Frans Coenen

Professor of Computer Science

Department of Computer Science, University of Liverpool

School of Electrical Engineering, Electronics and Computer Science.


Following a Grade 5 RAE rating in 2001, 75% of the Department's research activity was judged as 3* or 4* in the 2008 REF, rising to 97% in 2014 and 100% in 2021. This had consistently been among the highest proportion of world-leading or internationally excellent output of any CS department in the UK.

Why Electrical Engineering, Electronics and Computer Science?"

Study Online: Online Programmes

Dr Frans Coenen
Data Mining, Big Data Analytics and KDD
Current Research Funding
PhDs and RAs
Editorial Boards (KER, KAIS)
Previous Research
Admin. Links (Tulip, Calendar, Etc.)


My research interests are focussed on AI in its many forms. My PhD (1986-1989) was on driverless ships which still seems relevant given the cirent interest in driverless cars. My current work is focussed on Machine and Deep Learning in all of its many forms. Current work is directed at: (i) medical machine leraning, (ii) the application of data mining in the context of unusual data sets, (iii) graph and network data sets, (iv) ontology learning and (v) data analytics over encrypted data. More specifically:

  1. Retina Image Mining: Classification of 2D and 3D retina image sets to support screening programmes for conditions such as Age-related Macular Degeneration (AMD) and Diabetic Retinopathy (DR).
  2. MRI Scan Mining: Classification of 2D and 3D MRI brain scan data according to particular objects that appear within such data (corpus callosum, ventricles, etc.) so as to identify conditions such as epilepsy and handedness.
  3. Satellite Image Mining: Objective is to use image minimg techniques to automatically collect sensus data from satellite imagery.
  4. Trend Mining and Temporal data mining: Two Applications: (i) trend analysis within patient medical records and (ii) change point detection in animal movement databases (such as DEFRA's cattle movement database).
  5. Data mining supported argumentation: Instead of using a knowledge base to support argumentation work is directed at using classification techniques to support the argumentation process.
  6. Graph Mining: All types of graph mining including: (i) weighted graph mining, (ii) distributed graph mining, (iii) large scale graph mining and (iv) applied graph mining.
  7. Secure Data Analytics: The usage homomorphic and order preserving encrypted schemes for data analytics purposes.
  8. Ontology Learning: The proposes of learning ontologies from encrypted data.
  9. Time series Analys: Especially the analysis of PCG sound waves.
  10. Applied Data Mining: The broad application of data mining techniques in the context of large, challenging and unusual datasets.
I am very pleased to have originated the UK KDD (Knowledge Discovery in Data) symposium series. The first of these meeting happened in April 20025, and are currently run by the British Computer Society's Specialist Groupin AI.
I am also very pleased to have presented the Cuba-UK (Liverpool) School of data Mining, a two week seminar series held in Havana, Cuba, in January 2007.
I am (or have been) a member of a great many Machine Leraning Conference (workshops and symposia) programme committees. I have been area chair for IEEE ICDM (one of the top, if not the top, conference in my field) from 2014 to 2017, and a Senor Programme Committee member for IEEE Big Data 2017. Currently I am the programme chair for the Knowledge and Data Information Retrieval (KDIR) series of conconference. More specifically: AI'24, KDIR 2023 (Programme Chair), AI'23, KDIR 2022 (Programme Chair) DaWaK 2022, AI'22, DaWaK 2021, AI'21, IJCAI 20, AI'20, ECML PKDD 19, DEXA 2019, KDH-2019: The 4th International Workshop on Knowledge Discovery in Healthcare Data, AI'19, IEEE ICDM'18, IICAIET 2018, KDIR'18, ECML PKDD 18 (Senor Programme Committee member), AI'18, ECML PKDD 17 (Senor Programme Committee member), IEEE ICDM'17 (Area Chair), AI'17, ICCBDC'17 (Programme Chair), AI Applications in Law (co-chair), ECML PKDD 16, IEEE ICDM'16 (Area Chair), IEEE Big Data 16, AI'16, IEEE ICDM'15 (Area Chair), IEEE Big Data 15, ECML PKDD 15, DaWak'15, AI'15, IEEE ICDM'14 (Area Chair), IEEE Big Data 14, ECML PKDD 14, ADMI'14 (Co-Chair), BigData'14, DaWak'14, AI'14, ADMA, DaWaK'13, IEEE ICDM'13, IEEE Big Data 13, AI'13, DMO'12 (Data Mining and Optimisation), ECML/PKDD'12, DaWaK'12, PAKDD'12, AI'12, ECML/PKDD'11, ADMI'11, DaWaK'11, AI'11, ICCBR'11 Workshop 6: Argumentation and Case Based Reasoning, ADMA'10, AI'10, DaWaK'10, IEEE ICDM'10 (Admin), 6th IFIP Intelligent Information Processing Conference, ibia ICDM'10, SIGKDD'09 (Admin), IEEE ICDM'09, ADMA'09, DaWaK'09, DMIN'09, IEEE ICDM'08, IEEE Workshop on Data Mining and AI (DMAI 2008), ADMA'08, UKKDD'08, DaWaK'08, DMIN'08, DEXA'08, ibia ICDM'08, IEEE ICDM'07, DMIN'07, DEXA'07, DaWak'07, ADMA'07, UKKDD'07, IADIS European Conference on Data Mining, IEEE ICDM'06, PMKD'06 Workshop, DMIN'06, DaWak'06, UKKDD'06, DEXA'06, IEEE ICDM'05, UKKDD'05, PMKD'05 Workshop (Philosophies and Methodologies for Knowledge Discovery).
I heve been a member of The British Computer Society, and its Specialist Group on AI, for many years.


