Michele Sasdelli

Michele Sasdelli

Postdoctoral Research Fellow

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.


My research focus is quantum computing for machine learning and computer vision and learning theory for deep

learning. Over the years I explored a number of different fields. I have expertise in computer vision, machine

learning, deep learning, MC simulations, astrophysics, spectroscopy, radiative transfer. My last years

have been devoted to quantum machine learning.

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

    Date Role Research Topic Program Degree Type Student Load Student Name
    2022 Co-Supervisor Defending Deep Neural Networks against Adversarial Examples. Doctor of Philosophy Doctorate Full Time Mr Andrew Patrick Du
    2021 Principal Supervisor Realisation of Deep Learning Algorithms and Computer Vision on Quantum Computers Doctor of Philosophy Doctorate Full Time Ms Fengyi Yang
  • Past Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2019 - 2019 Co-Supervisor Efficient Deep Learning Models with Autoencoder Regularization and Information Bottleneck Compression Master of Philosophy Master Full Time Mr Jerome Oskar Williams
    2018 - 2020 Co-Supervisor Data Augmentation for Multi-domain and Multi-model Generalised Zero-shot Learning Doctor of Philosophy Doctorate Full Time Dr Rafael Felix Alves
  • Position: Postdoctoral Research Fellow
  • Email: michele.sasdelli@adelaide.edu.au
  • Campus: North Terrace
  • Building: Australian Institute for Machine Learning, floor 2
  • Org Unit: Australian Institute for Machine Learning - Operations

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