Intelligent Manufacturing and Industrial Engineering
About the Book Series
Intelligent manufacturing is a general concept that is under continuous development. It can be categorized into three basic paradigms: digital manufacturing, digital-networked manufacturing, and new generation intelligent manufacturing. New-generation intelligent manufacturing represents an in-depth integration of new-generation, new information and communication technology, intelligent science and technology, artificial intelligence (AI) technology, and advanced manufacturing technology. It runs through every link in the full life-cycle of manufacturing thus uses autonomous sensing, inter-connection, collaboration, learning, analysis, cognition, decision-making, control, and the execution of human, machine, material, and environmental information to enable the integration and optimization of various aspects of a manufacturing enterprise or group.
This new book series will offer books that cover new developments and advances in the areas of Intelligent Manufacturing and Industrial Engineering and will include theories, methods, and applications of smart manufacturing embedded in the fields of engineering and computer science as well as the cross-disciplinary fields that relate, but still have a firm footing in Manufacturing and Industrial Engineering topics. The series will include monographs and edited volumes spanning the areas of smart manufacturing, industrial Engineering, edge computing, supercomputing, Internet-based, service-oriented, collaborative, customizable, flexible, and socialized intelligent manufacturing systems that are used to facilitate production and provide services to users.
If you are interested in writing or editing a book for the series or would like more information, please contact Cindy Carelli, [email protected].
Transforming Industries: Capturing the Potential of IIoT and ML in the Era of Industry 5.0
1st Edition
Edited
By Ashima Kalra, Sita Rani, Ravinder Kumar, Ahmed A. Elngar
October 28, 2025
The rapid convergence of the Industrial Internet of Things (IIoT) and Machine Learning (ML) is propelling us into a new era known as Industry 5.0. This era is defined by unparalleled levels of automation, customization, and sustainability. Despite these advancements, there is a noticeable absence ...
Handbook of AI-Based Mechatronics Systems and Smart Solutions in Industrial Automation
1st Edition
Edited
By Pushpalatha Naveenkumar, Vandana Sharma, Gunapriya Devarajan, Azween Abdullah, Ahmed A. Elngar
September 02, 2025
Artificial intelligence (AI) and mechatronics are booming areas where most of the industrial sectors are becoming smart nowadays. This handbook includes material of multidisciplinary content from the AI, mechanical, and electronics engineering domains, among others. It gives insights into various ...
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things
1st Edition
Edited
By Pankaj Bhambri, Sita Rani, Valentina E Balas, Ahmed A. Elngar
July 30, 2025
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments. ...
Intelligent Manufacturing: Exploring AI, Blockchain, and Smart Technologies in Industry 4.0
1st Edition
Edited
By Navroop Kaur, Gurpreet S. Dhillon, Sita Rani, Ahmed Elngar
March 12, 2025
The field of industrial engineering has undergone a transformation in recent years, driven by emerging technologies such as Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT). To keep pace with these advancements, a shift toward AI-driven development has become a ...
Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications
1st Edition
Edited
By Ahmed A. Elngar, Diego Oliva, Valentina E. Balas
December 30, 2024
Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data ...
Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities
1st Edition
Edited
By Alka Chaudhary, Vandana Sharma, Ahmed Alkhayyat
November 27, 2024
The use of intelligence in manufacturing has emerged as a fascinating subject for academics and businesses everywhere. This book focuses on various manufacturing operations and services which are provided to customers to achieve greater manufacturing flexibility, as well as widespread customization...
Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments
1st Edition
Edited
By Sunil Kumar Chawla, Neha Sharma, Ahmed A. Elngar, Prasenjit Chatterjee, P. Naga Srinivasu
October 28, 2024
The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels ...
Internet of Things and Big Data Analytics-Based Manufacturing
1st Edition
Edited
By Arun Kumar Rana, Sudeshna Chakraborty, Pallavi Goel, Sumit Kumar Rana, Ahmed A. Elngar
October 17, 2024
By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven strategies and deal with ...
Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges
1st Edition
Edited
By Om Prakash Jena, Sabyasachi Pramanik, Ahmed A. Elngar
October 07, 2024
This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity. This book ...
Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies
1st Edition
Edited
By Ahmed A. Elngar, N. Thillaiarasu, T. Saravanan, Valentina Emilia Balas
July 31, 2024
Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies discusses the latest innovations in the application of technologies to Industry 4.0 and the nine pillars and how they relate, support, and bridge the gap between the digital and physical worlds we now live in...
AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications
1st Edition
Edited
By Sita Rani, Pankaj Bhambri, Sachin Kumar, Piyush Kumar Pareek, Ahmed A. Elngar
June 19, 2024
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI ...