PeopleofSuperintelligence

Researcher

Clinton Fookes

Also known as C Fookes, C. FOOKES, C. Fookes, Clinton B. Fookes

Clinton Fookes is a computer-vision and machine-learning researcher whose work spans video analysis, biometrics and biosignal processing. He won Queensland's Young Tall Poppy award in 2009 and the Australian Museum Eureka Prize People's Choice Award in 2010 for computer-vision research with security applications. His work includes an attention-based LSTM for pedestrian prediction and abnormal-event detection in 2017, followed by a biosignal domain-generalization method in 2020. In 2020, he served as SmartSat's Artificial Intelligence Theme Leader and a QUT professor in Vision & Signal Processing, with qualifications in aerospace and avionics engineering, an MBA and a PhD in computer vision. IAPR and ATSE elected him a Fellow in 2024, and as of October 2026 he is Head of School of Electrical Engineering and Robotics at QUT, Professor in Vision & Signal Processing, and director of the SAIVT Lab.

Works
586
Citations
12,709
h-index
60

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 2009

    A Young Tall Poppy award

    He receives the 2009 Queensland Young Tall Poppy award for research applied to biometrics, intelligent surveillance, medical imaging, visual attention and airport security.

  2. 2010

    A Eureka People's Choice award

    The Australian Museum gives him its Eureka Prize People's Choice Award in 2010 for computer-vision work that recognises people and actions to improve public security.

  3. 2017

    Predicting pedestrian motion

    In 2017, he and his coauthors combine soft and hardwired attention in an LSTM to predict pedestrian motion and detect abnormal events.

  4. 2020

    SmartSat AI theme leader

    He serves as SmartSat's Artificial Intelligence Theme Leader and a QUT professor in Vision & Signal Processing. His qualifications include aerospace and avionics engineering, an MBA and a PhD in computer vision.

  5. November 2020

    Generalizing biosignal models

    In November 2020, he coauthors a biosignal classifier-fusion method that represents an unseen domain with a set of known basis domains.

  6. 2024

    An IAPR fellowship

    IAPR elects him a Fellow in 2024 for contributions across computer vision, machine learning, pattern recognition, video analysis, biometrics and biosignal processing.

  7. 2024

    An ATSE fellowship

    ATSE elects him a Fellow in 2024 for work across computer vision, machine learning, signal processing and artificial intelligence.

  8. As of October 2026

    Head of school at QUT

    He is Head of School of Electrical Engineering and Robotics at QUT, Professor in Vision & Signal Processing, and director of the SAIVT Lab.

Sources and credits

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  1. Dr Clinton Fookes - AIPS aips.org.au. Checked 15 October 2026.
  2. 2010 Australian Museum Eureka Prize winners australian.museum. Checked 15 October 2026.
  3. Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection arxiv.org. Checked 15 October 2026.
  4. Domain Generalization in Biosignal Classification arxiv.org. Checked 15 October 2026.
  5. Professor Clinton Fookes - SmartSat CRC smartsatcrc.com. Checked 15 October 2026.
  6. Chronological List of IAPR Fellows iapr.org. Checked 15 October 2026.
  7. Professor Clinton Fookes FTSE atse.org.au. Checked 15 October 2026.
  8. Building AI Without Boundaries events.humanitix.com. Checked 15 October 2026.