Professor Brian Lovell
Professor

Brian Lovell

Email: 
Phone: 
+61 7 336 54134

Background

Brian C. Lovell, born in Brisbane, Australia in 1960, received his BE in Electrical Engineering (Honours I) in 1982, BSc in Computer Science in 1983, and PhD in Signal Processing in 1991, all from the University of Queensland (UQ). Currently, he is the Project Leader of the Advanced Surveillance Group at UQ. Professor Lovell served as the President of the International Association of Pattern Recognition from 2008 to 2010, is a Senior Member of the IEEE, a Fellow of the IEAust, Fellow of the Asia-Pacific AI Association, and has been a voting member for Australia on the Governing Board of the International Association for Pattern Recognition since 1998.

He is an Honorary Professor at IIT Guwahati, India; an Associate Editor of the Pattern Recognition Journal; an Associate Editor-in-Chief of the Machine Learning Research Journal; a member of the IAPR TC4 on Biometrics; and a member of the Awards Committee and Education Committee of the IEEE Biometrics Council.

In addition, Professor Lovell has chaired and co-chaired numerous international conferences in the field of pattern recognition, including ICPR2008, ACPR2011, ICIP2013, ICPR2016, and ICPR2020. His Advanced Surveillance Group has collaborated with port, rail, and airport organizations, as well as several national and international agencies, to develop technology-based solutions for operational and security concerns.

His current research projects are in the fields of:

  • Artificial Intelligence
  • StyleGAN
  • Stable Diffusion
  • Deep Learning
  • Biometrics
  • Robust Face Recognition using Deep Learning
  • Masked Face Recognition for COVID-19 Pandemic
  • Adversarial Attacks on AI Systems
  • Digital Pathology
  • Neurofibroma Detection and Assessment
  • Object Detection with Deep Learning

I am actively recruiting PhD students in Artificial Intelligence to work with my team. If you are interested and have a strong record from a good university, with a publication in a good conference such as CVPR, ICCV, ECCV, or MICCAI please send your CV to me. Full Scholarships (Tuition and Living) can be awarded within one month for truly exceptional candidates.

Availability

Professor Brian Lovell is:
Available for supervision
Media expert

Fields of research

Artificial intelligence Computer vision Computer vision and multimedia computation Engineering Image processing Information and Computing Sciences Pattern recognition

Qualifications

  • Bachelor (Honours) of Engineering, The University of Queensland
  • Bachelor of Science, The University of Queensland
  • Doctor of Philosophy, The University of Queensland

Research interests

  • Face Recognition with Deep Learning

    We develop new technologies to improve face recognition. Our group is first in the world to develop face recognition databases based entirely on synthetic faces. Other aspects of face recognition and affective computing (determining emotions from facial expressions) are current research themes within the group.

  • Object Detection Using Deep Learning

    We are researching improved techniques to identify small objects with high precision

  • Synthetic Face and Image Generation

    We were the first to investigate training face recognition systems on synthetic faces.

Research impacts

I have been pleased that my biometrics and other research has and is being been adopted commercially worldwide. My earlier face recognition systems have been installed by the University of San Francisco and Swinburne University among many other sites. More recently we have developed face recognition systems that are insensitive to the wearing of masks. These systems depend on our EDITH Ethical Face database of synthetic faces. To the best of our knowledge, we are the only group worldwide who can synthesise faces to order to train advanced ethical face recognition systems.

These systems have been adopted in the UK in 2020 by Facewatch Ltd and are currently being considered by the UK National Health Service and also Queensland Health to manage COVID 19 quarantine facilities and border control. In 2020-2021 we developed a touchless face mask fitting system for health workers to reduce the wastage of PPE and improve COVID19 management. This system is deployed on Queensland Health IT infrastructure in February 2021 and is planned to be made available nationally and internationally. The system has the potential to save millions of dollars in wasted PPE.

PRIZES, HONOURS AND AWARDS

Fellow of the IAPR, 2008 Multiple Best Paper prizes. Awarded Certificate of Recognition as most downloaded author at UQ by UQCybrary. Over 26,000 copies of my research papers were downloaded from the UQ EPrints archive in the 12 months ending May, 2005. APICTA Trophy for Best Research and Development, 2011, Face Recognition in a Crowd IFSEC Trophy 2011, Best CCTV Product of the Year (excluding cameras and lens), Face Recognition in a Crowd Technology Winner, ADS Security Innovation Award, 2021, Galahad facial detection and recognition software, awarded by the UK Home Office at the Security and Policing Show on March 9, 2021.

