Intelligent Manufacturing and Industry 4.0

Alka Chaudhary received her Ph.D. (Computer Science and Engineering) from Manipal University Jaipur, Rajasthan in 2016. She has completed her M. Tech. (CSE) from Jagannath University Jaipur, Rajasthan. She has joined Amity Institute of Information Technology (AIIT), Amity University Noida, Uttar Pradesh in August 2019 and working as Assistant Professor Grade-III. She is also working as Head of the AUN IoT and Sensor Network Research Lab at AIIT. Her research interests include Security of Wireless Networks, IoT, Artificial Intelligence, and Soft Computing Techniques. She has published more than 50 research papers in international journals and conferences Indexed in Scopus and SCIE. She has filed 11 patents and 1 copyright in the field of AI and IoT. She received a young scientist award from VDGOOD Professional Association in 2021. She has completed many certification courses from CISCO NetAcad and working as a Cisco Instructor. Currently, she is guiding four research scholars. She is a member of ACM, ACM-W, IAENG, and the Internet Society. She acts as a reviewer for many journals such as IEEE Access, Ad hoc Networks Elsevier, and NETNOMICS Springer. Vandana Sharma is an Associate Professor at Amity Institute of Information Technology, Amity University Noida Campus, India. She is an honorary Adjunct Professor and Senior Fellow of the Scientific Innovation Research Group (SIRG) at Beni Suef University, Egypt. Dr. Sharma has served NAAC-accredited A++ institutions like Guru Gobind Singh Indraprastha University, Delhi, and Galgotias University, Greater Noida Campus. Dr. Sharma has 14+ years of teaching experience at the postgraduate level and has guided 100+ student dissertations. She obtained her doctoral, M.Tech, and B.E-Com degrees from Guru Gobind Singh Indraprastha University, a Delhi state university. She is a Senior Member of IEEE and as a keen researcher, she has published 40+ research papers in SCI and Scopus Indexed international journals and conferences. Dr. Sharma has contributed voluntarily as a Reviewer and Technical Program Committee (TPC) member for reputed International Journals and IEEE Conferences and has presented her work across India and abroad. Currently, she is a post-doctoral fellow at Lincoln University College, Malaysia. Her primary areas of interest include Artificial Intelligence, Blockchain Technology, and the Internet of Things (IoT). Ahmed Alkhayyat received a B.Sc. degree in electrical engineering from AL KUFA University, Najaf, Iraq, in 2007, an M.Sc. degree from the Dehradun Institute of Technology, Dehradun, India, in 2010, and Ph.D. from Cankaya University, Ankara, Turkey, in 2015. He contributed to organizing several IEEE conferences, workshops, and special sessions. He is currently a dean of international relationships and manager of the world ranking at the Islamic university, in Najaf, Iraq. To serve my community, I acted as a reviewer for several journals and conferences. His research interests include IoT in the healthcare system, SDN, network coding, cognitive radio, efficient-energy routing algorithms, and efficient-energy MAC protocol in cooperative wireless networks and wireless body area networks, as well as cross-layer designing for self-organized networks.

1. Intelligent Manufacturing: Components, Challenges, and Opportunities 2. Navigating the Future of Intelligent and Smart Manufacturing: A Comprehensive Bibliometric Analysis (2012–2024) 3. Amalgamation of Disruptive Technologies for Implementation of Intelligent Manufacturing 4. Digital Twin Technology for Intelligent Manufacturing 5. Intelligent Load Migration Using Federated Learning in Intelligent Manufacturing 6. Challenges and Issues in Securing Intelligent Manufacturing Systems 7. Multi-Factor Authentication Methods for Intelligent Manufacturing 8. Light-Weight Algorithms for Enhanced Privacy and Encryption Techniques for IoT-Based Intelligent Manufacturing 9. Implementation of Intelligent Manufacturing Using Cyber-Physical Systems (CPS) 10. Use Cases of Intelligent Manufacturing 11. Case Studies of Next-Generation AI for Intelligent Manufacturing by Gautam