Journals
-
Mathematical Models and Methods in Modern Mathematics
The scientific journal Mathematical Models and Methods in Modern Mathematics (MMMMM) accepts research articles in all area’s mathematics and their applications. The journal’s scope encompasses all linear and nonlinear dynamic phenomena associated with engineering, applied sciences, computational science, computer, mechanical science, mathematics, electrical science, physical science, and nonlinear systems. MMMMM is dedicated to publishing the highest-quality short papers, regular papers, and expository papers. MMMMM considers only original and timely contributions containing new results in various fields of mathematics and computer engineering. The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to real-world problems. The journal is essentially functioning on the basis of topical issues representing active areas of research.
Topics of MMMMM
• Equations of Mathematical Physics;
• Partial Differential Equations, Ordinary Differential Equations;
• Dynamical Systems and Optimal Control;
• Ill-posed Problems, Inverse Problems;
• Computational Mathematics;
• Discrete Mathematics and Mathematical Cybernetics;
• Mathematical Models of Phenomena, described by the above topics;
• Mathematical Modeling, Mathematical Programming, Applied Mathematics;
• Numerical and Approximation Methods, Computational Procedures & Algorithms, related to the Primary MMMMM topics;
• Fractal and Integral Geometry;
• Engineering Mathematics, Mathematical Models of Physical Processes;
• Fractional Order Differential and Integral Equations and Systems;
• Fractal and Integral Geometry;
• Control Theory, Mechanics, Probability and Statistics, Finances, Engineering, etc.
-
BRICS Journal of Stochastic Engineering
Aims and Scope
The BRICS Journal of Stochastic Engineering aims to advance knowledge and foster innovation by publishing high-quality research articles, reviews, and methodological contributions that apply stochastic models and probabilistic approaches to engineering systems and processes. The journal serves as a platform for the dissemination of original work that explores uncertainty, randomness, and probabilistic modeling in the analysis, design, and operation of engineering structures, materials, systems, and processes.
Scope
The scope of the journal includes, but is not limited to:
Development and application of stochastic models in various branches of engineering, such as civil, mechanical, electrical, chemical, and environmental engineering.
Theoretical, computational, and experimental studies addressing uncertainty quantification, reliability analysis, risk assessment, and stochastic optimization in engineering contexts.
Research on stochastic systems, stochastic differential equations, random processes, probabilistic design, data-driven stochastic methods, and machine learning under uncertainty.
Multidisciplinary applications where stochastic methods intersect with engineering—such as in smart infrastructure, materials engineering, control systems, signal processing, and finance-inspired engineering solutions.
Reviews, case studies, and methodological advances that illustrate the state-of-the-art or push the boundaries of stochastic engineering as a discipline.
The journal is open to contributions that bridge theory and practice, providing insights relevant to both academics and practitioners working with complex engineering systems influenced by randomness and uncertainty
-
BRICS Journal of Applied Mathematics and Engineering Sciences
AIM & SCOPE
BRICS Journal of Applied Mathematics and Engineering Sciences
The BRICS Journal of Applied Mathematics and Engineering Sciences invites original research articles, review papers, and high-quality technical contributions for its upcoming issues. This peer-reviewed journal focuses on advancing the theory, methodology, and applications of mathematics in engineering and applied sciences, addressing real-world challenges faced by BRICS nations and the global community.
Scope
The journal covers a wide range of topics including but not limited to:
Applied Mathematics and Mathematical Modeling
Computational Methods and Algorithms
Engineering Sciences and Technology
Control Theory and Systems Engineering
Optimization Techniques and Applications
Signal Processing and Communications
Fluid Mechanics, Structural Mechanics, and Materials Science
Data Analysis, Statistics, and Probability
Interdisciplinary applications in Physics, Economics, and Environmental Sciences
