ICCE'10), pp. 55-56, Jan 11-13, Las Vegas, USA (2010).
◾ J.-H. Lee, S.-E. Kim, T.-H. Lee, and W.-J. Song, "Flicker Reduction Backlight Control based on Adaptive Moving Average Filtering," SID International Symposium Digest of Technical Papers, vol. 40, pp. 1294-1297, May 31-Jun. 5, San Antonio, USA (2009).
◾ J.-Y. An, S.-E. Kim, and W.-J. Song, "Adaptive Local Dimming Backlight for Liquid Crystal Displays," Proceedings of The 15th International Display Workshops (IDW'08), pp. 285-288, Dec 3-5, Niigata, Japan (2008). (Outstanding Poster Paper Award)
◾ K.-H. Kim, Y.-S. Choi, S.-E. Kim, and W.-J. Song, "Convex Combination of Affine Projection Filters with Individual Regularization," Proceedings of The 23rd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC'08), pp. 901-904, Jul 6-9, Shimonoseki, Japan (2008).
◾ S.-E. Kim, Y.-S. Choi, Y.-K. Han, and W.-J. Song, "Partial-Update L∞-Norm Adaptive Filtering Algorithm with Sparse Updates," Proceedings of The 23rd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC'08), pp.905-908, Jul 6-9, Shimonoseki, Japan (2008).
◾ Taewan Kim, ChangGyun Jin, Seong-Eun Kim, TWEN: EEG Emotion Recognition Model Based on Weakly Supervised Learning Framework with Two-Phase Multitask Autoencoder, Proceedings on 15th International Conference on ICT Convergence, Ramada Plaza Hotel, Jeju, 2024김성은
◾ 신찬우, 임진교, 김성은, EEG 기반 Motor Imagery 분류를 위한 Surrogate Gradient Learning 기반 SNN 모델, 하계학술대회 논문집, 제주대학교 아라컨벤션홀, 2024김성은
◾ 김태완, 진창균, 김성은, Two-phase Multitask Autoencoder 구조를 활용한 Weakly Supervised 학습 기반의 EEG 감정 인식 모델, 한국전기전자학회 학술대회 논문집, 제주대학교 아라컨벤션홀, 2024김성은
◾ Mariem Kallel, Bogyeom Park, Kyoungwon Seo, Seong-Eun Kim, Multimodal Machine Learning Model For MCI Detection Using EEG, MRI and VR Data, Proceedings on The 39th International Technical Conference on Circuits/Systems, Computers, and Communications, Okinawa Institute of Science and Technology Graduate University, 2024김성은
◾ Seung Gyu Jeong and Seong-Eun Kim, Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone, Proceedings on The 39th International Technical Conference on Circuits/Systems, Computers, and Communications, Okinawa Institute of Science and Technology Graduate University (OIST) , 2024김성은
◾ Ida Ayu Putu Ari Crisdayanti and Seong-Eun Kim, Few-Shot Learning for Respiratory Sound Classification using Limited Data, Proceedings on 39th International Technical Conference on Circuits/Systems, Computers and Communications, Okinawa Institute of Science and Technology (OIST), 2024김성은
◾ 김연수, 김성은, 수술 후 섬망 진단을 위한 알파 전력 및 네트워크 분석, 한국인지과학회 논문집, 한국과학기술회관, 2024김성은
