Aims

Mathematical Modelling for Sustainable Engineering (MMSE) is a forward-looking international journal that places sustainability at the core of engineering innovation. It aims to become a premier platform for the application of advanced mathematical modelling techniques in addressing critical challenges related to sustainability across all engineering disciplines. From infrastructure and manufacturing to energy, transportation, environment, and beyond, MMSE fosters cross-disciplinary solutions that are grounded in mathematical rigor and practical relevance.

The mission of MMSE is to promote research that uses mathematical, numerical, or computational models to support sustainable development goals (SDGs), drive carbon neutrality, optimize resource use, and enhance system resilience. The journal invites cutting-edge contributions that bridge theory and real-world applications, offering transformative insights into sustainable engineering design, operation, and decision-making.

MMSE differentiates itself through its comprehensive coverage of engineering sectors, its interdisciplinary vision, and its emphasis on modelling as a vehicle for environmental and societal impact.

Features that set MMSE apart include:

• Every publication benefits from prominent indexing, ensuring widespread recognition.

• A distinguished editorial team upholds unparalleled quality and broad appeal.

• Seamless online discoverability of each article maximizes its global reach.

• An author-centric and transparent publication process enhances the submission experience.

Scope

MMSE's scope is broad and interdisciplinary, covering a wide array of topics including, but not limited to:

Mathematical Modelling for Sustainable Engineering Systems:

• Multi-scale modelling and simulation of complex engineering systems

• Resilience modelling for infrastructure systems under climate change

• Low-carbon, net-zero energy systems and decarbonization pathways

• Integrated modelling for water, energy, and environmental systems

• Mathematical approaches for circular economy and resource reuse

Mathematical and Computational Methodologies:

• Advanced differential equations, fractional calculus, and dynamical systems

• Multi-objective, stochastic, and robust optimization methods

• Data-driven and physics-informed hybrid modelling frameworks

• Machine learning, neural networks, and AI for sustainable applications

• Probabilistic modelling, uncertainty quantification, and risk analysis

Sustainable Sector Applications:

• Green building design and energy-efficient construction modelling

• Sustainable manufacturing, lean processes, and supply chain modelling

• Smart transportation systems, logistics, and mobility modelling

• Modelling in resource-intensive sectors: mining, oil & gas, agriculture

• Aerospace, maritime, and defense sustainability modelling

Environmental and Social Modelling:

• Carbon footprint modelling and lifecycle assessment (LCA)

• Air and water pollution modelling, remediation and resource recovery

• Socio-economic system dynamics, sustainability policy modelling

• ESG metrics integration into engineering models

• Modelling for environmental justice and community resilience

Implementation, Case Studies, and Applications:

• Field-tested mathematical models with sustainability impacts

• Integration into digital twin environments and real-time systems

• Case studies on engineering interventions and performance tracking

• Benchmarking sustainability metrics through modelling

• Cross-disciplinary implementations of sustainable engineering frameworks

MMSE welcomes contributions that transform mathematical insights into tangible advances for sustainable engineering systems and encourages collaborative research at the intersection of modelling, computation, and sustainability science.