Hybrid Conferencee

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

26th - 27th June 2026 | Vancouver, Canada
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Vancouver. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Vancouver event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Vancouver conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Vancouver, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Vancouver."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICEAIE aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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