Gustavo Carneiro

Professor Gustavo Carneiro

Professor

School of Computer Science

Faculty of Engineering, Computer and Mathematical Sciences

Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.

I have focused my research on the development and application of computer vision and machine learning techniques, with particular emphasis on medical image analysis problems.  For more details on the current (and past) research problems, please check this page. 

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  • Appointments
    Date Position Institution name
    2015 Associate Professor University of Adelaide
    2014 - 2015 Humboldt Experienced Researcher Technical University of Munich
    2011 - 2014 Senior Lecturer University of Adelaide
    2011 - 2011 Marie Curie International Incoming Fellow University of Lisbon
    2008 - 2010 Visiting Assistant Professor University of Lisbon
    2006 - 2008 Senior Research Scientist Siemens Corporate Research
    2004 - 2005 Postdoctoral Fellow University of British Columbia
    2004 - 2004 Postdoctoral Fellow University of California, San Diego

  • Language Competencies
    Language Competency
    English Can read, write, speak, understand spoken and peer review
    French Can read
    Portuguese Can read, write, speak, understand spoken and peer review
    Spanish; Castilian Can read and understand spoken

  • Education
    Date Institution name Country Title
    1999 - 2004 University of Toronto Canada PhD
    1997 - 1999 Instituto Militar de Engenharia Brazil MSc
    1992 - 1996 Universidade Federal do Rio de Janeiro Brazil Bachelor's degree

  • Research Interests
    Biomedical Engineering Computer Vision Knowledge Representation and Machine Learning

Centre of Excellence for Robotic Vision (ARC CoE 2014-2020)

Indo-Australian Biotechnology Fund (IABF) Project: New class of intelligent robotic imaging system for keyhole surgeries (2017-2020)

Discovery Project: Automated Analysis of Multi-modal Medical Data using Deep Belief Networks (ARC Discovery Project 2014-2016)

Linkage Infrastructure, Equipment and Facilities Project: Computational infrastructure for developing deep machine learning models (ARC LIEF 2016)

University of Adelaide - Interdisciplinary Research Fund Grant – Project Title: Novel Applications of Machine Learning in Healthcare (2016-2017). 

Automatic Quantification of Acute and Chronic Hypoxia in Tumors from Immunohistochemical Fluorescence Images using Deep Structured Inference (Humboldt Fellowship 2014-2015)

Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data (Portuguese Science Foundation FCT 2010-2012)

Printart: Where Computer Vision Meets Art (Portuguese Science Foundation FCT 2010-2012)

Learning to Combine Hierarchical Image Modeling with 2-D Segmentation and 3-D Pose Recovery of Visual Objects (Marie Curie International Incoming Fellowship 2010-2011)

