CAIDA-2026: Cloud Computing and AI-Driven Data Analytics |
| Submission link | https://easychair.org/conferences/?conf=caida2026 |
| Abstract registration deadline | January 20, 2026 |
| Acceptace Notifications (Abstract) | January 31, 2026 |
| Submission deadline | March 31, 2026 |
| Submission of Full Chapter | March 31, 2026 |
| Submission of Revised Chapter | April 20, 2026 |
| Acceptace Notifications (Chapter) | April 30, 2026 |
| Publication | June 1, 2026 |
About the Book
This edited volume aims to explore the latest developments in Cloud Computing, Artificial Intelligence, and Data Analytics. It will cover both theoretical foundations and practical applications across a wide range of domains, including healthcare, finance, smart cities, IoT, and more. The book invites contributions that address emerging trends, ethical considerations, trustworthy AI, and innovative solutions that focus on cloud, data analytics and AI technologies. We welcome original research, case studies, and review chapters from researchers, practitioners, and professionals worldwide.
Submission Guidelines
Proposals, full chapters, and other queries should be submitted via easychair.
Queries/questions or further information can be emailed at: dt.springerbook@gmail.com
Note: The abstract should include the name of authors, affiliations, contact number, and email ID, along with a brief introduction/outline of the chapter (maximum one page).
Indexing: The book will be submitted for indexing in WOS, Scopus, and other major scientific databases.
Publication Charges: There will be no submission fee or other publication charges.
List of Topics (Not Limited To Following):
-
Introduction to Cloud Computing and AI-Driven Analytics
-
Data Management in the Cloud: Architectures and Frameworks
-
Machine Learning in the Cloud Ecosystem
-
Big Data Analytics in Cloud Environments
-
Edge and Fog Computing: Extending the Cloud for Intelligent Analytic
-
AI-Powered Cloud Automation and Orchestration
-
Deep Learning at Scale: Cloud Infrastructure for Neural Networks
-
Data Security, Privacy, and Trust in AI-Driven Clouds
-
Explainable and Ethical AI in Cloud Data Systems
-
AI-Driven Cloud Monitoring and Predictive Maintenance
-
Cloud and AI Integration in Healthcare Analytics
-
Healthcare Applications of Cloud and AI Analytics
-
Intelligent Cloud Solutions for Smart Cities and IoT
-
AI and Cloud Synergy in Financial and Business Intelligence
-
Sustainability and Green AI in Cloud Computing
-
Future Directions: Quantum Cloud, Federated AI, and Beyond
Editors:
- Dr. Roshan Jameel, Associate Faculty, Westford University College,Sharjah, UAE
- Sheikh M. Idrees, Researcher DSE Lab, NTNU, Norway.
- Dr. Akif Quddus Khan, Associate Professor, Oslomet University,Norway.
- Dr. Alisha Sikri, Assistant Professor,Vivekananda Institute of Engineering and Technology,New Delhi, India.
Publication
CAIDA-2026 will be published in the Springer Book Series.
Contact
All questions about submissions should be emailed to dt.springerbook@gmail.com or akif.quddus.khan@oslomet.no
