Mathematics

Mathematics publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process. The journal’s Editor-in-Chief and/or designated Editorial Board Member will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. Further information on MDPI's Special Issue policies and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Numerical Analysis and Applied Mathematics: Theory, Methods, and Applications

edited by

Theodore E. Simos

submission deadline 31 Oct 2026 | Submission Open

Keywords: numerical analysis; computational mathematics; applied and industrial mathematics; scientific computing and algorithms; approximation; mathematical physics; mathematical chemistry; mathematical biology and mathematical medicine; optimization and operational research; discrete applied mathematics; mathematical modeling; neural networks; machine learning

(This special issue belongs to the Section E: Applied Mathematics)

Representation Learning for Computer Vision and Pattern Recognition, 2nd Edition

edited by

Guangwei Gao

and

Juncheng Li

submission deadline 31 Oct 2026 | Submission Open

Keywords: representation learning; computer vision; pattern recognition; metric learning and kernel learning; multi-view/multi-modal learning; robust representation and coding; domain transfer learning; learning under low-quality media data; efficient vision transformer; deep learning and its applications

(This special issue belongs to the Section E1: Mathematics and Computer Science)

Complex Dynamical Networks and Chaotic Systems

edited by Hanlin Sun and Lorenzo Cirigliano

submission deadline 1 Nov 2026 | Viewed by 44 | Submission Open

Keywords: complex dynamical networks; dynamics on networks; critical phenomena on networks; higher-order networks; hypergraphs; simplicial complexes; multilayer networks; epidemic spreading model; information diffusion; opinion dynamics; neural networks; ecosystem dynamics

(This special issue belongs to the Section C2: Dynamical Systems)

Information-Induced Geometries in Statistics, Data Analysis, and Applied Research

edited by

Josep Maria Oller

and

David Bernal-Casas

submission deadline 20 Nov 2026 | 1 articles | Viewed by 1365 | Submission Open

Keywords: information; positive-definite kernel; information geometry; intrinsic statistical data analysis; principle of minimum loss of Fisher information; variational principles; quantum mechanics; Bayes theorem

(This special issue belongs to the Section D1: Probability and Statistics)

Advances in Fuzzy Rough Sets and Intelligent Computing

edited by Wentao Li,

Chao Zhang

and

Tao Zhan

submission deadline 31 Dec 2026 | 1 articles | Viewed by 1025 | Submission Open

Keywords: fuzzy rough sets; intelligent computing; machine learning; decision support systems; multi-criteria decision making

(This special issue belongs to the Section D2: Operations Research and Fuzzy Decision Making)

Statistical Analysis and Data Science for Complex Data, 2nd Edition

edited by

Li-pang Chen

submission deadline 31 Dec 2026 | 1 articles | Viewed by 284 | Submission Open

Keywords: algorithm; big data; high dimensionality; noisy data

(This special issue belongs to the Section D1: Probability and Statistics)

Advances in Biostatistics and Bioinformatics

edited by

Bowen Liu

and

Md Nahid Hasan

submission deadline 31 Dec 2026 | Viewed by 92 | Submission Open

Keywords: biostatistics; bioinformatics; machine learning; deep learning; statistical learning; data mining; genomic data analysis; epidemiology; personalized medicine; public health; statistical methods and AI in medical research; statistical methods and AI in epidemiology

(This special issue belongs to the Section D1: Probability and Statistics)

Advanced Mathematical and Statistical Methods for Modern Data Science and Scientific Machine Learning

edited by

Guanxun Li

and

Chunyang Liao

submission deadline 31 Dec 2026 | Viewed by 9 | Submission Open

Keywords: artificial intelligence; approximation theory; bayesian inference; bioinformatics; computational inference; data science; high-dimensional probability; large language models; MCMC; multiple testing; probabilistic modeling; scientific machine learning; statistical computing

(This special issue belongs to the Section D1: Probability and Statistics)

Displaying special issue 1201-1250 on page 25 of 25.

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