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CV

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Sangbaek Lee

AI Researcher based on Biomedical data (biosignal and image). Acquire academic knowledge by conducting several Biomedical Engineering projects during the master's period. In addition, one year of intensive coding training to improve programming language skills, including Python. Capable of design, developing and analysis of project and service.

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I hope that my work improve Human life.

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Date of birth : 31.Jan.1994

E-mail : tlsqktem483@gmail.com

Contact detail : +82-10-2890-1458 (Korea)

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LinkedIn , GitHub

Skills

Artificial Intelligence & Data Science

Pytorch    Tensorflow   Numpy  Pandas   Matplotlib   Matlab 
Signal processing    Image processing  

Machine Learning    Deep Learning  

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Programming

Python    JavaScript    HTML    CSS    Vue.js    Django  

Work Experience

2020.10 - 2021.03

Unitria

  • Location : Seoul, Republic of Korea

  • Position : Biomedical Engineer

  • Job description

    • Acquisition and pre-processing of biomedical data.

    • Production and management of diagnostic programs.​

    • Build a convergence project of biomedical data and AI, 
      "Development of AI solutions for predicting and screening neurological diseases"

2016.09 - 2017.10

Korea Research Institute of Standards and Science (KRISS)

  • Location : Daejeon, Republic of Korea

  • Position : Undergraduate Researcher

  • Job description

    • Acquisition and pre-processing of Electroencephalogram (EEG) data that extracted from the subject of experiment.
    • Time Series Analysis of EEG data.

Education

2018.03 - 2020.02

Gwangju Institute of Science and Technology (GIST)

  • Master's degree : Department of Biomedical Science & Engineering

  • Lab : Bio-Medical Information & Signal (BMIS)

  • Location : Gwangju, Republic of Korea

2012.03 - 2018.02

Konyang University

  • Bachelor's degree : Department of Biomedical Engineering

  • Location : Daejeon, Republic of Korea

Training courses

2021.07 - 2022.06

Samsung Software Academy for Youth (SSAFY)

  • Host : Samsung​

  • Location : Daejeon, Republic of Korea​

  • Course description

    • 6 months of intensive coding training And 6 months of team project training.​

    • Completion of three-themed projects

2019.08.21 - 2019.08.24

Electroencephalogram (EEG) School 2019

  • Host : Korean Society of EEG and Neurophysiology​

  • Location : Daejeon, Republic of Korea​

  • Course description

    • EEG data pre-processing and time series, frequency analysis training.​

    • Event-related potential (ERP) analysis using Matlab.

Publications

Development of 3D-printed myoelectric hand orthosis for patients with spinal cord injury

  • Journal of NeuroEngineering and Rehabilitation volume 16, Article number: 162 (2019)

  • Published: 30 December 2019

Gesture Classification from Compressed EMG Based on Compressive Covariance Sensing

  • Published in: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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