Wasswa Shafik – författare

Sustainable Agriculture: Technologies, Application, and Practices provides readers with a foundational understanding of sustainable agriculture principles alongside the cutting-edge capabilities of artificial intelligence. Structured into six well-organized sections, the book begins with foundational concepts of sustainability and the enabling technologies that support them. This includes in-depth discussions on the principles of sustainability, the role of technology in enhancing agricultural practices, and the socioeconomic impacts of sustainable farming. Subsequent chapters look into practical applications, showcasing how smart irrigation, crop monitoring, and supply chain optimization can significantly bolster sustainable operations.Each chapter provides case studies and practical strategies to ensure a thorough understanding of how artificial intelligence can revolutionize sustainable agriculture. This book serves as an essential resource for upper-level undergraduate and graduate students studying sustainable agriculture, agricultural technology, and environmental science.Examines the evolving landscape of sustainable agriculture, including its ecological, social, and economic dimensionsIntroduces the intersection of sustainable agriculture with environmental conservation and community developmentCovers the role of technological advancements in promoting sustainable agricultural practices and solving global food security challengesExplores sustainable agriculture principles and AI advancements for students and professionals in agriculture and technology fieldsIncludes PowerPoint slides that enhance learning and facilitate classroom instruction, making complex concepts more accessible

This book encompasses the development, implementation, and maintenance of socially, environmentally, and economically sustainable healthcare systems in Africa amidst the increasing utilization of disruptive technologies. This involves integrating technology, adopting sustainable practices, and effectively managing resources to ensure the long- term viability of healthcare services.Sustainable Healthcare Systems in Africa: Technologies, Practices, and Management addresses the unique challenges that Africa faces in the healthcare sector and meets the urgent need for detailed healthcare services that consider environmental, social, and economic sustainability. It tackles current challenges and opportunities, offering valuable insights that are relevant to the evolving healthcare landscape. By presenting practical examples and a solid understanding of sustainable healthcare practices, this book provides actionable guidance for healthcare professionals, policymakers, and other stakeholders. Taking a multidisciplinary approach that considers innovation, techniques, and management as a whole, this book recognizes the interconnected nature of these elements and offers a more holistic perspective on building and maintaining sustainable healthcare systems.The insights provided in this book will empower healthcare professionals, policymakers, and other stakeholders with the knowledge and tools necessary to drive positive change. It serves as a roadmap for decision-makers looking to implement lasting and impactful improvements in healthcare delivery throughout the continent.

This book encompasses the development, implementation, and maintenance of socially, environmentally, and economically sustainable healthcare systems in Africa amidst the increasing utilization of disruptive technologies. This involves integrating technology, adopting sustainable practices, and effectively managing resources to ensure the long- term viability of healthcare services.Sustainable Healthcare Systems in Africa: Technologies, Practices, and Management addresses the unique challenges that Africa faces in the healthcare sector and meets the urgent need for detailed healthcare services that consider environmental, social, and economic sustainability. It tackles current challenges and opportunities, offering valuable insights that are relevant to the evolving healthcare landscape. By presenting practical examples and a solid understanding of sustainable healthcare practices, this book provides actionable guidance for healthcare professionals, policymakers, and other stakeholders. Taking a multidisciplinary approach that considers innovation, techniques, and management as a whole, this book recognizes the interconnected nature of these elements and offers a more holistic perspective on building and maintaining sustainable healthcare systems.The insights provided in this book will empower healthcare professionals, policymakers, and other stakeholders with the knowledge and tools necessary to drive positive change. It serves as a roadmap for decision-makers looking to implement lasting and impactful improvements in healthcare delivery throughout the continent.

