Professor Martin Neil

Visiting Professor

Qualifications: BSc in Mathematics, PhD in Statistics and Software Metrics, Chartered Engineer

Further information

Biography

Martin is Professor in Computer Science and Statistics at the Department of Computer Science, Queen Mary, University of London, where he teaches decision and risk analysis and software engineering. Martin is also a joint founder and Chief Technology Officer of Agena Ltd, who develop and distribute AgenaRisk, a software product for modeling risk and uncertainty (Contact: martin@agena.co.uk) and a Visiting Reader in the Faculty of Engineering and Physical Sciences, University of Surrey.

Martin has over twenty years experience in academic research, teaching, consulting, systems development and project management and has published or presented over 70 papers in refereed journals and at major conferences . His interests cover Bayesian modeling and/or risk quantification in diverse areas: operational risk in finance, systems and design reliability (including software), software project risk, decision support, simulation (using dynamic discretisation as an alternative to Monte Carlo) cost benefit analysis, AI and personalization, and statistical learning.

Martin has consulted to Motorola, Philips, NATS, QinetiQ, Advantica, DSTL (UK MOD), ABSA, Ericsson, Royal Bank of Canada, TNO and others, either providing advanced risk modeling expertise or systems deployment and integration using AgenaRisk. Before setting up Agena and joining academia Martin previously held senior positions with JP Morgan and Lloyds Register in the areas of software project governance and safety critical systems evaluation respectively.

Martin earned a BSc in Mathematics, a PhD in Statistics and Software Metrics and is a Chartered Engineer.

The paper "Neil M. and Fenton N.E. A Critique of Software Defect Prediction Research. IEEE Transactions on Software Engineering,.25, No. 5, 1999" is placed in the top 1%, within its field, according to the number of citations received, as calculated by Essential Science Indicators in Web of Science (see http://isiwebofknowledge.com).

More information about Martin can be found at his web site at Queen Mary, University of London: http://www.eecs.qmul.ac.uk/~martin

Research Interests

  • Bayesian Networks
  • Risk Analysis (in all domains)
  • Machine Learning and Statistics
  • Decision Support
  • Monte Carlo Simulation
  • Data Fusion and Intelligent Systems