I have also spent many years (starting with my PhD. in 1986!) working in the field of Artificial Intelligence (AI). My PhD, which I started in 1986, was oin driverless ships (a area of research which remains very topical although focussed on road vehicles), Activities include:

SGAI Logo BCS-SGAI: (from 1998 to 2009) I was a committee member of the SGAI --- Specialist Group on Artificial Intelligence (Formerly SGES). I am still on the programme committee for the AI series of conferences.
Expert Update: Editorship (1998-2005) of Expert Update (see below for sample covers), see also.
BCS-SGAI Annual Conference: Conf. Chair ES'99, ES'00 and ES'02; Dep. Conf. Chair ES'98, Tech. Prog. Chair ES'2001 and AI2003; Dep. Tech. Prog. Chair AI2004, AI2005, AI2006, AI2007, AI2008, AI2009.
FAIRS: I was one of the founders of the Forum for AI Research Students (FAIRS) and continue to be involved. The first event took place in 2007, The most recent event was FAIRS'23.
Expert Update
2(1) Expert Update
3(3) Expert Update
4(1) Expert Update



Editorial Board for Knowledge Engineering Review (KER) Associate Editor Knowledge and Information Systems Journal (KAIS)






+44 151 795 4253
+44 151 795 4235
Snail Mail:
Department of Computer Science
School of Electrical Engineering and Computer Science
Ashton Building, Ashton St.
University of Liverpool
P.O. Box 147, Liverpool L69 3BX
United Kingdom


The Chadwick Tower (painted by P.E. Dunne), previous home to the department of computer science.
Composer Lewis Coenen-Rowe's www page. My collection of interesting www page backgrounds.
Hexadecimal codes for HTML colours. Links to Rapheal's "School of athens" pages: Artcyclopedia.
The Conversation.


List of my published research papers many of which are available for download.


UoL WWW Page.


Fifteen current and previous KTPs: (i) Earlam and Partners Ltd, (ii) Business Doctors, (iii) Astech Projects, (iv) CSols 2, (v) Fletchers, (vi) BluPrint, (vii) Riverview, (viii) CSols, (ix) Your Sales Team Cloud, (x) Hit Search, (xi) Racewood, (xii) Deeside, (xiii) Transglobal, (xiv) Prima and (xv) Tachograph Analysis Consultants Ltd.