This book encompasses the development, implementation, and maintenance of socially, environmentally, and economically sustainable healthcare systems in Africa amidst the increasing utilization of disruptive technologies. This involves integrating technology, adopting sustainable practices, and effectively managing resources to ensure the long- term viability of healthcare services.Sustainable Healthcare Systems in Africa: Technologies, Practices, and Management addresses the unique challenges that Africa faces in the healthcare sector and meets the urgent need for detailed healthcare services that consider environmental, social, and economic sustainability. It tackles current challenges and opportunities, offering valuable insights that are relevant to the evolving healthcare landscape. By presenting practical examples and a solid understanding of sustainable healthcare practices, this book provides actionable guidance for healthcare professionals, policymakers, and other stakeholders. Taking a multidisciplinary approach that considers innovation, techniques, and management as a whole, this book recognizes the interconnected nature of these elements and offers a more holistic perspective on building and maintaining sustainable healthcare systems.The insights provided in this book will empower healthcare professionals, policymakers, and other stakeholders with the knowledge and tools necessary to drive positive change. It serves as a roadmap for decision-makers looking to implement lasting and impactful improvements in healthcare delivery throughout the continent.

This book offers an in-depth exploration of how innovative technologies are reshaping the landscape of cancer diagnosis, treatment, and care by examining the intersection of precision medicine, digital health, and disruptive scientific advances in oncology and focusing on the integration of molecular profiling, artificial intelligence, and digital health infrastructures to revolutionize cancer care. Through 21 detailed chapters, the book covers a range of cutting-edge topics, including the application of AI and deep learning in oncologic imaging, the rise of liquid biopsy techniques for non-invasive cancer detection, and the powerful synergy of radiogenomics in personalizing patient treatment. It delves into how multi-omics integration and systems biology are being leveraged to understand tumor biology better, predict disease progression, and identify novel therapeutic targets. The book also addresses the evolving role of AI in predictive modeling and decision support systems, providing clinicians with advanced tools for risk stratification and prognostic analysis. It explores the ethical and regulatory challenges of integrating digital technologies into clinical practice and offers a global perspective on the barriers to equitable access in cancer care. Designed for oncologists, researchers, data scientists, biomedical engineers, and healthcare professionals, Precision Digital Oncology bridges the gap between cutting-edge research and real-world application, providing a comprehensive, forward-looking roadmap for the future of cancer treatment. Whether you're exploring the impact of AI in cancer care or seeking insights into the future of digital health technologies, this book offers critical knowledge for anyone interested in the next generation of cancer research and therapeutic strategies.

This book offers an in-depth exploration of how innovative technologies are reshaping the landscape of cancer diagnosis, treatment, and care by examining the intersection of precision medicine, digital health, and disruptive scientific advances in oncology and focusing on the integration of molecular profiling, artificial intelligence, and digital health infrastructures to revolutionize cancer care. Through 21 detailed chapters, the book covers a range of cutting-edge topics, including the application of AI and deep learning in oncologic imaging, the rise of liquid biopsy techniques for non-invasive cancer detection, and the powerful synergy of radiogenomics in personalizing patient treatment. It delves into how multi-omics integration and systems biology are being leveraged to understand tumor biology better, predict disease progression, and identify novel therapeutic targets. The book also addresses the evolving role of AI in predictive modeling and decision support systems, providing clinicians with advanced tools for risk stratification and prognostic analysis. It explores the ethical and regulatory challenges of integrating digital technologies into clinical practice and offers a global perspective on the barriers to equitable access in cancer care. Designed for oncologists, researchers, data scientists, biomedical engineers, and healthcare professionals, Precision Digital Oncology bridges the gap between cutting-edge research and real-world application, providing a comprehensive, forward-looking roadmap for the future of cancer treatment. Whether you're exploring the impact of AI in cancer care or seeking insights into the future of digital health technologies, this book offers critical knowledge for anyone interested in the next generation of cancer research and therapeutic strategies.

