Special Issue: The Mathematics of Data Science and Applications

2025-07-31

Overview

This special issue aims to provide a platform for advancing mathematical research that underpins and supports methodologies in data science. Emphasis will be placed on both theoretical innovations and real-world applications across disciplines such as biology, economics, climate science, engineering, and artificial intelligence.

Scope of the Special Issue

We welcome submissions in (but not limited to) the following areas:

- Mathematical foundations of machine learning and AI

- Sparse modeling and high-dimensional data

- Generalization theory and learning bounds

- Matrix and tensor decompositions

- Topological data analysis

- Optimization algorithms for data science

- Probabilistic models and stochastic processes

- Mathematical image analysis and computer vision

- Inverse problems and regularization techniques

- PDEs in modeling data evolution

- Algebraic geometry and combinatorics in data

- Uncertainty quantification and error analysis

Guest Editor：

Lead Editor: Dr. Tahir Mehmood, tahime@gmail.com

National University of Sciences and Technology (NUST),

School of Natural Sciences(SNS),

Islamabad, Pakistan

Co-Lead Editor: Prof. Dr. Ilker Ercan, ercan@uludag.edu.tr

Uludag University Medical Faculty,

Department of Biostatistics,

Turkey

Important Dates

Submission Opens: July 31, 2025

Submissions should present original and high-quality research that is not currently under review elsewhere. All manuscripts will undergo a rigorous double-blind peer review process. Previously published conference papers must be substantially extended and clearly identified during submission.

Submission Information

Submit it online: http://ojs.wiserpub.com/index.php/CM/user/register

Or send it to the email address: kitaro@universalwiser.com

Submission Guideline

https://ojs.wiserpub.com/index.php/CM/about/submissions

For any inquiries about this Special Issue, please contact the Editors via kitaro@universalwiser.com