The Institute for Analytics and Data Science at the University of Essex is globally renowned for its world-class interdisciplinary expertise in the analytics and data science to develop lasting solutions that transform the world for the benefit of individuals and communities.
Our experts include computer and electronic engineering scientists, statisticians and mathematicians, bioinformatics and biomedical scientists, social and political scientists, economists and finance experts, digital humanities experts, human rights experts, ethics and legal experts.
We are proud to have supported the generations of postgraduate researchers who go on to transcend disciplinary boundaries and create a real change in industries such as insurance, financial analysis and management, charities and NGOs, and the public sector, while also starting their own businesses and consultancy services.
IADS has a multidisciplinary and interdisciplinary research community of over 200 experts from three faculties and 13 disciplines. More information about our academics and researchers is available on the ‘Our people’ page.
Professor and Director of IADSSchool of Computer Science and Electronic Engineering (CSEE)
Supervision areas: Security and Privacy Requirements Engineering.
Senior Lecturer and Deputy Director of IADSSchool of Computer Science and Electronic Engineering (CSEE)
Supervision areas: Reinforcement Learning, Machine Learning, Neural Networks, Role Playing Games.
LecturerDepartment of Language and Linguistics
Supervision areas: Language Attitudes, Sociolinguistics, Language Variation and Change, Sociophonetics.
LecturerSchool of Life Sciences
Supervision areas: Biological Machine Learning, Computational Palaeobiology, Quantifying Evolutionary Convergence, Ediacaran Palaeobiology and Palaeoecology
Executive Dean (Science and Health) and Founding Director of IADSSchool of Computer Science and Electronic Engineering (CSEE)
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.
Reader and Chief Scientific AdvisorDepartment of Government
Supervision areas: Political Economy, Politics and Economics of Natural Disasters, Leader Survival, Econometrics.
LecturerSchool of Computer Science and Electronic Engineering (CSEE)
Supervision areas: Brain-Computer Interfaces, Machine Learning Applied to Biomedical Signals, Event-Related Potentials (ERPs), Memory, Neural Engineering.
Research FellowSchool of Computer Science and Electronic Engineering (CSEE)
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 LecturerSchool of Computer Science and Electronic Engineering (CSEE)
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.
Our expertise attracts major funding from UK research councils to deliver ground-breaking doctoral training programmes in a range of areas including:
The Institute is superbly place to support doctoral research in any area of interest that engages with its remit. This includes students wishing to research the area of data science and analytics and study for a postgraduate research degree in other departments. Including: