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Hyun Joon Kim

Hanyang University · Engineering

About the Lab

Professor Hyun Joon Kim's research lab specializes in operations research, optimization, and intelligent systems with a focus on sustainable energy systems and industrial process integration. The lab develops decision support systems and advanced algorithms for optimizing complex supply chains—particularly hydrogen refueling and supply networks—while also addressing challenges in manufacturing processes such as steel-making batching and microminiature heat exchanger welding. Research spans mathematical modeling, graph algorithms, and signal fusion techniques to improve efficiency, reliability, and performance in energy and metallurgical industries. The lab emphasizes real-world applicability through prototype development and computational validation.

hydrogen supply chainoptimizationgraph algorithmsfault diagnosismanufacturing systems

Research Overview

Papers
26
Total Citations
362
Papers (5y)
11
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
11total
2022
2023
2024
2025
2026
Citations per year (5y)
116total
20222023202420252026

Selected Papers

15
1
Article|96 citations·2020
Development of strategic hydrogen refueling station deployment plan for Korea
Hyunjoon Kim, Myungeun Eom, Byung‐In Kim
SJR Q1International Journal of Hydrogen Energy
Automotive EngineeringEngineering
2
Article|77 citations·2003
A cutting plane algorithm for computing k-edge survivability of a network
Young‐Soo Myung, Hyunjoon Kim
SJR Q1European Journal of Operational Research
Civil and Structural EngineeringEngineering
3
Article|38 citations·2023
A web-based decision support system (DSS) for hydrogen refueling station location and supply chain optimization
Hyunyoung Ryu, Deoksang Lee, Jaemin Shin, Minseok Song, Seungyeop Lee, Hyunjoon Kim, Byung‐In Kim
SJR Q1International Journal of Hydrogen EnergyOA

This study presents a novel web-based decision support system (DSS) that optimizes the locations of hydrogen refueling stations (HRSs) and hydrogen supply chains (HSCs). The system is developed with a design science approach that identifies key design requirements and features through interviews and literature reviews. Based on the findings, a system architecture and data model were designed, incorporating scenario management, optimization model, visualization, and data management components. Th

Automotive EngineeringEngineering
4
Article|32 citations·2022
Fast subgraph query processing and subgraph matching via static and dynamic equivalences
Hyunjoon Kim, Yun-Young Choi, Kunsoo Park, Xuemin Lin, Seok-Hee Hong, Wook-Shin Han
SJR Q1The VLDB Journal
Computer Vision and Pattern RecognitionComputer Science
5
Article|22 citations·2021
Exact algorithms for incremental deployment of hydrogen refuelling stations
Hyunjoon Kim, Byung‐In Kim, Daniel Thiel
SJR Q1International Journal of Hydrogen Energy
Electrical and Electronic EngineeringEngineering
6
Article|17 citations·2020
The multi-profit orienteering problem
Hyunjoon Kim, Byung‐In Kim, Dong-jin Noh
SJR Q1Computers & Industrial Engineering
Industrial and Manufacturing EngineeringEngineering
7
Article|16 citations·2021
Optimal sequence for single server scheduling incorporating a rate-modifying activity under job-dependent linear deterioration
Hyunjoon Kim, Byung‐In Kim
SJR Q1European Journal of Operational Research
Industrial and Manufacturing EngineeringEngineering
8
Article|16 citations·2023
Site and capacity selection for on-site production facilities in a nationwide hydrogen supply chain deployment plan
Seungyeop Lee, Hyunjoon Kim, Byung‐In Kim, Minseok Song, Deoksang Lee, Hyunyoung Ryu, Hyunyoung Ryu
SJR Q1International Journal of Hydrogen Energy
Electrical and Electronic EngineeringEngineering
9
Article|14 citations·2023
BICE: Exploring Compact Search Space by Using Bipartite Matching and Cell-Wide Verification
Yun-Young Choi, Kunsoo Park, Hyunjoon Kim
SJR Q1Proceedings of the VLDB Endowment

Subgraph matching is the problem of searching for all embeddings of a query graph in a data graph, and subgraph query processing (also known as subgraph search) is to find all the data graphs that contain a query graph as subgraphs. Extensive research has been done to develop practical solutions for both problems. However, the existing solutions still show limited query processing time due to a lot of unnecessary computations in search. In this paper, we focus on exploring as compact search spac

Computer Vision and Pattern RecognitionComputer Science
10
Article|14 citations·1998
Manufacturing lot-sizing under MRP II environment: An improved analytical model & heuristic procedure
Hyunjoon Kim, Yasser A. Hosni
SJR Q1Computers & Industrial EngineeringOA
Management Information SystemsBusiness, Management and Accounting
11
Article|8 citations·2022
Hybrid dynamic programming with bounding algorithm for the multi-profit orienteering problem
Hyunjoon Kim, Byung‐In Kim
SJR Q1European Journal of Operational Research
Industrial and Manufacturing EngineeringEngineering
12
Article|7 citations·2022
An integrated batching problem for steel plate manufacturing with bi-strand casting
Myung-Ho Lee, Juntaek Hong, Hyunjoon Kim, Inhye Bang, Kangbok Lee, Byung‐In Kim, Jungkyu Kim
SJR Q1International Journal of Production Research

We consider an integrated batching problem for steel-making and continuous casting process of steel plate manufacturing. For steel-making, slab batching problem is defined to make charges from slabs, and for continuous casting, charge batching problem is defined to make casts from charges. Our batching problem is regarded as a combination of slab batching and charge batching problems. Since steel-making and continuous casting are processes that must be synchronised, two batching problems must be

Industrial and Manufacturing EngineeringEngineering
13
Article|2 citations·2005
An Algorithm for the Graph Disconnection Problem
Young‐Soo Myung, Hyunjoon Kim
Management Science and Financial Engineering

We consider the graph disconnection problem, which is to find a set of edges such that the total cost of destroying the edges is no more than a given budget and the weight of nodes disconnected from a designated source by destroying the edges is maximized. The problem is known to be NP-hard. We present an integer programming formulation for the problem and develop an algorithm that includes a preprocessing procedure for reducing the problem size, a heuristic for providing a lower bound, and a cu

Management Information SystemsBusiness, Management and Accounting
14
Article|1 citations·2025
Balancing yield and makespan in wafer fabrication: A two-stage data-driven scheduling approach
Min-Geol Kim, Hyunjoon Kim, Stephane Barde, Chang-Ho Lee, Chang-Ho Lee
SJR Q1Journal of Manufacturing Systems
Industrial and Manufacturing EngineeringEngineering
15
Article|1 citations·2017
Study on Influence of Carbon Nanotubes and Alumina Additives to Lubrication and Wear Characteristics
Yun Chang Seok, Dae-san Oh, Hyunjoon Kim
Tribology and Lubricants
Mechanics of MaterialsEngineering

Research Areas

Industrial and Manufacturing EngineeringElectrical and Electronic EngineeringAutomotive EngineeringCivil and Structural EngineeringComputer Vision and Pattern RecognitionManagement Information Systems

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