Doctoral Theses (Mathematical & Computer Sciences)

 

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Recent Submissions

  • Mathematical models of infectious diseases in ungulate populations 

    O'Neill, Xander (Heriot-Watt University Mathematics and Computer Sciences, 2021-10)
    In this thesis we develop a suite of mathematical models to understand the epidemiological dynamics of infectious diseases in ungulate hosts. Using ordinary differential equation frameworks, we explored the key routes of ...

  • Computer-aided biomimetics : semi-open relation extraction from scientific biological texts 

    Kruiper, Ruben (Heriot-Watt University Mathematical and Computer Sciences, 2020-12)
    Engineering inspired by biology – recently termed biom* – has led to various ground-breaking technological developments. Example areas of application include aerospace engineering and robotics. However, biom* is not always ...

  • Computer-Aided Biomimetics : Semi-Open Relation Extraction from scientific biological texts 

    Kruiper, Ruben (Heriot-Watt University Mathematical and Computer Sciences, 2020-12)
    Engineering inspired by biology – recently termed biom* – has led to various groundbreaking technological developments. Example areas of application include aerospace engineering and robotics. However, biom* is not always ...

  • Bayesian computation in imaging inverse problems with partially unknown models 

    Fernandez Vidal, Ana (Heriot-Watt University Mathematical and Computer Sciences, 2021-01)
    Many imaging problems require solving a high-dimensional inverse problem that is ill-conditioned or ill-posed. Imaging methods typically address this difficulty by regularising the estimation problem to make it well-posed. ...

  • Data-efficient methods for dialogue systems 

    Shalyminov, Igor (Heriot-Watt University Mathematical and Computer Sciences, 2020-10)
    Conversational User Interface (CUI) has become ubiquitous in everyday life, in consumer-focused products like Siri and Alexa or more business-oriented customer support automation solutions. Deep learning underlies many ...

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