Peyman Moghadam

Head Of The Embodied AI Cluster at CSIRO

Australia
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Summary

👤
Senior
🎓
Top School
Peyman Moghadam is a multidisciplinary AI and robotics research leader with 11+ years of experience driving R&D from concept to impact across CSIRO’s Data61 and leading university partnerships. As Head of the Embodied AI Cluster he combines hands-on technical expertise in C++, Python, ROS, PyTorch, OpenCV and CUDA with portfolio-level strategy, having grown teams, secured >$1M in grants and delivered multiple MVPs. He has a strong academic footprint as adjunct faculty at QUT and UQ, co-supervising PhDs and winning competitive grants for self-supervised and spatiotemporal learning projects. His background spans thermal imaging, SLAM and real-time perception—commercialised early in his career with award-winning HeatWave 3D technology—showing a rare mix of productisation and foundational research. Known for building diverse, high-performing teams, he also pursues technical entrepreneurship and international collaborations (including visits to ETH Zürich and Bonn), reflecting both global perspective and applied impact.
code11 years of coding experience
job18 years of employment as a software developer
bookEmotional Intelligence In Leadership Professional Development Programs, Emotional Intelligence In Leadership Professional Development Programs at Harvard Extension School
bookPhD EEE, PhD EEE at Nanyang Technological University Singapore
languagesEnglish
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Github Skills (24)

lidar9
arxiv8
point-cloud8
ieee8
pointnet8
unstructured7
latex6
semantic-segmentation6
benchmark6
2d5
deep-learning5
keras5
latexmk5
large-scale5
classification5

Programming languages (2)

C++Python

Github contributions (5)

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csiro-robotics/LoGG3D-Net

Feb 2022 - May 2022

Contributions:7 commits, 5 pushes in 3 months
csiro-robotics/InCloud

Mar 2022 - Oct 2022

InCloud: Incremental Learning for Point Cloud Place Recognition https://arxiv.org/abs/2203.00807
Contributions:4 commits, 5 pushes, 4 comments in 7 months
placearxivincrementalabspoint-clouds
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