Jonathan Nuttall

Expert on Data Science and Numerical Modelling
+31(0)62 119 4024
Jonathan.Nuttall@deltares.nl LinkedIn profileDr Jonathan Nuttall has a PhD in Geotechnical Engineering, Numerical Modelling, Data Science, HPC and Software Development. During his PhD he developed a High-Performance Computing (HPC) framework for the Random Finite Element Method (RFEM), in his thesis entitled “Parallel Implementation and Application of the Random Finite Element Method”.
At Deltares he is the lead of the Data Science pillar within the Enabling Technologies initiative, providing research, guidance and education in the fields of Data Science and Machine Learning. Introducing new and disruptive techniques into the Deltares work flows and research. His central research focuses on the area of Physics based Machine Learning techniques and the development of Machine Learned tools for stakeholder decision making.
Jonathan was also a former member of the Deltares Young Science Council which advised the Board of Directors on innovation in science and technology. He also has active collaborations with TUDelft, Rijkswaterstaat, and the University of Leeds in the fields of Machine Learning and Artificial Intelligence, while he is an active member of the Anura3D MPM community (http://www.anura3d.com/), developing the Material Point Method for Geotechnical Applications and is lead developer for the Geolib+ project, developing innovative open source tools for use with the Geolib library, providing pre and post processing tooling for use with Deltares D-Series products, and other Geotechnical tools.
Working experience
2014 – Present | Deltares | Senior Researcher and Consultant Numerical Simulation Software Deltares Software Centre |
2013 – 2014 | Plaxis | Software Developer |
2010 – 2013 | TUDelft | Post Doctoral Research Fellow Geo-Engineering Geoscience and Engineering |
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Implementation and Application of the Random Finite Element Method.
Nuttall, JD. Parallel Implementation and Application of the Random Finite Element Method. PhD Thesis, University of Manchester, Manchester; 2011.
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Daily runoff forecasting by deep recursive neural network
Zhang J, Chen X, Khan A, Zhang Y, Kuang X, Liang X, Taccari ML, Nuttall JD. Daily runoff forecasting by deep recursive neural network. Manuscript submitted for publication. (2020)
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Comparative analyses of slope reliability in 3D
Yajun L, Hicks MA, Nuttall JD. Comparative analyses of slope reliability in 3D. Engineering Geology, Sept 2015.
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Influence of heterogeneity on 3D slope reliability and failure consequence Computers and Geotechnics
Hicks MA, Nuttall JD, Chen J. Influence of heterogeneity on 3D slope reliability and failure consequence Computers and Geotechnics, September 2014 (Vol. 61)
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Estimation of horizontal and vertical scales of fluctuation from CPT Data using Neural Networks and Random Fields
Nuttall JD. Estimation of horizontal and vertical scales of fluctuation from CPT Data using Neural Networks and Random Fields, “7 th International Symposium on Geotechnical Safety and Risk (ISGSR 2019)”, Taipei, Taiwan, (December 2019)
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Site spatial correlation estimation from CPT data using neural networks and random fields
Nuttall JD. Site spatial correlation estimation from CPT data using neural networks and random fields, “XVII European Conference on Soil Mechanics and Geotechnical Engineering (ECSMGE2019)”, Reykjavik, Iceland, (September 2019)
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Estimating spatial correlations from CPT data using neural networks and random fields
Nuttall JD. Estimating spatial correlations from CPT data using neural networks and random fields, “NUMGE2018 - the proceedings of the 9th European Conference on Numerical Methods in Geotechnical Engineering”, Porto, Portugal, (June 2018)
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Assessment of dike safety within the framework of large deformation analysis with the material point method
Zuada Coelho B, Rohe A, Aboufirass A, Nuttall JD, Bolognin M. Assessment of dike safety within the framework of large deformation analysis with the material point method, “NUMGE2018 - the proceedings of the 9th European Conference on Numerical Methods in Geotechnical Engineering”, Porto, Portugal, (June 2018)