This book provides a comprehensive exploration of how artificial intelligence and digital health innovations are reshaping cancer care across Africa. Beginning with the foundational epidemiological and health system realities of the continent, it examines Africa's readiness for oncology transformation and the ethical, legal, and social considerations of adopting AI in cancer diagnosis and treatment.The book presents advanced applications, from deep learning-driven imaging and precision oncology to telepathology, mobile health platforms, and digital tools for survivorship, relapse prediction, and palliative care. It further highlights strategies for scaling AI systems, strengthening rural health infrastructure, fostering public-private partnerships, and building a skilled workforce equipped for the next era of oncology.Designed as a timely resource for clinicians, cancer researchers, AI scientists, digital health innovators, public health professionals, policymakers, medical educators, and postgraduate students, this work bridges cutting-edge technology with urgent public health needs. It offers actionable frameworks, contextual adaptations for low-resource settings, and a forward-looking vision for equitable, AI-enabled cancer care in Africa. This book serves as both a guide and catalyst for sustainable, inclusive, and technologically empowered oncology systems across the continent.Wasswa Shafik (Member, IEEE) is a Computer Scientist, Information Technologist, and Educator, serving as Research Director at the Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He earned a Bachelor's degree in Information Technology from Ndejje University (Uganda), a Master's in Information Technology Engineering (Communication and Computer Networks) from Yazd University (Iran), and a PhD in Digital Science (Computer Science) from the Universiti Brunei Darussalam (Brunei Darussalam). His research focuses on developing computationally and statistically efficient models and algorithms for complex artificial intelligence and machine learning challenges to support a sustainable future. His interests span Applied AI, Deep Learning, Smart Agriculture, Computer Vision, Digital Health and Education, Ecological Informatics, and Sustainable Computing. Shafik has authored, edited, and co-edited numerous books and published extensively in peer-reviewed journals, book chapters, and IEEE international conferences. He has taught and supported academic programs in Mathematics for Data Science, Advanced Topics in Computing, Advanced Algorithms, and Systems Performance and Evaluation. His professional experience includes roles in research, data management, and leadership across organizations such as PSI, TechnoServe, and Asmaah Charity Organisation.

This book provides a comprehensive exploration of how artificial intelligence and digital health innovations are reshaping cancer care across Africa. Beginning with the foundational epidemiological and health system realities of the continent, it examines Africa's readiness for oncology transformation and the ethical, legal, and social considerations of adopting AI in cancer diagnosis and treatment.The book presents advanced applications, from deep learning-driven imaging and precision oncology to telepathology, mobile health platforms, and digital tools for survivorship, relapse prediction, and palliative care. It further highlights strategies for scaling AI systems, strengthening rural health infrastructure, fostering public-private partnerships, and building a skilled workforce equipped for the next era of oncology.Designed as a timely resource for clinicians, cancer researchers, AI scientists, digital health innovators, public health professionals, policymakers, medical educators, and postgraduate students, this work bridges cutting-edge technology with urgent public health needs. It offers actionable frameworks, contextual adaptations for low-resource settings, and a forward-looking vision for equitable, AI-enabled cancer care in Africa. This book serves as both a guide and catalyst for sustainable, inclusive, and technologically empowered oncology systems across the continent.Wasswa Shafik (Member, IEEE) is a Computer Scientist, Information Technologist, and Educator, serving as Research Director at the Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He earned a Bachelor's degree in Information Technology from Ndejje University (Uganda), a Master's in Information Technology Engineering (Communication and Computer Networks) from Yazd University (Iran), and a PhD in Digital Science (Computer Science) from the Universiti Brunei Darussalam (Brunei Darussalam). His research focuses on developing computationally and statistically efficient models and algorithms for complex artificial intelligence and machine learning challenges to support a sustainable future. His interests span Applied AI, Deep Learning, Smart Agriculture, Computer Vision, Digital Health and Education, Ecological Informatics, and Sustainable Computing. Shafik has authored, edited, and co-edited numerous books and published extensively in peer-reviewed journals, book chapters, and IEEE international conferences. He has taught and supported academic programs in Mathematics for Data Science, Advanced Topics in Computing, Advanced Algorithms, and Systems Performance and Evaluation. His professional experience includes roles in research, data management, and leadership across organizations such as PSI, TechnoServe, and Asmaah Charity Organisation.

