Adjunct Professor
Peyman Moghadam

Profile image of Adjunct Professor Peyman Moghadam

Faculty of Engineering,
School of Electrical Engineering & Robotics


Personal details

Positions

Adjunct Professor
Faculty of Engineering,
School of Electrical Engineering & Robotics

Keywords

Deep Learning, Robotics, Embodied Intelligence, Self-Supervised Learning, Hyperspectral Perception, Thermal Perception, Machine Learning, SLAM, Multi-modal Learning, 3D multimodal Perception

Discipline

Artificial Intelligence and Image Processing, Other Engineering, Other Information and Computing Sciences

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Qualifications

  • PhD

Professional memberships and associations



 

For more information on Adjunct Prof Peyman Moghadam research activities visit website:

https://research.csiro.au/robotics/

We are currently seeking outstanding candidates to undertake PhD research in Deep Learning applied to Robotics visit website for more details:

https://research.csiro.au/robotics/work-with-us/undergrad-masters-and-phd-students/phds/

 

Experience

Publications

QUT ePrints

For more publications by Peyman, explore their research on ePrints (our digital repository).

View more publications

Supervision

Current supervisions