Professor Martin Neil

Professor of Computer Science and Statistics
Email: m.neil@qmul.ac.ukRoom Number: Peter Landin, CS 439Website: http://www.eecs.qmul.ac.uk/~martin
Teaching
Bayesian Decision and Risk Analysis (Postgraduate)
The module will cover: Introduction to information systems; Types of information system; Uses of Information systems; Information systems in e-commerce and e-business; Information system design and development; Case studies of business information systems; The human factor in information systems; Legal and ethical issues in Information systems.
Bayesian Decision and Risk Analysis (Undergraduate)
The role of software is increasingly critical in our everyday lives and the accompanying risks of business or safety critical systems failure can be profound. This module will provide you with a framework for articulating and managing the risks inherent in the systems you will develop as a practitioner. Likewise, you will learn how to build decision-support tools for uncertain problems in a variety of contexts (legal, medical, safety), but with a special emphasis on software development. This module will make a distinctive offering that will enable you to bring a principled approach to bear to analysing and solving uncertain and risky problems. Module contents: Quantification of risk and assessment: Bayesian Probability and Utility Theory, Bayes Theorem and Bayesian updating; Causal modelling using Bayesian networks with examples; Measurement for risk: Principles of measurement, Software metrics, Introduction to multi-criteria decision aids; Principles of risk management: The risk life-cycle, Fault trees, Hazard analysis; Building causal models in practice: Patterns, identification, model reuse and composition, Eliciting and building probability tables; Real world examples; Decision support environments.
Publications
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Lin P, Neil M, Fenton N et al. (2022). Region-based estimation of the partition functions for hybrid Bayesian network models. nameOfConference
DOI: 10.1002/int.22973
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Mclachlan S, Neil M, Dube K et al. (2022). Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety. nameOfConference
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Hunte JL, Neil M, Fenton NE (2022). A causal Bayesian network approach for consumer product safety and risk assessment. nameOfConference
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Hunte JL, Neil M, Fenton NE (2022). A causal Bayesian network approach for consumer product safety and risk assessment.. nameOfConference
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Neil M, Fenton N (2021). Bayesian Hypothesis Testing and Hierarchical Modeling of Ivermectin Effectiveness.. nameOfConference
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Neil M (2021). Positive results from UK single gene testing for SARS-COV-2 may be inconclusive, negative or detecting past infections. nameOfConference
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Lin P, Neil M, Fenton N (2021). A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models. nameOfConference
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McLachlan S, Paterson H, Dube K et al. (2020). Real-Time Online Probabilistic Medical Computation using Bayesian Networks. nameOfConference
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Osman M, meder B, Fenton N et al. (2020). Learning from behavioural changes that fail. nameOfConference
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Fenton N, Neil M, Yet B et al. (2020). Analyzing the Simonshaven Case Using Bayesian Networks. nameOfConference
DOI: 10.1111/tops.12417
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Kyrimi E, Raniere Neves M, Mclachlan S et al. (2020). Medical idioms for clinical Bayesian network development. nameOfConference
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Neil M, Fenton N, Osman M et al. (2020). Bayesian Network Analysis of Covid-19 data reveals higher Infection Prevalence Rates and lower Fatality Rates than widely reported. nameOfConference
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Neil M, Fenton N, Osman M et al. (2020). Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported. nameOfConference
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Fenton N, Osman M, Mclachlan S et al. (2020). COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing. nameOfConference
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Fenton N, Neil M, Constantinou A (2020). The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018). nameOfConference
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Lin P, Neil M, Fenton N (2020). Improved high dimensional discrete Bayesian network inference using triplet region construction. nameOfConference
DOI: 10.1613/JAIR.1.12198
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Neil M, Fenton N, Lagnado D et al. (2019). Modelling competing legal arguments using Bayesian model comparison and averaging. nameOfConference
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Wang J, Neil M, Fenton N (2019). A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model. nameOfConference
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Fenton N, Lagnado D, Dahlman C et al. (2019). The Opportunity Prior: A proof-based prior for criminal cases. nameOfConference
DOI: 10.1093/lpr/mgz007
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Neil M, Fenton N, Osman M et al. (2019). Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment. nameOfConference
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FENTON NE, NEIL M, NOGUCHI T (2019). An extension to the noisy-OR function to resolve the ‘explaining away’ deficiency for practical Bayesian network problem. nameOfConference
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FENTON NE, NOGUCHI T, NEIL M (2018). Addressing the Practical Limitations of Noisy-OR using Conditional Inter-causal Anti-Correlation with Ranked Nodes. nameOfConference
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OSMAN M, FENTON NE, Pilditch T et al. (2018). Who do we trust on social policy interventions. nameOfConference
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Osman M, Fenton N, Pilditch T et al. (2018). Whom Do We Trust on Social Policy Interventions?. nameOfConference
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Fenton N, Neil M (2018). Improving Software Testing with Causal Modeling. nameOfConference
