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Random Matrices and Applications Research Faculty | GradNova

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Random Matrices and Applications

Random Matrices and Applications

6 faculty research Random Matrices and Applications on GradNova.

A

Aukosh Jagannath

Assistant Professor, Statistics and Actuarial Science

David R. Cheriton School of Computer Science

University of Waterloo

Complexity and Algorithms in Graphs

Markov Chains and Monte Carlo Methods

Random Matrices and Applications

Stochastic Processes and Statistical Mechanics

+1

V

Venkatesan Guruswami

Professor

Computer Science

University of California, Berkeley

Information, Data, Network, and Communication Sciences (idncs)

Spectral Theory in Mathematical Physics

Quantum Chaos and Dynamical Systems

+1

S

Assistant Professor

Computer Science

Portland State University

Complexity and Algorithms in Graphs

Limits and Structures in Graph Theory

Markov Chains and Monte Carlo Methods

Random Matrices and Applications

+1

Z

Assistant Professor

College of Computing

Georgia Institute of Technology

Advanced Graph Theory Research

Constraint Satisfaction and Optimization

Markov Chains and Monte Carlo Methods

Random Matrices and Applications

+1

G

Lecturer

College of Computing

Georgia Institute of Technology

Complex Network Analysis Techniques

Graph Theory and Applications

Markov Chains and Monte Carlo Methods

Random Matrices and Applications

+1

A

Associate Professor with Tenure

Computer Science

Carnegie Mellon University

Markov Chains and Monte Carlo Methods

Probability and Risk Models

Random Matrices and Applications