◾ 박보검, 김유원 박진석, 최호진, 김성은, 류호경, 서경원, Exploring the Multimodal Integration of VR and MRI Biomarkers for Enhanced Early Detection of Mild Cognitive Impairment, Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, Hawaii, 2024김성은
◾ ChangGyun Jin, ChanWoo Shin, Hanul Kim, and Seong-Eun Kim, Multitask Autoencoder-based Two-Phase Framework using Multilevel Feature Fusion for EEG Emotion Recognition, Proceedings on International Conference on Electronics, Information, and Communication 2024, Taipei Marriott Hotel, 2024김성은
◾ 김단호, 김하늘, 진창균, Attention-Temporal Convolutional Networks for EEG-based Emotion Recognition, Proceedgins of ICCE-Asia, Busan, Korea, 2023김성은
◾ 최윤영, 이용선, 진창균, 김성은, 감정 인식을 위한 GNN 기반 DGCNN 모델의 활용, 한국전기전자학회 논문집, 제주대학교, 2023김성은
◾ 김단호, 김하늘, 진창균, 김성은, EEG 기반 감정인식을 위한 Attention-Temporal Convolution 구조의 성능 검증, 한국전기전자학회 학술대회 논문집, 제주대학교, 2023김성은
◾ 신찬우, 김성은, Complexity and Graph Analysis for Early Detection of Mild Cognitive Impairment using Resting-state EEG, Proceedings of EMBC, Sydney ICC, Australia, 2023김성은
◾ Ida, 김성은, High-level and Low-level Feature Fusion Through Knowledge Propagation for Respiratory Sound Classification, Proceedings of EMBC, Sydney, Australia, 2023김성은
◾ 진창균, 김성은, Two-Phase Autoencoder-based Convolutional Neural Network for EEG Motor Imagery Classification, Proceedings of EMBC, Sydney, Australia, 2023김성은
◾ 김연수, 김성은, Machine Learning-based Postoperative Delirium Prediction using Frontal Intraoperative Electroencephalogram, Proceedings of EMBC, Sydney, Australia, 2023김성은
◾ 임준엽, 김성은, 푸리에 계수에 기반한 score-based model을 이용한 뇌파 데이터 증강에 관한 연구, 한국통신학회 학술대회 논문집, 제주 라마다 호텔, 2023김성은
◾ 정승규, 김성은, Audio Spectrogram Transformer 를 이용한 폐음 기반 호흡기 질환 분류에 관한 연구, 한국통신학회 학술대회 논문집, 제주 라마다 호텔, 2023김성은
◾ 신찬우, 임준엽, 김연수, 김성은, 휴식 상태 뇌파를 이용한 경도 인지 장애의 조기 발견을 위한 복잡성, 기능적 연결성 및 그래프 분석, 한국인지과학회 하술대회 논문집, 서울 한국과학기술회관, 2023김성은
◾ 김연수, 김성은, Differential effects of sevoflurane and desflurane on intraoperative electroencephalo-gram dynamics associated with postoperative delirium,, 한국인지과학회 학술대회 논문집, 서울 한국과학기술회관, 2023김성은
◾ 최예지, 김연수, 박진석, 최호진, 김성은, Phase Lag Entropy를 이용한 알츠하이머병의 뇌 연결성 연구, 추계학술대회 논문집, 곤지암리조트, 2022김성은
◾ 정지훈, 진창균, 김성은, Autoencoder 및 Variational Autoencoder 기반 위조지문 판별 모델 비교, 추계학술대회 논문집, 곤지암리조트, 2022김성은
◾ 정다예나, 김연수, 박진석, 최호진, 김성은, EEG 리듬 분석 기반의 경도인지장애 예측, 추계학술대회 논문집, 곤지암리조트, 2022김성은
◾ Ida Ayu Putu Ari Crisdayanti, Seong-Eun Kim, Multilevel Feature Fusion-based Convolutional Neural Network for Anomaly Classification of Respiratory So, The Seventh International Conference On Consumer Electronics (ICCE) Asia, SONO CALM, Yeosu, South Korea, 2022김성은
◾ Chang-Gyun Jin, Seong-Eun Kim, EEG-based Mental Workload Estimation using Encoder-Decoder Networks with Multilevel Feature Fusion, The Seventh International Conference on Consumer Electronics Asia, SONO CALM, Yeosu, South Korea, 2022김성은
