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Dr Peyman Moghadam

AI Portfolio Leader-Machine Learning and Artificial Intelligence (MLAI) Future Science Platform I Adjunct Professor at QUT

https://people.csiro.au/m/p/peyman-moghadam

Biography

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.

Other Interests

I am currently seeking outstanding candidates to undertake Postdoc Research Fellows and PhD students study in the field of Deep Learning for Robotics, Self-Supervised Learning, Lifelong learning and Embodied AI. Please email me your CV and latest transcripts in a single PDF document.

Current Roles

  • Spatiotemporal MLAI Activity Leader-CSIRO Machine Learning and Artificial Intelligence (MLAI) Future Science Platform
    Lead a portfolio of 6 projects across 4 CSIRO Business Units and external partners: 18 FTE and $10M

  • Adjunct Professor at QUT, the Signal Processing, Artificial Intelligence and Vision Technologies (SAIVT) research program
    Co-supervise Postgraduate students

  • Principal Research Scientist/Senior Project Leader
    Lead teams of researchers and engineering staff to achieve scientific excellence and customer first

Academic Qualifications

  • 2012

    PhD
    Nanyang Technological University (NTU), Singapore

Professional Experiences

  • 2022-present

    Embodied AI Cluster Leader
    CSIRO, DATA61

  • 2019-present

    AI Portfolio Leader - Spatiotemporal
    CSIRO Machine Learning and Artificial Intelligence (MLAI) Future Science Platform

  • 2020-present

    Principal Research Scientist
    CSIRO Data61 Robotics and Autonomous Systems

  • 2020-2022

    Embodied AI Team Leader
    CSIRO Data61 Robotics and Autonomous Systems

  • 2020-2020

    Interim Champion for CSIRO Future Science and Technology
    Co-lead the development of the Robotics, IoT and Sensing (RIS) Cross-Cutting Capability (CCC)

  • 2017-2020

    Agtech Portfolio Lead for Robotics and Autonomous Systems
    CSIRO Data61 Robotics and Autonomous Systems

  • 2019-2019

    Visiting Scientist
    The University of Bonn

  • 2014-2016

    Research Scientist
    CSIRO, DATA61, Autonomous Systems Lab

  • 2011-2014

    Postdoctoral Fellow
    CSIRO, ICT Centre, Autonomous Systems Lab

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

Other highlights

  • 2020-2021

    Local Chair, the 4th edition of the Summer School on Cognitive Robotics

  • 2016-2020

    Technical Program Committee, International Conference on Digital Image Computing: Techniques and Applications (DICTA)

  • 2020-2020

    Workshop Co-chair 2nd edition of the Australian Robotics Roadmap – Agriculture Robotics

  • 2021-2022

    Senior Program Committee (SPC) Member for the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)

  • 2019--

    Symposium Chair "Future Horticulture Production Systems” at the TropAg 2019 Conference

  • 2016-2020

    Technical Program Committee, International Conference on Digital Image Computing: Techniques and Applications (DICTA)

  • 2019--

    Invited Speaker, Bosch Research, Renningen, Germany

  • 2018--

    Invited Speaker, the Global Forum for Innovations in Agriculture Conference

  • 2018--

    Invited Speaker, Hort Connections Conference

  • 2018--

    Invited Speaker, AgTech Summit Conference

  • 2012--

    Session Chair, IEEE International Conference on Robots and Systems (IROS), Vilamoura, Algarve, Portugal

  • 2014-2015

    Technical Program Committee, International Conference on Advances in Computer-Human Interactions (ACHI)

  • 2013-2016

    Associate Editor, IFAC Intelligent Autonomous Vehicles Symposium

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

Community and Corporate Citizenship

  • 2020-now

    IEEE Senior Member