International Conference on Optimization and Data Science in Industrial Engineering (ODSIE 2024)

7 - 8 November 2024, Istanbul, Turkey

Abstract/Full Paper Submission Deadline
2024-08-09
Full Paper/Revised Full Paper Submission Deadline
2024-11-30
Early birds registration
2024-09-06
Conference Start Date
2024-11-07
Conference End Date
2024-11-08

It is our great pleasure to announce the second International Conference on Optimization and Data Science in Industrial Engineering.

In collaboration with Istinye University in Istanbul, ODSIE 2024 will be held online, bringing together faculty members, scholars, educators, industry experts, and university students from across the world. The conference aims to provide a platform for the exchange of information, experiences, and recent theoretical and practical achievements in optimization and data science within industrial engineering, encompassing both research and industry.

ODSIE 2024 presents an exceptional opportunity for experts to address current national and international data science and optimization issues and foster collaboration between universities and industries. In addition to paper presentations and invited keynote speakers, the conference will feature informative workshops and programs, details of which can be found on our website. The conference will warmly welcome all researchers, lecturers, and students, as well as managers and experts in the field of engineering management and IT. The conference language would be English and the papers could be submitted and presented in English and Turkish. The selected papers will be sent for publication to the journals that are mentioned on the website.

Submissions falling into the area of Optimization and Data Science are encouraged. Full papers and abstracts are accepted for presentation at the conference and publication in the proceeding. Both theoretical and applied papers, including case studies, that focus on the application of exact and approximate optimization methods as well as data science and engineering tools to improve decision-making in the following areas and beyond are cordially welcome.



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