Call for Paper

The ICDENIS emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Information Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data engineering for big data applications
02
Information systems architecture and design
03
Data integration techniques and challenges
04
Real-time data processing frameworks
05
Data warehousing and analytics solutions
06
Cloud-based data engineering practices
07
Data governance and management strategies
08
Data quality assurance methodologies
09
NoSQL databases and their applications
10
Data engineering for machine learning
11
Data pipelines and workflow automation
12
Data modeling techniques in information systems
13
Data visualization for decision making
14
Data ethics and compliance issues
15
Data engineering in IoT ecosystems
16
Distributed systems for data processing
17
Scalable data architectures for enterprises
18
Data engineering in financial services
19
Trends in information systems development
20
Future directions in data engineering

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

πŸ‘‰ Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

πŸ‘‰ Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.