CTJ Dodson: Research interests Erdös number 3 Einstein number 4 Google Scholar citations
Differential geometry: Global differential geometry of manifolds; spaces of connections; universal connections; Banach and Frechet manifolds and bundles; harmonic lifts and maps. Applications: pseudo-Riemannian geometry and general relativistic cosmology; information geometry, information topology---neighbourhoods of randomness, uniformity, and independence. Books, Conference Proceedings [CTJ Dodson Amazon Author Page]
Stochastic geometry: Characterization of stochastic processes; near-random states; inhomogeneous evolution. Applications: Stochastic porous media, transport properties, inhomogeneous biological processes.

Recent papers/preprints

I Differential geometry papers

II Stochastic geometry papers

C.T.J. Dodson and W.W. Sampson. Information geometry and dimensionality reduction for statistical structural features of paper. In Proc. 15th Fundamental Research Symposium, Cambridge, 8-13 September 2013, ISBN .
C.T.J. Dodson and W.W. Sampson. Structural invariance of stochastic fibrous networks. In Proc. 14th Fundamental Research Symposium, Oxford, 13-18 September 2009, ISBN 97809545272 66 pp 665-691.
C.T.J. Dodson and W.W. Sampson. Intrinsic correlation in planar Poisson line processes. App. Math. Lett. 22 (2009) 981-983.
C.T.J. Dodson and W.W. Sampson. Planar line processes for void and density statistics in thin stochastic fibre networks. J. Statist. Phys. 129 (2007) 311-322.
C.T.J. Dodson and W.W. Sampson. Effect of correlated free fibre lengths on pore size distribution in fibrous mats. In Proc. 13th Fundamental Research Symposium, Cambridge, 11-16 September 2005, Pulp & Paper Fundamental Research Society, 2005, pp 943-960.
C.T.J. Dodson, A.G. Handley, Y. Oba and W.W. Sampson. The pore radius distribution in paper. Part I: The effect of formation and grammage. Appita J. 56, 4 (2003) 275-280.
C.T.J. Dodson. On random sequence spacing distributions.
J. Scharcanski, C.T.J. Dodson and R. T.Clarke. Simulating Effects of Fiber Crimp, Flocculation, Density and Orientation on Structure Statistics of Stochastic Fiber Networks. Simulation 78, 6 (2002) 389-395.
C.T.J. Dodson, Y. Oba and W.W. Sampson. Bivariate normal thickness-density structure in real near-planar stochastic fibre networks. J. Statist. Phys. 102, 1,2, (2001) 345-353.
C.T.J. Dodson. On the distribution of pore heights in layered random fibre networks. In Proc. 12th Fundamental Research Symposium, Oxford, 17-21 September 2001, Pulp & Paper Fundamental Research Society, 2001, pp 1037-1042.
B. Canvel and C.T.J. Dodson. Public Key Cryptosystem Timing Analysis. Rump Session, CRYPTO 2000, Santa Barbara, 20-24 August 2000.
C.T.J. Dodson and W.W. Sampson. Stochastic Flow Simulator Demonstration
C.T.J. Dodson and W.W. Sampson. Flow simulation in stochastic porous media . Simulation, 74:6, (2000) 351-358.
T. Boxer, C.T.J. Dodson and W.W. Sampson. Analytic solution to the Martinez dewatering equations for roll-gap formers. J. Pulp Paper Sc. 26, 11 (2000) 391-394.
C.T.J. Dodson, Y. Oba and W.W. Sampson. On the distributions of mass, thickness and density of paper. Appita J. 54, 4 (2001) 385-389.
A. Kallmes, J. Scharcanski and C.T.J. Dodson. Uniformity and anisotropy in nonwoven fibrous materials. International Nonwovens Technical Conference 2000. 26-28 September, Dallas.
J. Scharcanski and C.T.J. Dodson. Simulating Colloidal Thickening: Virtual Papermaking. Simulation 74:4 (2000) 200-206.
J. Scharcanski and C.T.J. Dodson. Stochastic texture image estimators for local spatial anisotropy and its variability. IEEE Transactions on Instrumentation and Measurement 49, 5 (2000) 971-979.
C.T.J. Dodson and W.W. Sampson. Spatial statistics of stochastic fibre networks. J. Statist. Phys 96, 1/2 (1999) 447-458.
M.M. Nazhad, E.J. Harris, C.T.J. Dodson and R.J. Kerekes. The influence of formation on tensile strength of papers made from mechanical pulps Tappi J. 83 (12) (2000) 63.
J. Scharcanski and C.T.J. Dodson. Monitoring the quality of non-woven textiles using stochastic texture discrimination. International Federation of Automatic Control, Intelligent Manufacturing Systems 1998. 9-12 November, Gromado, Brazil.
T. Boxer, C.T.J. Dodson and N. Errington. Compression of fibre networks by ultracentrifugation. In Proceedings International Paper Physics Conference San Diego, 27-30 September 1999.
A. Raghem-Moayed and C.T.J. Dodson. Modeling stochastic fibre clumps. App. Math. Lett. 12, 2 (1999) 7-11.
J. Scharcanski and C.T.J. Dodson. Local Spatial Anisotropy and its Variability. J. Pulp Paper Sc. 25, 11 (1999) 393-397.
J. Scharcanski and C.T.J. Dodson. Modeling and Simulation of Planar Fibre Processes. In Proceedings of Conference On Simulation Methods and Applications CSMA98, Orlando, Florida, November 1-3, 1998, pp 143-150.
C.T.J. Dodson and R.J. Kerekes. On the structure of fibre flocs. Presented at the COST Meeting on Multi-Phase Flows in Papermaking, Grenoble 11-13 May 1997. Preprint 145k.
C.T.J. Dodson and W.W. Sampson. Modeling a class of stochastic porous media. App. Math. Lett. 10, 2 (1997) 87-89.
J. Scharcanski and C.T.J. Dodson. Texture image analysis for paper anisotropy and its variability. Appita J. 4, (1996) 100-104.
J. Scharcanski and C.T.J. Dodson. Neural network model for paper-forming process. IEEE Trans. Ind. Appl. 33, 3 (1997) 826-839.
J. Scharcanski and C.T.J. Dodson. Texture analysis for estimating spatial variability and anisotropy in planar stochastic structures. Optical Engineering 35, 8 (1996) 2302-2309.
C.T.J. Dodson. Fibre crowding, fibre contacts and fibre flocculation. Tappi J. 79, 9 (1996) 211-216.
C.T.J. Dodson and W.W. Sampson. The effect of paper formation and grammage on its pore size distribution . J. Pulp Paper Science, 22, 5 (1996) 165-169.
L. Wong, M.T. Kortschot and C.T.J. Dodson. Effect of formation on local strain fields and fracture of paper. J. Pulp Paper Sc. 22, 6 (1996) 213-219.
R.R. Farnood, C.T.J. Dodson and S.R. Loewen. Modelling flocculation: I. Random disk model. J. Pulp Paper Sc. 21, 10 (1995) 348-356.

Next: I Differential geometry: Recent papers/preprints