Computer Science @ University of St Andrews

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Research

  • Academics in robes with Vint Cerf
  • The Jack Cole building
  • First year lecture
  • MSc students in the lab
  • MSc students in the lab
  • Undergraduate tutorial
  • Blue sky thinking
  • MSc students enjoying a sunny day
  • MSc students at the summer BBQ
  • First year students in a lab-based exercise class
  • MSc students in the snow after November graduation
  • MSc students after graduation
  • Undergraduate students after summer graduation

We are a top-class group of researchers with interests in a wide range of areas of theoretical and practical computer science. All our academic staff are research active, working with a team of post-graduate and post-doctoral researchers and a lively population of research students. See our directory of staff and research students.

Our research focuses on core themes of theoretical and practical computer science:

  • Artificial intelligence and symbolic computation including constraint programming, computational algebra and computational logic and natural language processing, image processing and robotics.
  • Computer systems engineering including software architecture cloud computing and next-generation internet, programming models for distributed systems, pervasive systems and data linkage analysis.
  • Human Computer Interaction including pervasive and ubiquitous computing, input and output technologies, intelligent interactive systems and visualisation.
  • Programming languages with an emphasis on type systems and parallelism in functional programming languages.

The School is a member of SICSA - The Scottish Informatics and Computer Science Alliance.

We have research support from a range of funding bodies including the Engineering and Physical Sciences Research Council (EPSRC), the European Commission and Industry.

All School publications are published via the University of St Andrews Research Portal.

Search Publications from the School of Computer Science


See also: completed Computer Science PhD theses.

Recent Publications

Reading small scalar data fields: color scales vs. Detail on Demand vs. FatFonts

Manteau, C, Nacenta, M & Mauderer, M 2017, Reading small scalar data fields: color scales vs. Detail on Demand vs. FatFonts. in Proceedings of the 2017 Graphics Interface conference. Canadian Human-Computer Communications Society, Graphics Interface 2017, Edmonton, Alberta, Canada, 16-19 May.

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Glycaemic index prediction: a pilot study of data linkage challenges and the application of machine learning

Li, J & Arandelovic, O 2017, Glycaemic index prediction: a pilot study of data linkage challenges and the application of machine learning. in 2017 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, pp. 357-360, BHI-2017 International Conference on Biomedical and Health Informatics, Orlando, United States, 16-19 February.

Information and knowing when to forget it

Sharma, R & Arandelovic, O 2017, Information and knowing when to forget it. in 2017 IEEE International Joint Conference on Neural Networks (IJCNN). IEEE, 2017 International Joint Conference on Neural Networks, Anchorage, United States, 14-19 May.

Out of sight: a toolkit for tracking occluded human joint positions

Contextual consent: ethical mining of social media for health research

Norval, C & Henderson, T 2017, Contextual consent: ethical mining of social media for health research. in Proceedings of the WSDM 2017 Workshop on Mining Online Health Reports. WSDM Workshop on Mining Online Health Reports, Cambridge, United Kingdom, 10-10 February.

Investigating tilt-based gesture keyboard entry for single-handed text entry on large devices

Yeo, HS, Phang, X-S, Castellucci, SJ, Kristensson, PO & Quigley, AJ 2017, Investigating tilt-based gesture keyboard entry for single-handed text entry on large devices. in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems . ACM, ACM CHI 2017 Conference on Human Factors in Computing Systems, Denver, United States, 6-11 May.

The Missing Link! A new Skeleton for Evolutionary Multi-Agent Systems in Erlang

Bottom-up vs. top-down: trade-offs in efficiency, understanding, freedom and creativity with InfoVis tools

Mendez, GG, Hinrichs, U & Nacenta, M 2017, Bottom-up vs. top-down: trade-offs in efficiency, understanding, freedom and creativity with InfoVis tools. in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, ACM CHI 2017 Conference on Human Factors in Computing Systems, Denver, United States, 6-11 May. DOI: 10.1145/3025453.3025942

Type-based cost analysis for lazy functional languages