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AI-Transformed Aerospace Research Center

Global research hub leading AI transformation in aerospace systems

World-class institution for nurturing interdisciplinary talent

KEYWORDKeyword

OBJECTIVE Objective

Securing core AI transformation technologies across design, autonomous flight, data utilization,
and maintenance, centered on Aerospace AI Foundation models.

Nurturing convergence-oriented experts in the aerospace AI field equipped with a global perspective.

INTRODUCTION Director's Message

“Pioneering the Future of Aerospace through End-to-End AI Transformation”

Greetings. I am Han-Lim Choi, Director of AI-Transformed Aerospace Research Center.
The aerospace industry is at a pivotal turning point where integration with AI technology
can generate groundbreaking innovation. Our center is dedicated to developing transformative technologies
that lead the AI Transformation across the entire value chain of aerospace systems.

We are spearheading innovations in AI-driven design, autonomous flight, mission data fusion,
aerospace-specific IT infrastructure, and rapid diagnostics.
Furthermore, we are pursuing the development of an Aerospace AI Foundation Model
to integrate these core elements seamlessly.

These changes and innovations must be driven by young researchers who are at the forefront of the AI transition.
Our center actively supports the creative challenges of post-doctoral researchers
who possess exceptional convergence capabilities.

By leveraging the synergy between KAIST and the other Institutes of Science and Technology,
we aim to contribute to securing a Global Top 5 position in the aerospace sector through AI transformation.

Thank you.

IMPACT Impact

Technical & Industrial Impact

Establishing an aerospace-AI convergence ecosystem, nurturing high-level expertise, and expanding the foundation for industry partnerships.
Vitalizing the AI-based industrial ecosystem by implementing high-performance, cost-effective aerospace systems.
Securing future technological sovereignty in the aerospace and defense sectors through preemptive AI transformation.

Economic Impact

Anticipated reduction of 20–40% in aerospace system operating costs.
Expected to achieve 25 trillion KRW in annual revenue by securing more than 5% of the projected $380 billion aerospace AI market through early market entry.

TALENT Ideal Talent

● Innovative, convergence-oriented talent capable of creatively leading AI transformation (AX) based on a solid foundation of aerospace domain knowledge.

● Balanced and collaborative professionals equipped to drive global and industry-academia-research cooperation.

FACULTY Faculty