Explore
Clinical Diagnostic Parasitology Laboratory
MyLSTM
Public Engagement
Menu

Dr Jeff Jones

Research Assistant

I come from a biological science and computer science background. My undergraduate degree was biology with computer science. My PhD was on the topic of modelling the behaviour of true slime mould Physarum polycephalum for the purposes of non-classical computation. I have worked as a Leverhulme Trust Fellow on collective amorphous robotics. This involved using emergent behaviour to provide locomotion and sensory abilities for collective amoeboid robots. I recently worked as a Senior Research Fellow on the EU FP7 Phychip project to hybridise slime mould with classical and novel electronics devices. My role involved designing physically inspired collective computational methods, and novel non-neural approaches to low-level vision and primitive learning. I have Authored approximately 50 papers, 6 book chapters and one monograph. I am Also interested in dynamical pattern formation, cellular regeneration and modelling low-level vision.

My research at LSTM involves modelling the flight behaviour of mosquitoes and their interaction with human hosts, their attractant profiles, and insecticide treated bed nets. The aim is to develop computational approaches which may enhance the speed of development of vector control tools.

Further relevant expertise

Java Programming

C# programming

Multi-agent modelling

Cellular Automata

Evolutionary Computation

Image Processing / Analysis

Data Visualisation

Computational Pattern Formation

Selected publications

  • Selected publications

    Jones, J., Parker, J.E., Angarita Jaimes, N., Kroner, C., Voloshin, V., Towers, C.E., Towers, D.E., McCall, P.J., Murray, G.P. InFliTE: a behavioral simulation package for the rapid evaluation of LLINs, chemistries and other vector control tools, ASTMH 17, Baltimore, USA, 2017.

    Jones, J. (2015) From Pattern Formation to Material Computation, Springer, Heidelberg.

    Jones, J. (2016) Embodied Approximation of the Density Classification Problem via Morphological Adaptation, Int. J. Unconventional Computing, in-press.

    Mayne, R., Jones, J., Gale, E. and Adamatzky, A. (2016) On coupled oscillator dynamics and incident behaviour patterns in slime mould PHYSARUM POL-YCEPHALUM: emergence of wave packets, global streaming clock frequencies and anticipation of periodic stimuli, INT. J. OF PARALLEL, EMERGENT AND DISTRIBUTED SYSTEMS, DOI: 10.1080/17445760.2016.1156108.

    Whiting, J.G.H., Jones, J., Bull, L., Levin, M. and Adamatzky, A. (2016) , To-wards a PHYSARUM learning chip, Scientific Reports, 6, p. 19948.

    Jones, J. (2015) On Hybrid Classical and Unconventional Computing for Guid-ing Collective Movement, in press.

    Jones, J. (2015) Multi-Agent Slime Mould Computing: Mechanisms, Applica-tions and Advances, in-press.

    Jones, J. (2015) Towards Collective Visual Perception in a Multi-agent Model of Slime Mould, in-press.

    Baumgarten, W., Jones, J. and Hauser, M.J.B. (2015) Network Coarsening Dy-namics in a Plasmodial Slime Mould: Modelling and Experiments, Acta Physica Polonica B, (46), 6, 1201-1218..

    Jones, J., Whiting, J.G.H., and Adamatzky, A. (2015) Quantitative Transfor-mation for Implementation of Adder Circuits in Physical Systems, Biosystems, 134, p. 16-23.

    Jones, J., Mayne, R., and Adamatzky, A. (2015) Representation of Shape Medi-ated by Environmental Stimuli in Physarum polycephalum and a Multi-agent Model, Int. J. of Parallel, Emergent and Distributed Systems, DOI: 10.1080/17445760.2015.1044005.

    Jones, J. (2015) Towards Lateral Inhibition and Collective Perception in Unor-ganised Non-Neural Systems, In: Computational Intelligence, Medicine and Bi-ology, Eds. Pancerz, K., Zaitseva, E., p. 103-122.

    Jones, J. (2015). Multi-agent model of slime mould for computing and robotics. Atlas of Physarum Computing. Edited by Adamatzky, A. Published by World Scientific Publishing Co. Pte. Ltd., 2015. ISBN# 9789814675321, pp. 35-46,.

    Jones, J, and Adamatzky, A. (2015) Approximation of Statistical Analysis and Estimation by Morphological Adaptation in a Model of Slime Mould, Int. Jour-nal of Unconventional Computing, (11), 1. p 37-62.

    Jones, J. (2015) Mechanisms Inducing Parallel Computation in a Model of Physarum polycephalum Transport Networks, Parallel Processing Letters, (25), 1, 1540004, DOI: 10.1142/S0129626415400046.

    Adamatzky, A. and Jones, J. (2015) On using compressibility to detect when slime mould completed computation, Complexity, DOI: 10.1002/cplx.21645.

    Jones, J. (2015) A Morphological Adaptation Approach to Path Planning In-spired by Slime Mould, Int J. General Systems, (44), 3, p 279-291.

    Jones, J. (2014) Material-based Non-neural Analogues of Lateral Inhibition: A Multi-agent Approach, proceedings of Adaptive Materials, Devices and Systems Towards Unconventional Computing and Robotics: Modeling and Implementa-tion, 26-27th September, Rhodes, Greece.

    Jones, J. (2014) Exploiting Environmental Computation in a Multi-Agent Model of Slime Mould, proceedings of ABBII International Symposium on Artificial, Biological and Bio-Inspired Intelligence, 27-28th September, Rhodes, Greece.

    Mayne, R., Adamatzky, A. I., and Jones, J. (2014) On the role of the plasmodial cytoskeleton in facilitating intelligent behaviour in slime mould Physarum poly-cephalum, Communicative & Integrative Biology, 7(1), e32097.

