Data Mining and Machine Learning Group

Academic Staff

Dr Danushka Bollegala
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Artificial Intelligence, Computational Linguistic and Web Mining
Prof. Frans Coenen
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Data Mining assisted argumentation
Dr. Yannis Goulermas
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Head of Group
Machine learning, pattern recognition, data analysis and visualisation, mathematical modelling and optimisation
Dr Vitaliy Kurlin
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Topological data analysis
Prof. Simon Maskell
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Dr. Frans Oliehoek
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Sequential decision making, Uncertainty, Decision theory, Multiagent systems, MDPs, POMDPs, Dec-POMDPs, Probabilistic robotics
Dr. Jeyan Thiyagalingam
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Parallel, distributed and high-performance computing, big data analytics, parallel algorithms, energy-aware and energy-efficient algorithms, multi-core computing and accelerators
Prof Karl Tuyls
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Adaptation in multi-agent and robot systems, Reinforcement learning, (Evolutionary) Game theory, Swarm intelligence and bio-inspired computing, Machine learning, and Datamining

Research Fellows and Assistants

Daniel Bloembergen
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Multi-Agent Systems; Reinforcement Learning; (Evolutionary) Game Theory; Robotics
Austin Brockmeier
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Optimization for statistical modeling, signal processing, machine learning
Angrosh Mandya
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Natural Language Processing, Computational Linguistics, Machine Learning

PhD Students

Said Al Riyami
Samir Al-Abied
Mohammed Ghazi Al-Zeyadi
Hajar Alhijailan
Nawal Almutairi
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Privacy Preserving Data Mining (PPDM) using Secure Computation and Homomorphic Encryption (HE), Multi-Parities Computation (MPC), Machine learning, Document Image Analysis and Artificial intelligence.
Abdullah Alshehri
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Software Engineering, Data Mining, Time Series Analysis and Pattern Recognition.
Mohammed Alsuhaibani
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Information Science, Data Mining, Artificial Intelligence
James Butterworth
Xia Cui Natural Language Processing, Big Data and Artificial Intelligence
Xenofon Evangelopoulos
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Information Retrieval, Web Data Mining, Machine Learning, String Indexing/Bioinformatics, Databases and Data Structures, Combinatorial Problems
Chun Guan
Huda Hakami
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Artificial Intelligence, Machine Learning and Natural Language Processing
Lykourgos Kekempanos
Gregory Palmer
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Deep Reinforcement Learning
Pavithra Rajendran
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argumentation mining, sentiment analysis, natural language processing and machine learning
Andrew Roxburgh
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Mobile and web technologies as digital interventions
Ahmed Shazad
Muhammed Tufail Mining Movement Patterns from Video data, Multi Agent Based Simulation (MABS), Machine Learning, Image Processing
Jinmeng Wu
Yu Wu
Yizhang Xia
Yifan Zhou
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Computer Vision, Image Processing and Big Data.