The School of Informatics brings together research in Computer Science, Cognitive Science, Computational Linguistics and Artificial Intelligence. It provides a fertile environment for a wide range of interdisciplinary studies, leading to this new science of Informatics.

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Recent Submissions

  • Developing a framework for semi-automated rule-based modelling for neuroscience research 

    Wysocka, Emilia Malgorzata (The University of Edinburgh, 2019-07-01)
    Dynamic modelling has significantly improved our understanding of the complex molecular mechanisms underpinning neurobiological processes. The detailed mechanistic insights these models offer depend on the availability ...
  • Probabilistic graph formalisms for meaning representations 

    Gilroy, Sorcha (The University of Edinburgh, 2019-07-01)
    In recent years, many datasets have become available that represent natural language semantics as graphs. To use these datasets in natural language processing (NLP), we require probabilistic models of graphs. Finite-state ...
  • Advances in scene understanding: object detection, reconstruction, layouts, and inference 

    Henderson, Paul Matthew (The University of Edinburgh, 2019-07-01)
    The goal of scene understanding is to capture the full content of an image in a human-interpretable representation. This must describe the different objects present, including their attributes such as class, shape, and ...
  • Learning natural language interfaces with neural models 

    Dong, Li (The University of Edinburgh, 2019-07-01)
    Language is the primary and most natural means of communication for humans. The learning curve of interacting with various devices and services (e.g., digital assistants, and smart appliances) would be greatly reduced ...
  • Lifecycle of neural semantic parsing 

    Cheng, Jianpeng (The University of Edinburgh, 2019-07-01)
    Humans are born with the ability to learn to perceive, comprehend and communicate with language. Computing machines, on the other hand, only understand programming languages. To bridge the gap between humans and computers, ...
  • Vision as inverse graphics for detailed scene understanding 

    Moreno Comellas, Pol (The University of Edinburgh, 2019-07-01)
    An image of a scene can be described by the shape, pose and appearance of the objects within it, as well as the illumination, and the camera that captured it. A fundamental goal in computer vision is to recover such ...
  • Low-resource learning in complex games 

    Dobre, Mihai Sorin (The University of Edinburgh, 2019-07-01)
    This project is concerned with learning to take decisions in complex domains, in games in particular. Previous work assumes that massive data resources are available for training, but aside from a few very popular games, ...
  • Permission impossible - the design and evaluation of a video game that teaches beginners about firewalls 

    Sehl, Sibylle Katharina (The University of Edinburgh, 2017-11-30)
    Firewalls are a complex piece of software that present challenges to novices and experienced users alike. Recent years have seen an increased need for computer security knowledge and awareness to prevent a growing number ...
  • Dimensionality reduction for EMG prediction of upper-limb activity in freely-behaving primates 

    Krasoulis, Agamemnon (The University of Edinburgh, 2013-11-28)
    Neural prosthetic systems aim to assist patients suffering from sensory, motor and other disabilities by translating neural brain activity into control signals for assistive devices, such as computers and robotics ...
  • Coarse preferences: representation, elicitation, and decision making 

    Andreadis, Pavlos (The University of Edinburgh, 2019-07-01)
    In this thesis we present a theory for learning and inference of user preferences with a novel hierarchical representation that captures preferential indifference. Such models of ’Coarse Preferences’ represent the space ...
  • Understanding mobile network quality and infrastructure with user-side measurements 

    Fida, Mah-Rukh; Rukh, Mah (The University of Edinburgh, 2019-11-29)
    Measurement collection is a primary step towards analyzing and optimizing performance of a telecommunication service. With an Mobile Broadband (MBB) network, the measurement process has not only to track the network’s ...
  • Active provenance for data intensive research 

    Spinuso, Alessandro (The University of Edinburgh, 2018-11-29)
    The role of provenance information in data-intensive research is a significant topic of discussion among technical experts and scientists. Typical use cases addressing traceability, versioning and reproducibility of the ...
  • Cryptographic techniques for hardware security 

    Tselekounis, Ioannis; Tselekounis, Yiannis (The University of Edinburgh, 2018-11-29)
    Traditionally, cryptographic algorithms are designed under the so-called black-box model, which considers adversaries that receive black-box access to the hardware implementation. Although a "black-box" treatment covers a ...
  • Neurocomputational model for learning, memory consolidation and schemas 

    Dupuy, Nathalie (The University of Edinburgh, 2018-11-29)
    This thesis investigates how through experience the brain acquires and stores memories, and uses these to extract and modify knowledge. This question is being studied by both computational and experimental neuroscientists ...
  • Distributed algorithms for optimized resource management of LTE in unlicensed spectrum and UAV-enabled wireless networks 

    Challita, Ursula (The University of Edinburgh, 2018-11-29)
    Next-generation wireless cellular networks are morphing into a massive Internet of Things (IoT) environment that integrates a heterogeneous mix of wireless-enabled devices such as unmanned aerial vehicles (UAVs) and ...
  • Exploring the readiness of students and English teachers to use e-learning for English as a foreign language in Saudi Arabia 

    Mutambik, Ibrahim Mohammed Othman (The University of Edinburgh, 2018-11-29)
    In an era of increased global investment in the use of technology in education generally, Saudi Arabia has intensified its quest to incorporate E-learning as a supplementary tool for English as a Foreign Language (EFL) ...
  • Machine learning for epigenetics: algorithms for next generation sequencing data 

    Mayo, Thomas Richard (The University of Edinburgh, 2018-07-02)
    The advent of Next Generation Sequencing (NGS), a little over a decade ago, has led to a vast and rapid increase in the generation of genomic data. The drastically reduced cost has in turn enabled powerful modifications ...
  • Computational models for multilingual negation scope detection 

    Fancellu, Federico (The University of Edinburgh, 2018-11-29)
    Negation is a common property of languages, in that there are few languages, if any, that lack means to revert the truth-value of a statement. A challenge to cross-lingual studies of negation lies in the fact that languages ...
  • Machine learning in compilers 

    Leather, Hugh (The University of Edinburgh, 2012)
    Designing a compiler so that it produces optimised code is a difficult task because modern processors are complex. Compiler writers need to spend months to finely tune a heuristic for any architecture, but whenever a new ...
  • Automatic skeleton-driven performance optimizations for transactional memory 

    Goes, Luís Fabrício Wanderley (The University of Edinburgh, 2012)
    The recent shift toward multi -core chips has pushed the burden of extracting performance to the programmer. In fact, programmers now have to be able to uncover more coarse -grain parallelism with every new generation of ...

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