Zuheir N. Khlaif – författare

AI and IoT in Engineering, Life Science, and Healthcare presents an integrated, application-focused exploration of how intelligent algorithms and connected sensing systems are jointly designed, deployed, and evaluated to solve real-world challenges across engineering workflows, biological research, and clinical practice.Readers will gain a clear, practice-oriented understanding of how to build end-to-end solutions—from data acquisition with IoT devices to model development, deployment, and validation—supported by concise explanations, case studies, and reproducible workflows. The book explains how to select appropriate sensors, design data pipelines, apply learning models, and assess performance using relevant metrics, while addressing interoperability, scalability, and reliability. It also covers implementation considerations such as edge vs. cloud processing, system integration, and lifecycle management. By combining conceptual clarity with step-by-step examples and applied scenarios, the book enables readers to move from theory to working prototypes and informed decision-making.This book is intended for senior undergraduate and postgraduate students in engineering, biomedical sciences, and health informatics, as well as researchers, practitioners, and professionals seeking to apply connected intelligent systems in applied settings. It is also suitable for educators and industry engineers looking for a structured reference that bridges disciplines and emphasizes practical deployment.Key Features :End-to-end coverage from IoT data acquisition to model deployment and evaluationCross-disciplinary case studies spanning engineering systems, life sciences, and healthcarePractical workflows with implementation guidance for edge and cloud environmentsEmphasis on system integration, scalability, and real-world constraints

This book explains how educators can use artificial intelligence in education to enhance student engagement and improve learning outcomes by sharing best practices for using AI to enhance learning quality and foster sustainable teaching. This book covers various topics related to the use of AI in education, from designing activities to using AI in teaching to using AI in assessment by following the ethical considerations of using AI in teaching.The book not only discusses the related topics to using AI in education, but also presents best practices of using AI in teaching and learning from different countries and provides best practices of ethical considerations based on lives experiences of the authors. Furthermore, the book introduces the teaching methods of integrating AI in teaching and learning. Therefore, this book offers essential information and a practical guide to using AI in education.

This book explains how educators can use artificial intelligence in education to enhance student engagement and improve learning outcomes by sharing best practices for using AI to enhance learning quality and foster sustainable teaching. This book covers various topics related to the use of AI in education, from designing activities to using AI in teaching to using AI in assessment by following the ethical considerations of using AI in teaching.The book not only discusses the related topics to using AI in education, but also presents best practices of using AI in teaching and learning from different countries and provides best practices of ethical considerations based on lives experiences of the authors. Furthermore, the book introduces the teaching methods of integrating AI in teaching and learning. Therefore, this book offers essential information and a practical guide to using AI in education.