Francesco Facchini, Claudio Sassanelli, Giovanni Mummolo, & João Carlos Gonçalves dos Reis

Industrial Engineering and Operations Management - I:
XXXI IJCIEOM, Bari, Italy, June 23–25, 2025

Details

• Publisher: Springer Nature Switzerland / Springer Berlin

• Publication Date: Expected June/July 2026

• Series: Springer Proceedings in Mathematics & Statistics (Volume 528)

• Format: Hardcover (approx. 590–687 pages)

• Language: English

• ISBN-13: 978-3-032-13625-1 (9783032136251)

• ISBN-10: 3032136253

• Subject Categories: Business & Economics, Operations Research, Industrial Engineering, Production Management

Explanations & Abstract

This book represents the first volume of peer-reviewed proceedings from the XXXI International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), hosted in Bari, Italy.

The publication serves as a comprehensive showcase of cutting-edge applications, empirical case studies, and novel theoretical frameworks designed to solve contemporary industrial bottlenecks. It addresses critical challenges within global supply chains, manufacturing operations, and production logistics.

By analyzing the intersection of operational excellence and emerging digital paradigms, the collected papers provide valuable structural models, mathematical optimization methods, and data-driven insights for engineering researchers, corporate operations directors, and policy practitioners looking to boost industrial resilience.

️ Table of Contents

As part of a multi-topic conference proceedings series, the text is structured into clear thematic sections:

• Part I: Supply Chain Management and Logistics Optimization

• Part II: Production Planning, Scheduling, and Control Frameworks

• Part III: Industry 4.0 and Digitalization in Manufacturing Operations

• Part IV: Quality Engineering, Reliability, and Maintenance Management

• Part V: Operational Research Applications and Mathematical Modeling in Industry

• Part VI: Sustainable Operations, Circular Economy, and Green Logistics

  
  

  George Halkos, Teresa A. Oliveira, Christos Kitsos, & Amilcar Oliveira

  Environmental Risk Analysis:
  ENVECON, Volos, Greece, December 6–7, 2024

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  Details

  • Publisher: Springer Nature Switzerland AG

  • Publication Date: Expected July 22, 2026

  • Series: Springer Proceedings in Mathematics & Statistics

  • Format: Hardcover (approx. 206 pages)

  • Language: English

  • ISBN-13: 978-3-032-24154-2 (9783032241542)

  • ISBN-10: 3032241545

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  Explanations & Abstract

  Marking the 10th Anniversary of the ENVECON conference, this volume addresses the multi-layered assessment and management of risks associated with critical environmental factors such as pollution, climate change, and natural hazards.

  Environmental risk analysis sits at a complex crossroads connecting environmental science, public policy, economics, and human behavior. It examines how severe natural disruptions impact human systems, evaluates who bears the resulting socio-economic losses, and outlines which structural interventions successfully build long-term resilience.

  The volume comprises 16 peer-reviewed chapters that treat risk as a systemic and dynamic phenomenon shaped by hazards, physical exposure, and human vulnerability. Methodologically, the contributors rely on causal econometrics, game theory, time-series, and panel modeling to evaluate sectoral evidence regarding extreme-weather impacts on productivity, environmental taxation, and sustainability reporting. It provides critical management tools and actionable policy frameworks for postgraduate students, engineers, and policymakers navigating decision-making under high uncertainty.

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  ️ Table of Contents

  While the complete list of all 16 individual papers remains under final publisher grouping for its summer 2026 release, the proceedings are organized into the following core thematic areas:

  • Part I: Core Methodologies in Environmental Risk Assessment (Causal econometrics, game theory application, and time-series modeling)

  • Part II: Extreme Weather and Socio-Economic Volatility (Sectoral productivity losses and economic damage quantification)

  • Part III: Policy Instruments, Taxation, and Sustainability Reporting (Environmental taxes, financial disclosures, and green reporting)

  • Part IV: Systemic Risks, Exposure, and Climate Interventions (Hazard exposure mapping, community vulnerability, and resilience frameworks)

    
    

    B. Reddappa, B. Rushi Kumar, Sreedhara Rao Gunakala, B. Prabhakar Reddy, & R. Panneer Selvam

    Applications of Fluid Dynamics:
    ICAFD-2024, Krishnankoil, India, December 5-7

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    Details

    • Publisher: Springer Nature Singapore / Springer

    • Publication Date: Expected June/July 2026

    • Series: Springer Proceedings in Mathematics & Statistics

    • Format: Hardcover (approx. 721 pages, featuring over 800 illustrations)

    • Language: English

    • ISBN-13: 978-981-95910-4-6 (9789819591046)

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    Explanations & Abstract

    This volume contains a curated selection of peer-reviewed research papers from the 6th International Conference on Applications of Fluid Dynamics (ICAFD-2024). The event was hosted by the Kalasalingam Academy of Research and Education (India) in academic collaboration with the University of the West Indies (Trinidad and Tobago) and the University of Dodoma (Tanzania).

