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

  • Composing diverse policies for long-horizon tasks 

    Angelov, Daniel Angelov (The University of Edinburgh, 2021-11-30)
    Humans utilise a large diversity of control and reasoning methods to solve different robot manipulation and motion planning tasks. This diversity should be reflected in the strategies used by robots in the same domains. ...
  • Robustness of interaction control in robot swarms 

    Imrie, Calum Corrie (The University of Edinburgh, 2021-11-30)
    Robotics is making significant strides in its capabilities and is being integrated into many real-world tasks. Some of these are carried out in unpredictable and dynamic environments, for example, search and rescue ...
  • Hunting phish: an exploration of the human-based detection and management of phishing attacks 

    Althobaiti, Kholoud (The University of Edinburgh, 2021-11-30)
    Phishing communications aimed at deceiving people pose a severe threat for organisations, necessitating the need to focus on preventing potential victims from falling for phishing, as well as the formulation of policies ...
  • Neural semantic role labeling with more or less supervision 

    Cai, Rui (The University of Edinburgh, 2021-11-30)
    In recent years, thanks to the relative maturity of neural network models, the task of automatically identifying and labeling the semantic roles has been the focus of renewed interest. These models have the capacity to ...
  • Multi-task dynamical systems: customising time series models 

    Bird, Alex (The University of Edinburgh, 2021-11-30)
    Time series datasets are usually composed of a variety of sequences from the same domain, but from different entities, such as individuals, products, or organizations. We are interested in how time series models can be ...
  • Boosting graph computation with generic methods: partitioning and incrementalization 

    Xu, Ruiqi (The University of Edinburgh, 2021-11-30)
    In this thesis we develop a package of generic methods for boosting the velocity of graph computations, regarding partitioning and incrementalization. The former is to deal with the challenges of volume and velocity over ...
  • Applications of the free energy principle to machine learning and neuroscience 

    Millidge, Beren (The University of Edinburgh, 2021-11-30)
    In this thesis, we explore and apply methods inspired by the free energy principle to two important areas in machine learning and neuroscience. The free energy principle is a general mathematical theory of the necessary ...
  • Graph mining on static, multiplex and attributed networks 

    Rózemberczki, Benedek (The University of Edinburgh, 2021-11-30)
    Graph structured data is pervasive and generated by online human interactions at an unprece- dented velocity. Sophisticated features encoded by relational data, such as structure and relative proximity have unparalleled ...
  • Incentives in blockchain protocols 

    Stouka, Aikaterini-Panagiota (The University of Edinburgh, 2021-07-31)
    Bitcoin is a digital cryptocurrency supported by the blockchain protocol proposed by Nakamoto in 2008. The blockchain protocol offers a public transaction ledger, organized as a sequence of blocks of transactions. The ...
  • Developer factor in software privacy 

    Tahaei, Mohammad (The University of Edinburgh, 2021-11-30)
    Computer programming operates and controls our personal devices, cars, and infrastructures. These programs are written by software developers who use tools, software development platforms, and online resources to build ...
  • Accelerating software test execution using GPUs 

    Yaneva-Cormack, Vanya (The University of Edinburgh, 2021-07-31)
    Today, software is all around us, impacting our everyday lives in fundamental ways. Developing software whose behaviour is reliable, predictable and correct is therefore crucial. This has made software testing a critical ...
  • Value cocreation in health 

    Nnabuko, Uchenna Chioma (The University of Edinburgh, 2021-07-31)
    A shift in the focus of healthcare from diseases and treatment to wellness and prevention has contributed to the widespread acceptance and commitment to adopt preventive healthcare practices – including preventive health ...
  • Inverse power index problem: algorithms and complexity 

    Pavlou, Chrystalla (The University of Edinburgh, 2021-07-31)
    Weighted voting games are a family of cooperative games, typically used to model voting situations where a number of agents (players) vote against or for a proposal. In such games, a proposal is accepted if an appropriately ...
  • Training dynamics of neural language models 

    Saphra, Naomi (The University of Edinburgh, 2021-07-31)
    Why do artificial neural networks model language so well? We claim that in order to answer this question and understand the biases that lead to such high performing language models---and all models that handle language---we ...
  • Graph-based broad-coverage semantic parsing 

    Lyu, Chunchuan (The University of Edinburgh, 2021-07-31)
    Many broad-coverage meaning representations can be characterized as directed graphs, where nodes represent semantic concepts and directed edges represent semantic relations among the concepts. The task of semantic parsing ...
  • Using a quadcopter to model the visual navigation behaviours of flying insects 

    Stankiewicz, Jan (The University of Edinburgh, 2021-07-31)
    Micro aerial vehicles (MAVs) have become increasingly prominent in the last decade, with several sectors now routinely using this technology for applications such as filming, surveying and maintenance. A significant barrier ...
  • Algorithms for learning from spatial and mobility data 

    Astefanoaei, Maria (The University of Edinburgh, 2020-11-30)
    Data from the numerous mobile devices, location-based applications, and collection sensors used currently can provide important insights about human and natural processes. These insights can inform decision making in ...
  • Representational principles of function generalization 

    León-Villagrá, Pablo (The University of Edinburgh, 2020-11-30)
    Generalization is at the core of human intelligence. When the relationship between continuous-valued data is generalized, generalization amounts to function learning. Function learning is important for understanding human ...
  • Learning to adapt: meta-learning approaches for speaker adaptation 

    Klejch, Ondrej (The University of Edinburgh, 2020-11-30)
    The performance of automatic speech recognition systems degrades rapidly when there is a mismatch between training and testing conditions. One way to compensate for this mismatch is to adapt an acoustic model to test ...
  • Learning dynamic motor skills for terrestrial locomotion 

    Yang, Chuanyu (The University of Edinburgh, 2020-11-30)
    The use of Deep Reinforcement Learning (DRL) has received significantly increased attention from researchers within the robotics field following the success of AlphaGo, which demonstrated the superhuman capabilities of ...

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