Below is a list of research expertise within the School of Computing Sciences. Click on the expert's name for more information.

Cyber Security, Behavioural Biometrics, Digital Identity Cyber Security, Behavioural Biometrics, Digital Identity

Dr. Oliver Buckley

Dr. Oliver Buckley

Oli Buckley is a member of the Smart Emerging Technologies Laboratory. His research interests include cyber security, behavioural biometrics, digital identity, privacy, trust, data leakage, insider threat detection, and the application of machine learning and visualisation within cyber security.

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Computer Graphics Computer Graphics

Prof. Andy Day

Prof. Andy Day

Computer Graphics

Andy Day is leader of the computer graphics research group. He established the Urban Modelling Group (UMG - www.urbanmodellinggroup.co.uk) and Virtual Past (a collaboration with Historians). His research interests are in applied computational geometry, real time rendering of crowds, UAVs and virtual historic reconstruction. 

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Computational Biology, Machine Learning, Gaussian processes Computational Biology, Machine Learning, Gaussian processes

Dr. Gavin Cawley

Dr. Gavin Cawley

Gavin Cawley is a member of the Data Science and Statistics Laboratory and of the Computational Biology Laboratory.  His research interests lie in the field of machine learning, with applications in environmental science and computational biology, particularly focusing on model selection, kernel machines, Gaussian processes and active and semi-supervised learning.

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Colour, Computer Vision, Image Processing, Perception Colour, Computer Vision, Image Processing, Perception

Prof. Graham D. Finlayson

Prof. Graham D. Finlayson

Graham Finlayson is the Director of the Colour & Imaging Laboratory. His research spans colour, image processing, computer vision (incl. machine learning) and visual perception. He is interested in taking the creative spark of an idea, developing the underlying theory and algorithms and then engineering an efficient implementation. He also has deep expertise in the protection of Intellectual Property and its commercialisation.

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Data mining, Text Mining, Health Informatics, Optimisation Data mining, Text Mining, Health Informatics, Optimisation

Dr. Beatriz de la Iglesia

Dr. Beatriz de la Iglesia

Beatriz de la Iglesia is a member of the Data Science and Statistics Laboratory.  She has worked on data mining research with experience of data mining algorithm development and application to health care, financial biological and other types of data.

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Computer Vision, Lip Reading Computer Vision, Lip Reading

Prof. Richard Harvey

Prof. Richard Harvey

Richard Harvey started his career in underwater acoustics but moved to UEA to study problems in computer vision in the 1990s where he has been ever since.  His interests have varied from fundamental problems in scale-space vision to applied problems such as the ease or difficulty of automatically identifying images as containing pornography. A continuing theme in his work has been the application of computers to problems in security. His recent work has considered the challenge of automatically transcription lip-motions to text (lip-reading) and his group has been responsible for many of the top-performing systems in this field.  

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Statistics Statistics

Prof. Elena Kulinskaya

Prof. Elena Kulinskaya

Elena Kulinskaya holds Aviva Chair in Statistics and is a member of Data Science and Statistics laboratory.  Her research interests include statistical evidence and meta-analysis, Big Data analysis, and their applications in insurance, health and environmental sciences. She also has a vast experience of statistical consulting.

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Computational Biology Computational Biology

Dr. Steven Hayward

Dr. Steven Hayward

Steven Hayward's research focusses on the structure and function of biomolecules, particularly proteins, employing simulation and bioinformatics methods. Research topics include domain motions in proteins and the structure of the disease causing agent in Alzheimer’s. He collaborates with Stephen Laycock to develop tools for drug discovery using haptics and with Gavin Cawley applying machine learning techniques to biomolecular problems.

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Simulation and Visualisation of Medical Applications Simulation and Visualisation of Medical Applications

Dr. Rudy Lapeer

Dr. Rudy Lapeer

Rudy Lapeer’s main research area is in simulation and visualisation of medical applications. Underpinning subjects include soft tissue modelling, biomechanics and imaging. Recently, his team developed a Virtual Reality (VR) childbirth simulator to predict problematic deliveries on a per patient basis and to practise instrumental interventions such as forceps and vacuum extraction.

