Prof Dave Robertson
Professor of Applied Logic / Head of College of Science & Engineering
College of Science & Engineering
The King's Buildings
Max Born Crescent
- Post code
- EH9 3BF
David Robertson's computing research is on formal methods for coordination and knowledge sharing in distributed, open systems using ubiquitous internet and mobile infrastructures - the goal being to develop theories, languages and tools that out-perform conventional software engineering approaches in these arenas. His current work develops these ideas for social computation (where the nodes in the computing network may be humans).
Methods from his group have also been applied to other areas such as astronomy, simulation of consumer behaviour and emergency response but his main application focus is on medicine and healthcare.
He is currently Head of College of Science & Engineering. Before this he was co-Director for the Centre for Medical Informatics and a member of the Farr Institute for medical data sharing. Prior to that, he was Head of School of Informatics.
Responsibilities & affiliations
He is a Fellow of the British Computing Society and chairs the executive of the UK Computing Research Committee (the expert panel of BCS and IET).
He is a member of the EPSRC Strategic Advisory Team for ICT and of the MRC Population Health Sciences advisory group; is on the Industry Advisory Board for Innovate UK’s Complex Systems programme and is a member of the management board for the Scottish Innovation Centre in Data Science.
Dave's projects include work on SociaM EPSRC Programme, Smart Societies and SocialIST.
Agent-based modelling of Pattern Formation in Pluripotent Stem Cells
RESPIRE: The National Institute for Health Research's (NIHR) Global Respiratory Health Unit
Social Machines for All
Computational modelling for decision-making: where, why, what, who and how
Secure information sharing in social agent interactions using information flow analysis
Towards Executable Representations of Social Machines
Hazard prevention in mission plans for aerial vehicles based on soft institutions
Designing a Social Machine for the Heart Manual Service
Healthcare Data Safe Havens: Towards a Logical Architecture and Experiment Automation