Avatar of 劉宇捷.
劉宇捷
NTU Biomechatronics Engineering graduate 2024
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劉宇捷

NTU Biomechatronics Engineering graduate 2024
1. Applying for patents related to AI detection in oral cancer (In progress). 2. Published journal papers *2. 3. Publishing journal papers *1 (In progress). 4. Publishing conference papers *6. 5. Internship in the hospital to develop 2 projects. 6. Teaching assistant for deep learning in the summer course. 7. Teaching assistant for C programming courses. 8. Won gold*4, silver*1, and bronze*5 in national software and hardware development competitions. 9. First place in a university project presentation competition.
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Taichung Veterans General Hospital
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National Taiwan University
新北市, 台灣
Taiwan

Featured Resume

Uploaded on Aug 6th 2024

Professional Background

  • Current Status
    Unemployed
  • Profession
    Machine Learning Engineer
    Software Engineer
    Information Analyst
  • Fields
    Software
    Hardware
  • Work Experience
    Less than 1 year (Less than 1 year relevant)
  • Management
    None
  • Skills
    python
    C/C++
    Deep Learning
    machine learning
    TensorFlow/Keras/Pytorch
    object detection
    object segmentation
    image processing
    medical image
    Machine Vision
    Word
    Excel
    PowerPoint
  • Languages
    Chinese
    Native or Bilingual
    English
    Professional
  • Highest Level of Education
    Master

Job Search Preferences

  • Current Status
  • Desired Job Type
    Full-time
    Interested in working remotely
  • Desired Positions
    AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
  • Desired Work Locations
    New Taipei City, Taiwan
    Taoyuan City, Taiwan
    Taipei City, Taiwan
    Hsinchu City, Taiwan
    United States
  • Freelance

Work Experience

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Computer & Communication Center Intern

Jul 2020 - Sep 2020
3 mos
1.Intern facial recognition check-in and check-out management system Using Python's Tkinter on Raspberry Pi and hardware to build a system for recognizing interns' faces, enabling efficient attendance management for check-in and check-out purposes. 2.Automatic detection system for health insurance image review results Using Robotic Process Automation (RPA) technology to program a system to check daily health insurance images for completeness and return records of verification.

Education

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Master’s Degree
Biomedical/Medical Engineering
2022 - 2024
3.69/4.3 GPA
Activities and societies
1. Applying for patents related to AI detection in oral cancer (In progress). 2. Published journal papers *2. 3. Publishing journal papers *1 (In progress). 4. Publishing conference papers *6. 5. Internship in the hospital to develop 2 projects. 6. Teaching assistant for deep learning and programming courses. 7. Won gold*4, silver*1, and bronze*5 in software and hardware development competitions. 8. First place in a university project presentation competition.
Description
Master's Thesis: Title: Application of Deep Learning in Screening and Classification of Oral Lesions Abstract: Compare the effectiveness of deep learning models for multiple object segmentation and instance segmentation in screening oral cancer lesions, and add generative training to achieve better detection results. The study went a step further and was patented, proving the importance of the research. Journal Paper: 1. Yu Hsu, Cheng-Ying Chou, Yu-Cheng Huang, Yu-Chieh Liu, Yong-Long Lin, Zi-Ping Zhong, Jun-Kai Liao, Jun-Ching Lee, Hsin-Yu Chen, Jang-Jaer Lee, Shyh-Jye Chen, “Oral mucosal lesions triage via YOLOv7 models”, Journal of the Formosan Medical Association (J Formos Med Assoc.) 2024. 2. Chiun-Li Chin, Chun-Lung Chang, Yu-Chieh Liu, Yong-Long Lin, “Automatic Segmentation and Indicators Measurement of the Vocal Folds and Glottal in Laryngeal Endoscopy Images Using Mask R-CNN”, Biomedical Engineering: Applications, Basis and Communications (BME) 2021. Conference Paper: 1. Yu-Chieh Liu, Yong-Long Lin, Cheng-Ying Chou, Chiou-Shann Fuh, “Identification of Nail Lesions Based on Mask R-CNN Deep Learning Model”, The 35nd IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP) 2022. 2. Yu-Chieh Liu, Yong-Long Lin, Zi-Ping Zhong, Cheng-Ying Chou, “應用Mask R-CNN於口腔癌前病變檢測”, Conference on Biomechatronics and Agricultural Machinery Engineering (BIME) 2021. 3. Chiun-Li Chin, Yu-Chieh Liu, Yong-Long Lin, Ting-Ya Chang, Jyun-Ruei Lee, “Laryngoscopy Objects Indicators Analysis Based on Mask R-CNN”, International Forum on Medical Imaging in Asia (IFMIA) 2021. 4. Chen-Tsung Kuo, Cheng-Yu Fan, Chia-Shin Wei, Yu-Chieh Liu, Yu-Ruei Jhan, Chiun-Li Chin,"基於AIoT之智慧化人臉辨識簽到退系統, 2020中華民國第二十八屆模糊理論及其應用研討會 (Fuzzy) 2020. 5. Chiun-Li Chin, Yong-Long Lin, Yu-Chieh Liu, “Various Types Fracture Labeling in Bone Radiographs Using Modified AC-GAN”, 2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI). 6. Chiun-Li Chin, Yong-Long Lin, Yu-Chieh Liu, Chia-Shin Wei, Ming-Chen Hsu, “Dentition Labeling in Panoramic Radiographs Using Generative Adversarial Network”, The 32nd IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP) 2019. National Competition Award: Gold: 1. 第六屆中山新創獎 2. 2019 全國大專校院軟體創作競賽 3. 2018中山醫學大學全國大專院校創新、創意及創業競賽 4. 第二屆智慧聯網專題實作競賽 Sliver: 1. 第二屆創意應用競賽-資料創意樂桃桃 Bronze: 1. 2019 全國大專校院軟體創作競賽 2. 2019第24屆大專校院資訊應用服務創新競賽*2 3. 2019第十五屆全國電子設計創意競賽*2 Honorable Mention: 1. 第二屆創意應用競賽-資料創意樂桃桃 2. 2019全國大專校院智慧創新暨跨域整合創作競賽 3. 2019第24屆大專校院資訊應用服務創新競賽
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Bachelor’s Degree
Medical Informatics
2017 - 2021
3.85/4.3 GPA