Brochure (May 2018)


Multimorbidity: Translational Research Access Programme (TRAP) award to better understand the prevalence and distribution of different patterns of multimorbidity and the effect on healthcare utilisation and prognosis using the techniques of machine learning and data science.
Astech: Knowledge Transfer Partnership (KTP) project. RAMP: Robot Arm Microplate Processing. Asech Projects Logo
BBSRC: Artificial Intelligence Tools For Automatic Single Molecule Analysis, collaboration with Institute of Ageing and Chronic Disease (TDFR 151480/RBJ/JE). BBSRC logo
CSols: Knowledge Transfer Partnership (KTP) project. Developing the concept of Dendrites, generic intelligent drivers for lab instruments. Involves elements or computer argumentation and t of data stream minimg (to predict sensor failure). CSOLS logo
The Digital Legal Assistant Project: Knowledge Transfer Partnership (KTP) project with Fletchers Solicitors Ltd. Investigating the use of Data Mining and AI technology for enhancing legal workflows. Fletchers logo
  1. Je-S Login.
  1. Research Professional.
  2. OSF (Polish Science Foundation).

PhDs. AND RAs.

Current and passed PhD students and Research Associates.
The Graduate School WWW site.
PhD Administration (restricted access).


Riverview Law: Knowledge Transfer Partnership (KTP) project directed at "making sense" of legal data using a variety of text minimg and text analysis tools to obtain an intermediate representation and then applying some form of reasoning to this intermediate representation. Riverview Law logo
Big Data Augmented Audience Verification: Knowledge Transfer Partnership (KTP) project with Bluprint Ltd. Investigating the use of data mining technology for customer-client matching and CRM with a view to te development of a stand alone software system (product). Bluprint logo
Your Sales Team Cloud The Your Sales Team Cloud< project: Knowledge Transfer Partnership (KTP) project, 1 July 2013 to 30 June 2015. Investigating the use of data mining technology for customer-client matching and CRM with a view to te development of a stand alone software system (product). YSTC logo
Hitsearch: Hitsearch Ltd, Knowledge Transfer Partnership (KTP) project, 3 September 2012 to 2 September 2014. Brand reputation mining; The Little Birdy on line reputation tracking system. Little Birdy icon
INMA European Project: Innovative Manufacturing of Complex Ti sheet components, European project, European Project, 1 September 2010 to 28 February 2014 (Local site).
Racewood: Racewood Ltd, Knowledge Transfer Partnership (KTP) project, 19 July 2010 to 18 July 2012. Building life size race horse simulators for jockey training. Racewood Logo
Deeside Insurance KTP: Deeside Insurance Knowledge Transfer Partnership (KTP) project, 11 August 2008 to 10 August 2010. A robust tool kit for building Web Based Applications. Deeside Logo
Transglobal Express Knowledge Transfer Partnership (KTP) project, development of a strategic software platform to provide support for the control of current and future "freight forwarding" operations in commercial enterprises. Commenced 1 June 2007, completed 31 August 2009. Transglobal Logo
Model Based Methods for supporting field service engineers in a flexible manufacturing context (the "stoves" project). Foresight-Link award commenced in December 1999, completed in January 2003. Stoves Logo
DOMAIN (Dynamic Operations Management Across the Internet). EPSRC project GR/M52915, September 1999-September 2002.
PRIMA TCS project (TCS programme No. 3452): "The invention and creation of a security firewall software application that will allow small companies to keep their business data secure on a single (PC) server while providing Internet access to any third party". Commenced in August 2001 completed in December 2002.
Knowledge Based System (KBS) Verification, Validation and Maintenance, EUROVAV'99 (see below).
The PETER (Plant and Equipment Tracking and Effective Retrieval) TCS project.
CORAL (Conceptualisation and Ontology Research at Liverpool).
dynamic Geographic Knowledge Based Information Systems (dGKBIS) EPSRC project. (Awarded ALPHA 5 for scientific and technological merit, and ALPHA 5 for management and use of resources.)
Spatial reasoning.
AI in Law.
Aide de Camp EPSRC project.
Maintenance Assistance for Knowledge Engineers (MAKE) EPSRC project resulting in the "MAKE" book (below).
IT in Marine Navigation.
Ph.D. on KBS in Marine Navigation.

Eurovav 99 Proceedings

Proceeding EUROVAV'99

ES2000 Proceedings

Maintenance of KBS (The "MAKE book")

Proceedings ADMI 2014: The Tenth International Workshop on Agents and Data Mining Interaction

Proceedings ADMI 2014 (Tenth International Workshop on Agents and Data Mining Interaction)

Created and maintained by Frans Coenen. Last updated 10 January 2024