International Conference on Explainable AI in Engineering - (ICEAIE-26)


29th - 30th August, 2026 | Lagos, Nigeria

Multi-format (In-person/Virtual)

Article Submission Register Now Conference Brochure
Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Venue Contact Us

Important Dates

Pre-registration Deadline

30th July, 2026

Paper Submission Deadline

9th August, 2026

Last Date Of Registration

14th August, 2026

Date Of Conference

29th - 30th August, 2026

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICEAIE-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Explainable AI techniques in engineering
  • Transparency in machine learning models
  • Data-driven decision making with AI
  • User trust in AI systems
  • Ethical considerations in AI applications
  • Real-world applications of explainable AI
  • Impact of explainability on engineering outcomes
  • Data visualization for AI insights
  • Collaborative AI systems in engineering
  • Future trends in explainable AI
  • Data management for AI transparency
  • User engagement through explainable AI
  • Explainability in predictive maintenance
  • NLP applications for explainable AI
  • Data ethics in AI engineering applications
  • Case studies of explainable AI in practice
  • Integration of explainable AI in workflows
  • Data-driven insights for AI model improvement
  • User experience enhancements through explainability
  • Challenges in implementing explainable AI

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.