2023 2nd International Conference on Big Data Modeling and Optimization (BDMO 2023) will be held in
Rome, Italy during
October 14-16, 2023.
BDMO 2023 aims to provide a forum for researchers, practitioners, and
professionals from the industry, academia and government to discourse on
research and development, professional practice in big data modeling and
optimization. Welcome scholars and researchers working in the
field of big data modeling and optimization from all over the world to attend the
conference and share your experiences and lessons with other
enthusiasts, and develop opportunities for cooperation.
As the situation of covid-19 is still unstable, it's acceptable for those participants who can't attend the conference because of the travel restrictions to present their papers online with reduced registration fee. In the meanwhile, the organizing committee will monitor the situation and the conference may be switched to fully virtual mode if necessary.
Submission Deadline: May 20, 2023
Notification of Acceptance: June 15, 2023
Camera-Ready Submission: June 30, 2023
Registration Deadline: June 30, 2023
Conference Dates: October 14-16, 2023
Please submit your full paper/abstract to us
via the Electronic Submission System:
or email firstname.lastname@example.org. Normally, you'll be contacted within
three days of submission.
Fast registration channel will be opened up for listeners. Interested participants should register in advance by filling out the registration link at least one month before the conference.Registration Link will be announced soon.
Submissions will be peer reviewed by both the
conference scientific committees and journal editorial board, and accepted
papers will be published in International Journal of Modeling and
Optimization. The scientific committees will perform a
pre-review for your papers to see if your paper fits the scope of
Submissions will be
reviewed by the conference committees and IJMO editorial board, and
accepted papers will be published in the IJMO, which will be
indexed by ProQuest, Crossref, Electronic Journals Library, Google Scholar, INSPEC(IET), EBSCO, CNKI, etc.