• Machine-Learning-based Scheduling and Vehicle Routing

• Material Handling with Autonomous Mobile Robots (AMRs)

Ph.D. in Industrial Engineering, Purdue University, West Lafayette, IN, USA, 2020

• Thesis: Scheduling and Control with Machine Learning in Manufacturing Systems (Advisor: Dr. Seokcheon Lee)

M.S. in Industrial Engineering, Seoul National University, Seoul, Korea, 2014

• Thesis: A hybrid algorithm for production scheduling under Make-to-Order environment: a case study from the transformer industry (Advisor: Dr. Jinwoo Park)

B.S. in Industrial Engineering, Seoul National University, Seoul, Korea, 2012

Journal Papers

1. Wang, D., Kerh, R., Jun, S., Lee, S., Mayega, R., Ssentongo, J., Oumer, A., Haque, M., Brunese, P. & Yih, Y. (2022). Demand sensing and digital tracking for maternal child health (MCH) in Uganda: a pilot study for ‘E+TRA Health’. BMC Medical Informatics and Decision Making, 22, 239.

2. Jun, S. & Lee, S. (2022). Evolutionary Neural Network for Learning of Scalable Heuristics for Pickup and Delivery Problems with Time Windows. Computers & Industrial Engineering, 169, 108282.

3. Jun, S., Choi, C., & Lee, S. (2022). Scheduling of autonomous mobile robots with conflict-free routes utilising contextual-bandit-based local search. International Journal of Production Research, 60(13), 4090-4116.

4. Jun, S. & Lee, S. (2021). Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction. International Journal of Production Research, 59(9), 2838-2856.

5. Jun, S., Lee, S., & Yih, Y. (2021). Pickup and delivery problem with recharging for material handling systems utilising autonomous mobile robots. European Journal of Operational Research, 289(3), 1153-1168. 

6. Jun, J. H., Chang, T. W., & Jun, S. (2020). Quality Prediction and Yield Improvement in Process Manufacturing Based on Data Analytics. Processes, 8(9), 1068. 

7. Jun, S., Lee, S., & Chun, H. (2019). Learning dispatching rules using random forest in flexible job shop scheduling problems. International Journal of Production Research, 57(10), 3290-3310.

8. Jun, S., Chang, T. W., & Yoon, H. J. (2018). Placing Visual Sensors Using Heuristic Algorithms for Bridge Surveillance. Applied Sciences, 8(1), 70.

9. Jun, S., Chang, T. W., Jeong, H., & Lee, S. (2017). Camera Placement in Smart Cities for Maximizing Weighted Coverage With Budget Limit. IEEE Sensors Journal, 17(23), 7694-7703.

10. Lee, J., Jun, S., Chang, T. W., & Park, J. (2017). A Smartness Assessment Framework for Smart Factories Using Analytic Network Process. Sustainability, 9(5), 794.

11. Jun, S., & Park, J. (2015). A hybrid genetic algorithm for the hybrid flow shop scheduling problem with nighttime work and simultaneous work constraints: A case study from the transformer industry. Expert Systems with Applications, 42(15-16), 6196-6204.

12. Jun, S., Lee, D., & Park, J. (2013). Determining business models in bottom-of-the-pyramid markets. Industrial Management & Data Systems, 113(7), 8-8.

Conference Proceedings

1. Jeong, H.Y., Song, B., Jun, S. & Lee, S. (2019). Movable Unmanned Aerial System: Optimization of System, Resource Design and Drone Routing. Proceedings of the 25th International Conference on Production Research. (First runner up for ICPR 2019 Best Paper)

2. Hwang, G., Han, S., Jun, S. & Park, J. (2014). Operational Performance Metrics in Manufacturing Process: Based on SCOR Model and RFID Technology. International Journal of Innovation, Management and Technology 5(1), 50-55.

3. Coulet, L., Jun, S. & Park, J. (2013). Development of a Strategic Model for Freight Transportation with a Case Study of the Far East. Advances in Production Management Systems 2013.

Working Papers

1. Jun, S. & Kang, K. Induction of Rules from Given Schedules for Identical Parallel Machine Scheduling. Manuscript submitted for publication.

2. Lee, C. & Jun, S. Feature Extraction with Genetic Programming for Root Cause Identification in Manufacturing with Interpretable Machine Learning. Manuscript submitted for publication.

3. Jun, S., Song, B. & Lee, S. Vehicle Routing Problem with Simultaneous Deliveries and Pickups with Cooperation of UAVs and Ground Vehicles for Humanitarian Operation. Manuscript submitted for publication.

