Harvinder Singh – författare

This book presents a comprehensive exploration of cutting-edge research and innovations driving sustainability across energy, environment, materials, and intelligent systems. Bringing together multidisciplinary perspectives, the book highlights how advanced physics, chemistry, artificial intelligence, data science, and manufacturing technologies are shaping a greener, more resilient future.The book is organized into thematic tracks covering energy conversion and storage, environmental and atmospheric physics, green and sustainable chemistry, materials chemistry for energy and environment, mathematical modeling and simulation, data science, AI and IoT for sustainability, and advanced manufacturing. It features state-of-the-art studies on renewable energy systems, smart grids, climate and environmental monitoring, sustainable materials and composites, green nanotechnology, and next-generation coatings. Significant emphasis is placed on AI-driven modeling, machine learning, digital twins, and IoT frameworks for optimizing resource use, enhancing healthcare, agriculture, cybersecurity, and smart infrastructure. The contributions collectively demonstrate how computational intelligence and advanced materials enable efficient energy management, environmental protection, and circular-economy practices, supported by experimental, analytical, and simulation-based findings.This book is intended for researchers, academicians, postgraduate students, and industry professionals working in sustainability, energy systems, materials science, environmental engineering, artificial intelligence, and applied computational sciences, as well as policymakers seeking research-driven insights for sustainable development.

This book presents a comprehensive exploration of cutting-edge research and innovations driving sustainability across energy, environment, materials, and intelligent systems. Bringing together multidisciplinary perspectives, the book highlights how advanced physics, chemistry, artificial intelligence, data science, and manufacturing technologies are shaping a greener, more resilient future.The book is organized into thematic tracks covering energy conversion and storage, environmental and atmospheric physics, green and sustainable chemistry, materials chemistry for energy and environment, mathematical modeling and simulation, data science, AI and IoT for sustainability, and advanced manufacturing. It features state-of-the-art studies on renewable energy systems, smart grids, climate and environmental monitoring, sustainable materials and composites, green nanotechnology, and next-generation coatings. Significant emphasis is placed on AI-driven modeling, machine learning, digital twins, and IoT frameworks for optimizing resource use, enhancing healthcare, agriculture, cybersecurity, and smart infrastructure. The contributions collectively demonstrate how computational intelligence and advanced materials enable efficient energy management, environmental protection, and circular-economy practices, supported by experimental, analytical, and simulation-based findings.This book is intended for researchers, academicians, postgraduate students, and industry professionals working in sustainability, energy systems, materials science, environmental engineering, artificial intelligence, and applied computational sciences, as well as policymakers seeking research-driven insights for sustainable development.

This book describes the latest advances, innovations and applications in the field of waste management and environmental geomechanics as presented by leading researchers, engineers and practitioners at the International Conference on Sustainable Waste Management through Design (IC_SWMD), held in Ludhiana (Punjab), India on November 2-3, 2018. Providing a unique overview of new directions, and opportunities for sustainable and resilient design approaches to protect infrastructure and the environment, it discusses diverse topics related to civil engineering and construction aspects of the resource management cycle, from the minimization of waste, through the eco-friendly re-use and processing of waste materials, the management and disposal of residual wastes, to water treatments and technologies. It also encompasses strategies for reducing construction waste through better design, improved recovery, re-use, more efficient resource management and the performance of materials recoveredfrom wastes. The contributions were selected by means of a rigorous peer-review process and highlight many exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different waste management specialists.

This book describes the latest advances, innovations and applications in the field of waste management and environmental geomechanics as presented by leading researchers, engineers and practitioners at the International Conference on Sustainable Waste Management through Design (IC_SWMD), held in Ludhiana (Punjab), India on November 2-3, 2018.

This book discusses design aspects of steel fiber-reinforced concrete (SFRC) members, including the behavior of the SFRC and its modeling.

This book discusses design aspects of steel fiber-reinforced concrete (SFRC) members, including the behavior of the SFRC and its modeling.

This book comprises select peer-reviewed papers presented at the International Conference on Sustainable Development through Engineering Innovations (SDEI) 2020.

This book comprises select peer-reviewed papers presented at the International Conference on Sustainable Development through Engineering Innovations (SDEI) 2020.

The book gradually builds the concept of materials and the principles of material classifications and their response to different physical disturbances, and finally, about the selection methods based upon the test results of the standard methods to choose appropriate materials for various engineering applications.

The book gradually builds the concept of materials and the principles of material classifications and their response to different physical disturbances, and finally, about the selection methods based upon the test results of the standard methods to choose appropriate materials for various engineering applications.