◾ 박은서, Ida Ayu Putu Ari Crisdayanti, 김성은, 모든 연령대의 디지털 청진음 기반 폐음 진단을 위한 딥러닝 기술 개발, 한국전기전자학회 하계학술대회 논문집, 제주대학교, 2022김성은
◾ 3, 머신러닝 알고리즘 기법을 이용한 뇌파 기반의 마취 후 회복실에서의 통증 분류 및 분석, 한국전기전자학회 하계학술대회, 제주대학교, 2022김성은
◾ 한혜림, 김연수, 김성은, 머신러닝 알고리즘 기법을 이용한 뇌파 기반의 마취 후 회복실에서의 통증 분류 및 분석, 하계학술대회 논문집, 제주대학교 아라컨벤션홀, 2022김성은
◾ 진창균, 김성은, Variational AutoEncoder 기반의 데이터 트랜드 분석을 사용한 센서 고장 탐지 및 예측 기법, 하계학술대회 논문집, 제주신화월드, 2022김성은
◾ Ida Ayu Putu Ari Crisdayanti, 남성우, 정성관, 이민영, 김성은, CNN-LSTM 네트워크 기반의 소아 호흡이상음 식별 기법, 하계종합학술발표회 논문집, 제주 그랜드하얏트호텔, 2022김성은
◾ 정지훈, 최수빈, 김성은, 화이트 밸런스 기술을 이용한 소변 검사 결과 영상 판독에 관한 연구, 동계종합학술발표회 논문집, 평창 알펜시아 리조트, 2022김성은
◾ 최예지, 김광일, 김예찬, 김성은, BCI 를 위한 동작 상상 뇌파 분류에 관한 연구, 동계종합학술발표회 논문집, 평창 알펜시아 리조트, 2022김성은
◾ 진창균, 김성은, Long Short Term Memory 기반의 심층신경망을 이용한 센서 고장 탐지 기법, 동계종합학술발표회 논문집, 평창 알펜시아 리조트, 2022김성은
◾ 송인경, 김연수, 이병두, 신원정, 김성은, Age-dependent electroencephalographic spectral patterns during midazolam-induced general anesthesia for congenital heart surgery in children, Neuroscience 2021, 온라인, 2021김성은
◾ 공경보, 이준기, 곽영철, 조영래, 김성은, 송우진, Mitigating Memorization in Sample Selection for Learning with Noisy Labels, International Conference for Machine Learning, 온라인, 2021김성은
◾ 김연수, 홍부휘, 조유민, 김성은, 뇌파의 주파수 밴드별 전력 변화를 기반으로 한 마취 심도 추정, 2021년 대하전자공학회 하계학술대회 논문집, 제주도, 2021김성은
◾ 곽영철, 송우진, 김성은, 딥러닝 기반의 뇌파 식별을 위한 데이터 증강법, 하계학술대회논문집, 제주도, 2021김성은
특허
◾ [Grant] E. N. Brown, S.-E. Kim, M. Behr, D. E. Ba, "Systems And Methods for Analyzing Electrophysiological Data from Patients Undergoing Medical Treatments," (US 10786168), Sep 29, 2020.
◾ [등록] 김성은, 김용, 안현기, 김응선, 홍현수, "디바이스 위치 결정 방법 및 장치," (대한민국 10-2085182), Feb 28, 2020.
◾ [출원] 김성은, "뇌 인지 부하 분류 시스템 및 방법," (대한민국 10-2019-0136685), Oct 30, 2019.
◾ [출원] 김성은, 김성무, 김종원, 김연수, 김제모, "사용자 인증 시스템 및 방법," (대한민국 10-2019-0038583), Apr 2, 2019.
◾ [등록] 김성은, 김용, 김응선, 안현기, 윤지현, "자기장 지도를 수정하는 방법, 자기장 지도를 수정하는 사용자 단말 및 서버," (대한민국 10-1960280), Mar 14, 2019.
◾ [등록] 김성은, 김용, 김응선, 안현기, "진북과 자북 간의 차이를 이용하여 사용자 단말의 위치를 추정하는 방법 및 그 사용자 단말," (대한민국 10-1957748), Mar 7, 2019.
◾ [등록] 윤지현, 김성은, 김용, 김응선, 안현기, "3차원 자기장 지도에 기초하여 생성된 입자 필터를 이용하여 위치를 추정하는 이동 단말 및 그 장치를 이용한 방법," (대한민국 10-1957750), Mar 7, 2019.
◾ [등록] 김성은, 김용, 김응선, 안현기, 윤지현, "사용자와의 인터랙션을 통해 사용자 단말의 초기 위치를 설정하는 방법 및 그 사용자 단말," (대한민국 10-1932590), Dec 19, 2018.
◾ [등록] 김성은, 김용, 김응선, 안현기, 윤지현, "건물의 도면 정보에 기초하여 자기장 지도를 생성하는 방법 및 장치," (대한민국 10-1923939), Nov 26, 2018.
◾ [Grant] S.-E. Kim, Y. Kim, E. S. Kim, H. Ahn, J. Yoon, “Terminal and Server for Modifying Magnetic Field and Method Thereof,” (US 9995564), Jun 12, 2018.
◾ [출원] 김성은, 김연수, 김성무, 김종원, 한명수, "피부 접촉으로 운전자를 인식할 수 있는 운전자 생체인증 시스템 및 방법," (대한민국 10-2018-0066900), Jun 11, 2018.
