Education

Bachelor of Industrial Management Engineering

Inha University, Incheon, Republic of Korea

July 2016

Master of Science in Industrial Management Engineering

Purdue University, West Lafayette, IN, United States

May 2018

Ph.D. in Industrial Management Engineering

Purdue University, West Lafayette, IN, United States

May 2022

Experience

Software developer, Research assistance

Navy Crane Center, IN, United States

Jan 2018 - October 2023

Research Professor

Sogang University, Department of Mechanical Engineering, Seoul, Republic of Korea

April 2022 - October 2023

Postdoctoral Researcher

Korea University, Research Institute of Engineering and Technology, Seoul, Republic of Korea

2023 - Present

Journal Papers

J1. Jeong, H.Y., and Song, B.D., 2025. "Optimization of Urban Logistics with Multi-Modal Systems: A Comprehensive Study of the Airship-Vehicle Routing Problem." Transportation Research Part E: Logistics and Transportation Review, 204, p.104415. (SCIE, JCR 1.4%)
J2. Jeong, H.Y., and Song, B.D., 2025. "Meta-Learning-Based Adaptive Operator Selection for Traveling Salesman Problem." Applied Soft Computing, p.113930. (SCIE, JCR 9.1%)
J3. Jeong, H.Y., and Song, B.D., 2025. "Optimizing Urban Logistics: Vehicle Routing Problem with Underground Transportation." IEEE Transactions on Intelligent Transportation Systems.
J4. Kim, Y., Jeong, H.Y.*, and Lee, S., 2024. "Drone delivery problem with multi-flight level: Machine learning based solution approach." Computers & Industrial Engineering, 197, p.110565.
J5. Guo, F., Jeong, H.Y., Park, D., Kim, G., Sung, B., and Kim, N., 2024. "Numerical optimization of variable blank holder force trajectories in stamping process for multi-defect reduction." Materials, 17(11), p.2578.
J6. Guo, F., Jeong, H.Y., Park, D., Sung, B., and Kim, N.*, 2024. "Numerical multi-objective optimization of segmented and variable blank holder force trajectories in deep drawing based on DNN-GA-MCS strategy." The International Journal of Advanced Manufacturing Technology, pp.1–24.
J7. Kim, Y., Jeong, H.Y., Park, J., Kim, K., Kwon, H., Ju, G., and Kim, N., 2023. "Optimizing process parameters for hot forging of Ti-6242 alloy: A machine learning and FEM simulation approach." Journal of Materials Research and Technology, 27, pp.8228–8243.
J8. Kim, B., Jeong, H.Y.*, and Lee, S., 2023. "Two-echelon collaborative routing problem with heterogeneous crowd-shippers." Computers & Operations Research, 160, p.106389.
J9. Jeong, H.Y., and Choi, C.*, 2023. "Adaptive supply chain system design for fruit crops under climate change." Systems, 11(10), p.514.
J10. Jeong, H.Y., and Lee, S.*, 2023. "Drone routing problem with truck: Optimization and quantitative analysis." Expert Systems with Applications, 227, p.120260.
J11. Park, J., Kim, Y., Jeong, H.Y., Kwon, H., Kwon, Y., and Kim, N.*, 2023. "Cogging process design of M50 bearing steel for billet quality." Journal of Materials Research and Technology, 26, pp.5576–5593.
J12. Jeong, H.Y.*, Kim, Y., Lee, S., Moreland, J., and Zhou, C., 2023. "Disruption propagation and repair response in interdependent systems: Network model and simulation approach." Simulation Modelling Practice and Theory, 124, p.102730.
J13. Jeong, H.Y., Park, J., Kim, Y., Shin, S.Y., and Kim, N.*, 2023. "Processing parameters optimization in hot forging of AISI 4340 steel using instability map and reinforcement learning." Journal of Materials Research and Technology, 23, pp.1995–2009.
J14. Jeong, H.Y., Song, B.D.*, and Lee, S., 2022. "Optimal scheduling and quantitative analysis for multi-flying warehouse scheduling problem: Amazon airborne fulfillment center." Transportation Research Part C, 143, p.103831.
J15. Jeong, H.Y., Song, B.D.*, and Lee, S., 2020. "The flying warehouse delivery system: A quantitative approach for the optimal operation policy of airborne fulfillment center." IEEE Transactions on Intelligent Transportation Systems, 22(12), pp.7521–7530.
J16. Jeong, H.Y., David, J.Y., Min, B.C., and Lee, S.*, 2020. "The humanitarian flying warehouse." Transportation Research Part E, 136, p.101901.
J17. Jeong, H.Y., Song, B.D.*, and Lee, S., 2019. "Truck-drone hybrid delivery routing: Payload-energy dependency and No-Fly zones." International Journal of Production Economics, 214, pp.220–233.

