Generative AI and Creativity From Theory to Practice

1. Generative AI and Creativity: An Overview

Elakkiya Rajasekar

2. Understanding Creativity Using Generative AI: In-Depth Analysis

N. Kalyani, P. Anu, and T. Renugadevi

3. Harmonizing Tradition and Innovation: Computational Strategies for Preserving Thanjavur Paintings from Generative AI

S. Priyanga, Kogila S, and Loganayaki G

4. Creation and Analysis of Sculptures Using the Principles of Generative AI                                          

A. Jothi Prabha, Rashel Sarkar, B. Mohanraj, and Balasubramanian Prabhu Kavin

5. An Automated Image Style Transfer Framework Using Gen AI Algorithm

Abhishek Chakraborty, Rashel Sarkar, Mahendra B. M., Sandesh R , Gurusiddappa Hugar, and Balasubramanian Prabhu Kavin

6. Human-AI Collaboration with Decision Control and Adaptive Trust for Enhancing User Perceptions

Sasikumar A, Logesh Ravi, Malathi Devarajan, Selvalakshmi A, Harishankar K Nair, Ali Wagdy Mohamed, and Subramaniyaswamy V

7. Applications of Generative AI in Gaming and Virtual Environments

Keshava Prasad

8. EffiTrans Basal Cell Carcinoma: Designing a Generative AI Framework for Accurate Basal Cell Carcinoma Image Classification Using EfficientNet and Transfer Learning

R. Suganya, Rashel Sarkar, K. Anuranjani, B. Jagadeeswari, V. Ethirajulu, Arunadevi Thirumalraj, and Balasubramanian Prabhu Kavin

9. Generative AI–Driven Music Genre Classification: Unlocking Creativity and Innovation in Automated Audio Analysis

Logeswari G, K Thangaramya, G. Sudhakaran, and Deepika Roselind J

10. Image-Based Analysis of Parkinson's Disease Using Generative Artificial Intelligence Algorithms

Sasikumar A, Logesh Ravi, Malathi Devarajan, Selvalakshmi A, Harishankar K Nair, Ali Wagdy Mohamed, and Subramaniyaswamy V

11. Harnessing Generative AI Tools and Techniques: Beyond Algorithms for a Smarter Future

T. Renugadevi, Thamaraiselvi A, Muthukumar K, and Sujatha M

12. An Exploration of Generative AI Frameworks and Tools for Generation of Multi-Perspective Contents

N Rajesh Kumar, Subramaniyaswamy V, Logesh Ravi, R. Bala Krishnan, and G. Manikandan

13. Comprehensive Understanding of Evaluating and Testing Generative Models

Arpita Shah

14. Metrics, Tools and Challenges for Assessing Generative Models

Sherin Shibi C, Anubha Pearline S, Abijah Roseline S, Kanimozhi N, and Usharani R

15. Rise of Generative AI: Exploring Its Impact on Creative Industries

Ramya Anandan and Karthick Ganesan

16. Impact of Commercial Applications on GenAI with Its Evolving Landscape

R. Bala Krishnan, Subramaniyaswamy V, Elakkiya Rajasekar, and G. Manikandan

17. AI in Academic Environments: A Study of Perspectives and Practices

Abhishek Sahadev Sutar, Dhruba Sattwata Roy Choudhury, and Ahana Roy Choudhury

18. Generative AI: A Personalized and Ubiquitous Tutor

Olga M. Razumnikova and Maxim Bakaev

19. Integration of Generative AI: An Advent of Education 4.0

Ravindra Giriraj Bhardwaj

20. Generative AI – Challenges and Future Directions

Sini Raj Pulari, Maramreddy Umadevi, and Shriram K. Vasudevan

21. Comparative Analysis of Transformer Models for Stack Overflow Question Quality Classification

Subramaniyaswamy V, Indragandhi V, Elakkiya Rajasekar, Mohan Datta Kuchibhatla, Harshita R, Reesha Jain, and Thareesha Voruguntla

Biography

Dr. Elakkiya Rajasekar is an assistant professor of computer science in the Department of Computer Science, Birla Institute of Technology and Science Pilani, Dubai Campus. She specializes in generative AI and computer vision, applied to language technologies, healthcare, assistive systems, and other interdisciplinary domains. She has led 16 extra-mural funded research projects supported by agencies, including DST-RFBR, DRDO, and Royal Society UK. She serves as chair of the Dubai ACM-W Chapter and vice president of the Dubai ACM Chapter and is recognized among the Top 2% Scientists by Stanford.

Dr. Subramaniyaswamy V is currently working as a professor in the School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. In total, he has 21 years of experience in academia and research. He has published papers in reputed international journals and conferences and filed multiple patents. His technical competencies lie in recommender systems, artificial intelligence, reinforcement learning, big data analytics, and cognitive analytics.