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The International Conference on Cloud Security, Cyber Governance and Global Impacts (ICCSCGI 2026) is a premier global forum that brings together researchers, academicians, industry experts, and policymakers to explore emerging challenges and innovations in the digital era. Organized by the International Scientific Society, the conference aims to foster collaboration between academia and industry while addressing critical issues in cloud security, cyber governance, and their far-reaching global implications.
ICCSCGI 2026 provides a dynamic platform for presenting cutting-edge research, sharing practical insights, and discussing policy frameworks that shape the future of secure and responsible digital ecosystems. The conference will feature keynote sessions, technical paper presentations, panel discussions, and workshops led by distinguished experts from across the world. Key themes include cloud infrastructure security, data privacy and protection, cyber law and governance, artificial intelligence in cybersecurity, risk management, and global digital transformation. Participants will gain valuable knowledge, network with peers, and contribute to meaningful discussions that influence technological advancement and governance strategies.
The International Conference on Cloud Security, Cyber Governance and Global Impacts (ICCSCGI 2026) aims to provide a comprehensive platform for advancing knowledge and innovation in secure digital technologies and governance frameworks. The conference scope encompasses cloud computing security, cyber risk assessment, regulatory policies, data protection strategies, and emerging technologies such as AI-driven cybersecurity. It encourages interdisciplinary research addressing global challenges, including cross-border data governance and digital resilience. Organized by the International Scientific Society, the event promotes collaboration between academia, industry, and policymakers to develop sustainable, secure, and ethically governed digital ecosystems worldwide.
| Sno | Papers Title | Author |
|---|---|---|
| 1. | AI-Powered Digital Twins for Real-Time Sustainability Tracking in Manufacturing | Bala M, Kamalakannan M |
| 2. | Fusion of Edge AI and Federated Learning in Smart Cities | Karthikayan M, Eswar S |
| 3. | Data Mesh vs. Data Lakehouse: A Comparative Analysis of Enterprise-Scale Data Architectures | Tharsila A, Suba G |
| 4. | Event-Driven Data Architecture for Real-Time Analytics and Decision Systems | Farin, Safeer |
| 5. | Role of Enterprise Resource Planning Software (ERP) in Driving Circular Economy Practices in the United States | Dharani K, Gopika P |
| 6. | Enhancing Customer Segmentation with Azure Cognitive Services | Ravi, Kishore |
| 7. | AI-Augmented Decision-Making in Complex Human Systems: From Healthcare to Governance | Sarathi, Ragu |
| 8. | AI-Designed Materials and Nanotechnology for Next-Gen Engineering Applications | Gokul G, Ishwarya |
| 9. | Automation of PMO Processes through AI and Workflow Intelligence | Devadharshini G, Kishalini C |
| 10. | Ethical Considerations of AI Adoption in Project Management | Harihara Sudhan, Sanjaykumar |
| 11. | Theoretical Foundations of Artificial Intelligence and Machine Learning | Abirami, Swasti Karna |
| 12. | Mathematical Modeling in Distributed Computing Systems | Kalavathi, Padmavati |
| 13. | Formal Verification Methods for Secure Software Architectures | Rahul, Haripriya |
| 14. | Powered Visual Intelligence for Cloud Infrastructure Monitoring: Image-Based Diagnostics in Data Center Environments | Madhava Rao Thota |
| 15. | Zero-ETL Architecture for Modern Data Platforms | Dr. Vinod Kumar, Dr. Shalini Agarwal, Dr. Robert Hughes |
| 16. | AI-Driven Data Governance: Automating Metadata, Quality, and Compliance | Dr. Lakshmi Narayanan, Dr. Pooja Singh |
| 17. | Designing Resilient Data Architectures for Multi-Cloud and Hybrid Environments | Dr. Karthik Raman, Dr. Nidhi Verma |
| 18. | Optimizing Data Lakehouse Performance Using Adaptive Query Optimizers | Dr. Sandeep Nair, Dr. Ritu Malhotra, Dr. William Carter |
| 19. | Data Privacy By Design Architecture for AI and Machine Learning Systems | Dr. Harish Krishnan, Dr. Anjali Deshmukh |
| 20. | Knowledge Graph Driven Enterprise Data Architecture | Dr. Vivek Sharma, Dr. Nandini Rao |
| 21. | Building Scalable Master Data Management (MDM) Architecture in Large Enterprises | Dr. Prakash Iyer, Dr. Shweta Mehra |
| 22. | LLM-Native Data Architecture: How Foundation Models Change Data Storage and Access | Dr. Ramesh Babu, Dr. Deepika Arora |