Research

intelligent risk assessment, decision analysis, Bayesian statistical methods, probability, project risk

Interests

He is interested in intelligent risk assessment and decision analysis using knowledge and data. Typically this involves analysing and predicting the probabilities of unknown events using Bayesian statistical methods including causal, probabilistic models (Bayesian networks). In addition to working on theoretical and algorithmic foundations, this work covers a wide range of application domains such as: medical analytics, legal reasoning, embedded software, operational risk in finance, systems and design reliability (including software), project risk, commercial risk, decision support, cost benefit analysis, AI and personalisation, machine learning, legal argumentation, cyber security and football prediction.

Publications

Publications of specific relevance to Applied Data Science

2020

Osman M, meder B, Fenton N, Neil M, Mclachlan S and Löfsted R (2020). Learning from behavioural changes that fail., Editors: Drayton L. Elsevier  Trends in Cognitive Sciences  10.1016/j.tics.2020.09.009

Fenton N, Neil M, Yet B and Lagnado D (2020). Analyzing the Simonshaven Case Using Bayesian Networks. Topics in Cognitive Science  vol. 12, (4) 1092-1114. 10.1111/tops.12417

Kyrimi E, Raniere Neves M, Mclachlan S, Neil M, Marsh W and Fenton N (2020). Medical idioms for clinical Bayesian network development. Elsevier  Journal of Biomedical Informatics  10.1016/j.jbi.2020.103495

Neil M, Fenton N, Osman M and McLachlan S (2020). Bayesian Network Analysis of Covid-19 data reveals higher Infection Prevalence Rates and lower Fatality Rates than widely reported. Taylor & Francis (Routledge)  Journal of Risk Research  10.1101/2020.05.25.20112466

Neil M, Fenton N, Osman M and McLachlan S (2020). Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported. Journal of Risk Research  10.1080/13669877.2020.1778771

Fenton N, Osman M, Mclachlan S and Neil M (2020). COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing. Taylor & Francis (Routledge)  Journal of Risk Research  10.1080/13669877.2020.1756381

Fenton N, Neil M and Constantinou A (2020). The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018). Elsevier Bv  Artificial Intelligence  vol. 284, 103286-103286. 10.1016/j.artint.2020.103286

Lin P, Neil M and Fenton N (2020). Improved high dimensional discrete Bayesian network inference using triplet region construction. Journal of Artificial Intelligence Research  vol. 69, 231-295. 10.1613/JAIR.1.12198

2019

Neil M, Fenton N, Lagnado D and Gill RD (2019). Modelling competing legal arguments using Bayesian model comparison and averaging. Artificial Intelligence and Law  vol. 27, (4) 403-430. 10.1007/s10506-019-09250-3

Wang J, Neil M and Fenton N (2019). A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model. Elsevier  Computers and Security  vol. 89, 10.1016/j.cose.2019.101659

Fenton N, Lagnado D, Dahlman C and Neil M (2019). The Opportunity Prior: A proof-based prior for criminal cases. Oxford University Press (Oup)  Law, Probability and Risk  10.1093/lpr/mgz007

Neil M, Fenton N, Osman M and Lagnado D (2019). Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment. Journal of Risk Research  10.1080/13669877.2019.1604564

FENTON NE, NEIL M and NOGUCHI T (2019). An extension to the noisy-OR function to resolve the ‘explaining away’ deficiency for practical Bayesian network problem. Institute of Electrical and Electronics Engineers  Ieee Transactions On Knowledge and Data Engineering  10.1109/TKDE.2019.2891680

2018

FENTON NE, NOGUCHI T and NEIL M (2018). Addressing the Practical Limitations of Noisy-OR using Conditional Inter-causal Anti-Correlation with Ranked Nodes. Institute of Electrical and Electronics Engineers  Ieee Transactions On Knowledge and Data Engineering  10.1109/TKDE.2018.2873314

OSMAN M, FENTON NE, Pilditch T, Lagnado D and NEIL M (2018). Who do we trust on social policy interventions. Basic and Applied Social Psychology  10.1080/01973533.2018.1469986

