# Program

**Plenary Speakers**

**LAA Early Career Speakers**

**Mini-Symposia**

**Contributed Talks** (Schedule)

PDFs: **Two-page Schedule** /
**Program** /
**Abstracts**

## Plenary Speakers for ILAS 2017: Connections

**Rajendra Bhatia**, Indian Statistical Institute, Hans Schneider Prize Speaker, * Another metric, another mean*

**Hal Caswell**, University of Amsterdam, *Matrix population models: Connecting individuals and populations*

**Chris Godsil**, University of Waterloo, *Graph invariants from quantum walks*

**Stefan Güttel**, The University of Manchester, SIAG-LA Lecturer, *The Nonlinear Eigenvalue Problem*

**Willem Haemers**,Tilburg University, *Spectral characterizations of graphs*

**Tamara G. Kolda**, Sandia National Laboratories, *Tensor Decomposition: A Mathematical Tool for Data Analysis and Compression*

**Miklós Pálfia**, Sungkyunkwan University and MTA-DE "Lendület" Functional Analysis Research Group, Taussky-Todd Lecturer, *On the recent advances in the multivariable theory of operator monotone functions and means*

**Vern Paulsen**, University of Waterloo, *Quantum Chromatic Numbers*

**Helena Šmigoc**, University College Dublin, LAMA Lecturer, *From positive matrices to negative polynomial coefficients*

**Raf Vandebril**, KU Leuven, ILAS 30th Anniversary LAA Lecturer, *Fast and Stable Roots of Polynomials via Companion Matrices*

**Van Vu**, Yale University, *Perturbation with random noise*

**Rachel Ward**, University of Texas, *Learning dynamical systems from highly corrupted measurements*

## LAA Early Career Speakers

**Mahya Ghandehari**, University of Delaware, in mini-symposium *MS-16 Linear Algebra and Positivity with Applications to Data Science (Positivity with Applications)*

** Nathaniel Johnston**, Mount Allison University, in mini-symposium *MS-17 Linear Algebra and Quantum Information Science (Quantum Information Science) *

**Andrii Dmytryshyn**, Umeå University, in mini-symposium *MS-11 Matrix Polynomials*

**Thomas Mach**, Nazarbayev University, in mini-symposium *MS-8 Krylov and filtering methods for eigenvalue problems (Krylov & filtering for eigenvalues)*

**Gabriel Coutinho**, Universidade Federal de Minas Gerais, in mini-symposium *MS-21 Spectral Graph Theory*

## Mini-Symposia

** MS-1 Linear Algebra Aspects of Association Schemes (Association Schemes)**: Allen Herman and Bangteng Xu

**MS-2 Combinatorial Matrix Theory**: Minerva Catral and Louis Deaett

**MS-3 Compressed sensing and matrix completion (Compressed Sensing)**: Simon Foucart and Namrata Vaswani

**MS-4 Distance problems in linear algebra, dynamical systems and control (Distance & Dynamical Systems)**: Elias Jarlebring and Wim Michiels

** MS-5 Distances on networks and its applications (Distances on Networks)**: Angeles Carmona, Andres M. Encinas, and Margarida Mitjana

**MS-6 Linear Algebra Education (Education)**: Rachel Quinlan and Megan Wawro

**MS-7 Linear Algebra and Geometry (Geometry)**: Gabriel Larotonda and Alejandro Varela

**MS-8 Krylov and filtering methods for eigenvalue problems (Krylov & filtering for eigenvalues)**: Jared Aurentz and Karl Meerbergen

**MS-9 Linear Algebra and Mathematical Biology (Mathematical Biology)**: Julien Arino and Natalia Komarova

**MS-10 Matrix Analysis: Inequalities, Means, and Majorization (Matrix Inequalities)**: Fumio Hiai and Yongdo Lim

**MS-11 Matrix Polynomials**: Froilán Dopico and Paul Van Dooren

**MS-12 The Nonnegative Inverse Eigenvalue Problem (Nonnegative Inverse Eigenvalue)**: Charles R. Johnson and Pietro Paparella

**MS-13 Recent Advancements in Numerical Methods for Eigenvalue Computation (Numerical Eigenvalue Methods)**: James Vogel, Xin Ye, and Jianlin Xia

**MS-14 Numerical Ranges**: Patrick X. Rault and Ilya Spitkovsky

**MS-15 Matrix techniques in operator algebra theory (Operator Algebra)**: Vern Paulsen and Hugo Woerdeman

**MS-16 Linear Algebra and Positivity with Applications to Data Science (Positivity with Applications)**: Dominique Guillot, Apoorva Khare, and Bala Rajaratnam

**MS-17 Linear Algebra and Quantum Information Science (Quantum Information Science)**: Chi-Kwong Li, Yiu Tung Poon, and Raymond Nung-Sing Sze

**MS-18 Random matrix theory for networks (Random Matrix Theory)**: Dustin Mixon and Rachel Ward

**MS-19 Representation Theory**: Jonas Hartwig

**MS-20 Solving Matrix Equations**: Qing-Wen Wang and Yang Zhang

**MS-21 Spectral Graph Theory**: Nair Abreu and Leonardo de Lima

**MS-22 Matrices, Tensors and Manifold Optimization (Tensors and Manifolds)**: Daniel Kressner and Bart Vandereycken

** MS-23 Toeplitz Matrices and Riemann Hilbert Problems (Toeplitz Matrices and RH )**: Jani Virtanen and György Pal Gehér

**MS-24 Zero Forcing: Its Variations and Applications (Zero Forcing)**: Daniela Ferrero, Mary Flagg, and Michael Young