This research is on analytical methods to find Mean First Passage Time (MFPT) on non-homogenous media. The importance of First encounter properties of random propagation scenarios ranging from disaster propagation through disease propagation to the propagation of gossip makes an accurate estimation of MFPT crucial. The main aim of this research is understanding ways to simplify a given non-homogenous medium, trying to identify and cluster homogeneous portions into primitives.
- I. H. Wijesundera, M. N. Halgamuge, T. Nirmalathas and T. Nanayakkara, “A Geographic Primitive Based Bayesian Framework to Predict Cyclone Induced Flooding“, Journal of Hydrometeorology, Volume 14, Issue 2, pp 505-523, April 2013.
- I. H. Wijesundera, M. N. Halgamuge, T. Nirmalathas and T. Nanayakkara, “A Computationally Efficient Framework for Stochastic Prediction of Flood Propagation“, IEEE 6th International Conference on Information and Automation for Sustainability, pp 25-29, Beijing, China, 27-29 September 2012.