◾ [Grant] S.-E. Kim, Y. Kim, H. Ahn, E. S. Kim, “Method for Estimating Location of User Terminal Using Difference Between True North and Magnetic North and the User Terminal Thereof,” (US 9816817), Nov 14, 2017.
◾ [Grant] S.-E. Kim, Y. Kim, E. S. Kim, H. Ahn, J. Yoon, “Method and Apparatus for Creating Magnetic Field Map based on Floor Plan Information of Building,” (US 9709375), Jul 18, 2017.
◾ [Grant] S.-E. Kim, Y. Kim, E. S. Kim, H. Ahn, J. Yoon, “Method of Setting Initial Location of User Terminal via Interaction with User and User Terminal,” (US 9479901 B2), Oct 25, 2016. (continuation of US9137632)
◾ [등록] 김민규, 송우진, 김성은, 안주영, 이정환, “액정표시장치 및 그의 디밍 제어방법,” (대한민국 10-1644189), Jul 25, 2016.
◾ [Grant] H. Ahn, J. Yoon, S.-E. Kim, Y. Kim, E. S. Kim, “Mobile Device for Estimating Location using Particle Filter Generated based on Three-Dimensional (3D) Magnetic Field Map and Method Using Said Mobile Device,” (US 9310208 B2), Apr 12, 2016.
◾ [Grant] S.-E. Kim, Y. Kim, E. S. Kim, H. Ahn, J. Yoon, “Method of Setting Initial Location of User Terminal via Interaction with User and User Terminal,” (US 9137632 B2), Sep 15, 2015.
◾ [출원] 안현기, 공승현, 김성은, 김빈히, 김응선, 설상환, 홍현수, "위치 기반 서비스 제공 방법, 전자 장치, 서버 및 저장 매체," (대한민국 10-2016-0034138), Sep 19, 2014.
◾ [출원] 안현기, 김성은, 김용, 김응선, 홍현수, "위치 판단 방법 및 디바이스," (대한민국 10-2014-0023802), Feb 28, 2014.
◾ [출원] 김성은, 명현, 오택준, 김응선, 김형진, 박별터, 이동화, 정종대, 안현기, "정보 획득 방법 및 디바이스," (대한민국 10-2014-0017525), Feb 14, 2014.
◾ [출원] 김성은, 김용, 안현기, 김응선, 홍현수, “디바이스 위치 결정 방법 및 장치,” (대한민국 10-2013-0145455), Nov 27, 2013.
◾ [Application] Y. Kim, S.-E. Kim, E. S. Kim, H. Ahn, J. Yoon, “User Terminal and Method for Providing Service for Estimating Location based on Change in State on User Terminal,” (US 14/013782), Aug 29, 2013.
◾ [출원] 김용, 김성은, 김응선, 안현기, 윤지현, "사용자 단말의 상태 변화에 기초한 측위 서비스 제공 방법 및 그 사용자 단말," (대한민국 10-2012-0100283), Sep 11, 2012.
◾ [출원] 한윤기, 송우진, 김성은, 홍종주, “액정표시장치의 광분포 시뮬레이션 방법 및 이를 이용한 시뮬레이터,” (대한민국 10-2010-0111107), Nov 9, 2010.
◾ [출원] 이태욱, 송우진, 김성은, 안주영, 이정환, 홍종주, “액정표시장치 및 그 구동방법,” (대한민국 10-2009-0106580), Nov 5, 2009.