Osman M, Fenton N, Pilditch T, Lagnado D and Neil M (2018). Whom Do We Trust on Social Policy Interventions? Basic and Applied Social Psychology  10.1080/01973533.2018.1469986

Fenton N and Neil M (2018). Improving Software Testing with Causal Modeling. Analytic Methods in Systems and Software Testing  10.1002/9781119357056.ch2

YET B, NEIL M, FENTON N, CONSTANTINOU AC and DEMENTIEV E (2018). An Improved Method for Solving Hybrid Influence Diagrams. Elsevier  International Journal of Approximate Reasoning  10.1016/j.ijar.2018.01.006

FENTON NE and NEIL M (2018). Lawnmowers versus terrorists: A highly misleading view of risk. Royal Statistical Society  Significance  vol. 15, (1) 12-15. 10.1111/j.1740-9713.2018.01104.x

Yet B, Constantinou A, Fenton N and Neil M (2018). Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. Ieee Access  vol. 6, 7802-7817. 10.1109/ACCESS.2018.2799527

FENTON NE and NEIL M (2018). Are lawnmowers a greater risk than terrorists?

2017

Neil M and Fenton N (2017). Risk Management Using Bayesian Networks. Wiley Statsref: Statistics Reference Online  10.1002/9781118445112.stat07943

Morrison GS, Kaye DH, Balding DJ, Taylor D, Dawid P, Aitken CGG, Gittelson S, Zadora G, Robertson B, Willis S, Pope S, Neil M, Martire KA, Hepler A, Gill RD, Jamieson A, de Zoete J, Ostrum RB and Caliebe A (2017). A comment on the PCAST report: Skip the “match”/“non-match” stage. Forensic Science International  vol. 272, e7-e9. 10.1016/j.forsciint.2016.10.018

2016

Fenton N, Neil M, Lagnado D, William M, Yet B and CONSTANTINOU AC (2016). How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowledge-Based Systems  10.1016/j.knosys.2016.09.012

Yet B, CONSTANTINOU AC, Fenton N, Neil M, Luedeling E and Shepherd K (2016). A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study. Expert Systems With Applications  10.1016/j.eswa.2016.05.005

CONSTANTINOU AC, FENTON N and NEIL M (2016). Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Systems With Applications  10.1016/j.eswa.2016.02.050

FENTON NE, neil M and Berger D (2016). Bayes and the Law. Annual Review of Statistics and Its Application  vol. 3, 51-77. 10.1146/annurev-statistics-041715-033428

2015

Constantinou AC, Yet B, Fenton N, Neil M and Marsh W (2015). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Elsevier  Artificial Intelligence in Medicine  vol. 66, 41-52. 10.1016/j.artmed.2015.09.002

2014

Lin P, Neil M and Fenton NE (2014). Risk Aggregation in the presence of Discrete Causally Connected Random Variables. Annals of Actuarial Science  vol. 8, (2) 298-319. 10.1017/S1748499514000098

Fenton N, Lagnado D, Hsu A, Berger D and Neil M (2014). Response to on the use of the likelihood ratio for forensic evaluation: response to Fenton et al.. Sci Justice  vol. 54, (4) 319-320. 10.1016/j.scijus.2014.05.005

Fenton NE and Neil M (2014). Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks. Ieee Explore  Ieee Software  vol. 31, (2) 21-26. 10.1109/MS.2014.32

Zhou Y, Fenton N and Neil M (2014). Bayesian network approach to multinomial parameter learning using data and expert judgments. Elsevier/Science Direct  International Journal of Approximate Reasoning  vol. 55, 1252-1268. 10.1016/j.ijar.2014.02.008

Fenton N, Berger D, Lagnado D, Neil M and Hsu A (2014). When 'neutral' evidence still has probative value (with implications from the Barry George Case). Science and Justice  vol. 54, (4) 274-287. 10.1016/j.scijus.2013.07.002

Zhou Y, Fenton N and Neil M (2014). An extended MPL-C model for Bayesian network parameter learning with exterior constraints. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformat  vol. 8754, 581-596. 10.1007/978-3-319-11433-0_38

