- Adjunct Professor Peyman Moghadam
- Adjunct Professor
Science and Engineering Faculty,
School of Electrical Engineering & Robotics
- Discipline *
- Artificial Intelligence and Image Processing, Other Engineering, Other Information and Computing Sciences
- +61 7 3327 4601
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For more information on Adjunct Prof Peyman Moghadam research activities visit website:
We are currently seeking outstanding candidates to undertake PhD research in Deep Learning applied to Robotics visit website for more details:
Deep Learning, Robotics, Embodied Intelligence, Self-Supervised Learning, Hyperspectral Perception, Thermal Perception, Machine Learning, SLAM, Multi-modal Learning, 3D multimodal Perception
Peyman Moghadam is an Adjunct Professor in the Speech, Audio, Image and Video Technologies group within the Science and Engineering Faculty at QUT. He is a Senior Research Scientist and the AgTech Cluster Leader for Robotics and Autonomous Systems, CSIRO, Data61. He received his PhD in Robotics from the Nanyang Technological University (Singapore) in 2011. Before joining CSIRO, he has worked in number of top leading organizations such as the Deutsche Telekom Laboratories (Germany), the Singapore-MIT Alliance for Research and Technology (Singapore). His current research interests focus on Self-Supervised Learning and Embodied Intelligence for Robotics. Professor Moghadam has led several large-scale multidisciplinary projects and he has won numerous awards for his innovations including CSIRO Julius Career award, National and Queensland iAward for Research and Development, the Lord Mayor’s Budding Entrepreneurs Award.
- Robotics, Computer Vision, Machine Learning, Deep Learning.
- Beyond visible Spectrum Perception (Hyperspectral, Thermal).
- Embodied Intelligence, Self-Supervised Learning, Multi-modal Learning
Research applications include:
- Park C, Kim S, Moghadam P, Guo J, Sridharan S, Fookes C, (2019) Robust photogeometric localization over time for map-centric loop closure, IEEE Robotics and Automation Letters p1768-1775
- Park C, Moghadam P, Kim S, Elfes A, Fookes C, Sridharan S, (2018) Elastic LiDAR fusion: Dense map-centric continuous-time SLAM, Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA) p1206-1213
- Park C, Kim S, Moghadam P, Fookes C, Sridharan S, (2017) Probabilistic surfel fusion for dense LiDAR mapping, Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops (ICCVW 2017) p2418-2426
For more publications by this staff member, visit QUT ePrints, the University's research repository.
We are currently seeking outstanding candidates to undertake PhD study: In the field of Deep Learning for Robotics, Self-Supervised Learning, Embodied Learning
- Non-rigid 3D Reconstruction of the Human Body in Motion
PhD, External Supervisor
Other supervisors: Emeritus Professor Sridha Sridharan, Professor Clinton Fookes, Dr Simon Denman, Professor Jonathan Roberts
- Multi-Modal Dense Map-Centric SLAM
PhD, External Supervisor
Other supervisors: Emeritus Professor Sridha Sridharan, Professor Clinton Fookes