CV

Education

• Ph.D. in Industrial and Management Engineering, POSTECH (Pohang University of Science and Technology), 2020-2025
  • Thesis: Multilevel Optimization for Precision Medicine: A Boolean Network Control Approach
  • Advisor: Prof. Kangbok Lee
• M.S. in Industrial and Management Engineering, POSTECH (Pohang University of Science and Technology), 2018-2020
  • Thesis: Strategic Location Problem for Last-mile Delivery with Relaying Drones
  • Advisor: Prof. Kangbok Lee
• B.S. in Industrial and Management Engineering, POSTECH (Pohang University of Science and Technology), 2015-2018

Work experience ======

• Postdoctoral Researcher, Department of Industrial and Management Engineering ; POSTECH (Pohang University of Science and Technology), Pohang, Korea (Aug 2025 – present)
  • Advisor: Prof. Kangbok Lee

• Lecturer, Department of Industrial and Management Engineering ; POSTECH (Pohang University of Science and Technology), Pohang, Korea (Aug 2025 – present)

• Visiting Research Fellow, Department of Industrial Engineering ; Swanson School of Engineering at University of Pittsburgh, Pittsburgh, PA, USA (Dec 2025 – Jan 2026)
  • Host: Prof. Bo Zeng
• Visiting Predoctoral Fellow, Modèles & Technologies pour la Vérification Team ; Laboratoire Bordelais de Recherche en Informatique (LaBRI) at U. of Bordeaux, Talence, France (Jun & Nov 2024, Sep 2025)
  • Host: Dr. Loïc Paulevé
• Visiting Predoctoral Fellow, Department of Technology, Operations, and Statistics ; Stern School of Business, New York University, New York, NY, USA (Jan 2024)
  • Host: Prof. Michael L. Pinedo
• Visiting Predoctoral Fellow, Operations Department ; Kellogg School of Management, Northwestern University, Evanston, IL, USA (Jul – Aug 2017)
  • Host: Prof. Sunil Chopra
• Internship, Administration Headquarters, PMGROW Corp., Uiwang, Korea (Jul – Aug 2016)

Skills

• Language: English (fluent), Korean (native)
• Programming: Python, Java, C, C++, R, SQL, MariaDB, Qt
• Optimization tools: Gurobi, CPLEX, Google OR-Tools, Pyomo, CVX, SCIP, CP Optimizer, Fujitsu DA
• DevOps: Git, GitHub, Docker
• OA & RPA: MS 365, LaTeX, Beamer, TikZ, Markdown, MS Power Automate, Graphviz

Publications

Journal Articles

1. Dongyun Kim, Yeonjun Choi, Kyungduk Moon, Myungho Lee, Kangbok Lee^*, & Michael Pinedo (2026). Iterated Greedy Algorithm with Constraint Programming for Scheduling Steelmaking-Continuous Casting Process. European Journal of Operational Research, 331(3), 706–718. doi: 10.1016/j.ejor.2025.11.023
   • The previous version accepted at CPAIOR 2023 Conference
2. Kyungduk Moon^*, Kangbok Lee, & Loïc Paulevé (2024). Computational Complexity of Minimal Trap Spaces in Boolean Networks. SIAM Journal on Discrete Mathematics, 38(4), 2691–2708. doi: 10.1137/23M1553248
3. Myungho Lee, Kyungduk Moon, Kangbok Lee^*, Juntaek Hong, & Michael Pinedo (2024). A Critical Review of Planning and Scheduling in Steel-Making and Continuous Casting in the Steel Industry. Journal of the Operational Research Society, 75(8), 1421–1455. doi: 10.1080/01605682.2023.2265416
4. Kyungduk Moon, Kangbok Lee^*, Sunil Chopra, & Steve Kwon (2022). Bilevel Integer Programming on a Boolean Network for Discovering Critical Genetic Alterations in Cancer Development and Therapy. European Journal of Operational Research, 300(2), 743–754. doi: 10.1016/j.ejor.2021.10.019
5. Juntaek Hong, Kyungduk Moon, Kangbok Lee^*, Kwansoo Lee, & Michael L. Pinedo (2022). An Iterated Greedy Matheuristic for Scheduling in Steelmaking-Continuous Casting Process. International Journal of Production Research, 60(2), 623–643. doi: 10.1080/00207543.2021.1975839