◾ 뇌 인지 부하 분류 시스템 및 방법, 특허 등록, 대한민국, 10-2292678, 2021김성은
◾ 딥러닝 기반의 뇌파 특징량 정규화 시스템 및 방법, 특허 등록, 대한민국, 10-2285546, 2021김성은
◾ 사용자 인증 시스템 및 방법, 특허 등록, 대한민국, 10-2215522, 2021김성은
◾ 자기장 지도를 수정하는 방법, 자기장 지도를 수정하는 사용자 단말 및 서버, 특허 등록, 대한민국, 10-1960280, 2019김성은
◾ 진북과 자북 간의 차이를 이용하여 사용자 단말의 위치를 추정하는 방법 및 그 사용자 단말, 특허 등록, 대한민국, 10-1957748, 2019김성은
◾ 3차원 자기장 지도에 기초하여 생성된 입자 필터를 이용하여 위치를 추정하는 이동 단말 및 그 장치를 이용한 방법, 특허 등록, 대한민국, 10-1957750, 2019김성은
◾ 사용자와의 인터랙션을 통해 사용자 단말의 초기 위치를 설정하는 방법 및 그 사용자 단말, 특허 등록, 대한민국, 10-1932590, 2018김성은
◾ 건물의 도면 정보에 기초하여 자기장 지도를 생성하는 방법 및 장치(METHOD AND APPARATUS FOR CREATING MAGNETIC FIELD MAP BASED ON FLOOR PLAN INFORMATION OF BUILDING), 특허 등록, 대한민국, 10-1923939, 2018김성은
연구프로젝트
◾ 2020M3C1B8081320 (Co-PI) NRF / MSIT (휴먼플러스융합연구개발사업)
Apr 1, 2020 - Dec 31 2024
Development of Convergence Platform for Brain Stimulation-EEG Response Analysis and Closed-loop Control
(뇌자극-뇌파 동조 분석 및 피드백 제어 융합 플랫폼 개발)
◾ 2020R1C1C1011857 (PI) NRF / MSIT (신진연구)
Mar 1, 2020 - Feb 28, 2023
Development of Highly Reliable Anesthesia Estimation System using Artificial Neural Networks based on Electroencephalogram
(뇌파 기반 인공신경망을 이용한 고신뢰 마취심도 추정 시스템 개발)
◾ 위탁연구 (PI) ETRI / MSIT [Completed]
May 15, 2020 – Nov 30, 2020
생체신호전송 기반 인증을 위한 생체 고유 채널 feature 탐색 연구
◾ 위탁연구 (PI) ETRI / MSIT [Completed]
Mar 1, 2019 - Nov 30, 2019
생체신호전송 응용 인증 기술 연구
◾ 2017-0-00451 (Co-PI) IITP (SW컴퓨팅산업원천기술개발사업) [Completed]
Jan 1, 2019 - Dec 31 2019
Development of BCI based Brain and Cognitive Computing Technology for Recognizing Users's Intentions using Deep Learning
(딥러닝을 이용하여 사람의 의도를 인지하는 BCI 기반 뇌인지컴퓨팅 기술 개발)
◾ 2018M3C1B8017549 (PI) NRF / MSIP (휴먼플러스융합연구개발사업 예비연구) [Completed]
Apr 1, 2018 - Nov 30, 2018
Development of Convergence Platform for Brain Stimulation-EEG Response Analysis and Closed-loop Control
(뇌자극-뇌파 동조 분석 및 피드백 제어 융합 플랫폼 개발)
◾ 2017R1C1B5017254 (PI) NRF / MSIP (생애 첫 연구) [Completed]
Mar 1, 2017 - Feb 29, 2020
EEG Analysis Algorithm for Quantification of Depth of Anesthesia and Closed-loop Anesthetics Delivery Systems
(마취 상태 정량화를 위한 뇌파 분석 기법 개발 및 마취제 자동 투여 장치 개발)
수상
◾ Two-phase multitask autoencoder 구조를 활용한 weakly supervised 학습 기반의 EEG 감정 인식 모델, 학술지 우수논문상, 한국전기전자학회, 2024김성은
◾ EEG 기반 감정인식을 위한 Attention-Temporal Convolution 구조의 성능 검증, 학술지 우수논문상, 한국전기전자학회, 2023김성은
◾ Differential effects of sevoflurane and desflurane on intraoperative electroencephalogram dynamics associated with postoperaive delirium, 포스터발표 최우수상, 한국인지과학회, 2023김성은
◾ 머신러닝 알고리즘 기법을 이용한 뇌파 기반의 마취 후 회복실에서의 통증 분류 및 분석, 학술대회 우순논문상, 한국전기전자학회, 2022김성은
◾ EEG-based Mental Workload Estimation using Encoder-Decoder Networks with Multilevel Feature Fusion, Best Paper Award Bronze Prize, The Seventh International Conference on Consumer Electronics (ICCE-Asia), 2022김성은
◾ Deep Feature Normalization using Rest State EEG Signals for Brain-Computer Interface, Best Paper Award Bronze Prize, The 20th International Conference on Electronics Information, and Communication (ICEIC 2021), 2021김성은
| 인공지능응용학과
교수소개
