Brochure (PDF)

ICISE 2019

Organizer: Department of Industrial Engineering, Hanyang University

Program Book (PDF)

School of Data Science, City University of Hong Kong
School of Industrial and Systems Engineering, Georgia Institute of Technology

Conference General
Information (PDF)

Aim and Scope of the Conference

The ICISE Conference aims to provide a platform for innovative creation, development, and dissemination of research ideas and results on the interface between statistics and engineering for the support of complex system design and operation, quality and reliability improvement, and optimal proactive decision-making.

Pre-workshop Seminar
(registration needed)

LIST OF TOPICS (not limited to)

  1. Applied statistics in engineering applications
  2. Data mining and machining learning
  3. Design and Analysis of Experiments, robust design
  4. Quality and reliability engineering, six sigma

  5. Register
  6. System informatics and control
  7. System operational control and decision making in data-rich environments
  8. Statistical data analysis with engineering models
  9. Smart and connected systems (e.g., manufacturing, healthcare, communities, cities)
  10. Analytics for advanced manufacturing, e.g, additive manufacturing, nano/bio manufacturing
  11. Industrial data analytics for Internet of Things
  12. Big data in industry
  13. Cyber-physical system security and data analytics
  14. Statistical risk analysis and engineering

Time and Place

Date: 26-28 June 2019, Wed-Fri
Venue: Hanyang University, Seoul, South Korea
Address: Hanyang Institute of Technology, Hanyang University, Seoul, South Korea

Official Language

The official language of the Conference is English.

Important Dates

28 Feb 2019
(Extended to 31 Mar 2019)
Deadline for Abstracts Submission
31 Mar 2019 Notification of Abstract Acceptance
1 Apr 2019 Registration Commencement
15 May 2019 Deadline for Early Bird Registration
26-28 Jun 2019 ICISE2019

ICISE 2019 Secretariat (South Korea)
Address: #815, 114, Yeoksam-ro, Gangnam-gu, Seoul, 06252, Republic of Korea
Email: | Tel: +82 2 6964 8320 (PCO: Enlight)
Identification Number: 427-82-00254 (KSPHM, Korea Society for Prognostics and Health Management)