Department Introduction
| Research Area | Contents |
|---|---|
| Big Data | To provide insights into corporate operations and healthcare services, we conduct convergent research combining engineering and humanities to understand and predict people's everyday behaviors and relationships by analyzing big data collected both online and offline. This is achieved through the integrated application of interdisciplinary principles from data mining, machine learning, statistics, business administration, psychology, and medicine. |
| Industrial Artificial Intelligence | To address the challenges faced in various industrial sectors, we aim to realize manufacturing intelligence, energy intelligence, transportation intelligence, and social intelligence by applying techniques such as artificial intelligence, machine learning, and process mining. |
| Optimization | To perform tasks to improve systems by optimizing the decision-maker's objective function among multiple alternatives that satisfy the given constraints. |
| Ergonomics | Conduct research and related tasks utilizing ergonomic principles and related theories to improve user experience in products through UI/UX planning and evaluation, workplace safety and health, and ergonomic product and system design. |
| Financial Engineering | Conduct research mathematical and engineering techniques such as optimization, data analysis, and programming to solve various problems in the financial industry. Emphasizing portfolio management through risk analysis of financial markets and products, we conduct studies on modeling the value and risk of investments. |
|
Production/Logistics Management |
The concepts of production, logistics, and SCM extend beyond simple manufacturing to the service industry as well. While macro and micro decision-making in these areas can rely on intuition, utilizing quantitative decision-making methodologies can efficiently enhance system operations and management performance. We research various methodologies for this purpose, including optimization, simulation, and alternative approaches. |
| Technology Management | Conduct research on new product development and policy strategies to increase market success potential and maximize economic welfare, based on management and economic theories for forecasting demand and evaluating the economic value of innovative technologies and products. To reduce market uncertainty, we develop statistical models by integrating interdisciplinary knowledge from engineering, economics, and business administration. |
| Smart Factory | Conduct technology development that applies various technologies that realize optimization, intelligentization, and modularization by utilizing the Internet of Things and artificial intelligence in actual manufacturing environments such as automobiles, semiconductors, shipbuilding, and steel, and leads the international standard for industrial information that is core to the smart factory field. |
| Simulation | To improve production and service systems, we create simulation models based on probability theory to collect data for further analysis using artificial intelligence. By comparing and analyzing long-term outcomes of various system operation scenarios, we derive alternative solutions. |
| Name | Position | Degree | University | Research Area | |
|---|---|---|---|---|---|
| Jai-Rip Cho | Emeritus Professor | Ph.D. | Hanyang University | Quality Management, Service Management, Applied Statistics, Environmental Management, Reliability Management, Customer Relations Theory | jrcho@khu.ac.kr |
| Hyo-Seong Lee | Emeritus Professor | Ph.D. | University of Michigan | Queueing Theory, Management Science, Production System Modeling | hslee@khu.ac.kr |
| Yang-Byung Park | Emeritus Professor | Ph.D. | Oklahoma State University | SCM, Industrial Logistics, Production Management | ybpark@khu.ac.kr |
| Sang-Kuk Kim | Emeritus Professor |
Ph.D. |
University of Wisconsin, Madison | Analysis and Development of Corporate Information Systems, Management Transformation of Organizations using MIS, Strategy Development of Companies and Countries | sangkkim@khu.ac.kr |
| Chang-Ho Jihn | Professor |
Ph.D. |
Texas A&M University | Big Data Analysis in Health and Business http://allbigdata.khu.ac.kr |
jihn@khu.ac.kr |
| Jae-Yoon Jung | Professor |
Ph.D. |
Seoul National University | Industrial Artificial Intelligence, Big Data Analytics, Smart Factory, Process Mining http://iai.khu.ac.kr/ |
jyjung@khu.ac.kr |
| Jungwoo Shin | Professor |
Ph.D. |
Seoul National University | Technology Management, Environmental Management, Demand Forecasting, Valuation https://www.tmlabkyunghee.com |
shinjung@khu.ac.kr |
|
Sangwoo Bahn |
Professor |
Ph.D. |
Seoul National University | Ergonomics, HCI, UI/UX https://kyungheehcdl.wixsite.com/hcdlab |
sbahn@khu.ac.kr |
|
Jumyung Um |
Associate Professor |
Ph.D. |
POSTECH | Smart Factory, Intelligent Products, Additive Manufacturing, VR/AR https://umjumy.github.io/smartfactorylab |
jayum@khu.ac.kr |
|
Hyun Woo Jeon |
Associate Professor |
Ph.D. |
Pennsylvania State University | Simulation, Energy, Smart Production, Queuing Theory https://sites.google.com/khu.ac.kr/isal |
hwjeon@khu.ac.kr |
|
Younghoon Kim |
Assistant Professor |
Ph.D. |
Korea University | Machine Learning and Knowledge Processing, Quality Process Control https://sites.google.com/khu.ac.kr/aims |
y.kim@khu.ac.kr |
|
Hyunhong Choi |
Assistant Professor |
Ph.D. |
Seoul National University | Science and Technology Policy, Science and Technology Management, Technology Strategy https://tdilab.khu.ac.kr |
hongchoi@khu.ac.kr |
|
Kwansuk Oh |
Assistant Professor |
Ph.D. |
Seoul National University |
Product Engineering, Production Management https://sites.google.com/khu.ac.kr/pepslab |
oh0421@khu.ac.kr |