Conference Proceedings

1. Dongyun Kim, Yeonjun Choi, Kyungduk Moon, Myungho Lee, Kangbok Lee^*, & Michael L. Pinedo (2023). Iterated Greedy Constraint Programming for Scheduling Steelmaking Continuous Casting. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research, pp. 477–492, Springer Nature Switzerland. doi: 10.1007/978-3-031-33271-5_31
2. Kyungduk Moon, Myungho Lee, & Kangbok Lee^* (2022). Rescheduling Problem for Heavy Cargo Logistics with Transporters. In Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, pp. 485–493, Springer Nature Switzerland. doi: 10.1007/978-3-031-16407-1_57
3. Juntaek Hong, Kwansoo Lee, Kangbok Lee^*, & Kyungduk Moon (2021). An Iterated Greedy Matheuristic for Scheduling in Steelmaking-Continuous Casting Process. In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, pp. 62–72, Springer International Publishing. doi: 10.1007/978-3-030-85874-2_7
4. Kyungduk Moon, Sunil Chopra, Seokwon Kim, & Kangbok Lee^* (2019). Strategic Location Problem for Synchronized Last-Mile Delivery with Relaying Drones. In SIG Meeting of 2019 Manufacturing & Service Operations Management International Conference.

Working Papers

1. Kyungduk Moon, Kangbok Lee^*, & Loïc Paulevé (2026). A Bilevel Integer Programming Approach for the Synchronous Attractor Control Problem. doi: 10.48550/arXiv.2604.01018
2. Célia Biane, Kyungduk Moon^*, Kangbok Lee, & Loïc Paulevé (2026). Why Boolean Network Control Tools Disagree: A Taxonomy of Control Problems. bioRxiv doi: 10.64898/2026.03.01.703722
3. Kyungduk Moon, Sunil Chopra, & Kangbok Lee^*. Strategic Location Problem for Synchronized Last-mile Delivery with Relaying Drones.
   • The previous version accepted at MSOM 2019 Conference–Supply Chain Management SIG track
4. Kyungduk Moon, Juntaek Hong, Kangbok Lee^*, Haju Jang, & Sunil Chopra. The Role of Private Vehicles in the Cost-Robust Crowdsourced Last-Mile Delivery of Online Retailers.

Patents

1. Kangbok Lee, Kyungduk Moon, Myungho Lee, & POSTECH Research and Business Development Foundation. SCHEDULING SYSTEM AND METHOD OF NEAR COAST LOGISTICS, 2025. (Korean Patent No. 10-2837780)

Talks

Conference Presentations (International)

• INFORMS 2025, Atlanta, GA, USA (Oct 26 – 29)
  2025 INFORMS Annual Meeting
  • A Taxonomy of Control Problems in Boolean Networks*
  • The Approximation Ratio of the MULTIFIT Algorithm: A Computer-Assisted Proof (Poster)
• INFORMS 2024, Seattle, WA, USA (Oct 20 – 23)
  2024 INFORMS Annual Meeting
  • Proving an Approximation Ratio by Mathematical Programming
  • Minimizing the Stay Time of Open Shop Scheduling Problems with the Unit Processing Time
• INFORMS 2023, Phoenix, AZ, USA (Oct 15 – 18)
  2023 INFORMS Annual Meeting
  • Minimizing Makespan for Job Shop Scheduling Problem Using Deep Learning Model Employing Critical Paths of Schedules for Large Neighborhood Search
  • Improved Iterated Greedy Constraint Programming for Scheduling Steelmaking Continuous Casting
  • Analysis of Combining LPT and Multifit Algorithms for Identical Parallel Machine Scheduling to Minimize the Makespan
• CPAIOR 2023, Nice, France (May 29 – Jun 1)
  The 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
  • Iterated Greedy Constraint Programming for Scheduling Steelmaking Continuous Casting
• APMS 2022, Gyeongju, Korea (Sep 25 – 29)
  2022 Advances in Production Management Systems
  • Rescheduling Problem for Heavy Cargo Logistics with Transporters*
• CMSB 2022, Bucharest, Romania (Sep 14 – 16)
  20th International Conference on Computational Methods in Systems Biology
  • Bilevel Integer Programming Approach for Solving Control Problems on Boolean Networks*
  • Computational Complexity of Trap Spaces in Boolean Networks (Poster)*
• APMS 2021 (Online), Nantes, France (Sep 5 – 9)
  2021 Advances in Production Management Systems
  • An Iterated Greedy Matheuristic for Scheduling in Steelmaking-Continuous Casting Process
• IFORS 2021 (Online), Seoul, Korea (Aug 23 – 27)
  22nd Conference of the International Federation of Operational Research Societies
  • Strategic Location Problem for Synchronized Last-mile Delivery with Relaying Drones*
  • Workforce planning with crowdsourced logistics under regulations
• INFORMS 2019, Seattle, WA, USA (Oct 20 – 23)
  2019 INFORMS Annual Meeting
  • Strategic Location Problem for Synchronized Last-mile Delivery with Relaying Drones*
  • Development of Scheduling Algorithms for Crowdsourced Delivery Persons
• MSOM 2019 – SCM SIG, Singapore (Jun 30 – Jul 2)
  2019 MSOM International Conference – Supply Chain Management SIG track
  • Strategic Location Problem for Synchronized Last-mile Delivery with Relaying Drones*

