I am currently a Lecturer in the Department of Statistics and Actuarial Science at the University of Waterloo.
Neural action potentials are often called spikes because they tend to be strongly localized in time. A sequence of such spikes from a single neuron is called a spike train. The focus of my research is the multiscale and multivariate analysis of neural spike trains. I am interested in developing probabilistic models in the framework of point processes for such data. Skellam Process with Resetting (SPR), which I have developed in both single and multiple neuron cases, is an example of such stochastic processes. The "multiscale" part of my research focuses on developing methods which are computationally fast and are also capable of simultaneous modelling of neural phenomena from different time scales.
I am also interested in applications of Fuzzy Set Theory in probability and statistics.
Department of Statistics and Actuarial Science
University of Waterloo
200 University Avenue W.
Waterloo, ON N2L 3G1
Office: M3 3018
Phone: 519-888-4567 Ext. 39358
Email: rramezan (at) uwaterloo.ca