JimmyLab

簡介

居米

從小就對寫程式很有興趣
當然也對很多東西很感興趣
像音樂、心理學、社會學、哲學、醫學、經濟學、平面設計等等

對背科完全不行，看一本輕小說要看一個月
但是圖像思考很強，聯想力也很強
小學的時候測智商比一般人高一些，因此進了國小資優班
很喜歡新東西、新挑戰，不喜歡重複且乏味的東西
做事有點三分鐘熱度，做很久的東西都是很多個三分鐘堆起來的

CV

Huang Chun-Ming (黃俊銘)

[email protected]
Dep. GeoScience, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan (10617)

Linkedin Research Gate Github Docker Hub

Education

  • 09/2022 – Present
    Structural Seismology Lab, National Taiwan University
    Doctoral Student in GeoScience
    Research Interest: Seismology, Geophysical Exploration, Software Engineering, Data Science
  • 09/2017 – 01/2020
    Structural Seismology Lab, National Central University
    Master of Science in Geophysics
    Thesis: An Automatic P Phase Picking Toolbox Using Deep Learning Method, https://hdl.handle.net/11296/72y6b8 
  • 09/2010 – 06/2015
    National Central University
    Bachelor of Science in Earth Science

Experience

  • 09/2022 – Present
    Reflection Seismic Research Group, National Taiwan University
    Taipei City, Taiwan
    IT Infrastructure Specialist (part-time)
  • 04/2023 – 12/2024
    Reflection Seismic Research Group, National Taiwan University
    Taipei City, Taiwan
    Research Assistant (full-time)
    • Developed and researched AI models for earthquake early warning systems and introduced project management methods for multiple academic projects.
    • Facilitated communication and integration between seismology and information engineering, mentored and trained researchers in data science, software engineering, and reflection seismic data processing, and maintained laboratory servers and websites.
    • Provided software development consultations to colleagues. 
  • 01/2021 – 03/2023
    Academia Sinica (Contract-based collaboration, based at National Taiwan University)
    Taipei City, Taiwan
    Contract-based Assistant (on-site at NTU)
    • Led a team of 5 in the development of earthquake-related deep learning applications, integrating seismology and software engineering.
    • Established a remote software development collaboration process to facilitate communication and project management.
    • Maintained laboratory servers and websites, created an internal online knowledge base, and assisted in processing reflection seismic data.
    • Assisted in designing the interior decoration of a new laboratory.
    • Executed a four-year project for the Center Weather Bureau and a project for the Industrial Technology Research Institute.
  • 01/2020 – 12/2020
    Reflection Seismic Research Group, National Central University
    Taoyuan City, Taiwan
    Research Assistant (full-time)
    • Developed deep learning models for seismological applications, including earthquake signal detection and location, by integrating domain knowledge with modern machine learning techniques.
    • Processed and interpreted reflection seismic data for subsurface structure analysis, including data preprocessing, velocity analysis, stacking and migration.
    • Conducted technical training for new lab members, covering topics such as seismic data processing workflows, deep learning implementation, and programming skills.
    • Maintained and optimized laboratory computing infrastructure, including network facilities and servers, ensuring system stability, security, and backup protocols.
  • 08/2019 – 11/2019
    Taiwan Ai Academy
    Taipei City, Taiwan
    Technical Professional Trainee
    • 16 weeks of training with both theory and practice, focus on statistics, machine learning and deep learning applications. Full of coding exercises and required a final project.
  • 07/2015 – 08/2017
    Reflection Seismic Research Group, National Central University
    Taoyuan City, Taiwan
    Research Assistant (full-time)
    • Led the research group for data processing; provided faculty researcher and/or supervisor ready access to all experimental data
    • Collected, processed and interpreted reflection seismic data after careful analysis and reflection based on reliable research findings
    • Attended area seminars and other meetings as necessary; participated in on-job-training and professional courses to enhance work skills
    • Implemented deep reflection imaging and demultiple methods; analyzed high resolution seismic in 2D and 3D data 
  • 07/2013 – 09/2013
    Taiwan Exploration & Development Research Institute, CPC Corporation, Taiwan
    Miaoli County, Taiwan
    Geophysics Intern (full-time) 
    • Trained in the interpretation of seismic data and practiced in stratigraphic restoration; interpreted 10 seismic 2D sections and drew formation contours

