Research in Mathematics

Advances in Applied and Interdisciplinary Mathematics for Data-Driven Science

This Article Collection aims to collect high-quality contributions to be presented in First International Conference on Mathematics and Applied Data Science (ICMADS‘25) and to highlight recent advances at the intersection of Applied mathematics and Data Science, with a particular focus on interdisciplinary applications. As the complexity of real-world systems grows, mathematical models and data-driven methodologies have become essential tools across a wide range of fields, including engineering, physics, biology, economics, and social sciences. We invite high-quality contributions that explore novel mathematical techniques, computational methods, and data-centric approaches addressing current challenges in science and technology. This Article Collection welcomes both theoretical developments and practical applications that demonstrate the power of mathematics in extracting meaningful insights from data and solving complex, real-world problems.

The integration of Applied Mathematics and Data Science is crucial in addressing today’s complex, real-world problems. Mathematical Modelling provides the foundation for understanding dynamic systems, while data science enables the extraction of insights from large and complex datasets. Together, they offer powerful tools for advancing knowledge and creating practical solutions across disciplines such as engineering, physics, biology, economics, and environmental science.

This interdisciplinary approach is essential for developing reliable algorithms, improving decision-making, and ensuring the robustness of predictive models. As challenges become more data-intensive and multifaceted, the collaboration between mathematicians, data scientists, and domain experts becomes increasingly valuable. In this context, ICMADS’25 will serve as a valuable platform to bring together high-impact researchers and academicians who are actively engaged in applied mathematics, interdisciplinary modelling, and data science applications.

The importance of this field lies in its ability to turn abstract mathematical concepts into real-world applications, supporting innovation and technological advancement. By fostering this integration, we can tackle pressing global issues more effectively and promote sustainable, data-informed solutions in science, industry, and society.

This Article Collection will focuses on the interplay between Applied and Interdisciplinary Mathematics and their growing impact on Data Science Applications. As modern scientific challenges increasingly require mathematical innovation and data-driven solutions, this Article Collection seeks contributions that advance mathematical theory while addressing practical problems.

Relevant subtopics included, but are not limited to:

• Mathematical Modelling of Complex Systems
• Numerical Analysis and Differential Equations
• Stochastic Processes
• Inverse Problems
• Computational Linear Algebra
• Computational and Mathematical Neuroscience & Medicine
• AI & Machine Learning Applications
• Optimization & Operations Research
• Mathematical Finance, Marketing & Risk Analysis
• Data Science in Engineering
• Data Science in Education and Natural Sciences

We also welcome submissions on mathematical foundations of machine learning, statistical inference, and network analysis, especially when rooted in rigorous mathematical frameworks.

Given the scope of Research in Mathematics, the Collection encourages the submission of original research articles, comprehensive review papers, and methodological contributions that demonstrate strong mathematical depth. Submissions should highlight how mathematical tools are being used or extended to tackle real-world problems across science, engineering, and industry, with clear relevance to current mathematical research.

Keywords: Computational Mathematics, Mathematical Techniques in Data Science, Mathematical Finance, Marketing & Risk Analysis, AI & Machine Learning Applications, Optimization & Operations Research

Manuscript Submissions:

Manuscript submission is open until 31st May 2026.

Please carefully review the journal scope and author submission instructions prior to submitting an abstract as it will be rejected if it does not fall within the scope of the journal.

All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Manuscripts which do not fall within the scope of the journal will be rejected.

To submit your papers to this Article Collection, please:

1. Check "yes" for the question, "Are you submitting your paper for a specific special issue or article collection?"
2. Select the relevant Article Collection from the drop-down menu under the question, "Advances in Applied and Interdisciplinary Mathematics for Data-Driven Science"

We are able to offer a 10% Discount to all authors, and have a limited number of 20% Discount codes only available for early submissions. It should be noted that discount codes must be entered in at the point of submission as they cannot be applied retroactively, nor can these be combined as only the higher valued discount would be applicable.

Please contact Christopher Montgomery, Commissioning Editor regarding details on obtaining your discount codes, and with any other queries for this Article Collection.

Article Collection Guest Advisors

Prof. Mehmet Yavuz received a BSc degree (2009) from Bulent Ecevit University, Türkiye, and both MSc (2012) and PhD (2016) degrees in applied mathematics from Balıkesir University, Türkiye. He visited the Department of Mathematics, University of Exeter, U.K., in the period 2019-2020. He is a Full Professor of Applied Mathematics at Necmettin Erbakan University, Türkiye. He has published more than 100 research papers in reputed journals, 10 book chapters and edited 4 books published by esteemed publishers. He works on fractional calculus, applied data science, mathematical biology, nonlinear dynamics, and optimal control. He is Editor-in-Chief of the journals “Mathematical Modelling and Numerical Simulation with Applications”, “Bulletin of Biomathematics” and “Mathematical Modelling for Sustainable Engineering”.

Prof. Ercan Celik received his Ph. D. degree from Department of Mathematics, Ataturk University in 2002. He is a Full Professor of Applied Mathematics at the Department of Applied Mathematics and Informatics, Kyrgyz-Turkish Manas University. His research interests include Applied Mathematics, Numerical Analysis, Fractional Calculus, Optimal Control, Differential Equations, Fuzzy Differential Equations, Differential Algebraic Equations.  He has published more than 100 research papers in reputed journals.

Dr. Mathiyalagan Kalidass received the B.Sc., M.Sc., and M.Phil. degrees in mathematics from Bharathiar University, Coimbatore, India, in 2005, 2007 and 2008, respectively. He received the Ph.D. degree in mathematics from Anna University, Chennai, India, in 2012. He is currently a Post-Doctoral Research Fellow with the Institute of Cyber-System and Control, Zhejiang University, Hangzhou, China. To his credit, he has published over 25 research papers in Science Citation Index journals. His current research interests include neural networks, delay differential systems, robust control for linear and nonlinear systems, and networked control systems.