The University of Southampton

Welcome to the Vision, Learning and Control (VLC) research group. We are a highly numerate team covering much of the central theory in Electronics, Electrical Engineering and Computer Science. We cover a rich spread of technological areas encompassing control, machine learning and computer vision with a sizeable number of academic staff, PhD researchers and postdocs. 

  • 18 January 2021

    Southampton 'space archaeology' solution...

    Postgraduate researcher Iris Kramer from the University of Southampton is being supported by the Royal Academy of Engineering as she scales deep learning software that identifies buried ancient sites from space.

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  • 8 January 2021

    AI-powered archaeology and team sports insight...

    Innovative technologies developed by computer scientists at the University of Southampton will be unveiled in an online edition of the world’s largest and most influential technology show, CES 2021.

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  • 30 October 2020

    AI archaeologist tops triple investment success...

    Archaeologist turned computer scientist Iris Kramer secured a record-breaking £770,000 valuation for her deep learning tool for archaeological surveys in a Dragons Den-style event at the University of Southampton.

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  • Publications archive

    Recent VLC publications

    Face profile biometric enhanced by eyewitness testimonies - Malak Alamri and Sasan Mahmoodi
    Type: Conference or Workshop Item | 2022 | Item availability restricted.
    Modelling digital and manual contact tracing for COVID-19.: Are low uptakes and missed contacts deal-breakers? - Andrei Rusu, Rémi Emonet and Katayoun Farrahi
    Type: Article | 2021
    On distinctiveness and symmetry in ear biometrics - Di Meng, Mark Nixon and Sasan Mahmoodi
    Type: Article | 2021
    Facial profiles recognition using comparative facial soft biometrics - Malak Alamri and Sasan Mahmoodi
    Type: Conference or Workshop Item | 2020
    On quantifying the role of exogenous macro-economic information in machine learning for modelling financial data - Luis Jairo Montesdeoca Bermudez
    Type: Thesis | 2020 | University of Southampton