All of our academic staff are research active, working with a team of post-graduate and post-doctoral researchers and a lively population of research students. Our research focuses on core themes of theoretical and practical computer science: artificial intelligence and symbolic computation, networked and distributed systems, systems engineering, and human computer interaction.

For more information please visit the School of Computer science home page.

Sub-communities within this community

Recent Submissions

  • Mobility multihoming duality for the Internet Protocol 

    Yanagida, Ryo (2022-06-21) - Thesis
    In the current Internet, mobile devices with multiple connectivity are becoming increasingly common; however, the Internet protocol itself has not evolved accordingly. Instead, add-on mechanisms have emerged, but they do ...
  • Visual analysis of arguments in video-based debates 

    Soares Mota Carneiro, Guilherme (2022-06-15) - Thesis
    The ability to understand, process and evaluate arguments made by others and ourselves is important in many personal and professional spheres, such as political debates. However, developing an understanding and communicating ...
  • Single-handed interaction techniques for mobile and wearable computing 

    Yeo, Hui Shyong (University of St Andrews, 2021-06-30) - Thesis
    The past decade has seen the proliferation of mobile and wearable computing devices into our everyday life. Such devices are now used throughout the day for both productivity and entertainment purposes. As a result, it ...
  • Computing normalisers of highly intransitive groups 

    Chang, Mun See (University of St Andrews, 2021-06-30) - Thesis
    We investigate the normaliser problem, that is, given 𝐺, 𝐻 ≤ 𝑆ₙ, compute 𝑁[sub]𝐺(𝐻). The fastest known theoretical algorithm for this problem is simply exponential, but more efficient algorithms are known for some ...
  • Hidden Markov models with variational inference in marketing science 

    Danielson, Matthew (University of St Andrews, 2021-06-30) - Thesis
    Hidden Markov Models (HMMs) are a well known type of model for many varieties of sequen- tial data. There exist several algorithms for learning HMMs: a variant of an expectation- maximization (EM) algorithm known as the ...

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