Peyman Moghadam

Peyman Moghadam is a Principal Research Scientist at CSIRO and Adjunct Professor at Queensland University of Technology (QUT), specializing in Robotics and Machine Learning at the intersection of cutting-edge AI research and practical applications. He leads the Embodied AI Research Cluster at CSIRO and previously served as Acting Group Leader of Robotic Perception and Autonomy.

• Primary Affiliation: CSIRO (Embodied AI Research Cluster)
• Academic Role: Adjunct Professor at QUT
• Leadership: Led CSIRO’s Spatiotemporal AI portfolio (2020-2024), Visiting Professor at ETH Zürich (2022)

His research focuses on self-supervised learning, embodied AI, foundation models, robotics, and computer vision, particularly for applications in place recognition, continual representation learning, and environmental monitoring. He has also advanced spatiotemporal MLAI methods for scientific discovery.

Peyman is recognized with multiple awards, including the CSIRO Julius Career Award, CSIRO Collaboration Medal, Brisbane Lord Mayor’s Budding Entrepreneurs Award, and National/Queensland iAwards for Research and Development. He holds senior leadership roles in professional communities as IEEE Senior Member, ACM Member, and ACM Distinguished Speaker.

He actively contributes to academic leadership through roles such as Senior Program Committee Member at AAAI-22, Session Chairs at ICRA and IROS, Tutorials Co-Chair at ICCV and ACCV, and Chair of symposiums and workshops. He offers lectures on 3D Geometry meets Learning, Environmental Intelligence Unleashed, Self-Supervised Representation Learning, and The Future of Computing in Embodied Intelligence.