About this community

Current research areas include bioinformatics, computer architecture, computer vision, distributed systems, graphics and human-computer interaction, logic and semantics, machine learning, natural language processing, networking and wireless communication, operating systems and virtualization, programming, security, and sustainable computing

The Computer Laboratory undertakes research in a broad range of subjects within the disciplines of Computer Science, Engineering, Technology, and Mathematics. Current research areas include bioinformatics, computer architecture, computer vision, distributed systems, graphics and human-computer interaction, logic and semantics, machine learning, natural language processing, networking and wireless communication, operating systems and virtualization, programming, security, and sustainable computing.

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Recent Submissions

  • Leaving on a jet plane: the trade in fraudulently obtained airline tickets 

    Hutchings, Alice (Springer Nature, 2018-05-08)
    Every day, hundreds of people fly on airline tickets that have been obtained fraudulently. This crime script analysis provides an overview of the trade in these tickets, drawing on interviews with industry and law enforcement, ...
  • Deep dip teardown of tubeless insulin pump 

    Skorobogatov, Sergei Petrovich
    This paper introduces a deep level teardown process of a personal medical device - the OmniPod wireless tubeless insulin pump. This starts with mechanical teardown exposing the engineering solutions used inside the device. ...
  • The bumpy road towards iPhone 5c NAND mirroring 

    Skorobogatov, Sergei Petrovich
    This paper is a short summary of a real world mirroring attack on the Apple iPhone 5c passcode retry counter under iOS 9. This was achieved by desoldering the NAND Flash chip of a sample phone in order to physically access ...
  • On the Reduction of Computational Complexity of Deep Convolutional Neural Networks 

    Maji, Partha; Mullins, Robert David (MDPI AG, 2018-04)
    Deep convolutional neural networks (ConvNets), which are at the heart of many new emerging applications, achieve remarkable performance in audio and visual recognition tasks. Unfortunately, achieving accuracy often requires ...

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