1st Edition
Generative and Open AI in Industry 5.0
1. Generative and Open AI
Latika Gupta, Faizal Rahman, and Mukesh Kumar Giluka
2. Decoding the Generative Transformer: Core of Gen AI
Bhanu Pratap Singh, Akanksha Yadav, and Sangeeta Sharma
3. Evolution of Language Understanding and Large Language Models
Khushboo Patidar
4. Generative AI for Industry 5.0: The Role of Diffusion Models in Next-Generation Landscapes
Vishakha Kumari and Robin Singh Bhadoria
5. Software Engineering Reimagined and Development
Rahul Prasad and Neetu Singh
6. The Evolution of Industry: From 1.0 to 5.0
Neha Kasture
7. System and Design Perspective for Industry 5.0
Vishal Kaushal and Sangeeta Sharma
8. Security Paradigm for Industry 5.0
Sahil Sharma and Teek Parval Sharma
9. Generative AI for FinTech
Manisha Dubey
10. Mirror Reality: Exploring the Realm of Digital Twin Systems
Panduranga Ravi Teja, Anish Kumar Vishwakarma, Rakesh Ranjan, and Bikash Chandra Sahana
11. Cloud-Powered Intelligence: Integrating Generative AI for Scalable Innovation in Industry 5.0
Akash Verma, Samridhi Singh, Laxmi Yadav, Divya Jyoti, and Arun Kumar Yadav
12. Ethical and Regulatory Aspects of AI in Industry 5.0
Shraddha Kumar
13. The Trust Fabric: AI, Agents, and Cybersecurity in Industry 5.0
Anupam Sharma
14. AI-Assisted Smart Energy Infrastructure for a Sustainable Industry 5.0 to Support Virtual Power Plant
Subhajit Roy, Sourav Saha, Dulal Chandra Das, Rajesh Kumhar, Nidul Sinha, Sukanta Roy, and Rishabh Dev Shukla
15. Self-Evolving Twins: Shaping Ethical, Resilient, and Human-Centered Industry 5.0
Vasundhara Rathod and Swati Hira
16. Graph Neural Networks in Industry 5.0: Smart Connectivity and Predictive Intelligence
Sanjeev Khan, Pawan Kumar, and Nutan Pathania
17. Automated Documentation Using Generative AI in Version-Controlled Projects
Shikha Singh, Siddhartha Kumar Arjaria, Abhishek Singh Rathore, and Pradeep
Biography
Sangeeta Sharma is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Hamirpur, Himachal Pradesh, India. She earned a PhD in computer science at the Maulana Azad National Institute of Technology Bhopal in 2017. Her research interests include virtualization technologies, cloud computing, artificial intelligence/machine learning, federated learning, and distributed systems, with a focus on efficient and scalable resource management.
Robin Singh Bhadoria is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Hamirpur, Himachal Pradesh, India. He specializes in big data analytics, IoT, machine learning, and wireless networks. He earned a PhD at the Indian Institute of Technology Indore and an MTech (Gold Medalist) at Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, in computer science engineering.
Mukesh Kumar Giluka is an assistant professor in the School of Engineering, Jawaharlal Nehru University, New Delhi, India. He earned a PhD at the Indian Institute of Technology Hyderabad. His research interests include 5G/6G networks, Wi-Fi networks, V2X communication, ISAC, and Open RAN.
‘The editors have assembled a stellar line-up of contributors, who together explore every aspect of this cutting-edge topic. Combining research and practice, this will be an indispensable text for all readers.’
Brian A. Martin, University of East London, UK; Past President, UCAP
