Dr Darryl N. Davis

Senior Lecturer and REF lead for Computer Science (UoA 11)

Faculty of Science and Engineering


+44 (0) 1482 466469

Dr Darryl N. Davis is a senior lecturer in computer science and a member of the Robotics and Autonomous Systems Research Group.

He is also a member of the Medical Engineering Research Group and the point of contact for Robotics and Artificial Intelligence in the School of Engineering and Computer Science.


Research Interests

  • Cognitive systems (robotics, cognitive architectures, reasoning, motivation and affect, connectionism)
  • Computational creativity, e.g. artificial music and art
  • Data mining and decision support (environmental and medical domains e.g. cardiovascular medicine, cancer diagnostics
  • Telehealth (decision support, data mining, mobile networks)

Research groups

  • Robotics and Autonomous Systems
  • Artificial Intelligence and Robotics


Davis D N and Ramulu S K, 'Reasoning with BDI Robots: From Simulation to Physical Environment - Implementations and Limitations', Paladyn, Journal of Behavioral Robotics (2017)

Arshi S and Davis D N, 'Generating Synthetic Persian Music', 3rd International Conference on New Music Concepts, Ventura M D (ed), ABEditore Srl (2016)

Rahman M M. and Davis D N, 'Semi Supervised Under-Sampling: A Solution to the Class Imbalance Problem for Classification and Feature Selection', Transactions on Engineering Technologies, special volume of the World Congress on Engineering 2013, Yang G C, Ao S I, Gelman L (eds), Springer (2014)

Davis D N, 'Cognitive Architectures for Affect and Motivation', Cognitive Computation, 2(3), (2010)

Davis D N, 'Linking Perception and Action through Motivation and Affect', Journal of Experimental and Theoretical Artificial Intelligence, vol 20, 1, pp 37-60 (2008)

Full list


Programmes taught on (2019)

Modules list

  • Data Mining and Decision Systems
  • Robotics and Artificial Intelligence

Research PhDs

Dr Davis welcomes applications in artificial intelligence, robotics and computational creativity.

Completed PhDs

  • Lisa Moore, Data Mining for Heart Failure: An Investigation into the Challenges in Real Life Clinical Datasets (2015)
  • M Mostafizur Rahman, Machine Learning Based Data Pre-processing for the Purpose of Medical Data Mining and Decision Support (2014)
  • Nongnuch Poolsawad, Practical Approaches to Mining of Clinical Dataset: from Frameworks to Novel Feature Selection (2014)
  • Hossein Miri, Probabilistic BDI in a Cognitive Robot Architecture (2012)
  • Mayur Sarangdhar, A Computational Framework for Similarity Estimation and Stimulus Reconstruction of Hodgkin-Huxley Neural Responses (2011)
  • Thuy Nguyen, Predicting Cardiovascular Risks Using Pattern Recognition and Data Mining (2009)

Current PhD Supervisions

  • Sahar Arshi, Creating Novel Persian Dastgah Musical Systems Using Artificial Intelligence Tools
  • Steven Balding, Robot Colonies with Distributed Reasoning and Ambient Mapping
  • Robert Munnoch, Personal Data Gathering and Management for a Patient Centred Health Care System     
  • Brian Peach, The Use of Dynamic Behaviour Networks in Robot Colonies
  • John Stamford, Predictive Algorithms for Telehealth Service Improvement and Evaluation


Professional highlights

Awards and accolades

  • PhD, Knowledge Based Systems for Medical Image Interpretation, University of Manchester (1991)
  • MSc Knowledge Based Systems, Heriot-Watt University, Edinburgh (1987)
  • BSc Biological Science, University of Sussex (1976)