Publications

  • 2024
    Report- ” Artificial intelligence technology to establish next early warning system. Big data machine learning for on-site early warning research (IV)”, Central Weather Administration, 1-27
  • 2023
    Report- ” Artificial intelligence technology to establish next early warning system. Big data machine learning for on-site early warning research (III)”, Central Weather Bureau, 537-561
  • 2022
    Report- ” Artificial intelligence technology to establish next early warning system. Big data machine learning for on-site early warning research (II)”, Central Weather Bureau, 397-418
  • 2021
    Report- ” Artificial intelligence technology to establish next early warning system. Big data machine learning for on-site early warning research (I)”, Central Weather Bureau, 419-452
  • 2020
    Report- “Application of Multi-Attribute Machine Learning for Characterizing Carbonate Reservoir Properties”, Formosa Petrochemical Corporation and Energy Administration, 46-47, 55-59, 78-100
  • 2018
    Report- “Survey the Near Ground Deformation Included by Active Faulting“, Central Geological Survey, Ministry of Economic Affairs, 10-15, 54-58, 62-66, 93-97, 117-122
  • 2018
    Report- “Study of Near Surface Structure of Active Fault (4/4)”, Central Geological Survey, Ministry of Economic Affairs, 20-25, 39-45
  • 2017
    Report- “Study of Sedimentary Structure of Hoping River Alluvium Fan“, Industrial Technology Research Institute
  • 2017
    Report- “Study of Near Surface Structure of Active Fault (3/4)”, Central Geological Survey, Ministry of Economic Affairs, 15-20, 46-57
  • 2016
    Report- “Study of Near Surface Structure of Active Fault (2/4)”, Central Geological Survey, Ministry of Economic Affairs, 24-28, 49-51, 58-65
  • 2015
  • Report- “Study of Near Surface Structure of Active Fault (1/4)”, Central Geological Survey, Ministry of Economic Affairs, 31-40, 74-84, 115-126

Academic Events

  • 2024
    Oral – “SeisBlue AI Earthquake Data Processing Platform Development”, Taiwan Geosciences Assembly
  • 2024
    Oral – “Geothermal Exploration in Taiwan Using AI”, Taiwan International Geothermal Conference 2024
  • 2023
    Poster – “SeisBlue: a deep-learning data processing platform for seismology”, European Geosciences Union
  • 2019
    Poster – “An Automatic P Phase Picking Toolbox Using Deep Learning Method”, European Geosciences Union
  • 2018
    Oral – “Investigating Muchiliao Fault Zone Structures by Using High Resolution Shallow Seismic Reflection Survey”, Taiwan-Korea-Japan Joint Symposium on Survey and Evaluation Technologies of Underground Environment
  • 2016
    Oral – “Investigating the Structures of Ruisui Fault and Yuli Fault by Using High Resolution Shallow Seismic Reflection Survey”, Taiwan Geosciences Assembly

Projects

  • 01/2020 – Present
    SeisBlue     https://github.com/SeisBlue/SeisBlue
    • The SeisBlue AI earthquake monitoring system, which was independently developed, is based on the core concept of creating deep learning module for non-programmers. Following the Mw6.5 Guanshan foreshock and Mw6.9 ChiShong mainshock of the 918 earthquake in 2022, the SeisBlue AI system produced 1,223 aftershock sequence reports within just two days.
  • 03/2020 – 12/2024
    TT-SAM https://github.com/SeisBlue/TTSAM_Realtime
    • A project commissioned by the Central Weather Administration focuses on utilizing transformer model to enhance existing earthquake early warning methods. On the test dataset, using 4 seconds of P-wave data, the model achieved an accuracy of 90%. The real-time system is currently installed within the CWA for internal testing.
  • 10/2019 – 11/2019
    gg-music     https://github.com/gg-music/gg-music
    • CycleGAN timbre transfer and VGG16 music genre classification. Transform piano to guitar using CycleGAN and classify 6 music genres using VGG16 with accuracy over 0.85.

Honors and Awards

Extracurricular Activities

  • 09/2012-present
    Quake Band
    Drummer
    • Performed in numerous campus concerts, enterprise fairs, and cooperated in On Dance parties held by students
    • Self-organized concerts and performed outside of school in Taimall and at bars
  • 09/2013-06/2014
    NCU Guitar Club
    Percussionist
    • Competed in the Tsing Hua University “Tsing Melody Award” guitar competition
    • Self-learned jembe drums and instructed classes for Cajon (box drum)
  • 01/2011-06/2014
    NCU Wind Band
    Percussionist  
    • Led and instructed students from Sanduo Elementary School in the Wind Instrument Camp; participated in several national music competitions
  • 09/2010-06/2014
    NCU Chinese Music Club
    President, Percussionist
    • In charge of the 2012 North District 6 University Joint Traditional Chinese Music Camp
  • 12/2012-01/2014
    Genever Saxophone Ensemble – Gin
    Drummer  
    • Performed at the Information Engineering Concert and at cafes