Mathematical modeling stands at the heart of scientific discovery and engineering innovation. It serves as a powerful tool to interpret real-world phenomena, solve complex problems, and drive technological progress. This book, Mathematical Modeling: Applications in Science and Engineering, is a collaborative endeavor involving experts from various disciplines, all unified by a common vision—to demonstrate the versatility and impact of mathematical models across diverse scientific and engineering domains. The aim of this multi-author volume is to provide readers with both theoretical foundations and practical insights into the construction, analysis, and application of mathematical models. Each chapter explores distinct topics ranging from physical systems and biological processes to environmental studies, computational simulations, and engineering design—highlighting how mathematics can bridge the gap between abstract theory and real-world practice. What distinguishes this book is the diverse academic and professional backgrounds of its contributors. By bringing together mathematicians, scientists, and engineers, we offer a broad spectrum of modeling approaches and methodologies. This diversity not only enriches the content but also reflects the interdisciplinary nature of modern research and problem-solving. This book is intended for undergraduate and postgraduate students, educators, researchers, and industry professionals who seek to understand or apply mathematical modeling in their work. Whether used as a textbook, a reference, or a guide for project-based learning, it offers a balanced combination of conceptual clarity, technical depth, and practical relevance. We, the editors, sincerely thank all contributing authors for their scholarly dedication and insightful contributions. We also acknowledge the support of reviewers, institutions, and publishing professionals who played a crucial role in shaping this volume. It is our hope that this book inspires further exploration, fosters interdisciplinary collaboration, and underscores the indispensable role of mathematics in advancing science and engineering.