Peyman Moghadam

Dr. Peyman Moghadam is a Principal Research Scientist at CSIRO Data61, Adjunct Professor at the Queensland University of Technology (QUT), and Adjunct Associate Professor at the University of Queensland (UQ). He is leading the Embodied AI research cluster at the CSIRO Robotics and Autonomous Systems group working at Intersection of Robotics and Machine learning. As the leader of Spatiotemporal portfolio at CSIRO's Machine Learning and Artificial Intelligence (MLAI) Future Science Platform, Dr Moghadam also oversees research and development of MLAI methods for scientific discovery in spatiotemporal data streams. Before joining CSIRO, Peyman worked in a number of world leading organisations such as the Deutsche Telekom Laboratories (Germany) and the Singapore-MIT Alliance for Research and Technology (Singapore).

Dr Moghadam has led several large-scale multidisciplinary projects and won numerous awards for his innovations, including CSIRO Julius Career award, National, and Queensland iAward for Research and Development, and the Lord Mayor’s Budding Entrepreneurs Award. In 2019, he held a Visiting Scientist appointment at the Agricultural Robotics and Engineering group at the University of Bonn, as part of the CSIRO Julius Career Award. His current research interests include self-supervised learning for robotics, embodied AI, 3D multi-modal perception (3D++), robotics, computer vision, deep learning, and 3D thermal/hyperspectral imaging.

Professional Areas

• Field Robotics
• Embodied AI
• Computer Vision
• Machine Learning
• Hyperspectral image processing
• 3D multimodal perception
• 3D Multi-Modal SLAM
• Agriculture Robotics
• Artificial Intelligence
• Lifelong learning

Education

• Emotional Intelligence In Leadership Harvard Extension School (2021.06 — 2021.06)
• PhD Nanyang Technological University (2007 — 2011)

Companies

• Adjunct Associate Professor The University of Queensland (2022)
• Joint Chief Investigator and Portfolio Leader - Reinvent Science CSIRO (2021)
• Principal Research Scientist CSIRO (2020)
• AI Portfolio Leader (Activity)-Machine Learning and Artificial Intelligence Future Science Platform CSIRO (2019)
• Adjunct Professor QUT (Queensland University of Technology) (2019)
• Technical Entrepreneur Startups (2009)
• Research Team Leader-Embodied AI CSIRO (2020 — 2022)
• Adjunct Senior Fellow The University of Queensland (2019 — 2022)
• Project Leader- Senior Research Scientist CSIRO (2016 — 2020)

Achievements and Awards

2019-2023 CSIRO Julius Career Award CSIRO

2017-2017 Winner of the Lord Mayor's Budding Entrepreneurs Award Digital Brisbane

2014-2014 Winner of Australian National iAward for Research and Development of HeatWave Australian Information Industry Association

2014-2014 Winner of Queensland iAward for Research and Development of HeatWave Australian Information Industry Association

Grants

2019-2023 CSIRO Julius Career Award-3 years funding $150K

2016-2020 Wine Australia CSA1601: New technologies for dynamic canopy and disease management (Joint Chief Investigator-Robotics)

2016-2018 Hort Innovation VG15024: Vision systems, sensing and sensor networks to manage risks and increase productivity in vegetable production systems (CSIRO Chief Investigator)

2016-2017 QUT-CSIRO PhD Scholarships Grant $100K

2016-2017 Innovation Acceleration Fund for HeatWave technology in Sports Performance Management