2013

Fenton NE, Neil M and Hsu A (2013). Calculating and understanding the value of any type of match evidence when there are potential testing errors. Springer (Part of Springer Nature)  Artificial Intelligence and Law  vol. 22, (1) 1-28. 10.1007/s10506-013-9147-x

Constantinou AC, Fenton NE and Neil M (2013). Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. Knowledge-Based Systems  vol. 50, 60-86. 10.1016/j.knosys.2013.05.008

FENTON NE, Neil M and Lagnado D (2013). A General Structure for Legal Arguments About Evidence Using Bayesian Networks. Wiley Online Library  Cognitive Science  vol. 37, (1) 61-102. 10.1111/cogs.12004

Fenton N, Berger D, Lagnado D, Neil M and Hsu A (2013). When 'neutral' evidence still has probative value (with implications from the Barry George Case). Science and Justice  10.1016/j.scijus.2013.07.002

2012

Constantinou A, FENTON NE and Neil M (2012). pi-football: A Bayesian network model for forecasting Association Football match outcomes. Elsevier  Knowledge Based Systems  vol. 36, 322-339. 10.1016/j.knosys.2012.07.008

Neil M, Chen X and Fenton NE (2012). Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks using Binary Factorization. Ieee  Ieee Transactions On Knowledge and Data Engineering  vol. 7, (24) 1306-1312. 10.1109/TKDE.2011.87

Neil M and Marquez D (2012). Availability modelling of repairable systems using Bayesian networks. Elsevier/Science Direct  Engineering Applications of Artificial Intelligence  vol. 25, (4) 698-704. 10.1016/j.engappai.2010.06.003

FENTON NE, Lagnado D and Neil M (2012). Legal idioms: a framework for evidential reasoning. Taylor & Francis Online  Argument and Computation  vol. 4, (1) 46-63. 10.1080/19462166.2012.682656

FENTON NE and Neil M (2012). Risk Assessment with Bayesian Networks. Crc Press 

Fenton N and Neil M (2012). Risk assessment and decision analysis with bayesian networks. 10.1201/b21982

2011

FENTON NE and Neil M (2011). Avoiding Legal Fallacies in Practice Using Bayesian Networks. Australian Journal of Legal Philosophy  vol. 36, 114-150.

FENTON NE and Neil M (2011). The use of Bayes' and causal modelling in decision making, uncertainty and risk. Upgrade, The Journal of Cepis (Council of European Professional Informatics Societies)  vol. 12, (5) 10-21.

2010

Fenton N and Neil M (2010). Comparing risks of alternative medical diagnosis using Bayesian arguments. J Biomed Inform  vol. 43, (4) 485-495. 10.1016/j.jbi.2010.02.004

Marquez D, Neil M and Fenton N (2010). Improved reliability modeling using Bayesian networks and dynamic discretization. Reliability Engineering & System Safety  vol. 95, (4) 412-425. 10.1016/j.ress.2009.11.012

Neil M, Marquez D and Fenton N (2010). Improved Reliability Modeling using Bayesian Networks and Dynamic Discretization. Journal of Reliability Engineering and System Safety  vol. 95, (4) 412-425. 10.1016/j.ress.2009.11.012

Fenton NE, Hearty P, Neil M and Radli ski (2010). Software project and quality modelling using Bayesian networks. Artificial Intelligence Applications For Improved Software Engineering Development: New Prospects , Editors: Meziane F and Vadera S. Igi Global  10.4018/978-1-60566-758-4

2009

Neil M and Marquez D (2009). Dependability Modelling of Repairable Systems using Bayesian Networks. Ifac Proceedings Volumes  vol. 42, (5) 221-226. 10.3182/20090610-3-it-4004.00043

Hearty P, Fenton N, Marquez D and Neil M (2009). Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. Ieee T Software Eng  vol. 35, (1) 124-137. 10.1109/TSE.2008.76

N Fenton MN and Radli ski (2009). Software Project and Quality Modelling Using Bayesian Networks. Artificial Intelligence Applications For Improved Software Engineering Development: New Prospects. (Part of The Advances in Inte  Information Science Reference. 