University of Adelaide

​Instituto Superior Tecnico - University of Lisbon

University of Toronto

  • CSC 324 - Principles of Programming Languages (Fall 2004)
  • CSC 446, Computer Methods for Partial Differential Equations (TA) (Winter 2002). 
  • CSC 418, Computer Graphics (TA) (1999-2003).
  • CSC 458, Computer Networks (TA) (Winter 2000). 
  • CSC 258, Computer Organization (TA) (Summer 2000).
  • CSC 260, An Introduction to Scientific, Symbolic, and Graphical Computation (TA) (Winter 2003). 
  • SCI 199, Computer and Images. (TA) (2000-2001)
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  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2021 Principal Supervisor Training Deep Learning Models Using Closed and Open Set Noisy Labels Doctor of Philosophy Doctorate Full Time Mr Arpit Garg
    2021 Principal Supervisor Deep Transfer Learning Across Domains (Unsupervised Domain Adaption) Master of Philosophy Master Full Time Mr Hossein Askari Lyarjdameh
    2021 Principal Supervisor Solving Noisy Label learning problem in Medical Imaging Doctor of Philosophy Doctorate Full Time Mr Hoang Son Le
    2021 Principal Supervisor Active Learning for Noisy Label Master of Philosophy Master Full Time Mr Dung Anh Hoang
    2021 Principal Supervisor Medical Image Analysis, Machine Learning, Deep Learning, Computer Vision, Image Processing Doctor of Philosophy Doctorate Full Time Mr Chong Wang
    2021 Principal Supervisor Unsupervised Anomaly Detection and Localisation in Real-world Images Doctor of Philosophy Doctorate Full Time Mr Yuanhong Chen
    2020 Principal Supervisor large-scale interval cancer detection in mammograms with an interpretable and explainable model Doctor of Philosophy Doctorate Full Time Michael Llewellyn Mogford
    2020 Principal Supervisor Solving semi-supervised segmentation problem via noisy-label learning perspective Doctor of Philosophy Doctorate Full Time Mr Yuyuan Liu
    2020 Co-Supervisor Computer Vision and Machine Learning for Navigation and Planning Doctor of Philosophy Doctorate Full Time Mr Sam Bahrami
    2020 Principal Supervisor Adapting deep learning for real-world image datasets Doctor of Philosophy Doctorate Full Time Mr Fengbei Liu
    2019 Principal Supervisor Medical Machine Learning Doctor of Philosophy Doctorate Full Time Mr Yu Tian
    2019 Co-Supervisor Using Machine Learning to Predict Indicators of Glaucoma Progression Doctor of Philosophy Doctorate Full Time Mr Ryan Pham
    2019 Principal Supervisor Investigating Cancer Genomic Evolution and Personalised Therapies with Machine Learning Doctor of Philosophy Doctorate Part Time Mr Po Liu
    2018 Principal Supervisor Computer Vision and Machine Learning Doctor of Philosophy Doctorate Full Time Mr Cuong Cao Nguyen
    2018 Principal Supervisor Discovering and Localizing Biomarkers Associated with Chronic and Age-Related Diseases for Computed Tomographic Scans Doctor of Philosophy Doctorate Full Time Mr Renato Hermoza Aragones
    2018 Co-Supervisor Deep Learning for Screening Mammography Master of Clinical Science Master Part Time Dr James John Joseph Condon
    2016 Co-Supervisor Radiomics and Deep learning methods to identify chronic disease in medical images Doctor of Philosophy Doctorate Part Time Mr Luke Oakden-Rayner

  • Past Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2019 - 2019 Principal Supervisor Efficient Deep Learning Models with Autoencoder Regularization and Information Bottleneck Compression Master of Philosophy Master Full Time Mr Jerome Oskar Williams
    2017 - 2020 Co-Supervisor Endoscopy-Focused Primary, Secondary and Tertiary Prevention of Colorectal Cancer Doctor of Philosophy under a Jointly-awarded Degree Agreement with Doctorate Full Time Dr Leonardo Zorron Cheng Tao Pu
    2017 - 2020 Co-Supervisor Self-Supervised Learning for Geometry Doctor of Philosophy Doctorate Full Time Mr Huangying Zhan
    2016 - 2020 Principal Supervisor Bayesian Data Augmentation and Generative Active Learning for Robust Imbalanced Deep Learning Doctor of Philosophy Doctorate Full Time Mr Toan Minh Tran
    2016 - 2020 Principal Supervisor Data Augmentation for Multi-domain and Multi-model Generalised Zero-shot Learning Doctor of Philosophy Doctorate Full Time Dr Rafael Felix Alves
    2015 - 2018 Principal Supervisor Pre-hoc and Post-hoc Diagnosis and Interpretation of Breast Magnetic Resonance Volumes Doctor of Philosophy Doctorate Full Time Mr Gabriel Maicas
    2015 - 2020 Principal Supervisor Single View 3D Reconstruction using Deep Learning Doctor of Philosophy Doctorate Part Time Adrian Robert Johnston
    2013 - 2017 Principal Supervisor Methods for Understanding and Improving Deep Learning Classification Models Doctor of Philosophy Doctorate Full Time Dr Zhibin Liao
    2013 - 2017 Co-Supervisor Moving Least Squares Registration in Computer Vision: New Applications and Algorithms Doctor of Philosophy Doctorate Full Time Mr Xiang Liu
    2013 - 2016 Principal Supervisor Automated Detection, Segmentation and Classification of Masses from Mammograms using Deep Learning Doctor of Philosophy Doctorate Full Time Mr Neeraj Dhungel
    2011 - 2016 Principal Supervisor Medical Image Segmentation Combining Level Set Method and Deep Belief Networks Doctor of Philosophy Doctorate Full Time Mr Tuan Anh Ngo
  • Position: Professor
  • Phone: 83136164
  • Email: gustavo.carneiro@adelaide.edu.au
  • Fax: 8313 4366
  • Campus: North Terrace
  • Building: Australian Institute for Machine Learning, floor 1
  • Room: 1.07.A
  • Org Unit: Australian Institute for Machine Learning
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