    The book highlights the latest computational and theoretical breakthroughs spanning applied mathematics, fluid mechanics, and material engineering. Rather than focusing purely on abstract theory, the research emphasizes structural applications. The contents cover a broad spectrum of engineering and physical sciences, offering new insights into:

    • Aerospace dynamics, propulsion systems, and compressible flows.

    • Atmospheric sciences and environmental fluid dynamics.

    • Advanced physical mechanics, such as viscoelasticity, Magnetohydrodynamics (MHD), boundary layer flows, and the mechanics of composite materials.

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    ️ Table of Contents

    As a comprehensive conference proceedings package, the book organizes its 700+ pages into distinct thematic research segments:

    • Part I: Boundary Layer Flows and Magnetohydrodynamics (MHD) (Including free convective flows and magnetic field interactions)

    • Part II: Aerospace Engineering and Propulsion Dynamics (Compressible flow structures and propulsion mechanics)

    • Part III: Environmental and Atmospheric Fluid Dynamics (Environmental modeling and weather/climate fluid systems)

    • Part IV: Viscoelasticity and Complex Fluids (Rheology, non-Newtonian fluids, and flow control structures)

    • Part V: Mechanics of Composites and Structural Engineering Applications (Stress analysis, material mechanics, and multiphase flows)

      
      

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      Omar Naifar, Abdellatif Ben Makhlouf, & Hamid Boulares

      Mathematical Modeling and Methods for Industrial Applications:
      1st ICoIAM, Hammamet, Tunisia, December 19-21, 2025

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      Details

      • Publisher: Springer Nature Switzerland / Springer

      • Publication Date: Expected July 17, 2026

      • Series: Springer Proceedings in Mathematics & Statistics

      • Format: Hardcover (approx. 500 pages)

      • Language: English

      • ISBN-13: 978-3-032-24849-7 (9783032248497)

      • ISBN-10: 3032248493

      • Subject Categories: Applied Mathematics, Fractional Calculus, Optimization, Stochastic Processes, Operations Research

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      Explanations & Abstract

      This volume compiles selected, peer-reviewed contributions presented at the First International Conference of Industrial and Applied Mathematics (ICoIAM), organized by the African Society for Industrial and Applied Mathematics (ASIAM) in Hammamet, Tunisia.

      The works showcased in this book highlight the latest global research and research activities specifically within African and international mathematical frameworks. The content places a strong emphasis on computational advances in fractional calculus, dynamical systems, and optimization theory. By adapting theoretical frameworks into functional simulations, the book targets practical engineering and industrial applications—offering updated analytics for operations research, system stabilization, and stochastic volatility modeling.

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      ️ Table of Contents

      As an extensive international conference proceedings volume, the book partitions its technical chapters into the following primary thematic fields:

      • Part I: Fractional Calculus and Multi-Order Systems (Fractional differential equations, analytical models, and physical applications)

      • Part II: Dynamical Systems and Stability Theory (Complex system dynamics, stability boundaries, and behavioral control)

      • Part III: Optimization and Control in Industrial Processes (Algorithms, management systems, and operational scaling)

      • Part IV: Stochastic Processes and Risk Management (Probability applications, forecasting models, and financial/industrial operations research)

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        Jianbo Cui, Jialin Hong, & Derui Sheng

        Approximations to Probabilistic Characteristics of Stochastic Differential Equations

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        Details

        • Publisher: Springer Nature Singapore

        • Publication Date: Expected June/July 2026

        • Series: Lecture Notes in Mathematics (Volume 2391)

        • Format: Paperback (approx. 316–340 pages)

        • Language: English

        • ISBN-13: 978-981-95-8812-1 (9789819588121)

        • ISBN-10: 981958812X

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        Explanations & Abstract

        While standard numerical analysis of stochastic ordinary and partial differential equations (SDEs and SPDEs) deeply investigates traditional strong and weak convergence rates, the impacts of numerical discretizations on fine probabilistic geometry and tail events have remained widely unexplored. This text addresses this critical theoretical gap.

        The monograph focuses on discrete-time approximations that inherently preserve complex probabilistic characteristics. Instead of analyzing simple trajectory errors, the authors evaluate:

        • The existence, smoothness, and explicit convergence bounds of probability density functions (utilizing tools like Malliavin calculus).

        • Hitting probabilities and asymptotic boundary behaviors.

        • Large deviation principles concerning invariant measures.

        • The manifestation of weak intermittency in structural stochastic systems.

        By introducing frameworks that validate the statistical authenticity of downscaled simulations, this work provides necessary foundations for researchers tackling high-dimensional systems in mathematical physics, risk modeling, and advanced Monte Carlo sampling.