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Uncertainty assessment of a dike with an anchored sheet pile wall using FEM
Rippi A, Nuttall JD, Texeira A, Schweckendiek. Uncertainty assessment of a dike with an anchored sheet pile wall using FEM, “FLOODrisk 2016 – 3rd European Conference on Flood Risk Management (E3S Web Conf.)”, Lyon, France, (October 2016)
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Reliability Analysis of a Dike with Retaining Wall using FE
• Rippi A, Nuttall JD, Texeira A, Schweckendiek. Reliability Analysis of a Dike with Retaining Wall using FE, “Proc 6th Asian-Pacific Symposium on Structural Reliability and its Applications (APSSRA’6)”, Shanghai, China. (May 2016)
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Probabilistic analysis of a benchmark problem for slope stability in 3D
Li Y, Hicks MA, Nuttall JD. Probabilistic analysis of a benchmark problem for slope stability in 3D. In S Pietruszczak & GN Pande (Eds.), International symposium geomechanics (pp. 641-648). Rhodes: IC2E, 2013
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Fracture growth in heterogeneous geomaterials
Vardon PJ, Nuttall JD. Fracture growth in heterogeneous geomaterials, “Proc. International Conference on Installation Effects in Geotechnical Engineering", Rotterdam, the Netherlands; 2013
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Investigating the scales of fluctuation of an artificial sand island
Lloret-Cabot M, Hicks MA, Nuttall JD. Investigating the scales of fluctuation of an artificial sand island, “Proc. International Conference on Installation Effects in Geotechnical Engineering", Rotterdam, the Netherlands; 2013
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Influence of soil heterogeneity on geotechnical performance and uncertainty: a stochastic view on EC7
Hicks MA, Nuttall JD. Influence of soil heterogeneity on geotechnical performance and uncertainty: a stochastic view on EC7, “Proc. 10th International Probabilistic Workshop”, Stuttgart, Germany; 2012. p. 215–28.
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Stochastic and finite element modelling of 3D heterogeneity in geoengineering.
Hicks MA, Nuttall JD, Spencer WA. Stochastic and finite element modelling of 3D heterogeneity in geoengineering. In: Proceedings of ECCOMAS thematic conf heterogeneous materials with applications in construction and biomedical engineering, Prague; 2007. p. 236–7.
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Dike Embankment Analysis
Zuada Coelho B, Nuttall JD. Dike Embankment Analysis, “The Material Point Method for Geotechnical Engineering: A Practical Guide”, Fern J, Rohe A, Soga K, Alonso E (Eds), CRC Press (2019)
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Stochastic Approach to Slope Stability Analysis with In-Situ Data
Nuttall JD, Hicks MA, Lloret M. Stochastic Approach to Slope Stability Analysis with In-Situ Data, “Industrial Safety and Life Cycle Engineering”, Wenzel H (ed.), VCE Vienna Consulting Engineers ZT GmBH, Vienna, (2013)
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Failure mechanisms – Macro Stability kernel
Brinkman R, Nuttall, JD. Failure mechanisms – Macro Stability kernel; Scientific Background, Deltares, Delft, The Netherlands, 11201523-001-HYE-001 (2018)
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Project software macro stability
Brinkman R, Nuttall JD, Noordam AF, Teixeira A. Project software macro stability: User manual 2018, Part 3: Scientific Background, Deltares, the Netherlands (2018)
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Integrated European Industrial Risk Reduction System (IRIS)
Hicks MA, Nuttall JD. Integrated European Industrial Risk Reduction System (IRIS) - Final Partner report, EU IRIS Project (2012)
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PLAXIS Implementation of the First Order Reliability Method
Nuttall JD, Hicks MA., Arnold P. PLAXIS Implementation of the First Order Reliability Method, PLAXIS bv. (2012)
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Research Study - Expected SPP1 Sludge Properties
Nuttall JD, Hicks MA. Research Study - Expected SPP1 Sludge Properties, Sellafield Ltd (2010) Manuals
Activities
2015 – 2018 | Member | Deltares Young Science Council |