Seong-Eun Kim, Ph.D.  (김성은)

 Assistant Professor

 Department of Applied Artificial Intelligence

 Seoul National University of Science and Technology (SeoulTech)

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 Office: Sangsang Hall (Bldg 53), Rm. 402

 Tel: +82-2-970-6450

 Email: sekim at seoultech.ac.kr

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Education

•  Pohang University of Science and Technology (POSTECH), Pohang, Korea

  • Ph.D., Electronics and Electrical Engineering (03/2004-08/2010)
        Advisor: Prof. Woo-Jin Song​

  • B.S., Electronics and Electrical Engineering (03/2000-02/2004)

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Professional Experiences

•  Assistant Professor (03/2017-02/2021)

  • Electronic Engineering, Hanbat National University, Daejeon, Korea

•  Postdoctoral Associate (01/2014-02/2017, PI: Prof. Emery Brown)

  • Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA

  • Brain and Cognitive Sciences, Massachusetts Institute of Technology (MIT), Cambridge, MA

  • Anesthesia, Critical Care and Pain Medicine, Mass General Hospital (Harvard Medical School), Boston, MA

• Research Staff Member (10/2011-01/2014)​

  • Samsung Advanced Institute of Technology, Samsung Electronics, Suwon, Korea​

• Postdoctoral Fellow (09/2010-09/2011)​

  • Educational Institute of Future Information Technology (BK), POSTECH, Pohang, Korea​

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Honors and Awards

• Best Paper Award, 2023 Annual Conference of Korean Society for Cognitive Science, Seoul, Korea (05/2023)

• Best Paper Award, IKEEE Summer Conference 2022, Seoul, Korea (12/2022)

• Best Paper Award, International Conference on Consumer Electronics Asia (ICCE-Asia), Yeosu, Korea (11/2022)

• Best Paper Award, International Conference on Electronics, Information, and Communication (ICEIC), Jeju, Korea (02/2021)

• The 2019 Best Research Award, Hanbat National University (02/2020)

• Best Paper Award, International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC), Sapporo, Japan (07/2012)

• Outstanding Poster Paper Award, International Display Workshops (IDW), Niigata, Japan (09/2008)

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Professional Activities

• Associate Editor 

  • Frontiers in Human Neuroscience

• Review Editor 

  • Frontiers in Neuroscience, MDPI Entropy 

• Ad-hoc Reviewer​

  • IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Circuits and Systems, IEEE Access, Signal Processing, Digital Signal Processing, Journal of SID, Cluster Computing, IET Signal Processing, MDPI Sensors, MDPI Applied Sciences, 한국통신학회지, 대한전자공학회지, etc.​

• TPC Member​

  • ITC-CSCC 2021 (6/2021)​

• Committee Member​

  • Sejong-si Information Committee (07/2017-06/2021)

• Senior Member

  • IEEE  (06/2023 - current)

• Secretary​

  • The Korean Society for Cognitive Science (01/2023 - 12/2024)​

  • The Institute of Korean Electrical and Electronics Engineers (01/2022 - 12/2022)​

• Board of Directors​

  • The Korean Society for Cognitive Science (01/2023 - current)​

  • The Institute of Korean Electrical and Electronics Engineers (01/2020 - current)

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Invited Talks

• 2023/4/7 KSCS Monthly Seminar

  • EEG Dynamics under Genenral Anesthesia​

• 2022/11/25 Electronics and Telecommunications Research Institute (ETRI)

  • ​Deep Learning for Brain-Computer Interface

• 2022/10/8 Masimo Korea User Meeting 2022

  • ​Spatiotemporal EEG Dynamics during General Anesthesia

• 2022/9/17 Annual Forum of Gangwon Section in the Korean Society of Anesthesiologists​

  • ​EEG Dynamics during General Anesthesia

• 2022/8/18 Dongguk University​

  • ​Deep Learning Techniques for EEG Decoding

• 2022/4/2 Annual Meeting of Korean Society of Neuroscience in Anesthesiology and Critical Care​

  • ​EEG: Basics and clinical application

• 2021/12/27 Dongguk University - Department of Multimedia Engineering

  • Deep Learning Techniques for Reliable Brain-Computer Interface Systems​

• 2021/12/8  Korea University - Colloquium (Department of Brain & Cognitive Engineering)

  • Deep Learning Approaches for Neural Decoding​

• 2021/2/23  Seoul National University of Science and Technology

  • AI for Brain Decoding​

• 2019/12/14  Masimo Korea User Meeting 2019

  • EEG Markers of Brain Development during General Anesthesia​

• 2019/12/6   Annual Symposium of Korean Society for EEG and Neurophysiology

  • EEG based Mental Workload Estimation using Deep Learning Techniques​

• 2019/11/1    KoreAnesthesia 2019

  • Age-dependent EEG Dynamics during Sevoflurane Anesthesia in Children Aged 0 to 3 Years​

• 2019/6/27   Summer Annual Conference of IEIE, 2019

  • EEG Dynamics Under General Anesthesia and Time-Frequency Analysis Algorithm​

• 2019/4/13   The Conference for the Korean Society of Pediatric Anesthesiologists

  • EEG Markers of Brain Development during General Anesthesia​

• 2018/10/29 Korea University - Colloquium (Department of Brain & Cognitive Engineering)

  • EEG Markers of Brain Development during General Anesthesia​

• 2018/3/15   Sogang University - Department of Electronic Engineering

  • EEG Dynamics under General Anesthesia and Time-Frequency Analysis Algorithm​

• 2018/2/8   Asan Medical Center - Biosignal Analysis & Perioperative Outcome Research Laboratory

• 2017/12/15  Artificial Intelligence Ethics Forum held by Hanbat National University

  • Brain-Computer Interface 기술 동향 및 윤리적 이슈​

• 2017/11/17  Korea University - Department of Brain & Cognitive Engineering

  • Research Projects at MIT​

• 2017/7/27  ETRI (Electronics and Telecommunications Research Institute

  • Technology Trend for Brain-Computer Interface ​

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