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Department of Computer Science

Research

My research includes:

  • Trust and reputation: When autonomous agents cooperate there is a risk that one or more of them may rescind on an agreement to cooperate, causing costs to be incurred by the remaining agents. My work investigates how trust and reputation can be used to manage this risk, particularly supported by provenance records and machine learning.
  • Machine learning and data mining: I am investigating the application of machine learning and data mining techniques in multi-agent systems, (online and offline) social networks and vehicle driver monitoring and intelligent vehicle applications, including mining telemetry and mobility data
  • Social norms and convention emergence: In large open populations, norms and conventions are a useful tool for enabling cooperation and coordination. I am investigating techniques for supporting and directing the emergence of norms and conventions.
  • Social network analysis: I work on developing techniques for characterising online and offline social networks, identifying and understanding influence and dynamics, and manipulating influence and behaviour propagation.
  • Legal aspects of service-oriented computing: My work includes investigating how legal concepts such as rights, obligations and liabilities can be agreed, defined and managed in the context of service-oriented computing and virtual organisations.

More details of my research activities can be found in my publications.

Current projects:

  • Modelling the spread of multiple behavioural risk factors for cardiovascular disease in social networks using an agent-based model, N. Griffiths (PI), O. Oyebode, and J. Archbold, funded by MRC as part of the Population Health Agent-based Simulation nEtwork (PHASE), 2022-2023.
  • Improving Transparency of Intelligent Systems to Support Safety Assurance for Autonomy, N. Griffiths (PI), T. Popham, A. Bhalerao, funded by ESPRC and TRL under the Industrial CASE scheme, 2021-2025.

Recent projects include:

  • Anthropogenic Global Catastrophic Risk: The Challenge of Governance, K. Hyams, N. Griffiths, P. Sebastien, J. McCarthy, funded by The Leverhulme Trust, 2018-2020.
  • Processing Techniques for Transport Related Big Data, S. Jarvis and N. Griffiths, funded by ESPRC and TRL, 2016-2020.
  • TASCC: The Cooperative Car, N. Griffiths, A. Bhalerao, D. Watson, N. Chater, G. Cormode, S. Jarvis, funded by ESPRC and Jaguar Land Rover, (EP/N012380/1), 2015-2020.
  • The Self-Learning and Connected Car, N. Griffiths, Royal Society Industrial Fellowship Scheme, 2015-2019.
  • GPU-based, real-time, deep learning for vehicle telemetry, N. Griffiths and A. Grzywaczekski, funded by ESPRC and Jaguar Land Rover under the Industrial CASE scheme, 2015-2019.
  • JASPR: Justified Assessments of Service Provider Reputation, N. Griffiths (Warwick PI) and S. Miles (KCL PI), EPSRC (EP/M012662/1 and EP/M012654/1), 2014-2018.
  • Data sources for e-mobility, S. Jarvis and N. Griffiths, Jaguar Land Rover, 2014-2021.
  • Academic Covert Support, N. Griffiths, University of Warwick RDF with West Midlands Police, 2014-2015.
  • Driver Monitoring: Assessing Cognitive Load, N. Griffiths. EPSRC and Jaguar Land Rover, 2011-2015.
  • Drug Wars: Scoping work with West Midlands Police on data analytics, N. Griffiths, University of Warwick Sustainable Cities Demonstrator Fund, 2012-2013.