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 current 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 medical machine and deep learning, and the application of machine learning to unusual data sets. 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 mining techniques to automatically collect census 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 Analysis: 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 Group in 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 hold the world record for the number of Knowledge Transfer Projects (KTP) supervised. 16 in total, 18 associates.
	I am (or have been) a member of a great many Machine Learning 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 conferences.
	I am very pleased to have been the University of Liverpool Doctoral Network in AI for Future Digital Health.
	I have 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 on driverless ships (an area of research which remains very topical although currently focussed on road vehicles), Activities include:

	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).
	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. There will be a FAIRS in 2024.