The book provides an overview of the challenges and opportunities presented by AI across the insurance value chain. As insurers rapidly integrate machine learning, deep learning, and predictive analytics into underwriting, claims processing, fraud detection, and pricing, the need for robust ethical frameworks and responsible AI governance has become paramount. Algorithmic structures and data pipelines that shape modern insurance systems, that review potential sources of bias, opacity, and inequality are examined. The book addresses technical, legal, and organizational dimensions of ethical AI adoption-ranging from explainability and accountability mechanisms to data privacy, informed consent, and inclusion. The book serves as a foundational guide for developing AI systems in insurance that are not only efficient but also equitable and socially responsible. The book will be invaluable for professionals, scholars, data scientists, actuaries, and policymakers.Key Features: Explores cutting-edge applications of AI across underwriting, claims processing, fraud detection, and dynamic pricing in the insurance industry. Reviews the latest advances in algorithmic fairness, explainability (XAI), and bias mitigation techniques tailored to insurance models. Analyzes global regulatory and ethical frameworks, including GDPR, AI Act, and sector-specific policies, shaping responsible AI adoption. Provides real-world case studies and technical insights into building accountable, transparent, and inclusive AI systems for insurers. Equips practitioners, data scientists, and policymakers with strategic tools to design, govern, and audit ethical AI in insurance operations.

The book provides an overview of the challenges and opportunities presented by AI across the insurance value chain. As insurers rapidly integrate machine learning, deep learning, and predictive analytics into underwriting, claims processing, fraud detection, and pricing, the need for robust ethical frameworks and responsible AI governance has become paramount. Algorithmic structures and data pipelines that shape modern insurance systems, that review potential sources of bias, opacity, and inequality are examined. The book addresses technical, legal, and organizational dimensions of ethical AI adoption-ranging from explainability and accountability mechanisms to data privacy, informed consent, and inclusion. The book serves as a foundational guide for developing AI systems in insurance that are not only efficient but also equitable and socially responsible. The book will be invaluable for professionals, scholars, data scientists, actuaries, and policymakers.Key Features: Explores cutting-edge applications of AI across underwriting, claims processing, fraud detection, and dynamic pricing in the insurance industry. Reviews the latest advances in algorithmic fairness, explainability (XAI), and bias mitigation techniques tailored to insurance models. Analyzes global regulatory and ethical frameworks, including GDPR, AI Act, and sector-specific policies, shaping responsible AI adoption. Provides real-world case studies and technical insights into building accountable, transparent, and inclusive AI systems for insurers. Equips practitioners, data scientists, and policymakers with strategic tools to design, govern, and audit ethical AI in insurance operations.

This book offers an in-depth exploration of how innovative technologies are reshaping the landscape of cancer diagnosis, treatment, and care by examining the intersection of precision medicine, digital health, and disruptive scientific advances in oncology and focusing on the integration of molecular profiling, artificial intelligence, and digital health infrastructures to revolutionize cancer care. Through 21 detailed chapters, the book covers a range of cutting-edge topics, including the application of AI and deep learning in oncologic imaging, the rise of liquid biopsy techniques for non-invasive cancer detection, and the powerful synergy of radiogenomics in personalizing patient treatment. It delves into how multi-omics integration and systems biology are being leveraged to understand tumor biology better, predict disease progression, and identify novel therapeutic targets. The book also addresses the evolving role of AI in predictive modeling and decision support systems, providing clinicians with advanced tools for risk stratification and prognostic analysis. It explores the ethical and regulatory challenges of integrating digital technologies into clinical practice and offers a global perspective on the barriers to equitable access in cancer care. Designed for oncologists, researchers, data scientists, biomedical engineers, and healthcare professionals, Precision Digital Oncology bridges the gap between cutting-edge research and real-world application, providing a comprehensive, forward-looking roadmap for the future of cancer treatment. Whether you're exploring the impact of AI in cancer care or seeking insights into the future of digital health technologies, this book offers critical knowledge for anyone interested in the next generation of cancer research and therapeutic strategies.

The book is an essential resource for PhD students and early-career researchers striving to navigate the intense pressures of academic life without compromising their mental health or long-term well-being. It offers a structured and compassionate roadmap for managing the psychological, emotional, and practical challenges of doctoral research, providing science-based strategies for stress reduction, emotional resilience, and sustainable work-life balance.Doctoral research presents complex cognitive, emotional, and psychosocial challenges that can impede scholarly productivity and well-being. This book provides a research-informed context for managing these stressors, integrating evidence-based strategies to optimize mental health, resilience, and sustained intellectual engagement throughout the PhD journey. This book integrates evidence-based strategies and interdisciplinary insights to enhance psychological well-being, resilience, and sustained scholarly productivity across the doctoral research trajectory.The book systematically examines the multidimensional stressors faced by doctoral candidates, including cognitive overload, research uncertainty, imposter phenomenon, and social isolation. It integrates findings from psychology, neuroscience, and higher education research to propose structured strategies for stress regulation, time optimization, and adaptive coping mechanisms. Core topics include cognitive-behavioral techniques for managing anxiety and procrastination, mindfulness and metacognitive interventions to enhance focus and motivation, and evidence-based approaches for building mentorship networks and collaborative support systems. The book presents actionable protocols to mitigate burnout, enhance decision-making under pressure, and sustain long-term intellectual engagement.

