The department offers courses and programs for individuals who wish to extend their training in industrial engineering on either a part-time or full-time basis. Graduate Programs leading to the Master of Science and Doctor of Philosophy degrees are available. The course requirements in both programs are flexible, and each student is urged to design his or her own program under the guidance of a faculty advisor. However, a core set of graduate courses in manufacturing, production management, operations research, and statistics must be satisfied by all graduate students. Details regarding the above and related matters may be obtained from the department office. Graduate students are encouraged to actively pursue research. Faculty members of the Department of Industrial Engineering are engaged in experimental and theoretical research in most of the fields in which courses are offered. Both degrees of Master of Science and Doctor of Philosophy require a dissertation based on the candidate's original research, which is supervised by a faculty member.
Laboratories
| Laboratory | Director | Research Area |
|---|---|---|
Indusstrial Data Analytics Lab. |
Kim, Kihun |
Conducts research to derive solutions from industrial problems and embody those solutions as smart systems by applying machine learning and data mining to industrial data of healthcare, manufacturing, and transportation |
Risk Analytics Lab. |
Kim, Dowon |
Models the system using probability theory and simulation optimization techniques, and study ways to detect and respond to risks through scenario design and data analysis. |
| Manufacturing Data Analytics Lab. |
Ryu, Kwang yeol | Researches various application models for convergence technologies for innovation of manufacturing and systems such as IT/UT, and establishment of strategic methodology. |
| Applied Statistics Lab. | Park, Chanseok | Conducts research on various applied statistics fields. The research areas include quality and reliability engineering, competing risks models and statistical computing. The theoretical areas such as robustness and minimum distance methods are also carried out. |
| Business & Service Computing Lab. |
Bae, Hye-Rim | Researches general business and service computing area, from BPM and other enterprise information systems, semantic web, newly-emerging mobile technology and data analytics in process aware information system. |
| Engineering and Computational Optimization Lab. |
Lee, Gyu M. | Conducts basic and applied research in various engineering optimization problems using computational, mathematical programming and information technological approaches. |
| Intelligent Data Analysis Lab | Chung, Jihoon | Develop data-driven methods, including artificial intelligence and statistical learning, for the quality control of manufacturing systems using actual sensor measurements. |
| The Human & Safety Engineering Lab. | Jin, Sangeun | Human factors and ergonomics is the application of our understanding of the capabilities and limitations of human beings in the design of the workplace and consumer products. Current emphasis areas include 1) investigating ergonomic design solution with a particular focus on biomechanics, 2) developing products for disabled or disadvantaged person for inclusive design, and 3) vehicle ergonomics for advanced driver assistance system. |
| Smart Factory Lab. | Han, Junhee | Conducted research to solve/improve operational problems in the manufacturing field using various techniques such as machine learning and optimization. |
| Operations Analytics Lab. | Hong, Soondo | We investigate operational algorithms, stochastic models, and simulation models that analyze and improve the operations and productivity of logistics and related production systems. |