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YET B, NEIL M, FENTON N et al. (2018). An Improved Method for Solving Hybrid Influence Diagrams. nameOfConference
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FENTON NE, NEIL M (2018). Lawnmowers versus terrorists: A highly misleading view of risk. nameOfConference
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Yet B, Constantinou A, Fenton N et al. (2018). Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. nameOfConference
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FENTON NE, Lagnado D, Dahlman C et al. (2017). The Opportunity Prior: A Simple and Practical Solution to the Prior Probability Problem for Legal Cases. International Conference on AI and the Law (ICAIL 17)
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Fenton N, Neil M, Lagnado D et al. (2016). How to model mutually exclusive events based on independent causal pathways in Bayesian network models. nameOfConference
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Yet B, CONSTANTINOU AC, Fenton N et al. (2016). A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study. nameOfConference
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CONSTANTINOU AC, FENTON N, NEIL M (2016). Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. nameOfConference
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FENTON NE, neil M, Berger D (2016). Bayes and the Law. nameOfConference
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Constantinou AC, Yet B, Fenton N et al. (2015). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. nameOfConference
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FENTON NE, Zhou Y, Hospedales T et al. (2015). Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. Uncertainty in Artificial Intelligence
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Zhou Y, Fenton N, Hospedales TM et al. (2015). Probabilistic graphical models parameter learning with transferred prior and constraints. nameOfConference
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Lin P, Neil M, Fenton NE (2014). Risk Aggregation in the presence of Discrete Causally Connected Random Variables. nameOfConference
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Fenton N, Lagnado D, Hsu A et al. (2014). Response to "on the use of the likelihood ratio for forensic evaluation: response to Fenton et al.".. nameOfConference
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Zhou Y, Fenton N, Neil M (2014). An extended MPL-C model for Bayesian network parameter learning with exterior constraints. nameOfConference
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Zhou Y, Fenton N, Neil M (2014). Bayesian network approach to multinomial parameter learning using data and expert judgments. nameOfConference
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Fenton NE, Neil M (2014). Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks. nameOfConference
DOI: 10.1109/MS.2014.32
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Fenton N, Berger D, Lagnado D et al. (2014). When 'neutral' evidence still has probative value (with implications from the Barry George Case). nameOfConference
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Langseth H, Marquez D, Neil M (2013). Fast approximate inference in hybrid Bayesian networks using dynamic discretisation. nameOfConference
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Fenton NE, Neil M, Hsu A (2013). Calculating and understanding the value of any type of match evidence when there are potential testing errors. nameOfConference
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Constantinou AC, Fenton NE, Neil M (2013). Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. nameOfConference
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FENTON NE, Neil M, Lagnado D (2013). A General Structure for Legal Arguments About Evidence Using Bayesian Networks. nameOfConference
DOI: 10.1111/cogs.12004
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Constantinou A, FENTON NE, Neil M (2012). pi-football: A Bayesian network model for forecasting Association Football match outcomes. nameOfConference
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Neil M, Chen X, Fenton NE (2012). Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks using Binary Factorization. nameOfConference
DOI: 10.1109/TKDE.2011.87
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Neil M, Marquez D (2012). Availability modelling of repairable systems using Bayesian networks. nameOfConference
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FENTON NE, Lagnado D, Neil M (2012). Legal idioms: a framework for evidential reasoning. nameOfConference
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Fenton N, Neil M (2012). Risk assessment and decision analysis with bayesian networks. nameOfConference
DOI: 10.1201/b21982
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Fenton N, Neil M (2010). Comparing risks of alternative medical diagnosis using Bayesian arguments.. nameOfConference
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Marquez D, Neil M, Fenton N (2010). Improved reliability modeling using Bayesian networks and dynamic discretization. nameOfConference
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Neil M, Marquez D, Fenton N (2010). Improved Reliability Modeling using Bayesian Networks and Dynamic Discretization. nameOfConference
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Fenton NE, Hearty P, Neil M et al. (2010). Software project and quality modelling using Bayesian networks. nameOfConference
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Neil M, Marquez D (2009). Dependability Modelling of Repairable Systems using Bayesian Networks. nameOfConference
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Neil M, Marquez D (2009). Dependability modelling of repairable systems using Bayesian Networks. nameOfConference
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Neil M, Hager D (2009). Modeling Operational Risk in Financial Institutions using Hybrid Dynamic Bayesian Networks. nameOfConference
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Hearty P, Fenton N, Marquez D et al. (2009). Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. nameOfConference
DOI: 10.1109/TSE.2008.76
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N Fenton MN, Radliński Ł (2009). Software Project and Quality Modelling Using Bayesian Networks. nameOfConference
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Marquez D, Neil M, Fenton N (2008). Solving dynamic fault trees using a new hybrid Bayesian network inference algorithm. nameOfConference
