Special Issue "Selected Papers from the 2023 6th International Conference on Mathematics and Statistics (ICoMS 2023)"

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".

Deadline for manuscript submissions: 31 October 2023 | Viewed by 105

Special Issue Editors

Centre for Mathematics and Natural Sciences, Leipzig University of Applied Sciences, PF 30 11 66, 04251 Leipzig, Germany
Interests: applied analysis; partial differential equations; hamiltonian systems (with ports)
Faculty for Digital Transformation, HTWK Leipzig University of Applied Sciences, 04251 Leipzig, Germany
Interests: physics simulation; image processing; inverse problems; separable and superintegrable systems
Department of Statistics and Operational Research, University of Granada, 18071 Granada, Spain
Interests: reliability and survival analysis; markov and semi-markov processes; nonparametric statisitical inference

Special Issue Information

Dear Colleagues,

The special issue will include the papers from the 2023 6th International Conference on Mathematics and Statistics (ICoMS 2023), to be held in Leipzig, Germany during July 14-16, 2023. The website is: www.icoms.org. We kindly invite you to submit manuscripts for this special issue in the fields of Numerics, Analysis or Stochastics discussing problems regarding the Mathematics of digital twins, i.e. Modeling, Simulation and Optimization (MSO) in a data-rich environment. The paradigm which comes with the notion of a digital twin substantially extends the well-known Modeling, Simulation and Optimization (MSO) cycle of development and requires new mathematical methods. A digital twin is a hierarchical model, which can be interconnected with models of other systems or processes, which can be simulated with different degrees of realism depending on the use cases, and which includes data models generated by machine learning and governed by artificial intelligence. The development of digital twins needs recent numerical methods, a profound analytical understanding of systems and/or processes, and has to take into account stochastic effects. Manuscripts extending the knowledge in these fields are taken into consideration for this special issue.

Prof. Dr. Jochen Merker
Prof. Dr. Konrad Schöbel
Prof. Dr. María Luz Gámiz-Pérez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2100 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • mathematical modeling
  • numerical analysis
  • mathematical statistics
  • mathematics of digital twins
  • modeling, simulation and optimization in a data-rich environment
  • scientific computing
  • machine learning
  • artificial intelligence
  • dynamic modeling
  • data analysis

Published Papers

This special issue is now open for submission.
Back to TopTop