Akio Nakatani is a Professor of Applied Mathematics and Statistics. His research interests include Stochastic Systems, Parameter Estimation, Stochastic Optimization, Monte Carlo Methods and Simulation, Neural Networks, Statistical Pattern Recognition, Statistical Image Analysis, Time Series, Graphical Models, Nonparametric Bayes and Bayesian Hierarchical Models.