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Computer Graphics, Haptic Feedback, GPU Programming Computer Graphics, Haptic Feedback, GPU Programming

Dr. Stephen Laycock

Dr. Stephen Laycock

Stephen Laycock is a member of the Graphics group and specialises in real-time graphics, haptic feedback applications and gpu programming. He is particularly interested in the application of graphics techniques in Scientific Visualisation and Cultural Heritage. With Steve Hayward he works on software for interacting with proteins via a haptic feedback device. Software based on their algorithms can be viewed on http://www.haptimol.co.uk

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Machine Learning, Artificial Intelligence, Data Mining Machine Learning, Artificial Intelligence, Data Mining

Dr. Jason Lines

Dr. Jason Lines

Jason Lines’ main research interests are machine learning, artificial intelligence, and data mining. He is primarily interested in classification and ensemble learning, with specific focus in the field of time series classification for developing real-time and on-chip algorithms for application to real-world use cases. Further, Jason is also a certified UAV pilot, qualified for commercial and research operations on behalf of the university with systems up to 7kg. 

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Speech Enhancement, Audio-visual Processing, Machine Learning Speech Enhancement, Audio-visual Processing, Machine Learning

Dr. Ben Milner

Dr. Ben Milner

Ben Milner is a member of the Graphics, Vision and Speech Lab. His research interests are in speech enhancement, audio-visual processing and machine learning.

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Computational Biology Computational Biology

Prof. Vincent Moulton

Prof. Vincent Moulton

Vincent Moulton is a member of the Computational Biology Laboratory. His research interests include phylogenetics, computational biology of RNA, short RNAs, metatranscriptomics, high-throughput sequencing, algorithms in bioinformatics, and discrete structures such as graphs and finite metric spaces.

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Statistics, Copulas, Dependence Modelling, Quantitative Risk Management Statistics, Copulas, Dependence Modelling, Quantitative Risk Management

Dr. Aristidis K. Nikoloulopoulos

Dr. Aristidis K. Nikoloulopoulos

Aristidis K. Nikoloulopoulos's main theme of research is copula modelling. Specific situations where he has made use of copulas include: (i) models and inference procedures for repeated measures or multivariate discrete (binary, ordinal, count) response in biostatistical, environmental and econometrical applications; (ii) psychometrics models for item response data; (iii) copula-GARCH models for financial returns; (iv) copula-mixed models for meta-analysis of diagnostic test accuracy studies.

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IoT and Telecommunication IoT and Telecommunication

Dr. Edwin Ren

Dr. Edwin Ren

Edwin Ren is a member of the Smart Emerging Technologies Laboratory. His research interests include IoT, 4G/5G Mobile Telecommunication Networks, Cloud Computing, and Network Security.

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Computer Graphics, Computer Vision, Machine Learning Computer Graphics, Computer Vision, Machine Learning

Dr. Sarah Taylor

Dr. Sarah Taylor

Sarah Taylor is a member of the Graphics, Vision and Speech and Smart Emerging Technologies laboratories. Her research is focused on modelling human behaviour during speech and she has previously developed algorithms for automatic facial animation and lip syncing of computer generated characters.

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Artifical Neural Networks, Decision Tree Induction, Machine Learning Ensemble Artifical Neural Networks, Decision Tree Induction, Machine Learning Ensemble

Dr. Wenjia Wang

Dr. Wenjia Wang

Wenjia Wang is a member of the Data Science and Statistics Laboratory. His main research interests are Artificial neural networks, Decision tree induction, Bayesian theory, Evolutionary computing and Genetic algorithm and Machine learning ensemble methodology.

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Computational Biology, Data Science Computational Biology, Data Science

Dr. Taoyang Wu

Dr. Taoyang Wu

Taoyang Wu is a member of the Computational Biology Laboratory and the Data Science and Statistics Laboratory. His research interests include algorithms and complexity, computational biology, phylogenetics, and stochastic processes in biology.

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