Search Professor Brian Lovell’s works on UQ eSpace

355 works between 1988 and 2025
All (355) Journal Article (104) Book Chapter (19) Conference Publication (222) Book (1) Other Outputs (3) Edited Outputs (6)

261 - 280 of 355 works

2005

Conference Publication

Automatic Segmentation and Recognition of Bank Cheque Fields

Madasu, Vamsi K. and Lovell, Brian C. (2005). Automatic Segmentation and Recognition of Bank Cheque Fields. Digital Image Computing: Techniques and Applications (DICTA 20005), Cairns, 6-8 December, 2005. Los Altimos, CA: IEEE CS Press. doi: 10.1109/DICTA.2005.1578131

Automatic Segmentation and Recognition of Bank Cheque Fields

2005

Conference Publication

Visual Odometry for Quantitative Bronchoscopy Using Optical Flow

Wilson, S., Lovell, B. C., Chang, A. and Masters, B. (2005). Visual Odometry for Quantitative Bronchoscopy Using Optical Flow. APRS Workshop on Digital Image Computing 2005, Brisbane, Australia, 21 February, 2005. Birsbane, Australia: University of Queensland.

Visual Odometry for Quantitative Bronchoscopy Using Optical Flow

2005

Conference Publication

Pedestrian Tracking Based on Colour and Spatial Information

Seitner, Florian H. and Lovell, Brian C. (2005). Pedestrian Tracking Based on Colour and Spatial Information. Digital Image Computing: Techniques and Applications (DICTA 2005), Cairns, Australia, 6-8 December, 2005. Los Alamitos, CA: IEEE CS Press. doi: 10.1109/DICTA.2005.1578105

Pedestrian Tracking Based on Colour and Spatial Information

2005

Conference Publication

Homogenised Virtual Support Vector Machines

Walder, C. J. and Lovell, B. C. (2005). Homogenised Virtual Support Vector Machines. Digital Image Computing: Techniques and Applications (DICTA 2005), Cairns, QLD Australia, 6-8 December 2005. Los Alamitos, CA United States: IEEE. doi: 10.1109/DICTA.2005.43

Homogenised Virtual Support Vector Machines

2005

Conference Publication

A Study of the Optimality of Approximate Maximum Likelihood Estimation

McKinnon, D. N. R. and Lovell, B. C. (2005). A Study of the Optimality of Approximate Maximum Likelihood Estimation. APRS Workshop on Digital Image Computing (WFIC 2005), Brisbane, Australia, 21 February, 2005. Brisbane, Australia: The University of Queensland.

A Study of the Optimality of Approximate Maximum Likelihood Estimation

2005

Conference Publication

Hand gesture extraction by active shape models

Liu, Nianjun and Lovell, Brian C. (2005). Hand gesture extraction by active shape models. Digital Image Computing: Techniques and Applications (DICTA 2005), Cairns, Australia, 6-8 December, 2005. Los Alamitos, CA, USA: IEEE CS Press. doi: 10.1109/DICTA.2005.1578108

Hand gesture extraction by active shape models

2005

Conference Publication

Hand Printed Character Recognition Using Neural Networks

Madasu, Vamsi K., Lovell, Brian C. and Hanmandlu, Madasu (2005). Hand Printed Character Recognition Using Neural Networks. International Conference on Cognition and Recognition, Mysore, India, 22-23 December, 2005.

Hand Printed Character Recognition Using Neural Networks

2005

Book Chapter

Hidden Markov models for spatio-temporal pattern recognition

Lovell, Brian C. and Caelli, Terry (2005). Hidden Markov models for spatio-temporal pattern recognition. Handbook of pattern recognition and computer vision. (pp. 25-40) edited by C. H. Chen and P. S. P. Wang. Singapore: World Scientific Publications. doi: 10.1142/9789812775320_0002

Hidden Markov models for spatio-temporal pattern recognition

2005

Journal Article

A First Order Predicate Logic Formulation of the 3D Reconstruction Problem and its Solution Space

Robinson, M., Kubik, K. and Lovell, B. (2005). A First Order Predicate Logic Formulation of the 3D Reconstruction Problem and its Solution Space. International Journal of Pattern Recognition and Artificial Intelligence, 19 (1), 45-62. doi: 10.1142/S0218001405003910

A First Order Predicate Logic Formulation of the 3D Reconstruction Problem and its Solution Space

2005

Edited Outputs

Digital image computing: Techniques and applications

Lovell, Brian C., Maeder, Anthony J., Caelli, Terry and Ourselin, Sebastien eds. (2005). Digital image computing: Techniques and applications. DICTA 2005: Digital Image Computing Techniques and Applications, Cairns, Qld., Australia, 6-8 December, 2005. Los Alamitos, Calif.: IEEE.