The book is an essential resource for PhD students and early-career researchers striving to navigate the intense pressures of academic life without compromising their mental health or long-term well-being.Doctoral research often entails sustained cognitive demands, high uncertainty, and significant emotional stress, posing challenges to both professional performance and personal well-being. This book provides a systematic, evidence-based framework for achieving work-life integration and promoting long-term psychological resilience across the PhD journey.It explores the multidimensional pressures affecting doctoral candidates, including research complexity, impostor phenomenon, social isolation, and time-management constraints. Drawing on contemporary research in psychology, neuroscience, and higher education, the text presents advanced strategies for maintaining mental health, optimizing productivity, and balancing academic obligations with personal life. Key areas include cognitive-behavioural interventions for stress and procrastination, mindfulness and metacognitive approaches to enhance focus and motivation, structured methods for building mentorship and peer support networks, and evidence-informed techniques to prevent burnout. Empirical case studies, analytical frameworks, and applied exercises provide actionable guidance for sustaining long-term well-being while achieving research excellence.The book is intended for pre- and doctoral candidates, postdoctoral researchers, and graduate-level educators seeking advanced strategies for integrating work and life effectively while promoting mental health and cognitive resilience. Academic mentors and institutional administrators will also find evidence-based guidance for supporting sustainable doctoral research.

The book is an essential resource for PhD students and early-career researchers striving to navigate the intense pressures of academic life without compromising their mental health or long-term well-being. It offers a structured and compassionate roadmap for managing the psychological, emotional, and practical challenges of doctoral research, providing science-based strategies for stress reduction, emotional resilience, and sustainable work-life balance.Doctoral research presents complex cognitive, emotional, and psychosocial challenges that can impede scholarly productivity and well-being. This book provides a research-informed context for managing these stressors, integrating evidence-based strategies to optimize mental health, resilience, and sustained intellectual engagement throughout the PhD journey. This book integrates evidence-based strategies and interdisciplinary insights to enhance psychological well-being, resilience, and sustained scholarly productivity across the doctoral research trajectory.The book systematically examines the multidimensional stressors faced by doctoral candidates, including cognitive overload, research uncertainty, imposter phenomenon, and social isolation. It integrates findings from psychology, neuroscience, and higher education research to propose structured strategies for stress regulation, time optimization, and adaptive coping mechanisms. Core topics include cognitive-behavioral techniques for managing anxiety and procrastination, mindfulness and metacognitive interventions to enhance focus and motivation, and evidence-based approaches for building mentorship networks and collaborative support systems. The book presents actionable protocols to mitigate burnout, enhance decision-making under pressure, and sustain long-term intellectual engagement.

The book is an essential resource for PhD students and early-career researchers striving to navigate the intense pressures of academic life without compromising their mental health or long-term well-being.Doctoral research often entails sustained cognitive demands, high uncertainty, and significant emotional stress, posing challenges to both professional performance and personal well-being. This book provides a systematic, evidence-based framework for achieving work-life integration and promoting long-term psychological resilience across the PhD journey.It explores the multidimensional pressures affecting doctoral candidates, including research complexity, impostor phenomenon, social isolation, and time-management constraints. Drawing on contemporary research in psychology, neuroscience, and higher education, the text presents advanced strategies for maintaining mental health, optimizing productivity, and balancing academic obligations with personal life. Key areas include cognitive-behavioural interventions for stress and procrastination, mindfulness and metacognitive approaches to enhance focus and motivation, structured methods for building mentorship and peer support networks, and evidence-informed techniques to prevent burnout. Empirical case studies, analytical frameworks, and applied exercises provide actionable guidance for sustaining long-term well-being while achieving research excellence.The book is intended for pre- and doctoral candidates, postdoctoral researchers, and graduate-level educators seeking advanced strategies for integrating work and life effectively while promoting mental health and cognitive resilience. Academic mentors and institutional administrators will also find evidence-based guidance for supporting sustainable doctoral research.

