Data Science

Data Science group was formed in 2014 on the basis of Intelligent Systems Research area including also activities on Cyber Security, NLP and some new members.

We focus on new methods, algorithms and applications of transforming data in real-time and autonomously to meet real-world needs. We often work with large scale, non-stationary, streaming, heterogeneous and unstructured blocks of data. The areas of our expertise include machine learning and data mining, intelligent video analytics, natural language processing, autonomous learning and dynamically evolving self-learning systems.

We currently have around 20 members including five academics; research associates (RAs), PhD students, etc. Few new lecturer positions were approved and will be advertised soon. The group members are international leaders in research of Autonomous Machine Learning, Dynamically Self-evolving neural networks and fuzzy rule-based models for data streams, Autonomous Clustering, Autonomous Fault Detection and Identification, Autonomous Classifiers, Autonomous Controllers, Corpus Linguistics and semantic-based Natural Language Processing (NLP).

A member of the group (Dr Paul Rayson) is the current Director of UCREL and co-recipient of the Queens Anniversary Prize 2015. The group Leader is the only IEEE Fellow at Lancaster University and holds a number of awards and international honorary degrees. The group members are also internationally recognised and active in the areas of multi-agent systems and mining geo- and social- data.

The applications of the research of the group members range from online child protection, cybersecurity, learner dictionaries, and text mining of historical corpora and annual financial reports to intelligent video analytics, unmanned (aerial and ground-based) systems, defence, security, intelligent transport, biomarker identification, self-calibrating sensors for oil refineries, chemical industry (polymerisation processes) to name a few.

Group members are strongly involved in delivering up to date teaching on Data Mining, AI and other Data Science related courses including our flagship MSc in Data Science programme and closely collaborate (were founding members of) the Data Science Institute at Lancaster University, but also of other related Centres such as the EPSRC-GCHQ Academic Centre of Excellence, Lancaster Digital Health Forum, Lancaster Digital Humanities and more.

The group has a wide and strong portfolio of research projects funded by various UKRC, The Royal Society, EC, industry, government. It has an ethos that supports and encourages creativity and holds regular group seminar series with a range of high profile speakers.

Research Areas

  • Autonomous Learning
  • Making Sense from Data / Deep Learning
  • Intelligent Video Analytics
  • Autonomous Systems
  • Multi-agent Systems
  • Corpus Linguistics
  • Data Mining in Mobile Computing


Group Leader

Dr Paul Rayson

Reader in Natural Language Processing

SCC Data Science Group, Security Lancaster, UCREL - University Centre for Computer Corpus Research on Language

+44 (0)1524 510357 B50, B - Floor, Infolab

Group Members

Centre for Biophotonics, SCC Data Science Group, Security Lancaster, Security Lancaster (Cyber Security)

+44 (0)1524 510391

Dr Jungong Han

Senior International Lecturer

SCC Data Science Group

+44 (0)1524 593312 B61, B - Floor, InfoLab21

Dr Leandro Soriano Marcolino

Lecturer in Data Engineering

SCC Data Science Group

+44 (0)1524 510369 B21, B - Floor, InfoLab21

Dr John Mariani

Senior Lecturer

SCC Data Science Group

+44 (0)1524 510309 C34, C - Floor, Infolab

SCC Data Science Group, Security Lancaster, Security Lancaster (Cyber Security), UCREL - University Centre for Computer Corpus Research on Language

+44 (0)1524 510037 B53, B - Floor, InfoLab21




S800 hexacopter, AR Drone, five Pioneer 3DX ground-based mobile robots in its Intelligent Systems Lab.

Development Tools

Development Tools

Xilinx, Beagle, Raspberry PI and other development boards, Google Glass and smartphones



2 HPC blade servers with 8 nodes for Big Data research (operated by ISS and DSI)



Encyclopaedia of Shakespeare's Language
01/05/2016 → 31/08/2019

Geospatial Innovations in the Digital Humanities: A Deep Map of the English Lake District
19/10/2015 → 19/10/2018

New Machine Learning Methods Paradigms to Address Big Data Streams
17/03/2015 → 16/03/2017

01/12/2014 → 01/07/2015

Understanding Corporate Communications
01/12/2014 → 01/10/2016

01/12/2014 → 01/07/2015

Early Detection of Insider Threats by Autonomous Analysis of User Behaviour Evolution
01/10/2014 → 31/03/2018

Semantic Annotation and Mark Up for Enhancing Lexical Searches (SAMUELS)
01/01/2014 → 31/03/2015

ESRC centre for Corpus Approaches to Social Science - CASS
31/03/2013 → 30/03/2018

Cordinated Airborne Studies in the Tropics (CAST)
01/02/2013 → 31/07/2016

Autonomous Object Detection and Tracking
01/01/2013 → 30/06/2016

Understanding the Influences of Financial Reporting, Corporate Disclosure and financial media on the Corporate Financial Information Environment
01/12/2012 → 30/11/2014

Growing Autonomous Mission Management Systems
01/10/2012 → 30/09/2014

Metaphor in End of Life Care
01/09/2012 → 28/06/2014

FP7: Spatial Humanities
01/01/2012 → 31/12/2016

Corpus Research in Early Modern English
01/10/2011 → …

Assisted carriage proposal: Intelligent leader follower algorithms for ground platforms
01/09/2009 → 30/11/2009

Variability in child language
01/04/2007 → …

Using a semantic annotation tool for research on metaphor in discourse
01/12/2005 → …


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