CHITHIRAI PON Selvan – författare

Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and machine learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures.Artificial Intelligence Solutions for Cyber-Physical Systems discusses such best practices and frameworks as NIST Cybersecurity Framework, ISO/IEC 27001, and IEC 62443 of advanced technologies. It presents strategies and methods to mitigate risks and enhance security, including cybersecurity frameworks, secure communication protocols, and access control measures. The book also focuses on the design, implementation, and management of secure HCPS in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications, for HCPS. The book highlights the importance of securing communication protocols, the role of artificial intelligence and machine learning in threat detection and mitigation, and the need for robust cybersecurity frameworks in the context of smart manufacturing.

Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and machine learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures.Artificial Intelligence Solutions for Cyber-Physical Systems discusses such best practices and frameworks as NIST Cybersecurity Framework, ISO/IEC 27001, and IEC 62443 of advanced technologies. It presents strategies and methods to mitigate risks and enhance security, including cybersecurity frameworks, secure communication protocols, and access control measures. The book also focuses on the design, implementation, and management of secure HCPS in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications, for HCPS. The book highlights the importance of securing communication protocols, the role of artificial intelligence and machine learning in threat detection and mitigation, and the need for robust cybersecurity frameworks in the context of smart manufacturing.

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.

ICISAS 2025 is the leading research conference of Curtin University Dubai, bringing together experts who are shaping the future through innovation, sustainability, and applied sciences. The event provides a strong platform for sharing new knowledge that supports technological progress and sustainable development.The main purpose of the conference is to encourage collaboration across engineering, technology, management, and scientific fields. It connects researchers, industry leaders, policymakers, and students who are committed to creating solutions that address global challenges through responsible and forward-looking innovation.ICISAS 2025 aims to highlight research that can improve material performance, energy systems, sustainable design, and advanced manufacturing. This aligns closely with the book theme, which focuses on innovative engineering approaches that enhance durability, efficiency, and environmental responsibility.A major focus of the conference is on advanced materials, renewable energy technologies, and intelligent systems. Participants explore areas such as nanocomposites, eco-friendly concretes, solar and wind optimization, AI-driven monitoring, IoT-enabled engineering processes, robotics applications, and improved safety systems. The conference also features research on wastewater treatment, structural optimization, machining processes, geotechnical solutions, and sustainable industrial practices. These topics demonstrate how engineering innovations can reduce environmental impact and support sustainable infrastructure and industry.Over two days, the conference offers keynote talks, plenary sessions, poster and oral presentations, symposiums, networking activities, and exhibitor showcases. This diverse programme helps participants engage deeply with new technologies, practical solutions, and collaborative opportunities.ICISAS 2025 stands out for its strong participation from government leaders, eminent scientists, technologists, industry experts, and academics. By bringing together such a wide group, the conference creates a unique environment where cutting-edge engineering research meets real-world application and policy impact.

ICISAS 2025 is the leading research conference of Curtin University Dubai, bringing together experts who are shaping the future through innovation, sustainability, and applied sciences. The event provides a strong platform for sharing new knowledge that supports technological progress and sustainable development.The main purpose of the conference is to encourage collaboration across engineering, technology, management, and scientific fields. It connects researchers, industry leaders, policymakers, and students who are committed to creating solutions that address global challenges through responsible and forward-looking innovation.ICISAS 2025 aims to highlight research that can improve material performance, energy systems, sustainable design, and advanced manufacturing. This aligns closely with the book theme, which focuses on innovative engineering approaches that enhance durability, efficiency, and environmental responsibility.A major focus of the conference is on advanced materials, renewable energy technologies, and intelligent systems. Participants explore areas such as nanocomposites, eco-friendly concretes, solar and wind optimization, AI-driven monitoring, IoT-enabled engineering processes, robotics applications, and improved safety systems. The conference also features research on wastewater treatment, structural optimization, machining processes, geotechnical solutions, and sustainable industrial practices. These topics demonstrate how engineering innovations can reduce environmental impact and support sustainable infrastructure and industry.Over two days, the conference offers keynote talks, plenary sessions, poster and oral presentations, symposiums, networking activities, and exhibitor showcases. This diverse programme helps participants engage deeply with new technologies, practical solutions, and collaborative opportunities.ICISAS 2025 stands out for its strong participation from government leaders, eminent scientists, technologists, industry experts, and academics. By bringing together such a wide group, the conference creates a unique environment where cutting-edge engineering research meets real-world application and policy impact.

A contemporary discussion of real-world TinyML development In TinyML: Revolutionizing Embedded AI for Intelligent Devices, a team of distinguished researchers delivers an expert, up-to-date discussion of the practical applications of TinyML. The authors explain how to develop smart systems that learn and make decisions at the place of action on tiny, low-power devices. Readers will learn how to create systems that act without access to high-speed internet connectivity. Beginning with explanations of the fundamentals of TinyML, the hardware it runs on, and how to collect and prepare the data required to run applications, the book goes on to discuss neural networks, model training, and the wide array of real-world applications and examples of the technologies. Readers will also discover: A thorough introduction to the data privacy and security problems inherent in TinyML developmentComprehensive explorations of the hands-on techniques required to develop TinyML applicationsPractical discussions of the hardware and software ecosystems in which TinyML development occursComplete treatments of clustering, neural network architectures, and likely future developments in those areasPerfect for data scientists and machine learning engineers, TinyML will also benefit embedded systems engineers, IoT developers, and students of computer science, electrical engineering, and robotics.

The book presents the proceedings of the International Conference on Innovation, Sustainability and Applied Sciences (ICISAS 2023), which took place in Dubai, UAE, on 09-11 December 2023.