The book provides an overview of the challenges and opportunities presented by AI across the insurance value chain. As insurers rapidly integrate machine learning, deep learning, and predictive analytics into underwriting, claims processing, fraud detection, and pricing, the need for robust ethical frameworks and responsible AI governance has become paramount. Algorithmic structures and data pipelines that shape modern insurance systems, that review potential sources of bias, opacity, and inequality are examined. The book addresses technical, legal, and organizational dimensions of ethical AI adoption—ranging from explainability and accountability mechanisms to data privacy, informed consent, and inclusion. The book serves as a foundational guide for developing AI systems in insurance that are not only efficient but also equitable and socially responsible. The book will be invaluable for professionals, scholars, data scientists, actuaries, and policymakers.Key Features:Explores cutting-edge applications of AI across underwriting, claims processing, fraud detection, and dynamic pricing in the insurance industry.Reviews the latest advances in algorithmic fairness, explainability (XAI), and bias mitigation techniques tailored to insurance models.Analyzes global regulatory and ethical frameworks, including GDPR, AI Act, and sector-specific policies, shaping responsible AI adoption.Provides real-world case studies and technical insights into building accountable, transparent, and inclusive AI systems for insurers.Equips practitioners, data scientists, and policymakers with strategic tools to design, govern, and audit ethical AI in insurance operations.

This book provides a descriptive overview of blockchain technology domain, we observe a transformative influence that has surpassed its initial application in Bitcoin and has permeated nearly all industries.  The utilisation of distributed ledger technology presents a significant transformation in the realm of data management, trust, and transparency.  Its impact extends beyond financial transactions and encompasses other domains like supply chain optimization, identity verification, and the development of decentralized apps.  The process of transformation has been initiated in various industries, including finance, healthcare, and logistics.In contrast, there is a notable increase in the adoption of the smart circular economy frameworks as a response to the heightened acknowledgment of the environmental and resource-related obstacles linked to the traditional linear paradigm of "extract, produce, discard." The primary objective of the circular economy is to limit the generation of waste, advance sustainable product design, and promote responsible resource utilization through the facilitation of recycling, remanufacturing, and the prolongation of product lifespans.  This movement holds significance for various industries, including manufacturing, waste management, and sustainable consumerism, due to its wide-ranging ramifications.Its unique characteristic is its capacity to connect these two realms, emphasizing the potential of blockchain technology in facilitating transparent data management and smart contracts to advance the concepts of the circular economy.  The book offers a thorough examination of the topic, offering readers a grasp of the fundamental principles of blockchain as well as the dynamic field of sustainability.  This renders it an indispensable reference for individuals interested in the interdisciplinary ramifications of technology on sustainability, and the transformative possibilities of blockchain within the realm of resource-efficient and environmentally conscious approaches.  The book exemplifies a progressive perspective by demonstrating the significant role that inventive technology can assume in tackling the urgent issues of our era, revolutionising sectors, and influencing the trajectory of a more circular and environmentally conscious global society.

This book provides a descriptive overview of blockchain technology domain, we observe a transformative influence that has surpassed its initial application in Bitcoin and has permeated nearly all industries.  The utilisation of distributed ledger technology presents a significant transformation in the realm of data management, trust, and transparency.  Its impact extends beyond financial transactions and encompasses other domains like supply chain optimization, identity verification, and the development of decentralized apps.  The process of transformation has been initiated in various industries, including finance, healthcare, and logistics.In contrast, there is a notable increase in the adoption of the smart circular economy frameworks as a response to the heightened acknowledgment of the environmental and resource-related obstacles linked to the traditional linear paradigm of "e;extract, produce, discard."e; The primary objective of the circular economy is to limit the generation of waste, advance sustainable product design, and promote responsible resource utilization through the facilitation of recycling, remanufacturing, and the prolongation of product lifespans.  This movement holds significance for various industries, including manufacturing, waste management, and sustainable consumerism, due to its wide-ranging ramifications.Its unique characteristic is its capacity to connect these two realms, emphasizing the potential of blockchain technology in facilitating transparent data management and smart contracts to advance the concepts of the circular economy.  The book offers a thorough examination of the topic, offering readers a grasp of the fundamental principles of blockchain as well as the dynamic field of sustainability.  This renders it an indispensable reference for individuals interested in the interdisciplinary ramifications of technology on sustainability, and the transformative possibilities of blockchain within the realm of resource-efficient and environmentally conscious approaches.  The book exemplifies a progressive perspective by demonstrating the significant role that inventive technology can assume in tackling the urgent issues of our era, revolutionising sectors, and influencing the trajectory of a more circular and environmentally conscious global society.