Neil M and Hager D (2009). Modeling Operational Risk in Financial Institutions using Hybrid Dynamic Bayesian Networks. Journal of Operational Risk  vol. 4, (1) 3-33. 10.21314/jop.2009.057

2008

Marquez D, Neil M and Fenton N (2008). Solving dynamic fault trees using a new hybrid Bayesian network inference algorithm. 2008 Mediterranean Conference On Control and Automation - Conference Proceedings, Med'08  609-614. 10.1109/MED.2008.4602222

Fenton N, Neil M, Marsh W, Hearty P, Radlinski L and Krause P (2008). On the effectiveness of early life cycle defect prediction with Bayesian Nets. Empirical Software Engineering  vol. 13, (5) 499-537. 10.1007/s10664-008-9072-x

Neil M, Tailor M, Marquez D, Fenton NE and Hearty P (2008). Modelling dependable systems using hybrid Bayesian networks. Reliability Engineering and System Safety  vol. 93, (7) 933-939. 10.1016/j.ress.2007.03.009

FENTON NE, Neil M and Marquez D (2008). Using Bayesian Networks to Predict Software Defects and Reliability. Institution of Mechanical Engineers  Proceedings of The Institution of Mechanical Engineers, Part O, Journal of Risk and Reliability  vol. 222, (4) 701-712. 10.1243/1748006XJRR161

Neil M, Marquez D and Fenton N (2008). Using Bayesian Networks to Model the Operational Risk to Information Technology Infrastructure in Financial Institutions. Journal of Financial Transformation  vol. 22, 131-138.

2007

Fenton NE, Neil M and Caballero JG (2007). Using ranked nodes to model qualitative judgments in Bayesian Networks. Ieee T Knowl Data En  vol. 19, (10) 1420-1432. 10.1109/TKDE.2007.1068

Neil M, Tailor M and Marquez D (2007). Inference in hybrid Bayesian networks using dynamic discretization. Stat Comput  vol. 17, (3) 219-233. 10.1007/s11222-007-9018-y

Neil M, FENTON NE, Hearty P, Marquez D and Tailor M (2007). Modelling dependable systems using hybrid Bayesian networks. Reliability Engineering & System Safety  vol. 93, 1-19. 10.1016/j.ress.2007.03.009

Neil M, Fenton N and Marquez D (2007). Using Bayesian Networks and Simulation for Data Fusion and Risk Analysis. Nato Science For Peace and Security Series: Information and Communication Security , Editors: Skanata and Byrd DM. Ios Press, Nieuwe Hemweg 6b, 1013 Bg Amsterdam, The Netherlands 

Neil M, Tailor M and Marquez D (2007). Inference in hybrid Bayesian networks using dynamic discretization. Statistics and Computing  vol. 17, 219-233-219-233. 10.1007/s11222-007-9018-y

Fenton N, Neil M, Marsh W, Hearty P, Marquez D, Krause P and Mishra R (2007). Predicting software defects in varying development lifecycles using Bayesian nets. Inform Software Tech  vol. 49, (1) 32-43. 10.1016/j.infsof.2006.09.001

Khodakarami V, Fenton N and Neil M (2007). Project Scheduling: Improved approach to incorporate uncertainty using Bayesian Networks. Project Management Journal  vol. 38, 39-49. 10.1177/875697280703800205

Radli ski , Fenton NE, Marquez D and Hearty P (2007). Empirical Analysis of Software Defect Types. Information Systems Architecture and Technology: Information Technology and Web Engineering: Models, Concepts and Challenges (Pr  Oficyna Wydawnicza Politechniki Wroc?Awskiej, Wroc?Aw 

Radli ski , Fenton NE, Neil M and Marquez D (2007). Improved Decision-Making for Software Managers Using Bayesian Networks.

Fenton NE, Neil M and Gallan J (2007). Using Ranked nodes to model qualitative judgements in Bayesian Networks. Ieee Transactions On Knowledge and Data Engineering  vol. 19, 1420-1432-1420-1432.

Fenton NE and Neil M (2007). Managing Risk in the Modern World: Bayesian Networks and the Applications.

