Industrial Data

Engineering & Analytics

(IDEA) Lab.

About IDEA Lab


We will contribute to industrial intelligence through framework research that applies data engineering and analytics to industry issues.

Research Area:

- Industrial Data Engineering:

Research on how industrial data should be prepared (data collection, storage, processing, etc.) for effective industrial data analytics

* Topic: Data Interoperability, Data Collection for Analytics Purpose, etc.

- Industrial Data Analytics:

Research for Data Analytics Application Framework to support data-driven decision making in the industrial domain

* Topic: Predictive Maintenance, Fault Diagnosis, Standard Time Estimation, etc.


- Development of prognostics and health management for SMEs (MTIE funded, Ongoing)

- Deep learning applications on manufacturing systems (MTIE funded, Ongoing)

- Manufacturing big data Analytics based decision support service (MTIE funded, Ongoing)

- Prediction of standard time based on product specification using historical data

Lab history

  • 1994.9.16 - Dr. Cho joined Dept. of Industrial Engineering of POSTECH

  • 1994.9.16 - MSI(Manufacturing Systems Integration) Lab opened

  • 2001.2.14 - First Ph.D. (Joo, Jaekoo) graduated

  • 2012.3.1 - Joint appointment with CITE (Department of Creative IT Excellence Engineering)

  • 2012.6.14 - Changed to ISL (Systems Integration and Innovation) Lab

  • 2018.3.19 - Changed to IDEA (Industrial Data Engineering & Analytics) Lab

  • Total of 16 Ph.D. Graduates

  • Total of 30 M.S. Graduates