Woo-Jin Shin, PhDKO

Education

• 2021.03 – 2026.02

  Ph.D. Industrial and Systems Engineering

  KAIST

  • Advisor: Prof. Hyun-Jung Kim
  • Dissertation: Optimization models and algorithms for multi-crane scheduling
  • Best Ph.D. Dissertation Award, College of Engineering, KAIST
• 2015.03 – 2020.08

  B.S. Industrial Engineering

  Pusan National University (PNU)

  • Graduated first in class
  • Military Service: Mar 2016 – Dec 2017

Experience

• 2026.09 – Present

  Assistant Professor

  School of Industrial and Systems Engineering, GNU
• 2026.03 – 2026.08

  Postdoctoral Researcher

  Institute of Industrial Management, KAIST
• 2020.09 – 2021.01

  Research Assistant

  The Institute of Intelligent Logistics Big Data, PNU

  • Supervisor: Prof. Soondo Hong

Honors & Awards

• 2026

  Top Reviewer

  Neural Information Processing Systems (NeurIPS)
• 2026

  Best Ph.D. Dissertation Award

  College of Engineering, KAIST
• 2025

  Grand Prize, Next-Generation Engineering Researcher Award

  Institute for the Promotion of Engineering and Science of Korea (IPESK)
• 2024

  Grand Prize, Poster Competition for Industrial/Social Problem Solving

  Department of Industrial and Systems Engineering, KAIST
• 2024

  Grand Prize, Advanced Manufacturing and Smartification Challenge

  AI Platform Center for Manufacturing at KAIST
• 2023

  1st Place Award, Simulation Challenge

  Winter Simulation Conference (WSC)
• 2023

  Excellent Prize, Master's Thesis Competition

  Korean Institute of Industrial Engineers (KIIE)

Teaching

School of Industrial and Systems Engineering, GNU

• Fall 2026

  Management Information Systems
• Fall 2026

  Quality Big Data Analytics

Department of Industrial and Systems Engineering, KAIST

• Spring 2023, Spring 2025

  Scheduling: Theory and Applications

  Guest Lecturer
• Fall 2024

  Production Management

  Guest Lecturer
• Fall 2023

  Production Management

  Teaching Assistant
• Fall 2022

  Manufacturing & Artificial Intelligence

  Teaching Assistant

Invited Talks & Seminars

• 2026.06

  AI-Driven Scheduling and Optimization: Research Progress and Future Directions

  Digital Transformation Workshop, Kumoh National Institute of Technology · South Korea
• 2025.06

  Learning to Retrieve Containers: A Multi-Task Deep Reinforcement Learning Approach

  KTH–KAIST Research Collaboration Seminar, KTH Royal Institute of Technology · Sweden
• 2025.05

  Multi-Crane Scheduling: Steelmaking Shop & Coil Warehouses

  Research Seminar with TU Berlin, KAIST · South Korea

Reviewer Service

Journal

• Production and Operations Management
• IEEE Transactions on Automation Science and Engineering
• Computers & Operations Research
• Simulation Modelling Practice and Theory
• Flexible Services and Manufacturing Journal
• European Journal of Industrial Engineering
• Frontiers in Robotics and AI
• npj Advanced Manufacturing
• Applied Operations and Analytics

Conference

• IEEE International Conference on Automation Science and Engineering (IEEE CASE), 2026
• Neural Information Processing Systems (NeurIPS), 2026