Radli ski , Fenton NE, Neil M and Marquez D (2007). Modelling Prior Productivity and Defect Rates in a Causal Model for Software Project Risk Assessment. Polish Journal of Environmental Studies  vol. 16, (4A) 256-260.

2006

Fenton N and Neil M (2006). Expert elicitation for reliable system design - Comment. Stat Sci  vol. 21, (4) 451-453. 10.1214/088342306000000510

Fenton N and Neil M (2006). Comment: Expert elicitation for reliable system design. Statistical Science  vol. 21, (4) 451-453. 10.1214/088342306000000529

Joseph A, Fenton NE and Neil M (2006). Predicting football results using Bayesian nets and other machine learning techniques. Knowl-Based Syst  vol. 19, (7) 544-553. 10.1016/j.knosys.2006.04.011

Neil M and FENTON NE (2006). AgenaRisk. Agena Ltd 

Fenton NE, Radlinski L and Neil M (2006). Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. Software Engineering Techniques: Design For Quality (Prceedings of Software Engineering Techniques 2006, Warsaw, Poland, 17-20 O , Editors: Sacha K. Springer, Boston  10.1007/978-0-387-39388-9_14

Neil M, FENTON NE, Krause P and Mishra R (2006). Bayesian networks for software process control. Ieee Transactions On Software Engineering 

Fenton NE and Neil M (2006). Expert Elicitation for Reliable System Design. Statistical Science  vol. 21, 451-453-451-453. 10.1214/088342306000000529

2005

Neil M, Fenton N and Tailor M (2005). Using Bayesian networks to model expected and unexpected operational losses. Risk Anal  vol. 25, (4) 963-972. 10.1111/j.1539-6924.2005.00641.x

Fenton NE and Neil M (2005). A Critique of Software Defect Prediction Models. Machine Learning Applications in Software Engineering , Editors: Zhang D and JJP T. World Scientific Publishing Co 

2004

Fenton NE and Neil M (2004). Combining evidence in risk analysis using Bayesian networks. Safety Critical Systems Newsletter  vol. 14, 8-13-8-13.

2003

Neil M and FENTON NE (2003). Improved Programme Selection.

Neil M, Fenton N, Forey S and Harris R (2003). Assessing Vehicle Reliability using Bayesian Networks. Global Vehicle Reliability , Editors: Strutt JE and Hall PL. Professional Engineering Publishing 

Neil M, FENTON NE and Krause P (2003). Software Quality Prediction Using Bayesian Networks. Software Engineering With Computational Intelligence. Khoshgoftaar, Tm (Ed)  Kluwer  10.1007/978-1-4615-0429-0_6

2002

Fenton N, Krause P and Neil M (2002). Software measurement: Uncertainty and causal modeling. Ieee Software  vol. 19, (4) 116-+. 10.1109/MS.2002.1020298

Fenton NE, Krause P and Neil M (2002). Probabilistic Modelling for Software Quality Control. Journal of Applied Non-Classical Logics  vol. 12, (2) 173-188. 10.3166/jancl.12.173-188

2001

Fenton N and Neil M (2001). Making decisions: using Bayesian nets and MCDA. Knowl-Based Syst  vol. 14, (7) 307-325. 10.1016/S0950-7051(00)00071-X

Neil M, Fenton N, Forey S and Harris R (2001). Using Bayesian belief networks to predict the reliability of military vehicles. Comput Control Eng J  vol. 12, (1) 11-20. 10.1049/cce:20010103

2000

Neil M, Fenton N and Nielsen L (2000). Building large-scale Bayesian networks. Knowl Eng Rev  vol. 15, (3) 257-284. 10.1017/S0269888900003039

Fenton NE and Neil M (2000). The Jury Fallacy and the use of Bayesian nets to simplify probabilistic legal arguments. Mathematics Today (Bulletin of The Ima)  vol. 36, (6) 180-187.

Fenton NE and Neil M (2000). Bayesian belief nets: a causal model for predicting defect rates and resource requirements. Software Testing and Quality Engineering  vol. 2, 48-53-48-53.

