• Posted on 23 Sep 2026
  • 2-minute read

Professor Long recognised for outstanding research leadership and his significant contributions to the fields of artificial intelligence, machine learning, and distributed intelligence.

Australian AI Institute celebrates award of Future Fellowship

The Australian Artificial Intelligence Institute (AAII) at the University of Technology Sydney (UTS) is delighted to celebrate Professor Guodong Long on being awarded a highly competitive Australian Research Council (ARC) Future Fellowship.

Professor Long has secured $1,328,536 in ARC funding for his four-year project, ARC FT260100845: Building the Foundations of Federated Agentic AI, which will run from 2027 to 2031.

Portrait of Professor Guodong Long

Driving innovation across industries

By delivering open-source tools, scalable techniques, and practical applications, the research will generate new knowledge in distributed and agentic AI, strengthening Australia’s leadership in trustworthy, privacy-preserving AI, and driving innovation across healthcare, business, finance, and smart technologies to build a resilient, inclusive digital economy.

The research aims to create a new generation of user-governed AI agents that can collaborate, learn from one another, and continuously adapt to human needs without compromising data privacy, autonomy, or security. By combining advances in federated learning, agentic AI, and distributed intelligence, the project will lay critical foundations for trustworthy and scalable AI ecosystems.

The Future Fellowship recognises Professor Long's outstanding research leadership and his significant contributions to the fields of artificial intelligence, machine learning, and distributed intelligence. The fellowship will support the development of foundational technologies that enable the next generation of AI systems to collaborate safely, efficiently, and responsibly.

Congratulations, Professor Guodong Long, on this outstanding accomplishment. We wish him every success as he leads this ambitious project and continues to advance the frontiers of artificial intelligence research.

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Written by

Ling Chen

Research Director, Faculty of Engineering & Information Technology

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