In recent years, the rapid advancement of technology has revolutionized various sectors, including smart systems, energy, materials, and manufacturing. The convergence of the Internet of Things (IoT), Artificial Intelligence (AI), and Edge Intelligence has unleashed unprecedented potential, paving the way for innovative solutions that drive efficiency, sustainability, and economic growth. This book, "Advancing Innovation in Smart Systems, Energy, Materials, and Manufacturing: Unleashing the Potential of IoT, AI, and Edge Intelligence," is a testament to the transformative power of these technologies and their critical role in shaping the future. The genesis of this book lies in the growing recognition that traditional approaches to system design, energy management, materials science, and manufacturing are becoming increasingly inadequate in addressing the complex challenges of the modern world. As industries strive to enhance performance while reducing their environmental footprint, there is an urgent and compelling need for integrating smart technologies that can provide real-time insights, predictive capabilities, and adaptive responses. This integration not only optimizes processes but also drives innovation, leading to the creation of smarter, more resilient systems. Our exploration begins with an in-depth examination of IoT, a cornerstone of modern smart systems. IoT connects devices, systems, and services, enabling them to communicate and collaborate seamlessly. This connectivity facilitates collecting and analysing vast amounts of data, which can be harnessed to improve decision-making and operational efficiency. By embedding IoT into smart systems, we can create environments that are more responsive, adaptive, and efficient. Artificial Intelligence, another pivotal technology, brings a new dimension to smart systems. AI's ability to analyze data, recognize patterns, and make decisions allows for more intelligent and autonomous systems. In the context of energy, materials, and manufacturing, AI-driven solutions can predict maintenance needs, optimize resource allocation, and enhance product quality. This book delves into the ways AI can be leveraged to transform these sectors, highlighting both the opportunities and the challenges. Edge Intelligence, the practice of processing data closer to its source, complements IoT and AI by reducing latency and improving real-time decision-making. In manufacturing, for instance, edge intelligence can enable more responsive control systems that enhance production efficiency and product quality. In energy management, it can lead to smarter grids that balance supply and demand more effectively. The interplay of IoT, AI, and Edge Intelligence creates a powerful trifecta that is set to redefine the landscape of smart systems. Throughout this book, we have brought together insights from leading experts and practitioners across various fields. Their contributions reflect the latest research, innovative applications, and emerging trends in smart systems, energy, materials, and manufacturing. By showcasing real-world examples and case studies, we aim to provide a comprehensive understanding of how these technologies can be applied to address real-world challenges. I hope this book serves as a valuable and indispensable resource for researchers, engineers, policymakers, and anyone interested in the future of smart systems and technology. As we navigate the complexities of the modern world, it is imperative that we embrace innovation and leverage the full potential of IoT, AI, and Edge Intelligence. Together, we can build a future that is not only smarter and more efficient but also more sustainable and resilient