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Fenton N, Neil M, Marsh W et al. (2008). On the effectiveness of early life cycle defect prediction with Bayesian Nets. nameOfConference
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Neil M, Tailor M, Marquez D et al. (2008). Modelling dependable systems using hybrid Bayesian networks. nameOfConference
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Marquez D, Neil M, Fenton N (2008). Solving Dynamic Fault Trees using a New Hybrid Bayesian Network Inference Algorithm. nameOfConference
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FENTON NE, Neil M, Marquez D (2008). Using Bayesian Networks to Predict Software Defects and Reliability. nameOfConference
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Fenton NE, Neil M, Caballero JG (2007). Using ranked nodes to model qualitative judgments in Bayesian Networks. nameOfConference
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Neil M, Tailor M, Marquez D (2007). Inference in hybrid Bayesian networks using dynamic discretization. nameOfConference
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Neil M, FENTON NE, Hearty P et al. (2007). Modelling dependable systems using hybrid Bayesian networks. nameOfConference
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Neil M, Tailor M, Marquez D (2007). Inference in hybrid Bayesian networks using dynamic discretization. nameOfConference
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Fenton N, Neil M, Marsh W et al. (2007). Predicting software defects in varying development lifecycles using Bayesian nets. nameOfConference
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Fenton NE, Neil M, Marsh W et al. (2007). Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. ICSE PROMISE (Predictive Models in Software Engineering) 07
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Khodakarami V, Fenton N, Neil M (2007). Project Scheduling: Improved approach to incorporate uncertainty using Bayesian Networks. nameOfConference
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Fenton N, Neil M (2006). Comment: Expert elicitation for reliable system design. nameOfConference
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Fenton N, Neil M (2006). Expert elicitation for reliable system design - Comment. nameOfConference
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Joseph A, Fenton NE, Neil M (2006). Predicting football results using Bayesian nets and other machine learning techniques. nameOfConference
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Fenton NE, Neil M (2006). Expert Elicitation for Reliable System Design. nameOfConference
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Neil M, FENTON NE, Radlinski L (2006). Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. nameOfConference
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Neil M, Tailor M, Fenton N et al. (2006). Modeling Dependable Systems using Hybrid Bayesian Networks. nameOfConference
DOI: 10.1109/ARES.2006.83
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Neill M, Tailor M, Marquez D et al. (2006). Modeling dependable systems using hybrid Bayesian networks. nameOfConference
DOI: 10.1109/ARES.2006.83
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Neil M, Fenton N, Tailor M (2005). Using Bayesian networks to model expected and unexpected operational losses. nameOfConference
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Hearty P, FENTON NE, Neil M et al. (2005). Automated population of causal models for improved software risk assessment. 20th IEEE/ACM International Conference on Automated Software Engineering
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Fenton N, Marsh W, Neil M et al. (2004). Making resource decisions for software projects. nameOfConference
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Neil M, Shaw R, Johnson S et al. (2003). Measuring & Managing Culturally Inspired Risk. 11th Safety-Critical Systems Symposium
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Neil M, FENTON NE, Krause P (2003). Software Quality Prediction Using Bayesian Networks. nameOfConference
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Fenton N, Krause P, Neil M (2002). Software measurement: Uncertainty and causal modeling. nameOfConference
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Fenton NE, Krause P, Neil M (2002). Probabilistic Modelling for Software Quality Control. nameOfConference
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Fenton N, Neil M (2001). Making decisions: using Bayesian nets and MCDA. nameOfConference
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Neil M, Fenton N, Forey S et al. (2001). Using Bayesian belief networks to predict the reliability of military vehicles. nameOfConference
DOI: 10.1049/cce:20010103
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Fenton N, Krause P, Neil M (2001). Probabilistic modelling for software quality control. nameOfConference
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Neil M, FENTON NE, Krause P (2001). Software Metrics: Uncertainty and causal Modelling. EuroSPI conference, Limerick Institute of Technology
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Neil M, Fenton N, Nielsen L (2000). Building large-scale Bayesian networks. nameOfConference
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Neil M, Fenton N, Nielsen L (2000). Building large-scale Bayesian Networks. nameOfConference
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Fenton NE, Littlewood B, Neil M et al. (1998). Assessing dependability of safety critical systems using diverse evidence. nameOfConference
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Neil M, Ostralenk G, Tobin M et al. (1998). Lessons from using Z to specify a software tool. nameOfConference
DOI: 10.1109/32.663995
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Neil M, Littlewood B, Fenton NE (1996). Applying Bayesian belief networks to systems dependability assessment. nameOfConference
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Littlewood B, Neil M, Ostrolenk G (1996). The Role of Models in Managing Uncertainty of Software-Intensive Systems. nameOfConference
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Neil MD (1994). Measurement as an alternative to Bureaucracy for the achievement of Software Quality. nameOfConference
DOI: 10.1007/BF00213631
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Neil MD, Slater D, Cole RJ (1990). Measures for Maintenance Management: A Case Study. nameOfConference
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