• Home
  • Call for Paper

Call for Paper

The ICEAIE 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 Data 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
Explainable AI techniques in engineering
02
Transparency in machine learning models
03
Data-driven decision making with AI
04
User trust in AI systems
05
Ethical considerations in AI applications
06
Real-world applications of explainable AI
07
Impact of explainability on engineering outcomes
08
Data visualization for AI insights
09
Collaborative AI systems in engineering
10
Future trends in explainable AI
11
Data management for AI transparency
12
User engagement through explainable AI
13
Explainability in predictive maintenance
14
NLP applications for explainable AI
15
Data ethics in AI engineering applications
16
Case studies of explainable AI in practice
17
Integration of explainable AI in workflows
18
Data-driven insights for AI model improvement
19
User experience enhancements through explainability
20
Challenges in implementing explainable AI

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.

👉 Register Now

Publication

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

👉 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.