Papers Under Review

Kim, Y., Jeong, H.Y.*, and Lee, S., 2024. "Drone Delivery Problem with Multi-Flight Level: Machine learning based solution approach." Computers & Industrial Engineering. Under Review. Manuscript ID: CAIE-D-23-03266R2.

Research Experience

R1. Real-time last mile delivery system using collaborative ground-aerial movable stations: Theory, algorithm and application. Funded by the Ministry of Science and ICT (2023–present).
R2. Development of multipoint servocontrol die cushion and process monitoring module for improving the press forming quality. Funded by the Ministry of Trade, Industry and Energy with (주)한빛산업 (2023).
R3. Development of motor housing for high-quality electric vehicles through the application of high-function intelligent molds. Funded by the Ministry of SMEs and Startups with (주)대국정공 (2023).
R4. Development of material forging and manufacturing process technology to improve the mechanical properties of the core parts of the reducer. Funded by the Ministry of Trade, Industry and Energy with (주)케이피에프충주공장 (2023).
R5. Development of vibration insulation products using hybrid materials for powertrain mount systems. Funded by the Ministry of Trade, Industry and Energy with (주)코다코 (2023).
R6. Development of multipoint servocontrol die cushion and monitoring module. Funded by the Ministry of Trade, Industry and Energy with (주)한빛산업 (2022).
R7. Development of manufacturing technology for multilateral body parts. Funded by the Ministry of Trade, Industry and Energy with (주)새한산업 (2022).
R8. Forging and process technology to improve reducer component strength. Funded by the Ministry of Trade, Industry and Energy with (주)케이피에프충주공장 (2022).
R9. High-performance powertrain housing using intelligent mold tech. Funded by the Ministry of Trade, Industry and Energy with (주)코넥 (2022).
R10. Hybrid vibration proof system development for PBV powertrain mounts. Funded by the Ministry of Trade, Industry and Energy with (주)코다코 (2022).
R11. Visualization of Repair Operations Management for Networked Systems Resilience. Funded by Navy Crane Center, U.S. (2019–2022).
R12. Resilience in Networked Systems using collaboration (RNSC) Project. Funded by Navy Crane Center, U.S. (2018–2019).

Conference Proceedings

C1. Kim, B., Jeong, H.Y. and Lee, S., "Last-Mile Delivery Capacity Building in Pandemics Utilizing Community Resources." Available at SSRN 4168513.
C2. Kim, Y., Jung, H., and Lee, S., 2021, August. "Drone Delivery Vehicle Routing Problem with Multi-Flight Level." In IFIP International Conference on Advances in Production Management Systems. Cham: Springer International Publishing, pp. 43–51.
C3. Jeong, H.Y., and Lee, S., 2021. "Collaborative Hybrid Delivery System: Drone Routing Problem Assisted by Truck." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part III. Springer International Publishing, pp. 33–42.
C4. Kim, Y., Jeong, H.Y., Park, J., Kim, K., Kwon, H., Ju, G., and Kim, N., "Optimizing Process Parameters for Hot Closed Forging of Ti-6242 Alloy: A Machine Learning and FEM Simulation Approach." Available at SSRN 4588071.
C5. Song, B.D., Jun, S., Jung, H.Y., and Lee, S., 2019. "Movable Unmanned Aerial System: Optimization of System, Resource Design and Drone Routing." Procedia Manufacturing, 39, pp.300–306.
C6. Jeong, H.Y., and Lee, S., 2019. "Optimization of Vehicle-Carrier Routing: Mathematical Model and Comparison with Related Routing Models." Procedia Manufacturing, 39, pp.307–313.

Presentations

P1. Jeong, H.Y., and Lee, S., 2019. "Airship-based drone delivery system: Quantitative approach for managerial and operational guidelines." INFORMS Annual Meeting, Seattle, US.
P2. Jeong, H.Y., and Lee, S., 2019. "Optimization of Vehicle-Carrier Routing Mathematical Model and Comparison with Related Routing Models." International Conference on Production Research 25th (ICPR25), Chicago, US.
P3. Song, B.D., Jun, S., Jeong, H.Y., and Lee, S., 2019. "Movable Unmanned Aerial System Optimization of System Resource Design and Drone Routing." International Conference on Production Research 25th (ICPR25), Chicago, US.
P4. Jeong, H.Y., and Lee, S., 2018. "Vehicle-Carrier Routing Problem." INFORMS Annual Meeting, Phoenix, US.
P5. Jeong, H.Y., and Lee, S., 2018. "Scheduling Hybrid Delivery System of Truck and Drone: Energy-Payload Dependency and No-Fly Zone." IISE Annual Meeting, Orlando, US.

Academic Awards

1st Runner-up paper at the International Conference on Production Research (ICPR25), 2019.

Skills

Python
R
CPLEX
MATLAB
C#
Gurobi
ARENA
Pytorch
TensorFlow
Abaqus
DEFORM

Ho Young Jeong

About Me