English 中文

Submission Deadline
June 11, 2019
Template
Submission_Form
MSBDA2019 CFP Flyer

Please send your paper(s) and Submission Form to MSBDA2019 via email:
cfp@msbda.org or msbda2019@sina.com.
The email subject should be named "Submission/Name/Personal Contact".

Publication

All accepted papers for MSBDA2019 will be published by Atlantis Press on Advances in Computer Science Research (ISSN: 2352-538X), which will be submitted for indexing by EI Compendex, CPCI-S (formerly called ISTP), Scholar Google and CNKI. MSBDA2019 will also be online available in full text via the press platform.

Excellent papers will be selected and published on SCI and EI journals.

Committees


Prof. Z. Algazy

Prof. D.C. Raiteri

Prof. I.L. Popa

Dr. V. Rusyn

Dr. D.N. Hoang Thanh

Prof. P.P. Ray

Prof. A. Mathews

Prof. C.H. Wang

Prof. L. Nguyen

Prof. S.B. Tsai

Prof. S. Shelke

Prof. O. Adiguzel

Dr. M. Motahari-Nezhad

Dr. D.S.K. Mendis

Prof. M.K. Marichelvam

Prof. G. Gheorghe

Dr. E. Quaranta

Dr. M.A. Chung

Prof. A. Fakharian

Prof. R.H. Wong

Dr. I. Memon

Prof. E. Macioszek

Prof. B. Llamazares

Prof. S. Kushwaha

Dr. M. Shokrian Zeini

Prof. R. Poorvadevi

Prof. R. Branco
WELCOME TO JOIN MSBDA2019

Join MSBDA as Author Giving oral/poster presentation on MSBDA2019 with publishing your paper. Please submit your full English papers to cfp@msbda.org before June 11, 2019.

Join MSBDA as Listener Without submitting paper or giving presentation, you also can attend MSBDA2019 as a Listener. Welcome to join us right now!


Join MSBDA as Keynote Speaker If you are interested in being a Keynote Speaker, to share your ideas in the fields of Modeling, Simulation and Big Data Analysis, please send your CV and photo to cfp@msbda.org.

Join MSBDA as TPC/Reviewer We sincerely welcome experts in the fields of Modeling, Simulation and Big Data Analysis join us as TPC/Reviewer. If you are interested in, please send your latest CV to cfp@msbda.org.

Conference Photos

Copyright © 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA2019)