    Jones, J. and Adamatzky, A. (2014) Material Approximation of Data Smoothing and Spline Curves Inspired by Slime Mould, Bioinspiration and Biomimetics, 9, (3), 036013.

    Jones, J. (2014) A virtual material approach to morphological computation. In: Hauser, H., Füchslin, R. and Pfeiffer, R., eds. (2014) Opinions and Outlooks on Morphological Computation. University of Zurich.

    Jones, J. and Adamatzky, A. (2014) Computation of the Travelling Salesman Problem by a Shrinking Blob, Natural Computing, (13), 1, p. 1-16.

    Adamatzky, A., Armstrong, R., Jones, J., & Gunji, Y. P. (2013). On creativity of slime mould, International Journal of General Systems, 42, (5), 441-457.

    Jones, J. and Adamatzky, A. (2013) Slime Mould Inspired Generalised Voronoi Diagrams with Repulsive Fields, Int. Journal of Bifurcation and Chaos, In-press.

    Adamatzky, A., Akl, S., Alonso-Sanz, R., van Dessel, W., Ibrahim, Z., Ila-chinski, A., Jones, J., Kayem, A., Martinez, G.J, de Oliveira, P., Prokopenko, M., Schubert, T., Sloot, P., Strano, E., and Yang, X. (2012) Are motorways ra-tional from slime mould's point of view?, Int. J. of Parallel, Emergent and Dis-tributed Systems, 28 (3), p.230-248.

    Tsuda, S., Jones J. and Adamatzky, A. (2012) Towards Physarum engines, Ap-plied Bionics and Biomechanics, March 2012, DOI - 10.3233/ABB-2012-0059.

    Jones, J. and Adamatzky, A. (2012) Emergence of self-organized amoeboid movement in a multi-agent approximation of Physarum polycephalum, Bioinspi-ration and Biomimetics, (7), 1, doi: 10.1088/1748-3182/7/1/016009

    Jones, J. (2011) Towards Programmable Smart Materials: Dynamical Reconfig-uration of Emergent Transport Networks, Int. Journal of Unconventional Com-puting, (7), 6, p. 423-447.

    Tsuda, S., Jones, J., Adamatzky A. and Mills, J.(2011) Routing Physarum with electrical flow/current, IJNMC, (3), 2, p. 56-70.
    Jones, J. (2011) Influences on the Formation and Evolution of Physarum poly-cephalum Inspired Emergent Transport Networks, Natural Computing, (10), 4, p. 1345-1369.

    Adamatzky, A. and Jones J. (2011) On electrical correlates of Physarum poly-cephalum spatial activity: Can we see Physarum Machine in the dark?, Biophysi-cal Reviews and Letters, (6), 1&2, p. 29-57.

    Strano, E., Adamatzky, A. and Jones, J. (2011) Physarum Itinerae: Evolution of Roman Roads with Slime Mould, IJNMC, (3), 2, p. 31-55.
    Jones, J., Tsuda, S. and Adamatzky, A. (2011) Towards Physarum Robots, In: Bio-Inspired Self-Organizing Robotic Systems, Studies in Computational Intelli-gence series, Eds. Meng, Y. and Jin, Y., Vol 355/2011, p. 215-251, Springer-Verlag.

    Miranda, E., Adamatzky, A. and Jones, J. (2011) Sounds Synthesis with Slime Mould of Physarum Polycephalum, Journal of Bionic Engineering, (8), 2, p. 107-113.

    Tsuda, S. and Jones, J.(2011) The Emergence of Synchronization Behavior in Physarum polycephalum and its Particle Approximation, Biosystems, (103), 3, p. 331-341.

    Tsuda, S. and Jones, J. (2010) The Emergence of Complex Oscillatory Behav-iour in Physarum polycephalum and its Particle Approximation, Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, AlifeXII, Odense, Denmark, 2010, p. 698-705.

    Jones, J. (2010) Characteristics of Pattern Formation and Evolution in Approxi-mations of Physarum Transport Networks, Artificial Life, (16), 2, p127-153.

    Jones, J. and Adamatzky, A. (2010) Towards Physarum Binary Adders, Biosys-tems, (101), 1, p. 51-58.

    Adamatzky, A. and Jones, J. (2010) Road planning with slime mould: If Physarum built motorways it would route M6/M74 through Newcastle, Int. Journal of Bifurcation and Chaos, (20), 10, p. 3065-3084.

    Jones, J.(2010) The Emergence and Dynamical Evolution of Complex Transport Networks from Simple Low-Level Behaviours, Int. Journal of Unconventional Computing, (6), 2, p. 125-144, 2010.

    Adamatzky, A. and Jones, J. (2010) Programmable Reconfiguration of Physarum Machines, Natural Computing, (9), 1, p. 219-237.
    Jones, J. (2009) Approximating the Behaviours of Physarum polycephalum for the Construction and Minimisation of Synthetic Transport Networks, Unconven-tional Computation 2009, LNCS 5715, Springer, p. 191-208.

    Jones, J. (2009) Passive vs Active Approaches in Particle Approximations of Reaction-Diffusion Computing, Int. Journal of Nanotechnology and Molecular Computation, (1), 3, p. 37-63.

    Adamatzky, A. and Jones, J. (2008) Towards Physarum robots: computing and manipulating on water surface, Journal of Bionic Engineering, (5), 4, p. 348-357.

    Jones, J. (2008) An Emergent Pattern Formation Approach to Dynamic Spatial Problems via Quantitative Front Propagation and Particle Chemotaxis, Int. Jour-nal of Unconventional Computing, (4), 4, p. 341-374, 2008.