Assistant Professor
Business Administration Dept., Tech University of Korea

성신웅 교수는 삼성전자 생산기술연구소에서 7년간 수행한 디지털트윈, 제조 최적화, 물류 자동화 분야의 현장 경험과, 산업공학 전공자로서 쌓아온 연구 역량을 바탕으로 MOOS Lab에서 현장 친화적이고 실용적인 산학 중심의 응용 연구를 이끌고 있습니다.

EDUCATION
KAIST – Korea Advanced Institute of Science and Technology

• Ph.D. in Industrial & Systems Engineering (2018)

• M.S. in Industrial & Systems Engineering (2014)

• B.S. in Industrial & Systems Engineering (2012)

INDUSTRY EXPERIENCE
Samsung Electronics, Staff Engineer, Sep 2018 – Aug 2025

• Digital Twin Group, Manufacturing Innovation Team (2023 – 2025)

  • Led development of automated process design through optimization of resource placement, sequencing, and quantity decisions based on Bill of Process (BOP)

  • Built optimization algorithms for production planning and optimal workforce estimation

  • Built task allocation algorithms through simulation-driven optimization methods

  • Maintained and enhanced in-house simulation tools for process analysis and line balancing

• Manufacturing Logistics Solutions Group, Smart Factory Team (2019 – 2023)

  • Designed and operated Material Control System (MCS)

  • Maintained and enhanced AGV Control System (ACS)

  • Designed material placement optimization algorithm

  • Developed ML-based subcontractor supply forecasting algorithm

  • Conducted optimal capacity analysis across global subsidiaries

• Advanced Development Group, Automation Technology Team (2018 – 2019)

  • Developed deep learning–based defect inspection models

  • Built task sequencing optimization algorithms for robotic material loading and unloading in assembly lines