Conference Presentations (Domestic)

• KIIE 2025 Fall, Daejeon, Korea (Nov 6 – 7)
  2025 Fall Conference of Korean Institute of Industrial Engineers
  • A Taxonomy of Control Problems in Boolean Networks*
• KIIE 2024 Fall, Seoul, Korea (Oct 24 – 25)
  2024 Fall Conference of Korean Institute of Industrial Engineers
  • Reprogramming cell fate: A survey of control problems in Boolean networks*
• KORMS & KIIE 2024 Spring, Yeosu, Korea (May 2 – 4)
  2024 Spring Joint Conference of Korean Operations Research and Management Science Society & Korean Institute of Industrial Engineers
  • Proving an Approximation Ratio by Mathematical Programming
  • Minimizing the Stay Time of Open Shop Scheduling Problems with the Unit Processing Time
• KIIE 2023 Fall, Ulsan, Korea (Nov 2 – 3)
  2023 Fall Conference of Korean Institute of Industrial Engineers
  • A Bilevel Integer Programming Approach for the Synchronous Attractor Control Problem*
  • A Constraint Programming based Iterated Greedy Framework for Scheduling Steelmaking Continuous Casting Process
  • Minimizing the Makespan of a Job Shop Schedule Considering Critical Paths by Deep Reinforcement Learning Based Large Neighborhood Search
• KIIE & KORMS 2023 Spring, Jeju, Korea (May 31 – Jun 3)
  2023 Spring Joint Conference of Korean Institute of Industrial Engineers & Korean Operations Research and Management Science Society
  • Robust fleet management in crowdsourced last-mile delivery of online retailers: the role of a mix with private vehicles*
  • Computational complexity of minimal trap spaces in Boolean networks (Poster)*
  • Analysis of Combining LPT and MULTIFIT Algorithms for Identical Parallel Machine Scheduling to Minimize the Makespan (Poster)
  • A critical review of planning and scheduling in steel-making and continuous casting processes in the steel industry
• KIIE 2022 Fall, Incheon, Korea (Nov 4 – 5)
  2022 Fall Conference of Korean Institute of Industrial Engineers
  • Bilevel Integer Programming Approach for Solving Control Problems on Boolean Networks*

Seminar & Research Talks

• Research talk at UNIST IE, Ulsan, Korea (Oct 24, 2025)
  Department of Industrial Engineering, UNIST
  • Multilevel Optimization for Boolean Network Control in Precision Medicine*
• Research talk at SKKU Business School, Seoul, Korea (Jun 18, 2025)
  SKKU Business School, Sungkyunkwan University
  • Bilevel integer programming on a Boolean network for discovering critical genetic alterations in cancer development and therapy*
• Research talk at KHU IMSE, Yongin, Korea (May 16, 2025)
  Department of Industrial and Management Systems Engineering, Kyung Hee University
  • Bilevel optimization: From practices to theory*

Teaching

Lecturer

• (G) AI for Discrete Optimization

Teaching Assistant

• (U) Production & Operations Management
• (G) Network Flows