- Academic Staff
- Mark Bartlett
- [Webpage, Email]
- Constraint
Optimisation particularly Integer Linear Programming, Bayesian Networks,
Language Evolution, Worst-Case Execution Time Analysis, Environmental
Economics
- Peter Cowling
- [Webpage, Email]
- Models and heuristic search algorithms for decision making in games and scheduling/routing/planning/optimisation, Operational
Research/Management Science, Monte Carlo Tree Search, Hyperheuristics
- James Cussens
- [Webpage, Email]
- Machine learning, especially Statistical Relational Learning; Graphical Models, especially Bayesian Networks
- Sam Devlin
- [Webpage, Email]
- Game data mining and adaptive, learning agents
- 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 formalisms
- Tommy Yuan
- [Webpage, Email]
- Argument, Dialogue, Persuasion, and Their Application in Human-Computer Dialogue, Agent Communication, Dependable Argument
- Postdoctoral Researchers
- Edward Powley
- [Webpage, Email]
- Monte Carlo Tree Search for games with uncertainty and hidden information
- Stephen Remde
- [Webpage, Email]
- Modelling the deterioration of large scale infrastructure assets such as roads and footways, and optimisation of treatments of those assets to support better allocation of public spending and improve the service level of the assets.
- Research Co-investigators
- Peter Hines
- [Webpage, Email]
- Linguistics, Natural Language Processing, Logic, Category Theory, Theoretical Computer Science
- Visitors
- Agustin Delgado
- [Webpage, Email]
- Natural Language Processing, Information Retrieval, Named
Entity Disambiguation and Clustering Algorithms
- Graduate Students
- Sultan Alahmari
- Abdullah Algarni
- [Webpage, Email]
- Machine learning, Multiagent Systems, Distributed Systems (especially Cloud Computing)
- (Supervised by Daniel Kudenko)
- Mark Balmer
- Matthew Bedder
- [Webpage, Email]
- Artificial Intelligence; Games; Computer Vision
- (Supervised by Daniel Kudenko)
- Yujie Chen
- [Webpage, Email]
- Decision making and optimization
- (Supervised by Peter Cowling)
- Hani Elgabou
- [Webpage, Email]
- Constraint programming and Solvers. Currently started working on SMT solvers.
- (Supervised by Alan Frisch)
- David Gundry
- [Webpage, Email]
- Games for gathering linguistic data
- (Supervised by Dimitar Kazakov)
- Ali Karami
- [Webpage, Email]
- Natural Language Processing, Machine Learning
- (Supervised by Suresh Manandhar)
- Durdane Kocacoban
- Gabor Makrai
- [Webpage, Email]
- Effective use of monitoring data and ICT to support strategic and operational city planning decisions.
- (Supervised by Peter Cowling)
- Li Mao
- George Mason
- [Webpage, Email]
- Assured reinforcement learning for safety critical autonomous software agents
- (Supervised by Radu Calinescu, Daniel Kudenko)
- Nils Monning
- [Webpage, Email]
- Natural Language Processing, Compositional Distributional Semantics inspired by Quantum Theory
- (Supervised by Suresh Manandhar)
- Philip Mourdjis
- [Webpage, Email]
- Machine Learning for Logistics
- (Supervised by Peter Cowling)
- Garo Panikian
- [Webpage, Email]
- Probabilistic graph-based models, Biological systems
- (Supervised by James Cussens)
- Nunung Nurul Qomariyah
- [Webpage, Email]
- Eliciting user's preferences in recommender system by using pairwise comparisons and active learning
- (Supervised by Dimitar Kazakov)
- Haizhou Qu
- [Webpage, Email]
- Text Mining and Machine Learning
- (Supervised by Dimitar Kazakov)
- Marcelo Sardelich (Responsible for website)
- [Webpage, Email]
- Large-scale Machine Learning, Parallel computing, NLP and Online Social Media predictive power
- (Supervised by Dimitar Kazakov)
- Peter Scopes
- [Webpage, Email]
- Reinforcement Learning, Spatial Awareness, Group Co-ordination
- (Supervised by Daniel Kudenko)
- Nick Sephton
- [Webpage, Email]
- Monte Carlo Tree Search
- (Supervised by Peter Cowling)
- Hanting Xie (Seminar Organiser)
- [Webpage, Email]
- Applications of data mining algorithms, currently working in the project "Game Feature Design by Data Mining"
- (Supervised by Daniel Kudenko)
- Baoguo Yang
- [Webpage, Email]
- Machine Learning, Natural Language Processing, Data Mining
- (Supervised by Suresh Manandhar)
- David Zendle
- [Webpage, Email]
- Interactive Narrative
- (Supervised by Daniel Kudenko)