- Academic Staff
- James Cussens
- [Webpage, Email]
- Machine learning, especially Statistical Relational Learning; Graphical Models, especially Bayesian Networks
- Alan Frisch (Head Of Group)
- [Webpage, Email]
- Constraint programming and its application to the solution of hard combinatorial problems; Tools for automating and assisting the process of generating constraint-based models of problems; Constraint modelling languages.
- Dimitar Kazakov
- [Webpage, Email]
- Machine learning; natural language processing; machine learning of language, including unsupervised learning; language evolution modelling in multi-agent environments
- Daniel Kudenko
- [Webpage, Email]
- Machine learning; knowledge representation; bioinformatics; information filtering; multi-agent systems; artificial intelligence for games
- Suresh Manandhar
- [Webpage, Email]
- Natural language processing (NLP): statistical and inductive machine learning for NLP; question answering systems; information extraction; dialogue systems; knowledge representation for NLP; constraint languages and constraint form
sms
- Postdoctoral Researchers
- Mark Bartlett
- [Webpage, Email]
- Constraint
Optimisation particularly Integer Linear Programming, Bayesian Networks,
Language Evolution, Worst-Case Execution Time Analysis, Environmental
Economics
- Ioannis Klapaftis
- [Webpage, Email]
- Term extraction, Word/Term Sense Disambiguation, Word Sense Induction, Learning of Semantic Relations, Ontology Learning
- Teaching Fellows
- Tommy Yuan
- [Webpage, Email]
- Argument, Dialogue, Persuasion, and Their Application in Human-Computer Dialogue, Agent Communication, Dependable Argument
- Visitors
- Timmy Zhong
- [Webpage, Email]
- Cloud Computing, Construction of Educational Resources Platform, Intelligent Learning Environments
- (Supervised by Tommy Yuan)
- Graduate Students
- Ali Abusnina
- [Webpage, Email]
- Adaptive Soft Sensors
- (Supervised by Daniel Kudenko)
- Eman Aljohani
- [Webpage, Email]
- Informative priors for learning graphical models
- (Supervised by James Cussens)
- Waleed Alsanie
- [Webpage, Email]
- Statistical Relational Learning
- (Supervised by James Cussens)
- Matthew Butler (Treasurer)
- [Webpage, Email]
- Machine Learning, Pattern Recognition and Financial Modelling
- (Supervised by Dimitar Kazakov)
- Sam Devlin (Seminar Organiser)
- [Webpage, Email]
- Reinforcement Learning especially Partial Observability and Multi-Agent Systems
- (Supervised by Daniel Kudenko)
- Kyriakos Efthymiadis (Webmaster)
- [Webpage, Email]
- Reinforcement Learning, Knowledge / Belief Revision, Planning
- (Supervised by Daniel Kudenko)
- Ali Karami
- [Webpage, Email]
- Natural Language Processing, Machine Learning
- (Supervised by Suresh Manandhar)
- Kleanthis Malialis
- [Webpage, Email]
- Reinforcement Learning, Multi-agent Systems, Network Intrusion Detection / Prevention
- (Supervised by Daniel Kudenko)
- Shailesh Pandey
- [Webpage, Email]
- Learning for Complex Question Answering
- (Supervised by Suresh Manandhar)
- Suraj Pandey
- [Webpage, Email]
- Natural Language Processing
- (Supervised by Suresh Manandhar)
- Garo Panikian
- [Webpage, Email]
- Probabilistic graph-based models, Biological systems
- (Supervised by James Cussens)
- Peter Scopes
- [Webpage, Email]
- Reinforcement Learning, Spatial Awareness, Group Co-ordination
- (Supervised by Daniel Kudenko)
- Dorothy Thato Kentse
- [Webpage, Email]
- Reinforcement Learning, Data Mining
- (Supervised by Daniel Kudenko)
- Baoguo Yang
- [Webpage, Email]
- Machine Learning, Natural Language Processing, Data Mining
- (Supervised by Suresh Manandhar)