This book introduces a novel integration of Federated Learning with the vision of Healthcare 5.0 to enable secure, adaptive, and intelligent health systems. It presents cutting-edge frameworks that support decentralized model training across medical institutions while preserving patient privacy and ensuring compliance with data regulations.Focusing on real-world use cases, such as predictive diagnostics, edge-based patient monitoring, personalized medicine, and surgical robotics, it bridges theoretical advances with practical implementations. This book provides deep insights into the design of scalable, privacy-preserving artificial intelligence infrastructures suited for cross-institutional collaboration.It is designed for artificial intelligence researchers, digital health architects, healthcare technologists, and policy advisors. This supports the development of human-centric, resilient, and interoperable smart healthcare ecosystems.

This book introduces a novel integration of Federated Learning with the vision of Healthcare 5.0 to enable secure, adaptive, and intelligent health systems. It presents cutting-edge frameworks that support decentralized model training across medical institutions while preserving patient privacy and ensuring compliance with data regulations.Focusing on real-world use cases, such as predictive diagnostics, edge-based patient monitoring, personalized medicine, and surgical robotics, it bridges theoretical advances with practical implementations. This book provides deep insights into the design of scalable, privacy-preserving artificial intelligence infrastructures suited for cross-institutional collaboration.It is designed for artificial intelligence researchers, digital health architects, healthcare technologists, and policy advisors. This supports the development of human-centric, resilient, and interoperable smart healthcare ecosystems.

This book addresses how the growth of AI could undermine fundamental human values such as privacy, security, employment, and democracy. It emphasizes the critical challenges that arise when artificial inteligence technologies operate without proper ethical oversight or regulation. Key topics include AI's potential for surveillance, the manipulation of media through deepfakes, autonomous weapons, and job displacement, as well as the growing concerns around algorithmic biases that may perpetuate social inequalities and harm marginalized communities. It offers insights into how AI can be integrated into society responsibly, while addressing the potential dangers that could threaten our future, making it relevant for those seeking to understand both the promise and peril of emerging AI technologies.

This book addresses how the growth of AI could undermine fundamental human values such as privacy, security, employment, and democracy. It emphasizes the critical challenges that arise when artificial inteligence technologies operate without proper ethical oversight or regulation. Key topics include AI's potential for surveillance, the manipulation of media through deepfakes, autonomous weapons, and job displacement, as well as the growing concerns around algorithmic biases that may perpetuate social inequalities and harm marginalized communities. It offers insights into how AI can be integrated into society responsibly, while addressing the potential dangers that could threaten our future, making it relevant for those seeking to understand both the promise and peril of emerging AI technologies.

This textbook provides a comprehensive and structured approach to technology-driven green growth, integrating advanced digital tools with sustainability strategies to optimize environmental development through economic and social outcomes. It covers areas such as artificial intelligence, Internet of Things, digital twins, renewable energy systems, and circular economy models, demonstrating how these technologies can be applied to enhance resource efficiency, reduce emissions, and strengthen resilient ecosystems.Designed around three thematic parts, such as foundations, technological innovations, and social inclusion, the textbook combines theoretical concepts with practical applications. Case studies on smart cities, sustainable food systems, industrial decarbonization, and biodiversity conservation enable students to link academic knowledge with real-world sustainability challenges. Book review exercises, advanced exercises, and discussion prompts foster critical thinking and problem-solving skills.Intended for advanced undergraduate and graduate students, educators, and sustainability professionals, this textbook can serve as a main textbook, resource, and practical reference. It supports curriculum development, guided learning, and applied projects, and provides the knowledge and tools necessary to understand, analyze, and implement inclusive, scalable, and technology-driven solutions for green growth.

