Education

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

Ph.D. Candidate in Mechanical Engineering (Adviser: Prof. Seungchul Lee)

[ 2022. 08 - 2024.05]

Ph.D. Candidate in Mechanical Engineering (Adviser: Prof. Jinah Jang)

[ 2024. 06 - present]

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

B.S. in Mechanical Engineering      

[ 2018. 03 - 2022. 08 ]

Journal

• Sebin Lee, Taewan Kim, Seungchul Lee*, and Sung-Ho Hong*, 2023, "Novel Method of Measuring Wear using Deep Learning," Tribology International, https://doi.org/10.1016/j.triboint.2023.109043.

Conference

• Sebin Lee, Seungchul Lee, Sung-Ho Hong, “Evaluation of wear volume based on measurement of wear scars using deep learning", 2024 KTS, 2024. 04. 18

• Sebin Lee, Taewan Kim, Seungchul Lee, Sung-Ho Hong, “Method for Measuring of a Wear Scar Based on Deep Learning", 2023 KTS, 2023. 10. 18

• Sebin Lee, Jongmok Lee, Seungchul Lee, “Recognizing Coordinates for Organ Module using Segmentation", 2023 KSME, 2023. 02. 23

Experiences

• Teaching Assistant

  1. • MECH203: CAD and Manufacturing, POSTECH [ 2023. 02 - 2023. 06 ]

     • MECH199: Freshman Research Participation, POSTECH [ 2022. 09 - 2023. 06 ]

     • Hyundai-Steel AI Program [ 2022. 10 ]

• Startup Experiencee

  1. • POWER-ON Corp. [ 2021.03 - 2022.04 ]
       Incubating business using network of POSTECH robotics club 'POWER-ON'

     • VIOSK (Korean I-Corps) [ 2021. 03 - 2022. 02 ]
       Computer vision based user-customized kiosk service

Projects

• Development of 3D bioreactor in situ realizing formation of uniform cell aggregation/proliferation/differentiation using permeable membrane scaf fold and flow through thereof
  [ 2023. 04 - Present ]

• Development of Meta Soft Organ Module Manufacturing Technology without Immunity Rejection and Module Assembly Robot System
  [ 2022. 09 - 2023. 08 ]

Honors and Awards

• Best Paper Award , Korean Tribology Society (KTS) Conference 2024

• Outstanding Paper Award , Korean Tribology Society (KTS) Conference 2023

Patent

• 딥러닝을 이용한 볼의 마모량 측정 방법 - 이승철/홍성호/김태완/이세빈, 대한민국, 2023년 5월 9일 출원, 10-2023-0059936