Completing your PhD with the Institute for Analytics and Data Science

Professor and Director of IADS

Supervision areas: Security and Privacy Requirements Engineering.

Senior Lecturer and Deputy Director of IADS

Supervision areas: Reinforcement Learning, Machine Learning, Neural Networks, Role Playing Games.

Lecturer

Supervision areas: Language Attitudes, Sociolinguistics, Language Variation and Change, Sociophonetics.

Lecturer

Supervision areas: Biological Machine Learning, Computational Palaeobiology, Quantifying Evolutionary Convergence, Ediacaran Palaeobiology and Palaeoecology

Executive Dean (Science and Health) and Founding Director of IADS

Supervision areas: Multi-Agent Systems and Autonomous Adaptive Systems, Data Exploration Analysing and Modelling Complex Data Big Data Analysis and Modelling of Structured and Unstructured Data, Machine Learning Modelling Opponents Learning Behaviours from Data, Reasoning and Analytics over Multiple Streams of Data Internet of Things (Iot) Reasoning and Analytics, Individual and Collective User Profiles Profile Adaptation Contextualised Profiles, Recommender Systems Collaborative Filtering Reputation Systems, Complex Systems Modelling Dynamics of Financial Systems and Markets, Market Mechanisms Negotiation Protocols Strategic Interaction Supply Chain Management, Semantic Matching Resource Search Cloud Computing Resource Allocation, Trust in Agent Societies Trust Mechanisms Trust in Decision Making, Formal Theories of Agents and Multi-Agent Systems BDI Agents, Cognitive Agents Knowledge and Belief Self-Reference, Software Engineering Methodologies for Agents and Multi-Agent Systems, Social Dynamics Regulation of Agent Societies Roles and Power Institutions, Self-Organisation Team Formation, Serious Games for Education and Learning Collaborative Learning.

Lecturer

Supervision areas: Brain-Computer Interfaces, Machine Learning Applied to Biomedical Signals, Event-Related Potentials (ERPs), Memory, Neural Engineering.

Research Fellow

Supervision areas: Energy-Efficient AI, Trustworthy AI, Machine Learning, Tinyml, Federated Learning, Kernel Methods, Signal Processing, Fpgas, Numerical Linear Algebra, Resource-Efficient Convolutional Networks, Real-Time Object Detection.

Senior Lecturer

Supervision areas: Big Data and Analytics, Brain-Computer Interface, Deep Learning, Transfer Learning, Non-Stationary Learning and Domain Adaptation, Artificial Intelligence (AI) and eXplainable AI (XAI), EEG and MEG Signal Processing, EEG and MEG Signal Processing.

Postgraduate Research Student

Artificial Intelligence for causality with applications in the social and economic sciences.

Postgraduate Research Student