Our longer term objective is inspired by the fortuitious meeting of Montgomery and Dyson over tea at Princeton that led to the remarkable connection between the RiemannZeta hypothesis and random matrix theory. If the past is any indicator of the future, then it seems as though every time a new scientific or engineering community has "rediscovered" random matrices, then a whole new set of applications and possibilities seems to open up.
We are delighted to have nonspecialists attend the workshop and have hence requested the speakers to make the material accessible to a broader audience composed of scientists, mathematicians and engineers. Please feel free to drop an email to the workshop organizers if you plan to attend the workshop.
A highlight of this conference is a focus on signal processing and statistical applications. These talks will be held in the first two days of the workshop.
Some of the theory and applications that will be showcased in this workshop are listed below.
Theory 
Applications 
Free Probability 
Array and Signal Processing 
Eigenvalue Fluctuations 
Principal Component Analysis 
Orthogonal Polynomials 
Krylov Subspace Methods 
Large Random Matrix Theory 
Multivariate Statistics 
Random Walks 
Network and queuing theory 
Universality Phenomenon 
Multivariate Statistics 
Statistics on Manifolds 
Signal Processing 
Stochastic Operator Theory 
Multiuser Detection 
Multivariate Orthogonal Polynomials 
Multivariate Statistics 
Statistical EigenInference 
Econometrics and Finance 
Random Graphs 
Biological Networks 
