Emerging Mathematical Methods in Data Science: Theory, Algorithms, and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 7
Special Issue Editor
Interests: polymer processing; viscoelasticity; particle-laden flows; thermo-fluids; computational rheology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the mathematical foundations of data science have undergone a rapid evolution, driven by demands for scalable algorithms, rigorous uncertainty quantification, and robust inference in high-dimensional settings.
This Special Issue seeks original research and survey articles that advance the mathematical underpinnings of data science. We invite contributions on the following topics:
- Algorithmic innovations in randomized algorithms for matrices and tensors and optimization methods for large-scale learning.
- Uncertainty quantification frameworks for data-driven models, including Bayesian methods and robust statistics.
- Topological and geometric data analysis, covering persistent homology, manifold learning, and graph-based techniques.
- Applications that demonstrate the impact of these methods in science, engineering, and healthcare.
Dr. Célio Fernandes
Guest Editor
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 2600 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.
Keywords
- randomized algorithms
- statistical learning theory
- optimization
- topological data analysis
- uncertainty quantification
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
