Dr. Simon Miles
Department of Informatics
King's College London
+44 (0)20 7848 1166
Please see the student handbook to see which modules I am teaching at present. Course materials are available from the College's e-learning site during teaching term.
I am head of the Agents and Intelligent Systems research group in the Department of Informatics. The group works on distributed artificial intelligence and automated reasoning. Among many areas of expertise, the group leads research into modelling of arguments, provenance, and norms, and the development of reasoning over these in practical systems, in particular in healthcare and clinical research, to support legal reasoning, in economic marketplaces, in analysis of social networks, and in aerospace applications.
My own research interests relate to e-research (particularly the provenance of data), and multi-agent systems (particularly normative systems). Since 2000, I have published over 130 papers in these areas. A selection of my recent journal articles are listed below.
- The Rationale of PROV, in Journal of Web Semantics
- An Introduction to Reasoning over Qualitative Multi-attribute Preferences, in Knowledge Engineering Review
- Decision Making with Natural Language based Preferences and Psychology-inspired Heuristics, in Engineering Applications of Artificial Intelligence
- Implementing interoperable provenance in biomedical research, in Future Generation Computer Systems
- Informative Provenance for Repurposed Data – A Case Study using Clinical Research Data, in International Journal of Digital Curation
- Natural Language based Representation of User Preferences, in Interacting with Computers
- An Adaptable Architecture for Patient Cohort Identification from Diverse Data Sources, in Journal of the American Medical Informatics Association
- Evolutionary Testing of Autonomous Software Agents, in Journal of Autonomous Agents and Multi-Agent Systems.
- Requirements for Provenance on the Web, in International Journal of Digital Curation.
- PrIMe: A Methodology for Developing Provenance-Aware Applications, in ACM Transactions on Software Engineering and Methodology.
I am currently an investigator on the following projects. Please see my CV for past projects.
- Justified Assessments of Service Provider Reputation (JASPR), Principal investigator at KCL and overall project coordinator
- Engineering Emergence in Large-Scale Simulations (EELS), Principal investigator at KCL and overall project coordinator
- Electronic Health Records for Clinical Research (EHR4CR), Lead investigator for Informatics at KCL
- Dynamic nutrItion bEhaviour awareness sysTem FOR the Elders (DIET4Elders), Principal Investigator at KCL
I am an invited expert to the W3C working group on provenance, which produced a standard specifying how to represent provenance data for exchange online, PROV, including many supporting documents explaining how the provenance data may be accessed and queried, translated to other representations, extended, and so on. The specifications were published as an official W3C recommendation in April 2013. An overview of the specifications can be seen here.
In particular, I was co-editor of a primer on the recommended model for provenance data. This is an accessible starting point for anyone wishing to learn about PROV.
I am currently first supervisor of the following students (areas of expertise in italics).
- Niall Creech
- Sara Boutamina: Provenance in global food distribution
- Tomas Vitek: Emergent social norms, smart cities
- Andrew Lane: Drivers of ecological disturbance, agent-based modelling
- Paraskevi Zerva: Non-functional properties, provenance, composite services
- Tsvetan Zhivkov: Emergency services data analytics
I am not taking on further PhD students at the moment.
Conferences and Editing
I am involved in the organisation of these forthcoming workshops and conferences.
- Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), San Francisco, California, US, February 2017, PC member
I am editor of a special issue of ACM Transactions on Internet Technology concerning the Provenance of Online Data, due to be published in 2017.