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)

181 - 200 of 355 works

2010

Journal Article

Award winning papers from the 19th International Conference on Pattern Recognition (ICPR)

Duin, Robert P. W., Laurendeau, Denis and Lovell, Brian (2010). Award winning papers from the 19th International Conference on Pattern Recognition (ICPR). Pattern Recognition Letters, 31 (8), 649-649. doi: 10.1016/j.patrec.2010.02.002

Award winning papers from the 19th International Conference on Pattern Recognition (ICPR)

2010

Journal Article

Large‐scale traveling ionospheric disturbances impacting equatorial ionization anomaly development in the local morning hours of the Halloween Superstorms on 29–30 October 2003

Horvath, Ildiko and Lovell, Brian C. (2010). Large‐scale traveling ionospheric disturbances impacting equatorial ionization anomaly development in the local morning hours of the Halloween Superstorms on 29–30 October 2003. Journal of Geophysical Research - Space Physics, 115 (A04302) A04302, 1-13. doi: 10.1029/2009JA014922

Large‐scale traveling ionospheric disturbances impacting equatorial ionization anomaly development in the local morning hours of the Halloween Superstorms on 29–30 October 2003

2010

Journal Article

Corner detection based on gradient correlation matrices of planar curves

Zhang, XH, Wang, HX, Smith, AWB, Ling, X, Lovell, BC and Yang, D (2010). Corner detection based on gradient correlation matrices of planar curves. Pattern Recognition, 43 (4), 1207-1223. doi: 10.1016/j.patcog.2009.10.017

Corner detection based on gradient correlation matrices of planar curves

2010

Journal Article

Investigating the southern daytime midlatitude trough’s relation with the daytime Weddell Sea Anomaly during equinoxes

Horvath, Ildiko and Lovell, Brian C. (2010). Investigating the southern daytime midlatitude trough’s relation with the daytime Weddell Sea Anomaly during equinoxes. Journal of Geophysical Research, 115 (A01302) A01302, 1-15. doi: 10.1029/2008JA014002

Investigating the southern daytime midlatitude trough’s relation with the daytime Weddell Sea Anomaly during equinoxes

2010

Conference Publication

Robust foreground object segmentation via adaptive region-based background modelling

Reddy, Vikas, Sanderson, Conrad and Lovell, Brian C. (2010). Robust foreground object segmentation via adaptive region-based background modelling. 2010 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, 23-26 August 2010. Washington, DC, U.S.A.: IEEE Computer Society. doi: 10.1109/ICPR.2010.958

Robust foreground object segmentation via adaptive region-based background modelling

2010

Conference Publication

A framework for lab-based real-time video analysis on distributed camera networks

Dadgostar, Farhad, Bigdeli, Abbas, Mau, Sandra, Smith, Terence and Lovell, Brian (2010). A framework for lab-based real-time video analysis on distributed camera networks. 4th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2010, Atlanta, GA United States, 31 August - 4 September 2010. New York, NY United States: ACM (Association for Computing Machinery) Press. doi: 10.1145/1865987.1866028

A framework for lab-based real-time video analysis on distributed camera networks

2010

Conference Publication

Directed random subspace method for face recognition

Harandi, Mehrtash T., Ahmadabadi, Majid Nili, Araabi, Babak Nadjar, Bigdeli, Abbas and Lovell, Brian C. (2010). Directed random subspace method for face recognition. ICPR 2010: 20th International Conference on Pattern Recognition, Istanbul, Turkey, 23-26 August 2010. Piscataway, NJ, U.S.A.: IEEE - Institute for Electrical and Electronic Engineers. doi: 10.1109/ICPR.2010.659

Directed random subspace method for face recognition

2010

Conference Publication

Feature space Hausdorff distance for face recognition

Chen, Shaokang and Lovell, Brian C. (2010). Feature space Hausdorff distance for face recognition. 20th International Conference on Pattern Recognition (ICPR), 2010, Istanbul, Turkey, 23-26 August 2010. Piscataway, NJ, United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/ICPR.2010.362

Feature space Hausdorff distance for face recognition

2010

Conference Publication

Object tracking on FPGA-based smart cameras using local oriented energy and phase features

Norouznezhad, Ehsan, Bigdeli, Abbas, Postula, Adam and Lovell, Brian C. (2010). Object tracking on FPGA-based smart cameras using local oriented energy and phase features. International Conference on Distributed Smart Cameras (ICDSC 2010), Atlanta, GA, United States, 31 August - 4 September 2010. New York, United States: ACM. doi: 10.1145/1865987.1865993

Object tracking on FPGA-based smart cameras using local oriented energy and phase features

2010

Conference Publication

Adaptive patch-based background modelling for improved foreground object segmentation and tracking

Reddy, Vikas, Sanderson, Conrad, Sanin, Andres and Lovell, Brian (2010). Adaptive patch-based background modelling for improved foreground object segmentation and tracking. 2010 7th International Conference on Advanced Video and Signal-Based Surveillance, Boston, MA, United States, 29 August - 1 September 2010. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/AVSS.2010.84

Adaptive patch-based background modelling for improved foreground object segmentation and tracking

2010

Conference Publication

Video face matching using subset selection and clustering of probabilistic multi-region histograms