Digital image computing: Techniques and applications

2005

Conference Publication

Real-Time Quantitative Bronchoscopy

Wilson, Simon, Lovell, Brian C., Chang, Anne and Masters, Brent (2005). Real-Time Quantitative Bronchoscopy. Digital Image Computing: Techniques and Applications (DICTA 2005), Cairns, Australia, 6-8 December, 2005. Los Alamitos, CA.: IEEE CS Press.

Real-Time Quantitative Bronchoscopy

2005

Conference Publication

Person Location Service on the Planetary Sensor Network

Shan, Ting, Lovell, Brian C. and Chen, Shaokang (2005). Person Location Service on the Planetary Sensor Network. APRS Workshop on Digital Image Computing, Brisbane, 21 February, 2005. Brisbane, Austrlaia: The Australian Pattern Recognition Society.

Person Location Service on the Planetary Sensor Network

2005

Conference Publication

Automatic Handwritten Signature Verification System for Australian Passports

Madasu, Vamsi K., Lovell, Brian C. and Kubik, Kurt (2005). Automatic Handwritten Signature Verification System for Australian Passports. Science, Engineering and Technology Summit on Counter-Terrorism Technology, Canberra, 14 July, 2005.

Automatic Handwritten Signature Verification System for Australian Passports

2005

Conference Publication

Visual tracking for sports applications

Smith, Andrew W. B. and Lovell, Brian C. (2005). Visual tracking for sports applications. APRS Workshop on Digital Image Computing, Brisbane, 21 February, 2005. St Lucia, Australia: The University of Queensland.

Visual tracking for sports applications

2005

Conference Publication

Robust face recognition for data mining

Lovell, Brian C. and Chen, Shaokang (2005). Robust face recognition for data mining. APRS Workshop on Digital Image Computing, Brisbane, Australia, 21st February, 2005. St Lucia, Australia: The University of Queensland.

Robust face recognition for data mining

2005

Conference Publication

Combining Generative and Discriminative Learning for Face Recognition

Chen, Shaokang, Lovell, Brian C. and Shan, Ting (2005). Combining Generative and Discriminative Learning for Face Recognition. Digital Image Computing: Techniques and Applications (DICTA 2005), Cairns, 6-8 December, 2005. Los Alamitos, CA, USA: IEEE CS Press. doi: 10.1109/DICTA.2005.1578103

Combining Generative and Discriminative Learning for Face Recognition

2005

Edited Outputs

Digital Image Computing: Techniques and Applications (DICTA 2005)

B. C. Lovell, A. J. Maeder, T. Caelli and S. Ourselin eds. (2005). Digital Image Computing: Techniques and Applications (DICTA 2005). Digital Imaging Computing: Techniques and Applications (DICTA 2005), Cairns, QLD Australia, 6-8 December 2005. Los Alamitos, CA United States: IEEE Computer Society.

Digital Image Computing: Techniques and Applications (DICTA 2005)

2004

Journal Article

Tensor algebra: A combinatorial approach to the projective geometry of figures

McKinnon, David N. R. and Lovell, Brian C. (2004). Tensor algebra: A combinatorial approach to the projective geometry of figures. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3322, 558-567. doi: 10.1007/978-3-540-30503-3_41

Tensor algebra: A combinatorial approach to the projective geometry of figures

2004

Journal Article

Comparing and Evaluating HMM Ensemble Training Algorithms Using Train and Test and Condition Number Criteria

Davis, Richard I. A. and Lovell, Brian C. (2004). Comparing and Evaluating HMM Ensemble Training Algorithms Using Train and Test and Condition Number Criteria. Pattern Analysis and Applications, 6 (4), 327-335. doi: 10.1007/s10044-003-0198-6

Comparing and Evaluating HMM Ensemble Training Algorithms Using Train and Test and Condition Number Criteria

2004

Conference Publication

An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction

Leung, C. W., Appleton, B. C., Lovell, B. C. and Sun, C. (2004). An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction. International Conference on Pattern Recognition, Cambridge, United Kingdom, 23-26 August. Los Alamitos, California: IEEE Computer Society. doi: 10.1109/ICPR.2004.1333708

An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction

Current funding

  • 2024 - 2029
    Application of AI/Machine Learning, computer vision and automated systems
    UniQuest Pty Ltd
    Open grant
  • 2024 - 2026
    The Neurofibromatosis type 1 (NF1) Cutaneous Neurofibroma Consortium: Identifying Genetic modifiers of disease burden to inform treatment pathways (MRFF Neurofibromatosis led by Uni Newcastle)
    University of Newcastle
    Open grant

