Generative AI Approaches for Industrial Applications will be a groundbreaking exploration of generative artificial intelligence's transformative role in modern industry. In particular, Generative AI-powered Large Language Model (LLM) has recently made news with disruptive applications like ChatGPT and BARD. This book will explore generative AI technologies' applications, challenges, and future potential across various sectors, offering an invaluable resource for academics, professionals, and researchers. Generative AI, a subset of artificial intelligence focused on creating new content and solutions, is rapidly evolving and finding its place in diverse industrial domains. This book will provide a comprehensive overview of these applications, emphasizing practical implementations and theoretical underpinnings. This book will combine in-depth technical discussions with case studies and real-world examples, making it accessible to a broad audience, from AI practitioners to business leaders seeking to understand how generative AI can revolutionize their operations.  This book will explore the mechanisms behind generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers, illustrating their potential applications in various industry domains. Furthermore, this book will critically examine generative AI's ethical, social, and practical challenges while shedding light on its transformative potential. This book should interest administrators, AI enthusiasts, and researchers in the nexus of technology and business.​

Note: There are NO submission or acceptance fees for manuscripts submitted to this book publication. This book will be submitted for possible indexation to Scopus, Web of Science, and major indices.

Submission Guidelines

All papers must be original and not simultaneously submitted to another book, journal, or conference.

Kindly note the following when submitting your book chapter:

• Submit an initial proposal, including the title of the chapter and the problem/purpose statement explaining the proposed chapter. The deadline for submission of the initial proposal (500-700 words) is March 1, 2024.

• Submit your proposal through the following link: https://easychair.org/conferences/?conf=genai2024

• The authors will be informed about the approval of the book chapter proposal before March 15, 2024.
• The full chapter is due by May 30, 2024.
• The length of the chapter should be 6,000-8,000 words.
• The paper should be formatted per the template provided, and APA style of references should be used in the chapter. The template will be sent to the authors after the acceptance of the initial proposal.
• Ensure that the paper adheres to Springer’s book chapter formatting guidelines. All submissions should be made in Word format only (.DOCX).

• Chapter Template

• Sample Chapter

You may also contact us via professional social media at:

https://www.linkedin.com/in/drvajjhala/

https://www.researchgate.net/profile/Narasimha-Vajjhala

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https://research.vit.ac.in/researcher/sanjiban-sekhar-roy

https://www.linkedin.com/in/burak-taşcı-ph-d-1157a268/

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https://orcid.org/0000-0003-0744-8206

List of Topics

The scope of this book is illustrated through the following topics (but are not limited to the following ones): 

1. Foundations of Generative AI

   • Basics of Generative Models

   • GANs, VAEs, and Transformers

   • The Mathematical Principles Behind Generative Models

   • Training and Evaluation of Generative Models

2. Generative AI in Manufacturing

   • Predictive Maintenance and Anomaly Detection

   • Automated Design and Prototyping

   • Optimization of Manufacturing Processes

   • Customization and Personalization in Production

3. Generative AI in Healthcare​

   • Drug Discovery and Development

   • Personalized Treatment Planning

   • Medical Imaging and Diagnosis

   • Predictive Health Analytics and Risk Assessment

4. Generative AI in Creative Industries

   • Automated Content Generation in Media and Entertainment

   • AI-driven Music Composition and Sound Design

   • AI in Visual Arts and Graphic Design

   • Generative AI in Film and Video Production

5. Applications of Generative AI in Energy and Environment

   • Smart Grid Optimization and Energy Management

   • Predictive Maintenance in Renewable Energy Systems

   • Climate Modelling and Environmental Impact Analysis

   • Resource Exploration and Sustainable Resource Management

6. Generative AI in Logistics and Supply Chain

   • Demand Forecasting and Inventory Management

   • Route Optimization and Fleet Management

   • Automated Warehousing and Material Handling

   • Supplier Selection and Risk Management

7. Challenges and Ethical Considerations in Generative AI Applications

   • Data Privacy and Security Concerns

   • Bias and Fairness in AI Algorithms

   • Regulatory and Compliance Issues

   • Ethical Implications of Autonomous Decision-Making

8. Text Generation with Large Language Models

   • Summary Generation

   • Text Generation

   • Various Applications of Pre-Trained Transformers 

9. Case Studies and Practical Examples

   • Key Takeaways and Lessons Learned

   • Action Points for Administrators and Technologists

Important Dates

Publication

This book is scheduled to be published will be published as a volume in the Information Systems Engineering & Management (ISEM) book series, Springer-Verlag. This publication is anticipated to be released in October 2024.   All manuscripts will be accepted based on a double-blind peer-review editorial process. This book will be submitted for possible indexation in Scopus, Web of Science, and major indices.

Contact Information of Editors

All questions about submissions should be emailed to:

Assoc. Prof. Narasimha Rao Vajjhala

University of New York Tirana, Albania

Email: narasimharaonarasimha@gmail.com

Prof. Dr. Sanjiban Sekhar Roy

Vellore Institute of Technology, India

Email: sanjibanroy09@gmail.com

Assoc. Prof. Burak Taşcı

Firat University, Turkey

Email: btasci@firat.edu.tr

Dr. Muhammad E.H. Chowdhury

Qatar University,  Qatar

Email: mchowdhury@qu.edu.qa