Principal Investigator (PI)

Scheduling with Context-aware Reinforcement Learning Project, 2021.6-2022.5

• Reinforcement learning applications for scheduling

Basic Science Research Program, 2021.3-2024.2

• Interpretable machine learning applications for scheduling

Development of AI-Integrated End-to-End Reconfigurable GVC Collaboration System, 2022.4-2024.12

• Designing a robust value chain with simulation in automotive industry

Researcher

Development of Digital-twin-based Quality Management Collaboration Platform, 2023.4-2025.12

• Developing a classification algorithm for quality prediction of industrial vehicles

Development of Smart Factory Education Program, 2021.5-

• Designing scheduling and planning courses for practitioners in automotive industry

Research Assistant (RA)

Grand Challenges Explorations (Bill and Melinda Gates Foundation) Project, 2017.12-2018.12

• Developed a health-care management system in Uganda

Smartness Assessment for Small and Medium-sized Factories Project, 2016.2-2016.7

• Developed a framework for assessing smartness of small and medium-sized factories in Korea and a certification system for smart factory

Re-configurable Manufacturing Cell (RMC) Scheduling Project, 2012.9-2014.5

• Developed efficient scheduling algorithms for RMC and a simulator

Mid- and Long-term Production Planning for a Transformer Factory Project, 2013.3-2014.2

• Developed a scheduling algorithm for medium- and long-term production planning in an industrial transformer factory. 

Dongguk University

• Adventure Design (ISE2022)

• Production and Operations Management (ISE4002)

• Logistics (ISE4018)

• Information Systems and Integration (ISE4032)

• Engineering Economics (PRI4041)

• Introduction of Optimization (ISE7059)

• Non-linear Optimization (ISE7057)

• Special Topics on Big Data and Artificial Intelligence (FIB7029)

• IoT and Smart Service (FIB7015)

• Special Topics on Smart Factory (ISE7058)

• Global Capstone Design (21 Winter, 22 Summer, 23 Summer)

Purdue University - Teaching Assistant

• Integrated Production Systems II (IE484), Purdue University

• Systems Simulation (IE580), Purdue University

Seoul National University - Teaching Assistant

• Theory of Scheduling (406.653), Seoul National University

• Computer Integrated Manufacturing Systems (406.416), Seoul National University

• Work System Design (406.211), Seoul National University

International Conferences

1. Jun, S. (2021). Solving Pickup and Delivery Problems with Soft Time Windows for Autonomous Robots. INFORMS Annual Meeting 2021.

2. Jun, S. & Lee, S. (2019). Learning Dispatching Rules from Optimal Schedules for Single Machine Scheduling Problems. INFORMS Annual Meeting 2019.

3. Jun, S. & Lee, S. (2019). Learning dispatching rules using random forest in flexible job shops. IISE Annual Conference.

4. Jun, S. & Lee, S. (2018). Design of a production logistics model with UAVs and AGVs. DSI 2018 Conference.

5. Jun, S. & Lee, S. (2018). Mathematical models and constraint programming for flexible job shop scheduling problem. IISE Annual Conference.

Domestic Conferences

6. Jun, S. (2021). Interpretable Machine Learning Applications in Manufacturing. Society for e-Business Studies, Gangneung, Korea

7. Jun, S. (2021). Machine Learning Applications for Semiconductor Manufacturing. Korean Institute of Industrial Engineers, Jeju, Korea

8. Jun, S. (2020). Evolutionary Neural Network for Learning of Scalable Heuristics for Pickup and Delivery Problems with Time Windows. Korean Operations Research and Management Science Society, Seoul, Korea

9. Song, B. & Jun, S. (2019). Efficient cooperation of aerial and general vehicles for disaster management. Korean Society of Supply Chain Management, Seoul, Korea

Invited Talks

10. Jun, S. (2021). International lecture in engineering. Logistics for care systems in pandemic times - Applications of Interpretable Machine Learning. Universidad Nacional de Colombia, Bogotá, Columbia

• Summer Intern, VMS Global Inc., Manassas, VA, USA

Best Teaching Professor Award, Korean Society of Engineering Education, 2023

Best Teaching Professor, Dongguk University, 2022

Best Teaching Professor, Dongguk University, 2021

Global Good by Intellectual Ventures Award in Purdue Engineering I2D Exposition, Purdue University, 2018

First Runner Up Paper Award, ICPR 2019, Chicago, IL, 2019

Summer Research Grant, Purdue University, 2018, 2019, 2020

• Awarded as an outstanding PhD student who held Teaching Assistantships