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The 3rd International Conference on Trends in Artificial Intelligence and Data Science (ICTAIDS 2026) is a leading international platform dedicated to exploring the latest advancements and transformative trends in artificial intelligence and data science. Organized by the International Scientific Society, this conference brings together researchers, academicians, industry professionals, and innovators to exchange knowledge and foster collaborative research.
ICTAIDS 2026 focuses on cutting-edge developments in machine learning, deep learning, big data analytics, natural language processing, computer vision, and intelligent systems. The conference aims to bridge the gap between theoretical research and real-world applications by showcasing innovative solutions that address contemporary challenges across industries such as healthcare, finance, education, and smart cities.
The event will feature keynote speeches by renowned experts, technical paper presentations, workshops, and panel discussions that highlight emerging methodologies and future directions in AI and data science. Participants will gain insights into ethical considerations, data governance, and the societal impacts of intelligent technologies.
By encouraging interdisciplinary dialogue and global participation, ICTAIDS 2026 seeks to advance technological progress, inspire innovation, and contribute to the responsible development of AI-driven solutions for a data-centric world.
The 3rd International Conference on Trends in Artificial Intelligence and Data Science (ICTAIDS 2026) focuses on advancing research and practical applications in intelligent systems and data-driven technologies. The scope includes machine learning, deep learning, big data analytics, data mining, natural language processing, computer vision, and AI-driven automation. It also emphasizes ethical AI, data governance, explainable AI, and real-world deployment challenges across industries. Organized by the International Scientific Society, the conference encourages interdisciplinary collaboration to address emerging technological trends and promote innovative, responsible, and scalable AI and data science solutions globally.
| Sno | Papers Title | Author |
|---|---|---|
| 1. | Explainable Artificial Intelligence for Transparent Decision-Making Systems | Dr. Arvind Kumar, Priya Sharma |
| 2. | Generative AI Models for Scientific Research and Innovation | Dr. Emily Johnson, Rahul Mehta, Dr. Sneha Iyer |
| 3. | Federated Learning for Privacy-Preserving Data Analytics | Dr. Karthik Raman, Neha Gupta |
| 4. | AI-Driven Predictive Analytics in Healthcare Applications | Dr. Michael Anderson, Dr. Kavitha R, Suresh Babu |
| 5. | Machine Learning Techniques for Financial Fraud Detection | Dr. Rakesh Verma, Jennifer Wilson |
| 6. | Deep Learning-Based Medical Image Analysis and Disease Diagnosis | Dr. Lakshmi Narayanan, Anjali Singh, Dr. David Miller |
| 7. | Natural Language Processing for Multilingual Intelligent Systems | Dr. Nitin Joshi, Harini Raj |
| 8. | Reinforcement Learning for Autonomous Robotics and Smart Automation | Dr. Christopher Lee, Dr. S. Balaji |
| 9. | Artificial Intelligence in Smart Cities and Urban Infrastructure | Dr. Pooja Agarwal, Vivek Nair, Dr. Sarah Brown |
| 10. | Big Data Analytics for Sustainable Development and Environmental Monitoring | Dr. Ajay Prakash, Monica Thomas |
| 11. | Edge AI for Real-Time Internet of Things (IoT) Applications | Dr. Rohit Menon, Aishwarya Krishnan |
| 12. | Cybersecurity Threat Detection Using Artificial Intelligence | Dr. John Peterson, Dr. Meenakshi Rao, Akash Patel |
| 13. | AI-Based Recommendation Systems for Personalized Digital Services | Dr. Sanjay Kulkarni, Rachel Green |
| 14. | Data Mining Techniques for Business Intelligence and Decision Support | Dr. Harsha Vardhan, Divya Ramesh |
| 15. | Computer Vision Applications in Intelligent Surveillance Systems | Dr. William Harris, Dr. Shalini Gupta, Arjun Menon |
| 16. | AI-Enabled Digital Twins for Industrial Process Optimization | Dr. Pradeep Kumar, Sophia Martin |
| 17. | Intelligent Transportation Systems Using AI and Data Analytics | Dr. Manoj Nair, Keerthi S, Dr. Robert Clark |
| 18. | Sentiment Analysis and Opinion Mining Using Deep Learning | Dr. Shweta Mishra, Kevin Adams |
| 19. | Ethical Artificial Intelligence: Fairness, Accountability, and Transparency | Dr. Anuradha Iyer, Dr. James Walker, Mohan Raj |
| 20. | Blockchain and Artificial Intelligence for Secure Data Management | Dr. Vivek Srinivasan, Priyanka Das |
| 21. | Time Series Forecasting Using Advanced Machine Learning Models | Dr. Gopal Krishna, Elizabeth Moore, Rohan Kapoor |
| 22. | AI-Powered Precision Agriculture and Smart Farming Technologies | Dr. Senthil Kumar, Nisha Arora |
| 23. | Graph Neural Networks for Complex Data Representation and Analysis | Dr. Deepak Sharma, Olivia Carter, Dr. Ramya Krishnan |
| 24. | Large Language Models for Enterprise Automation and Knowledge Management | Dr. Ashok Reddy, Jennifer Smith |
| 25. | Quantum Machine Learning: Emerging Trends and Future Applications | Dr. Ramesh Balan, Ethan Brooks, Dr. P. Nivetha |