Interdisciplinary Applications of Mathematics (MIA)
Section Information
Interdisciplinary Applications of Mathematics focus on the use of mathematical theories, models, and computational methods to address complex problems across science, engineering, medicine, economics, and social systems. The field promotes collaboration between mathematicians and domain experts to translate abstract concepts into practical solutions.
Current research includes mathematical modeling of physical and biological systems, data-driven analysis, optimization in engineering design, quantitative finance, and computational simulation of complex processes. Advances in machine learning, high-performance computing, and multiscale modeling are expanding the reach of applied mathematics into emerging fields.
This section publishes integrative studies, applied modeling research, cross-disciplinary collaborations, algorithm development, and review articles that demonstrate the impact of mathematical methods beyond traditional boundaries.
Scope
Mathematics in Physical Sciences
- Modeling in physics and engineering
- Computational fluid and solid mechanics
- Electromagnetic and wave propagation models
- Energy systems analysis
Mathematics in Life Sciences
- Biological and ecological modeling
- Epidemiological and health system models
- Systems biology and network analysis
- Pharmacokinetic and pharmacodynamic modeling
Mathematics in Economics and Finance
- Quantitative finance and risk modeling
- Game theory and decision analysis
- Economic forecasting models
- Optimization in resource allocation
Data Science and Machine Learning
- Statistical modeling and inference
- Predictive analytics
- Mathematical foundations of AI
- Big data modeling techniques
Industrial and Engineering Applications
- Process optimization and control
- Supply chain and logistics modeling
- Reliability and risk assessment
- Smart manufacturing systems
Environmental and Sustainability Modeling
- Climate and environmental system models
- Water and energy resource optimization
- Sustainable development modeling
- Urban systems analysis
Computational and Algorithmic Development
- Numerical methods for interdisciplinary problems
- High-performance computing applications
- Simulation of complex adaptive systems
- Algorithm design for large-scale models
Editorial Board
Papers Published
Click here to see a list of 5 papers published in this section.