Littlewood B, Strigini L, Wright D, Fenton NE and Neil M (2000). Bayesian Belief Networks for Safety Assessment of Computer-based Systems. System Performance Evaluation Methodologies and Applications , Editors: Gelenbe E. Crc Press, Boca Raton 

Neil M, Fenton N and Nielsen L (2000). Building large-scale Bayesian Networks. The Knowledge Engineering Review, 15(3)  vol. 15, 257-284-257-284. 10.1017/S0269888900003039

1999

Fenton NE and Neil M (1999). Software metrics: successes, failures and new directions. Journal of Systems and Software  vol. 47, (2-3) 149-157. 10.1016/S0164-1212(99)00035-7

Fenton NE and Neil M (1999). A critique of software defect prediction models. Software Engineering, Ieee Transactions On  vol. 25, (5) 675-689. 10.1109/32.815326

1998

Fenton NE and Neil M (1998). A strategy for improving safety related software engineering standards. Software Engineering, Ieee Transactions On  vol. 24, (11) 1002-1013. 10.1109/32.730547

Fenton NE, Littlewood B, Neil M, Strigini L, Sutcliffe A and Wright D (1998). Assessing dependability of safety critical systems using diverse evidence. Iee Proceedings Software  vol. 145, 35-39-35-39. 10.1049/ip-sen:19984895

Courtois PJ, Fenton NE, Littlewood B, Neil M, Strigini L and Wright D (1998). Examination of bayesian belief network for safety assessment of nuclear computer-based systems.

Neil M, Ostralenk G, Tobin M and Southworth M (1998). Lessons from using Z to specify a software tool. Ieee Transactions On Software Engineering  vol. 24, 15-23-15-23. 10.1109/32.663995

1996

Littlewood B, Neil M and Ostrolenk G (1996). Uncertainty in Software-Intensive Systems. High Integrity Systems Journal  vol. 1, 407-413-407-413.

Littlewood B, Neil M and Ostrolenk G (1996). The Role of Models in Managing Uncertainty of Software-Intensive Systems. Reliability Engineering and System Safety  vol. 46, 87-95-87-95. 10.1016/0951-8320(95)00073-B

Neil M, Littlewood B and Fenton NE (1996). Applying Bayesian belief networks to systems dependability assessment. Safety-Critical Systems: The Convergence of High Tech and Human Factors; Proceedings of The 4th Safety Critical Systems Symposiu , Editors: Redmill F. Springer Verlag  10.1007/978-1-4471-1480-2_5

1995

Neil MD (1995). Statistical Control of Software Quality. McGraw Hill 

1994

Neil MD (1994). Measurement as an alternative to Bureaucracy for the achievement of Software Quality. Software Quality Journal  vol. 3, 65-78-65-78. 10.1007/BF00213631

Neil MD and Bache RM (1994). Metrics Analysis. McGraw Hill 

1993

Neil MD and Bache RM (1993). Data Linkage Maps. Journal For Software Maintenance: Research and Practice  vol. 5, 223-240-223-240.

Neil M and Bache R (1993). Data linkage maps. Journal of Software Maintenance: Research and Practice  vol. 5, (3) 155-164. 10.1002/smr.4360050304

1992

Neil MD (1992). Multivariate Assessment of Software Products. Journal of Software Testing, Verification and Reliability  vol. 1, 17-37-17-37.

1990

Bache RM and Neil M (1990). Validating Technologies for Certifying Software Products. Proceedings of Ifip Conference On Approving Software Products (Asp-90)  North-Holland 

Neil MD, Slater D and Cole RJ (1990). Measures for Maintenance Management: A Case Study. Journal For Software Maintenance: Research and Practice  vol. 2, 223-240-223-240. 10.1002/smr.4360020404

Grants

Grants of specific relevance to Applied Data Science

PAMBAYESIAN: PAtient Managed decision-support using Bayesian networks
Fenton NE, Collier DJ, Neil M, Patel A, Hitman GA, Humby FC, Huda MSB, Brown VT, Curzon P, Alomainy A, Morrissey D and Marsh W
£1,538,497 Engineering and Physical Sciences Research Council (30-06-2017 - 31-12-2020)

Summary