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The International Conference on Research Trends in Artificial Intelligence and Data Science (ICIRAIDS 2025) is a prestigious global forum dedicated to advancing cutting-edge research and innovative practices in two of the most transformative domains of the digital era. Scheduled for 2025, this conference aims to bring together academicians, researchers, industry experts, and students from around the world to exchange ideas, share findings, and explore future directions in Artificial Intelligence (AI) and Data Science.
The conference will highlight emerging trends in AI-driven solutions, intelligent systems, predictive analytics, big data applications, machine learning, and deep learning techniques that are revolutionizing industries such as healthcare, finance, education, security, and business intelligence. It will also provide a platform to discuss challenges related to ethical AI, data privacy, governance, and sustainable technology adoption.
The International Conference on Research Trends in Artificial Intelligence and Data Science (ICIRAIDS 2025) covers a wide spectrum of emerging topics in AI and Data Science, ranging from machine learning, natural language processing, and computer vision to big data analytics, cloud computing, and intelligent decision-making systems.
The conference emphasizes interdisciplinary research, real-world applications, and ethical considerations of AI and data-driven technologies. By encouraging collaboration among scholars, professionals, and industry leaders, ICIRAIDS 2025 aims to advance knowledge, promote innovation, and create sustainable solutions that address global challenges in diverse domains.
| Sno | Papers Title | Author |
|---|---|---|
| 1. | Explainable Artificial Intelligence (XAI) for Transparent Decision-Making | Arun Kumar S, Priya Natarajan R |
| 2. | Large Language Models for Enterprise Applications | Rahul Sharma, Sneha Iyer |
| 3. | Generative AI for Intelligent Content Creation and Automation | Vikram Reddy P, Meera Krishnan S |
| 4. | Reinforcement Learning for Autonomous Systems | Karthik Raj M, Divya Srinivasan P |
| 5. | Federated Learning for Privacy-Preserving Artificial Intelligence | Naveen Prakash R, Ananya Menon K |
| 6. | Multi-Agent Artificial Intelligence Systems and Collaborative Intelligence | Sanjay Kumar V, Aishwarya Raman R |
| 7. | Responsible and Ethical AI: Fairness, Accountability, and Transparency | Harish Narayanan P, Deepika Krishnan S |
| 8. | AI-Driven Decision Support Systems for Smart Enterprises | Rohit Verma T, Shalini Gupta M |
| 9. | Deep Learning Architectures for Image and Speech Recognition | Vignesh Kumar R, Nandhini Bala S |
| 10. | Transfer Learning for Low-Resource AI Applications | Aditya Singh R, Kavya Menon P |
| 11. | Self-Supervised and Unsupervised Learning Techniques for Intelligent Data Analysis | Manoj Kumar S, Riya Sharma P |
| 12. | AI-Based Predictive Analytics for Business Intelligence | Kiran Raj V, Anusha Krishnan M |
| 13. | AutoML for Automated Machine Learning Model Development | Praveen Kumar T, Sneha Patel R |
| 14. | Edge AI and TinyML for Resource-Constrained Devices | Rakesh Nair P, Divya Reddy K |
| 15. | Big Data Analytics for Real-Time Decision Making | Vivek Sharma S, Meenakshi Iyer R |
| 16. | Data Mining and Knowledge Discovery in Large-Scale Datasets | Arvind Kumar N, Keerthana Ravi S |
| 17. | Data Engineering and Scalable Data Pipeline Architectures | Suresh Prakash M, Anjali Menon K |
| 18. | Data Visualization Techniques for Complex Analytics | Nithin Raj P, Swetha Krishnan R |
| 19. | Cloud-Based Data Science Platforms and AI Integration | Mohit Sharma V, Pooja Nair T |
| 20. | AI-Driven Data Quality Assessment and Data Governance | Harikrishnan S, Aditi Verma P |
| 21. | Natural Language Processing for Multilingual Intelligent Systems | Rohan Mehta S, Lakshmi Narayanan P |
| 22. | Conversational AI and Intelligent Virtual Assistants | Akash Verma P, Nisha Krishnan R |
| 23. | Sentiment Analysis Using Transformer-Based Language Models | Vishal Kumar T, Ananya Rao S |
| 24. | AI-Powered Text Summarization and Information Retrieval | Karthik Srinivasan M, Priyanka Sharma V |
| 25. | Computer Vision for Healthcare, Agriculture, and Smart Cities | Sathish Kumar R, Meera Lakshmi P |
| 26. | AI-Based Object Detection and Video Analytics | Naveen Raj M, Shreya Patel K |
| 27. | Intelligent Internet of Things (AIoT) for Smart Environments | Rahul Krishnan S, Divya Sharma P |
| 28. | AI for Cybersecurity: Threat Detection and Intrusion Prevention | Harsha Vardhan R, Priyanka Menon S |
| 29. | Digital Twins and AI-Driven Predictive Maintenance in Industry 4.0 | Arun Prakash V, Nandita Rao K |
| 30. | AI Applications in Precision Healthcare and Personalized Medicine | Vikash Sharma P, Aishwarya Krishnan R |