Hybrid Conferencee

International Conference on Aerospace Artificial Intelligence (ICOAAI - 26)

25th - 26th June 2026 | Dammam, Saudi Arabia
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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 Dammam. 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 Dammam 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 Dammam conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dammam, 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 Dammam."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICOAAI 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 Aerospace, 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
AI applications in aerospace engineering
02
Machine learning for flight data analysis
03
Predictive maintenance using AI technologies
04
AI-driven design optimization in aerospace
05
Autonomous systems in aviation safety
06
AI for enhancing flight operations efficiency
07
Data analytics for aerospace applications
08
AI in aircraft manufacturing processes
09
Challenges of AI integration in aviation
10
Future of AI in aerospace innovation
11
AI for air traffic management solutions
12
Robotics and AI in aerospace applications
13
AI for predictive modeling in aerodynamics
14
Ethical considerations of AI in aviation
15
AI-enhanced decision-making in aerospace
16
Collaborative AI systems in aviation
17
AI for enhancing passenger experience
18
AI-driven simulations for flight training
19
Impact of AI on aerospace workforce
20
AI technologies for space exploration