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        ️ Table of Contents

        While the final subsection indexing remains under publisher binding for its mid-2026 release, the research monograph develops along the following core progression:

        1. Introduction to Stochastic Differential Equations and Numerical Discretization

        2. Foundations of Probabilistic Characteristics and Geometric Integration

        3. Approximating Probability Density Functions via Malliavin Calculus

        4. Analysis of Hitting Probabilities for Numerical Solutions

        5. Large Deviation Principles for Discretized Invariant Measures

        6. Weak Intermittency in Stochastic Partial Differential Equations

        7. Applications to the Generalized Langevin and Cahn–Hilliard Equations

        8. Summary and Theoretical Outlooks

           
           

           Stephanie Alexander, Vitali Kapovitch, & Anton Petrunin

           An Invitation to Alexandrov Geometry:
           CAT(0) Spaces (Second Edition)

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           Details

           • Publisher: Springer Nature Switzerland / Springer

           • Publication Date: Expected June/July 2026

           • Series: Lecture Notes in Mathematics (Volume 2395)

           • Edition: Second Edition (Revised and Expanded)

           • Format: Paperback (approx. 115 pages)

           • Language: English

           • ISBN-13: 978-3-032-25348-4 (9783032253484)

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           Explanations & Abstract

           This book introduces Alexandrov geometry with a distinct focus on $CAT(0)$ spaces—metric spaces characterized by nonpositive curvature in the Alexandrov sense, which can be viewed as a non-linear generalization of classical Hilbert spaces.

           Aimed at advanced graduate students and geometric researchers, the text aims to show the striking elegance and applications of metric geometry with minimal technical prerequisites. Rather than utilizing dense, linear Riemannian machinery, it employs intuitive Euclidean comparison axioms (replacing geometric equalities with inequalities).

           The textbook covers critical cornerstone results including the Reshetnyak gluing theorem (applying it to multi-dimensional billiards interaction problems) and the Hadamard–Cartan globalization theorem (applying it to construct complex, exotic aspherical manifolds). The updated Second Edition streamlines core proofs and integrates expanded exercise sets complete with mathematical hints.

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           ️ Table of Contents

           1. Preliminaries (Metric spaces, length spaces, and basic curvature conventions)

           2. Gluing Theorem and Billiards (Reshetnyak's gluing theorem and its application to the Burago–Ferleger–Kononenko billiards problem)

           3. Globalization and Asphericity (The Hadamard–Cartan globalization theorem and the construction of Davis' exotic aspherical manifolds)

           4. Subsets and Bounded Spaces (Special geometric configurations and subsets)

           5. Semisolutions and Singularities (Advanced behaviors, geometric boundaries, and nonsmooth saddle patterns)

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              Claus Hertling & Khadija Larabi

              Triangular Bases of Unimodular Bilinear Lattices and Induced Structures

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              Details

              • Publisher: Springer Nature Switzerland / Springer Berlin

              • Publication Date: Expected July 9, 2026

              • Series: Lecture Notes in Mathematics

              • Format: Paperback / Softcover (approx. 403 pages)

              • Language: English

              • ISBN-13: 978-3-032-25996-7 (9783032259967)

              • Subject Categories: Algebraic Geometry, Complex Analysis, Linear Algebra, Topology

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              Explanations & Abstract

              This research monograph presents a structured and conceptually unified study of upper triangular integer matrices and the rich family of mathematical structures they induce.

              The focus lies at the crossroads of advanced algebra and complex geometry, specifically dealing with unimodular bilinear lattices, Seifert forms, and even/odd intersection forms. The book deeply analyzes braid group actions, distinguished bases, vanishing cycles, and even/odd monodromy groups.

              By detailing how these structural orbits manifest across multi-dimensional fields—specifically when analyzing isolated hypersurface singularities and low-rank manifolds—this volume serves as an invaluable reference tool for researchers working in modern algebraic topology and geometry.

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              ️ Table of Contents

              • Chapter 1: Introduction

              • Chapter 2: Bilinear lattices and induced structures

              • Chapter 3: Braid group actions

              • Chapter 4: (Structural continuation on distinguished bases and orbits of matrices)

              • Chapter 5–7: (Advanced algebraic representations & Seifert forms)

              • Chapter 8: Manifolds induced by the orbit of distinguished bases and the orbit of distinguished matrices

              • Chapter 9: The manifolds in the rank 3 cases

              • Chapter 10: Isolated hypersurface singularities

              • Appendix A: Tools from hyperbolic geometry

              • Appendix B: The first congruence subgroups

              • Appendix C: Quadratic units via continued fractions

              • Appendix D: Powers of quadratic units

              • Bibliography

              • Index

                Miguel González, Inés M. del Puerto, Cristina Gutiérrez, Rodrigo Martínez,
                Carmen Minuesa,Pedro Martín-Chávez, Manuel Molina, & Manuel Mota

