School of Computing

Computational Intelligence Group

Membership and Interests

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Head of Group Alex Freitas   Seminar Organiser Marek Grzes
Academic Staff Primary Research Interests
David Barnes I am interested in computational modelling of biological systems and developing software for visualising NMR data.  
Howard Bowman Computational Modelling of Cognition, Connectionism, Human Attention, Emotions and Reasoning.  
Dominique Chu Computational systems biology and simulation of biological systems.  
Alex Freitas Data mining, machine learning, evolutionary algorithms (mainly genetic programming), ant colony optimization, bioinformatics and the biology of ageing.  
Marek Grzes Artificial intelligence, decision-theoretic planning, probabilistic reasoning, and their applications to intelligent systems for people with cognitive disabilities, natural language processing and chatbots, tutoring systems, and games.  
Colin Johnson Bioinformatics, computational modelling of biological systems, scientific computing; computer systems inspired by nature, e.g. genetic algorithms, genetic programming (including connections with programming language theory) and neural networks; media technologies.  
Anna Jordanous Computational Creativity, Music Informatics, Information Retrieval, Knowledge Modelling, Natural Language Processing, Machine Learning, Data Mining, Semantic Web, Linked Data, Ontologies, Digital Humanities.  
Michael Kampouridis Computational finance, financial forecasting, algorithmic trading, weather derivatives, machine learning, genetic programming.  
Caroline Li My main area of research is in brain signal processing and its applications. I also work on signal processing methods.  
Fernando Otero Data mining, machine learning, ant colony optimization, genetic programming and bioinformatics.  
Peter Rodgers Visual aspects of diagrams including: graph drawing algorithms; schematic layout methods; Venn and Euler diagram generation techniques.  
   
Postgraduate Students Primary Research Interests
Adesola Adegboye Financial forecasting, directional changes, algorithmic trading, genetic programming.
Robin Ayling I am interested in Hand Tracking and Pose Estimation using various data such as Electromyography and Depth Imaging
Lisa Bonheme I am interested in disentangled representations learning and their application to natural language processing
Theophile Champion

Artificial Intelligence, Reinforcement Learning, Risk Sensitive Control, Active Inference, Free Energy Principle, Probabilistic Modeling, Deep Learning, Model Selection, Structrure Learning, Attention Mechanism and Affective Agents

Jakub Fil Multi-label classification and unsupervised learning in Spiking neural networks and Chemical reaction networks
Kathryn Harris EEG, deception detection, Fringe-P3 method.
Lee Harris Deep learning interpretations and explanations, and ways to measure and incorporate ethical fairness
Mahan Hosseini Understanding the neural mechanisms underlying illusory visual percepts using multivariate classification algorithms and computational modelling
Huy Le Hguyen Spiking neural networks, temporal signal processing, and statistical mechanics of learning
Peter Lloyd Information design, metro maps and diagrams, usability of maps and diagrams, geographic information systems.
Sergey Ovchinnik Machine learning, monotonicity constraints for learning classification models, longitudinal studies of ageing
Tossapol Pomsuwan Machine learning, survival analysis, longitudinal studies of ageing
Caio Ribeiro Machine learning, classification of longitudinal data, missing value replacement in longitudinal data, longitudinal studies of ageing.
Piotr Sawicki Natural Language Processing, Neural Dialogue Systems, Neural Text Generation, Lifelong Machine Learning - Cumulative Learning
Wenbo Zhang  

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

Enquiries: +44 (0)1227 824180 or contact us.

Last Updated: 28/02/2020