Sourav Garg

Dr Sourav Garg

Grant-Funded Researcher (B)

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

Sourav works at the intersection of robotic vision and machine learning, enabling robots to see, understand and act in their environment as an intelligent embodied agent.

He completed his Phd at QUT, Australia, with pioneering research in the twin challenge of Visual Place Recognition that requires dealing with variations in scene appearance and camera viewpoint simultaneously. His award-winning research and PhD thesis proposed novel ways of robot localization based on visual semantics, inspired by humans.

Sourav's thesis received Executive Dean's Commendation for Outstanding Thesis Award and his research published in International Journal of Robotics Research (IJRR) won the Higher Degree Research Student Publication Prize. He was deemed a Distinguished Talent by the Department of Home Affairs, Australia for his research and achievements in robotics as a future-focused technology sector. As an active researcher, he regularly publishes in top-tier conferences and journals including RA-L, ICRA, IROS, CoRL, CVPR, ICCV, ECCV, and ICLR. His research has also been covered by numerous social media platforms including Brisbane Times, Engineers Australia Create Magazine, Tech Xplore and ARC.

  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2023 Co-Supervisor Embodied AI: Navigating and Decoding Complexity Doctor of Philosophy Doctorate Full Time Harrison Alexander Inglis
    2023 Co-Supervisor 3D Scene Understanding and Change Tracking Doctor of Philosophy Doctorate Full Time Mr Chun-Jung Lin
  • Position: Grant-Funded Researcher (B)
  • Phone: 83132506
  • Email:
  • Campus: Lot 14
  • Building: Australian Institute for Machine Learning Building, floor Lower Ground
  • Org Unit: Faculty of Sciences, Engineering and Technology

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