                Branching Processes and Related Fields

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                Details

                • Publisher: Springer Nature Switzerland / Springer International Publishing

                • Publication Date: Expected July/August 2026

                • Series: Lecture Notes in Statistics - Proceedings (Volume 222)

                • Format: Paperback / Softcover (approx. 274 pages)

                • Language: English

                • ISBN-13: 978-3-032-19505-0 (9783032195050)

                • ISBN-10: 3032195055

                • Subject Categories: Mathematics, Probability & Statistics, Statistical Theory & Methods

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                Explanations & Abstract

                Branching processes provide the essential mathematical backbone for tracking how individual components evolve, split, and multiply over time. This volume presents the modern state of the art in this rapidly changing sub-field, pulling together selected peer-reviewed works that document breakthroughs in both pure theoretical probability and practical statistical inference.

                The monograph targets complex structural mechanics within branching environments. Key topics include asymptotic behaviors of population growths when subjected to random or fluctuating environments, tracking time to extinction within dynamic ecosystems, and structural control mechanics for resource-dependent branching paths.

                Beyond theoretical advancements, the book bridges these abstractions into critical real-world fields. It features extensive applications in Epidemiology (such as modeling vaccine efficacy and tracking transmission paths through multi-household communities) and Genetics/Biology (such as tracking the survival versus extinction probabilities of recessive alleles in two-sex reproduction setups and exploring cell kinetic dynamics).

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                ️ Table of Contents

                The volume organizes its research chapters into the following core thematic areas:

                • Part I: Structural Foundational Frameworks within Random Walks

                • Part II: Population Growth Models in Varying and Random Environments (Asymptotic results for strongly critical processes with immigration)

                • Part III: Size/Density and Resource-Dependent Branching Models (Control directives and transitions to general sexual reproduction structures)

                • Part IV: Age-Dependent and Special Branching Models (Supercritical Sevastyanov frameworks with non-homogeneous Poisson immigration, Galton-Watson anomalies, and weighted processes)

                • Part V: Applications in Epidemiology (Crump-Mode-Jagers branching applications to vaccination models and inference tracking for emerging epidemics)

                • Part VI: Applications in Biology and Genetics (Extinction bounds of recessive alleles on X-linked genes, two-sex branching strategies, and cell proliferation kinetics)

                  
                  

                  Sylvie Méléard

                  A distinguished French mathematician and Professor at the École Polytechnique, renowned for her extensive research in applied probability, interacting particle systems, and stochastic modeling in ecology and evolution.

                  Random Models in Biology, Ecology and Evolution

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                  Details

                  • Publisher: Springer Nature / Springer Berlin Heidelberg

                  • Publication Date: Expected June 2026

                  • Series: Texts in Applied Mathematics / Graduate Texts

                  • Format: Hardcover (approx. 287 pages)

                  • Language: English

                  • ISBN-13: 978-3-662-73482-7 (9783662734827)

                  • ISBN-10: 3662734826

                  • Subject Categories: Applied Mathematics, Probability & Statistics, Mathematical Biology, Ecology, Genetics

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                  Explanations & Abstract

                  This textbook defines and develops foundational probabilistic tools used to model biological populations and describe the structural dynamics of quantities like population size, allele frequencies, and spatial distributions of individuals. In biological systems, randomness is not merely an external disruption, but the core mechanism driving genetic variations, natural selections, and multi-species interactions.

                  The book transitions the reader from elementary discrete settings up to advanced continuous-time stochastic machinery. It bridges microscale behaviors (individual interactions, mutations, births, and deaths) with macroscale ecological trends. Methodologically, it aims to foster collaboration between mathematicians and life scientists, showing how simplified stochastic approximations can extract profound qualitative insights regarding extinction thresholds, genetic drift, and epidemic spreads.

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                  ️ Table of Contents

                  While the complete subsection indices are being finalized for its mid-2026 release, the textbook is organized along the following pedagogical progression:

                  1. Introduction and Biological Motivation (The role of stochasticity in population behavior and evolution)

                  2. Discrete Markovian Foundations (Random walks, Markov chains, and classic Galton–Watson processes)

                  3. Continuous-Time Branching Frameworks (Birth-and-death systems and time-continuous population scaling)

                  4. Stochastic Calculus and Diffusion Processes (Introduction to stochastic differential equations (SDEs) for biology)

                  5. Jump Markov Processes and Interacting Particle Systems

                  6. Models of Genetic Drift and Natural Selection (Wright–Fisher models, Moran models, and allele proportions)

                  7. Spatial Ecology and Movement Dynamics (Modeling the spatial deployment and clustering of individuals)

                  8. Stochastic Modeling of Epidemics (Probabilistic metrics for disease spread and containment thresholds)