Postgraduate Research at the Institute for Analytics and Data Science

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.

Our research supervisors

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.

Core institute members and alumni include:

Professor Haris Mouratidis

Professor and Director of IADS

School of Computer Science and Electronic Engineering (CSEE)

Supervision areas: Security and Privacy Requirements Engineering.

Dr Spyros Samothrakis

Senior Lecturer and Deputy Director of IADS

School of Computer Science and Electronic Engineering (CSEE)

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

Dr Marta Fernandez De Arroyabe Arranz

Deputy Director IADS and Reader

EBS - Strategy, Operations and Entrepreneurship (SOE)

Supervision areas: Entrepreneurship, Business Administration, Business Analytics.

Dr Amanda Cole

Lecturer

Department of Language and Linguistics

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

Dr Jennifer Hoyal Cuthill

Lecturer

School of Life Sciences

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

Dr Ana Matran-Fernandez

Lecturer

School 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.

Dr JunKyu Lee

Research Fellow

School 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.

Dr Nina Markl

Research Fellow (IADS)

Department of Language and Linguistics

Supervision areas: Forensic Linguistics, Sociolinguistics, Language Technology, Natural Language Processing.

Dr Haider Raza

Senior Lecturer

School 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.

Past postgraduate research projects

Over the years students have researched many different themes and topics alongside the Institute:

Analysis of Some Domain Adaptation Methods in Causality
An Extended Ant Colony Optimisation Approach for the Mass Customisation Paradigm
Developing Event Identification Methods for Structured and Unstructured Data Streams
Developing Learning Methods for Non-Stationary and Imbalanced Data Streams
Did 9/11 Change Everything? Security and Human Rights Tradeoffs in International Cooperation
Enhancing Recommendations in Specialist Search Through Semantic Based Techniques and Multiple Resources
Exploring Embedding Vectors for Emotion Detection
Food Security and Preferential Trade Agreements
Improving Classification Through Co-Training Approaches
Minimalistic Adaptive Dynamic-Programming Agents for Memory-Driven Exploration
Modelling the High-Frequency Fx Market: An Agent-Based Approach
Natural Language Processing Methods for Short Informal Text
Resource Discovery in Self-Organising Distributed Systems
Social Media for Social Good: Understanding, Creating and Harnessing the Strength of Parasocial Relationships
Task Recovery in Self-Organised Multi-Agent Systems for Distributed Domains
Text Generation for Small Data Regimes
Understanding Hyperparameters in Machine Learning for Causal Estimation From Observational Data

Current PGR students working with the institute

David Barragan Alcantar

Postgraduate Research Student

School of Computer Science and Electronic Engineering (CSEE)

Fatemeh Faraji

Postgraduate Research Student

School of Computer Science and Electronic Engineering (CSEE)

Laila Alqahtani

Postgraduate Research Student

School of Computer Science and Electronic Engineering (CSEE)

Samuel Daniels

Postgraduate Research Student

School of Computer Science and Electronic Engineering (CSEE)

Study with us

Our expertise attracts major funding from UK research councils to deliver ground-breaking doctoral training programmes in a range of areas including:

exploring the most challenging social science issues of the 21st century
investigating the interplay between a person's biology, experiences and behaviour
artificial intelligence, machine learning, bioinformatics and genomic analysis of big data

Find out more about Postgraduate Research Study at Essex, including funding and how to apply

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:

Completing your PhD with the Institute for Analytics and Data Science

Our research supervisors

Core institute members and alumni include:

Past postgraduate research projects

Current PGR students working with the institute

Study with us