Mau, Sandra, Chen, Shaokang, Sanderson, Conrad and Lovell, Brian C. (2010). Video face matching using subset selection and clustering of probabilistic multi-region histograms. 25th International Conference of Image and Vision Computing (IVCNZ), Queenstown, New Zealand, 8 - 9 November 2010. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/IVCNZ.2010.6148860

Video face matching using subset selection and clustering of probabilistic multi-region histograms

2010

Conference Publication

Square patch feature based face detection architecture for high resolution smart camera

Mustafah, Yasir M., Bigdeli, Abbas, Azman, Amelia W. and Lovell, Brian C. (2010). Square patch feature based face detection architecture for high resolution smart camera. 4th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2010, Atlanta, GA United States, 31 August - 4 September 2010. New York, NY United States: ACM (Association for Computing Machinery) Press. doi: 10.1145/1865987.1866015

Square patch feature based face detection architecture for high resolution smart camera

2010

Conference Publication

Image-set face recognition based on transductive learning

Harandi, Mehrtash T., Bigdeli, Abbas and Lovell, Brian C. (2010). Image-set face recognition based on transductive learning. IEEE International Conference on Image Processing, Hong Kong, 26-29 September 2010. Piscataway, NJ, United States: IEEE - Computer Society. doi: 10.1109/ICIP.2010.5651105

Image-set face recognition based on transductive learning

2010

Conference Publication

Square patch feature: Faster weak-classifier for robust object detection

Mustafah, Yasir M., Bigdeli, Abbas, Azman, Amelia W., Dadgostar, Farhad and Lovell, Brian C. (2010). Square patch feature: Faster weak-classifier for robust object detection. 11th International Conference on Control Automation Robotics & Vision (ICARCV), 2010, Singapore, 7-10 December 2010. Piscataway, NJ, United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/ICARCV.2010.5707809

Square patch feature: Faster weak-classifier for robust object detection

2010

Conference Publication

Robust object tracking using local oriented energy features and its hardware/software implementation

Bigdeli, Abbas, Postula, Adam, Lovell, Brian C. and Norouznezhad, Ehsan (2010). Robust object tracking using local oriented energy features and its hardware/software implementation. 11th International Conference on Control Automation Robotics & Vision (ICARCV), 2010, Singapore, 7 - 10 December 2010. Piscataway, NJ, United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/ICARCV.2010.5707853

Robust object tracking using local oriented energy features and its hardware/software implementation

2010

Conference Publication

Dynamic amelioration of resolution mismatches for local feature based identity inference

Wong, Yongkang, Sanderson, Conrad, Mau, Sandra and Lovell, Brian C. (2010). Dynamic amelioration of resolution mismatches for local feature based identity inference. 2010 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, 23-26 August 2010. Washington, DC, U.S.A.: IEEE Computer Society. doi: 10.1109/ICPR.2010.299

Dynamic amelioration of resolution mismatches for local feature based identity inference

2010

Conference Publication

A Bayesian network-based framework with Constraint Satisfaction Problem (CSP) formulations for FPGA system design

Azman, .Amelia W., Bigdeli, Abbas, Mohd-Mustafah, Yasir, Biglari-Abhari, Morteza and Lovell, Brian C. (2010). A Bayesian network-based framework with Constraint Satisfaction Problem (CSP) formulations for FPGA system design. 21st IEEE International Conference on Application-specific Systems, Architectures and Processors, ASAP 2010, Rennes, France, 7 - 9 July 2010. Washington, DC United States: I E E E Computer Society. doi: 10.1109/ASAP.2010.5540784

A Bayesian network-based framework with Constraint Satisfaction Problem (CSP) formulations for FPGA system design

2010

Book Chapter

Intelligent surveillance and pose-invariant 2D face classification

Lovell, Brian C., Sanderson, Conrad and Shan, Ting (2010). Intelligent surveillance and pose-invariant 2D face classification. Machine interpretation of patterns: Image analysis and data mining. (pp. 207-229) edited by Rajat K. de, Deba Prasad Mandel and Ashish Ghosh. Singapore, Republic of Singapore: World Scientific. doi: 10.1142/9789814299190_0011

Intelligent surveillance and pose-invariant 2D face classification

2010

Conference Publication

Improved shadow removal for robust person tracking in surveillance scenarios

Sanin, Andres, Sanderson, Conrad and Lovell, Brian (2010). Improved shadow removal for robust person tracking in surveillance scenarios. International Conference on Pattern Recognition (20th, ICPR 2010), Istanbul, Turkey, 23-26 August 2010. Los Alamitos, CA, United States: IEEE. doi: 10.1109/ICPR.2010.43

Improved shadow removal for robust person tracking in surveillance scenarios

2009

Journal Article

Storm-enhanced plasma density features, daytime polar cap plasma enhancements, and their underlying plasma flows investigated during superstorms

Horvath, Ildiko and Lovell, Brian C. (2009). Storm-enhanced plasma density features, daytime polar cap plasma enhancements, and their underlying plasma flows investigated during superstorms. Journal of Geophysical Research, 114 (11) A11304, A11304.1-A11304.15. doi: 10.1029/2009JA014465

Storm-enhanced plasma density features, daytime polar cap plasma enhancements, and their underlying plasma flows investigated during superstorms

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

    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

  • 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

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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