Past funding

  • 2021 - 2025
    UQAI Scholarship
    AR Live Systems Ltd
    Open grant
  • 2020 - 2021
    N95 Mask Fitment
    Queensland Health
    Open grant
  • 2019 - 2021
    AR Live Face Recognition and AI Project
    AR Live Systems Ltd
    Open grant
  • 2019 - 2021
    Justified Autonomous Unmanned Aerial System Effect (Defence CRC for Trusted Autonomous Systems project led by Skyborne Technologies Pty Ltd)
    Skyborne Technologies Pty Ltd
    Open grant
  • 2019
    Development of a standalone program for the automation of quantitative fractography - 2
    Commonwealth Defence Science and Technology Group
    Open grant
  • 2019
    Expanding Wiener, a high performance GPU cluster
    UQ Research Facilities Infrastructure Grants
    Open grant
  • 2018 - 2020
    Digitisation and image recognition in environmental chemistry
    UniQuest Pty Ltd
    Open grant
  • 2017 - 2022
    Fusion of Digital Microscopy and Plain Text Reports for Automated Analysis
    ARC Linkage Projects
    Open grant
  • 2017 - 2018
    Further development of a demonstrator for the automation of quantitative fractography
    Commonwealth Defence Science and Technology Group
    Open grant
  • 2017 - 2019
    Vision based automated corrosion analysis for galvanised steel lattice towers
    UniQuest Pty Ltd
    Open grant
  • 2016 - 2017
    Development of a demonstrator for the automation of quantitative fractography
    Commonwealth Defence Science and Technology Group
    Open grant
  • 2015
    ILC Coal Carry Back Project
    Australian Mathematical Sciences Institute Industry Internship Program
    Open grant
  • 2014 - 2015
    AMSI computer vision project
    Australian Mathematical Sciences Institute Industry Internship Program
    Open grant
  • 2013 - 2017
    Application of manifold-based image analysis to identify subtle changes in digitally-captured pathology samples
    ARC Linkage Projects
    Open grant
  • 2013
    AMSI Internship Program - Vehicle number plate identification
    Australian Mathematical Sciences Institute Industry Internship Program
    Open grant
  • 2013 - 2014
    Investigating repeatable ionospheric features during large space storms and superstorms
    United States Asian Office of Aerospace Research and Development
    Open grant
  • 2012 - 2016
    Forensic reasoning and uncertainty: Identifying pattern and impression expertise
    ARC Linkage Projects
    Open grant
  • 2011 - 2013
    Baseline Rail Level Crossing Video (R2.119)
    CRC for Rail Innovation
    Open grant
  • 2010 - 2012
    Assessing error in forensic identification: The development of scientific and legal standards of evidence
    UQ Collaboration and Industry Engagement Fund
    Open grant
  • 2007 - 2009
    Markov field theory applied to sensor networks analysis and design (ARC DP0772218 administered by University of South Australia)
    University of South Australia
    Open grant
  • 2006 - 2008
    Intelligent Closed Circuit TV (ICCTV) project
    National ICT Australia Ltd (NICTA)
    Open grant
  • 2004
    ARC Network in Imaging Science and Technology
    ARC Seed Funding for Research Networks
    Open grant
  • 1996
    Development of metrics for texture classification algorithms
    University of Queensland New Staff Research Grant
    Open grant

Availability

Professor Brian Lovell is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Advanced Strategies to Alleviate Challenges of Data Scarcity in Deep Learning for Medical Image Analysis

    Principal Advisor

    Other advisors: Associate Professor Marcus Gallagher

  • Doctor Philosophy

    Out-of-Distribution Generalisation and Detection in Feature Embedding Space

    Principal Advisor

    Other advisors: Associate Professor Mahsa Baktashmotlagh

  • Doctor Philosophy

    Modelling cloud movement to generate short term solar irradiance predictions and subsequent expected PV power production

    Associate Advisor

    Other advisors: Professor Eve McDonald-Madden, Dr Hui Ma

  • Doctor Philosophy

    Pose Estimation for Human with Disabilities

    Associate Advisor

    Other advisors: Dr Xin Yu

  • Doctor Philosophy

    Generating data-driven continuous optimization problems for benchmarking

    Associate Advisor

    Other advisors: Associate Professor Marcus Gallagher

Completed supervision

Enquiries

Contact Professor Brian Lovell directly for media enquiries about:

  • Artificial Intelligence
  • Biometrics
  • Border control
  • Computer modelling
  • Computer vision
  • Deep Learning
  • Face Recognition
  • Face-recognition technology
  • Identification technology
  • Image processing
  • Information technology
  • National security surveillance
  • Networks - neural
  • Neural networks - artificial
  • Pattern Recognition
  • Pattern recognition - digital imaging
  • Signal Processing
  • Wearable Technologies

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