Pandamon

A herbivore of AI and SW dev, with majoring Mechanical Engieering.

About Pandamon

3 minute read

Hi! This is Pandamon, living in South Korea.

I am studying and working on AI based Data Science and SW Development. I majoring in machine learning from theory to practical usages, especially on PHM(Prognostics and Health Management) related with rotating mechinery systems and human cardiovascular system.

Welcome to my blog, and thanks for having an interest on me :)

Educations
  • Ph.D Candidate / Mechanical and Aerospace Engineering, College of Engineering

    September, 2020 – Present
    Seoul National University, Seoul, Republic of Korea
    Adviser: Dr. Byeng Dong Youn

  • Ph.D Student / Mechanical and Aerospace Engineering, College of Engineering

    March, 2017 – August, 2020
    Seoul National University, Seoul, Republic of Korea
    Adviser: Dr. Byeng Dong Youn

  • Bachelor of Science (B.S.) / Mechanical and Aerospace Engineering, College of Engineering

    March, 2012 - February, 2017
    Seoul National University, Seoul, Republic of Korea

  • Bachelor of Science (B.S.) / Philosophy, College of Humanities

    March, 2013 - February, 2017
    Seoul National University, Seoul, Republic of Korea

Work Experiences
  • Data Scientist (Professional): Inc. OnePredict

    December, 2020 – Present
    OnePredict, Seoul, Republic of Korea

  • Visiting Researcher: Data Mining and Machine Learning (DMML) Group

    March, 2019 – February, 2020
    Haute école spécialisée de Suisse occidentale, Geneva, Switzerland
    Head of Group: Dr. Alexandros Kalousis

  • Research Assistant: Integrated Design & Analysis Laboratory for Multi-Physics Systems (IDEALab)

    September, 2014 – January, 2016
    Seoul National University, Seoul, Republic of Korea
    Head of Lab: Dr. Yoon Young Kim

  • Incorporation Internship: Doosan Heavy Industry

    August 2014 - September 2014

Researches
  • Research Papers as a first author

    [RP1] “Detection and Severity Assessment of Peripheral Occlusive Artery Disease via Deep Learning Analysis of Arterial Pulse Waveforms: Proof-of-Concept and Potential Challenges”, Frontiers in Bioengineering and Biotechnology, 2020, (IF: 4.210) - published
    [RP2] “Deep Learning-Based Diagnosis of Peripheral Occlusive Artery Disease via Continuous Domain-Adversarial Regularization: Preliminary In Silico Study”, Artificial Intelligence in Medicine, 2021, (IF: 4.470) - under review
    [RP3] “Fault Severity Estimation of Planetary Gearbox with Sparse Vibration Dataset via Deep Generative Model Conditioned by Mutual Information”, IEEE Transactions on Industrial Informatics, 2021 (IF: 9.112) - under review

  • International Conferences as a first author

    [ICP1] “Expectation-Maximization Method for Data-Based Estimation to the Cantilever Beam End-to-End Problem”, 2018 AIAA Non-Deterministic Approaches Conference, Kissimmee, Florida, USA, January 8-12, 2018
    [ICP2] “Diagnosis of Fault Severity Level on Planetary Gearbox with Sparse Vibration Dataset by Generating Virtual Signal”, ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Anaheim, USA, Aug 18-21, 2019

  • Domestic Conferences as a first author

    [DCP1] “Inverse Physics Interpretation from Data-driven to Physics-based Method”, Proceedings of the Korean Society of Mechanical Engineers (KSME) CAE & Applied Mechanics Conference, Yeosu, Korea, April 26-28, 2018
    [DCP2] “Power Transformation System Fault Diagnosis & CPS Construction integrating Physics Knowledge and Big Data”, Proceedings of the Korean Institude of Electrical Engineers Spring Conference, Gacheon, Korea, April 6-7, 2018
    [DCP3] “Analysis of Effect on Resolution of Vibration Data Acquisition System used in AI based Fault Diagnosis Algorithm for Planetary Gearbox”, Proceedings of the KSNVE Annual Autumn Conference 2018, Yeosu, Korea, Oct 17-19, 2018
    [DCP4] “Fault Diagnosis of Planetary Gearbox under Various Load Condition Based on Vibration Signal Using Convolutional Neural Network”, Proceedings of the KSME Annual Conference 2019, Gangwon, Korea, Dec 12-14, 2018
    [DCP5] “Detecting Occurrence of Partial Discharge on Gas Insulated Switchgear based on PRPS Data using Open-Set CNN Algorithm”, Proceedings of the KSME Annual Conference 2019, Gangwon, Korea, Dec 12-14, 2018
    [DCP6] “Style Transfer Based Virtual Data Generation for Fault Diagnosis of Planetary Gearbox,” PHM Korea 2019, Seoul, Republic of Korea, April 10-12, 2019
    [DCP7] “Fault diagnosis of planetary gearbox robust on operating condition based on virtual data generation method,” Proceedings of the KSME Conference 2019, Jeju, Korea, Nov 13-16, 2019

Patents and Awards
  • Patents

    [P1] “FAULT DIAGNOSIS METHOD OF TRANSFORMER”, Korea, 2018, (AN: 10-2018-0119205, RN:10-2128460)
    [P2] “APPARATUS AND METHOD FOR DETECTING DATA NEEDS LABEL UPDATE”, Korea, 2019, (AN: 10-2019-0035767)
    [P3] “APPARATUS AND METHOD FOR PREPROCESSING DATA”, Korea, 2019, (AN: 10-2019-0113261)
    [P4] “System and Method for monitoring partial discharge using sensor data”, Korea, 2020 (AN: 1020200118344)
    [P5] “Method for failure detection of GIS(gas insulated switchgear) and apparatus for performing the same”, Korea, 2021, (AN: 10-2020-0170294)

  • Awards

    [A1] “2nd Place Winner, PHM Data Challenge”, Asia Pacific Conference of the Prognostics and Health Management Society, 2017
    [A2] “3rd Place Winner PHM Data Challenge”, Annual Conference of the Prognostics and Health Management Society, 2017
    [A3] “Outstanding Presentation Award”, International Conference on Energy and Sustainability, 2018

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