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Doctor of Philosophy (University of New South Wales)
Maryam Haghighat is a lecturer at the QUT School of Electrical Engineering and Robotics. She received her PhD from the UNSW School of Electrical Engineering and Telecommunications, Australia. Her doctoral research in image processing at the "Interactive Visual Media Processing" lab, was recognised by the 2020 UNSW Award for Outstanding Doctoral Thesis.
Following her PhD, Maryam joined the Big Data Institute (BDI), Department of Engineering Science, University of Oxford, UK, as a postdoctoral researcher from 2020 to 2022. As a key member of PathLAKE project funded by InnovateUK, she led development of machine learning algorithms for medical image analysis.
In 2022, Maryam conducted research jointly across the CSIRO Machine Learning and Artificial Intelligence Future Science Platform and the Mineral Resources Business Unit in hyperspectral deep learning.
Maryam is currently leading projects in machine learning and computer vision with applications in robotics, healthcare, and remote sensing.
Additional information
- PhD, Principal Supervisor
Other supervisors: Professor Clinton Fookes, Associate Professor Simon Denman - Deep Spatial-Spectral Representation Learning for Hyperspectral Data
PhD, Associate Supervisor
Other supervisors: Emeritus Professor Sridha Sridharan, Adjunct Professor Peyman Moghadam, Professor Clinton Fookes, Dr Tharindu Fernando Warnakulasuriya