This textbook provides a comprehensive and structured approach to technology-driven green growth, integrating advanced digital tools with sustainability strategies to optimize environmental development through economic and social outcomes. It covers areas such as artificial intelligence, Internet of Things, digital twins, renewable energy systems, and circular economy models, demonstrating how these technologies can be applied to enhance resource efficiency, reduce emissions, and strengthen resilient ecosystems.Designed around three thematic parts, such as foundations, technological innovations, and social inclusion, the textbook combines theoretical concepts with practical applications. Case studies on smart cities, sustainable food systems, industrial decarbonization, and biodiversity conservation enable students to link academic knowledge with real-world sustainability challenges. Book review exercises, advanced exercises, and discussion prompts foster critical thinking and problem-solving skills.Intended for advanced undergraduate and graduate students, educators, and sustainability professionals, this textbook can serve as a main textbook, resource, and practical reference. It supports curriculum development, guided learning, and applied projects, and provides the knowledge and tools necessary to understand, analyze, and implement inclusive, scalable, and technology-driven solutions for green growth.

This book provides a comprehensive exploration of inclusive, sustainable development, emphasizing the critical need to integrate the perspectives and needs of people with disabilities and marginalized communities into the global sustainability transition to a sustainable future. Through highlighting the intersectionality of identity and the unique challenges faced by these groups, the book addresses a pressing issue: the often-overlooked barriers that hinder their full participation in sustainable transitions. Organized into three parts, the book first contextualizes the relationship between sustainability and inclusion. It delves into the historical and theoretical frameworks that shape our understanding of marginalization, exploring how disability intersects with various social identities. This foundation sets the stage for an in-depth analysis of the United Nations Sustainable Development Goals (SDGs) and the ways in which they can be made more inclusive, ensuring that no one is left behind. The second part identifies and examines the myriad barriers to inclusion within sustainable practices. It addresses structural, socioeconomic, and cultural obstacles that perpetuate exclusion while also critiquing existing policy frameworks for their limitations in addressing the needs of marginalized populations. Through case studies, the book highlights successful initiatives and innovative practices that promote accessibility and equity, mainly through the use of assistive technologies and community engagement. In the final section, the book outlines actionable strategies for fostering inclusive, sustainable development. It emphasizes the importance of community engagement, participatory decision-making, and the empowerment of marginalized voices. Additionally, it discusses metrics for monitoring and evaluating the impact of sustainability initiatives on people with disabilities, providing a framework for accountability and continuous improvement.This book aims to bridge the gap between sustainability and social justice, offering a roadmap for stakeholders, policymakers, and practitioners committed to creating a more inclusive world.  This book targets academics, policymakers, non-profit societies, and activists working at the intersection of sustainability and social equity and serves as a vital resource for those seeking to understand and promote inclusive practices in the global sustainable transition.

This book explores the critical role of technology in advancing the United Nations' 2030 Agenda for Sustainable Development. With the world facing pressing challenges like climate change, poverty, and environmental degradation, innovations such as artificial intelligence, big data, the Internet of Things, blockchain, and renewable energy are increasingly shaping global efforts to achieve the Sustainable Development Goals (SDGs).The book examines how these technologies are transforming key sectors, from agriculture and healthcare to energy and education, offering practical solutions to complex global problems. By focusing on each SDG, it provides a thorough look at how technological advancements are being applied to drive sustainable development. Through real-world case studies, the book discusses the practical challenges of scaling and financing these technologies while highlighting the importance of governance, policy, and international cooperation in their success. It also explores how governments, businesses, and global institutions can leverage these innovations to build more resilient and inclusive societies.This book is intended for scholars, policymakers, entrepreneurs, and professionals in sustainability who are seeking a deeper understanding of how technology can be integrated into strategies for achieving the SDGs. As the 2030 deadline approaches, it also offers insights into future trends and emerging technologies that will shape a more sustainable and equitable world in the years to come.