Albert Camus

1. Tom Mustill

How to Speak Whale

‘Fascinating’ Greta Thunberg ‘Extraordinary’ Merlin Sheldrake ‘A must-read’ New Scientist ‘Enthralling’ George Monbiot ‘Brilliant’ Philip Hoare

1. Mustafa Sultan

Next Wave of AI

Affective Computing for Social Good

Industry 4.0 and Sustainability

Dr. Muhammad Imran Khan is a Full Professor in the College of Engineering at Prince Mohammad Bin Fahd University in Saudi Arabia. He obtained his PhD in Energy and Environmental Engineering from the University of Reading, UK. Dr. Khan has over 16 years of experience across industry, research, and academia related to engineering operations, energy systems, and sustainable development. His research utilizes an applied, interdisciplinary approach integrating engineering, economics, and policy to advance low carbon energy systems and sustainability. Dr. Khan has published over 100 peer-reviewed articles, 15 of which are Highly Cited Papers ranking in the top 1% in their field. His Google Scholar h-index stands at 51 with over 6500 citations. He is among the top 0.3% of influential scientists worldwide according to Stanford University's global scientist ranking. Dr. Khan has received numerous honors and awards recognizing his contributions to energy and sustainability, including the Energy Engineer of the Year from the US Association of Energy Engineers. Dr. Khan serves as an Associate Editor for three Elsevier journals including: Sustainable Futures (https://www.sciencedirect.com/journal/sustainable-futures); Energy Research & Social Science (https://www.sciencedirect.com/journal/energy-research-and-social?science); Process Safety and Environmental Protection (https://www.sciencedirect.com/journal/process-safety-and-environmental?protection) and has been guest editor for special issues in several leading journals. Dr. Khan is an elected Fellow of institutions such as the Institution of Mechanical Engineers (IMechE), UK, Institution of Engineering and Technology (IET), UK, Engineers Australia, Pakistan Academy of Engineering, Australian Institute of Energy, Australia, and Instition of Gas Engineers and Manager (IGEM), UK. He is also a Chartered/Professional Engineer registered with the national Engineering Councils in UK, Ireland and Australia. With his extensive research background situated at the nexus of Industry 4.0, energy systems, and sustainability, Dr. Khan will bring valuable expertise and leadership as editor of this timely book. His experience publishing high?impact interdisciplinary research will ensure the book integrates technological, organizational, and policy dimensions through an evidence-based approach. Dr. Khan's vision is for the book to stimulate debate and innovation in leveraging Industry 4.0 to accelerate the transition towards sustainable and just digital manufacturing futures. Dr. Sami G. Al-Ghamdi is an Associate Professor of Sustainability and Climate Change at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. He obtained his PhD in Environmental Engineering from the University of Pittsburgh, USA. Dr. Al-Ghamdi's research focuses on the complexities of the built environment, including the intersections of climate change, energy systems, water resources, and sustainability. He utilizes a multidisciplinary approach spanning engineering, environmental sciences, economics, and policy. Dr. Al-Ghamdi has published over 130 peer-reviewed papers and serves as an Associate Editor for Frontiers in Sustainability. Dr. Al-Ghamdi has extensive experience conducting life cycle assessment of technologies and systems. His work examines the sustainability implications of major infrastructure like desalination plants, buildings, transportation, and renewable energy. As an expert on climate change and resiliency issues facing the Middle East, he provides crucial regional context regarding sustainability challenges and pathways. With his background in studying sustainability science and environmental life cycle analysis, Dr. Al-Ghamdi will provide important insights into assessing Industry 4.0 technologies from a sustainability perspective. His specialized expertise will inform integrative strategies to leverage advanced manufacturing for energy and resource efficiency while considering regional climate change impacts. Dr. Al-Ghamdi aims to synthesize perspectives from engineering, environmental science, and policy domains to develop actionable frameworks for Industry 4.0 sustainability. Dr. Mushtaq Khan is a Professor in the Mechanical Engineering Department at Prince Mohammad Bin Fahd University, Saudi Arabia. He obtained his PhD in Additive Manufacturing from Loughborough University, UK followed by Post-Doc at University of Manchester, UK. Dr. Khan has over 15 years of research and teaching experience related to advanced manufacturing technologies, additive manufacturing, laser processing, and Industry 4.0. His research utilizes an interdisciplinary approach combining engineering design, materials science, and manufacturing processes. Dr. Khan has published over 50 papers in leading journals, including Rapid Prototyping Journal, Journal of Materials Processing Technology, and Lasers in Engineering. He has also presented his work at major international conferences like IMechE and ASME. Dr. Khan has worked extensively with state-of-the-art additive manufacturing technologies like Selective Laser Melting, Laser Cladding, and 3D Printing. As an academic researcher, he has been engaged in multiple externally funded projects related to advanced manufacturing, lightweight materials, and process optimization. Dr. Khan also has industry exposure, having worked on industrial research projects and professional training programs. With his in-depth expertise in additive manufacturing and familiarity with Industry 4.0 technologies, Dr. Khan will make significant contributions as a co-editor for this timely book. His specialized perspective on leveraging advanced manufacturing methods for sustainability outcomes will add value to the book. Dr. Khan is keen to synthesize cross-disciplinary insights shaping the future of smart, sustainable manufacturing.

Natural Language Processing and Information Retrieval

This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering.

Affective Computing for Social Good

Affective Computing for Social Good: Enhancing Well-being, Empathy, and Equity offers an insightful journey into the intricate realm of affective computing. It covers a spectrum of topics ranging from foundational theories and technologies to ethical considerations and future possibilities.Beginning with "Deciphering the Emotional Spectrum: Advances in Emotion Science and Analysis," it sets the stage by tracing the evolution of understanding human emotions. Subsequent chapters explore practical applications, such as integrating clinical psychology with affective computing for therapeutic progress and leveraging affective computing in diagnosing and managing mood disorders more efficiently.As the narrative unfolds, the book emphasizes the crucial role of affective computing in fostering social justice and equity. It underscores the need for developing inclusive algorithms and databases while addressing ethical challenges like privacy, consent, and the risk of emotional manipulation. These discussions emphasize the significance of ethical deployment and regulation.The book also covers the technical aspects and applications of affective computing, including natural language processing for emotion recognition and analysis, voice emotion detection, and visual emotion recognition. It extends to applications, such as the use of affective computing in health management via recommender systems and personalized well-being interventions in mental health care.Addressing data challenges, "Enhancing Affective Computing with Data Augmentation: Strategies for Overcoming Limited Data Availability" presents solutions for imbalances affecting model performance. "Advancements in Multimodal Emotion Recognition" highlights the integration of facial expressions with physiological signals to improve emotion recognition accuracy and reliability.Concluding with "Ethical Considerations in Affective Computing" and "Cognitive Currents: A Path from Neuroscience to Consciousness," the book connects technical advancements in affective computing with broader ethical and philosophical inquiries surrounding consciousness and the human experience.Features: Helps readers understand the potential benefits of emotionally intelligent AI systems, such as improving mental health care, enhancing education, or promoting more ethical decision-making. Addresses ethical considerations related to the development and deployment of emotionally intelligent AI systems, helping readers to become more aware of the potential risks and trade-offs involved. Presents new approaches or frameworks for developing emotionally intelligent AI systems, providing readers with innovative ideas and perspectives. Provides examples of successful case studies where emotionally intelligent AI systems were used for social good, which may inspire readers to think about how they can contribute to society through AI development.Overall, this book will help readers gain a deeper understanding of the intersection between AI and human emotions, and how this technology can be used to create a more empathetic, compassionate, and socially responsible world.