Plenary Speakers
Aida Abiad, Eindhoven University of Technology, The Netherlands
Sherry Li, Lawrence Berkeley National Laboratory, USA
Jephian C.-H. Lin, National Sun Yat-sen University, Taiwan
LAMA Lecture
Arvind K. Saibaba, North Carolina State University, USA
Hugo Woerdeman, Drexel University, USA
Chi-Kwong Li, College of William and Mary, USA
Hans Schneider Prize Lecture
Sirani Perera, Embry-Riddle Aeronautical University, USA
ILAS Olga Taussky and John Todd Prize Lecture
John Urschel, MIT, USA
ILAS Richard A. Brualdi Early Career Prize Lecture
Haim Avron, Tel Aviv University, Israel
SIAG/LA 2025 Lecture
Julianne Chung, Emory University, USA
SIAG/LA 2026 Lecture
Minisymposia Sessions
| Conference Code | Title | Organizers |
|---|---|---|
| MS 01 | Numerical Linear Algebra in Machine Learning | Xinye Chen, EL-Mehdi El Arar |
| MS 02 | New Directions and Challenges in Linear Algebra | Ilse Ipsen |
| MS 03 | Advanced Acceleration and Convergence Techniques for Solving Linear and Nonlinear Systems | Yunhui He |
| MS 04 | Matrix Geometries | Rongbiao Wang |
| MS 05 | Matrix Nearness Problems | Volker Mehrmann, Vanni Noferini |
| MS 06 | Matrix Inequalities, Matrix Equations, and Their Applications | Tin Yau Tam, Dominique Guillot, Mohsen Aliabadi |
| MS 07 | Spectral Graph Theory | Sebastian Cioaba, Gabriel Coutinho, Michael Tait |
| MS 08 | The Inverse Eigenvalue Problem of a Graph and Zero Forcing | Leslie Hogben, Bryan Shader |
| MS 09 | Numerical Ranges and Numerical Radii | Pan Shun Lau, Chi-Kwong Li, Raymond Nung-Sing Sze |
| MS 10 | Inverse Problems and Uncertainty Quantification through the Lens of Numerical Linear Algebra | Jonathan Lindbloom, Toluwani Okunola, Mirjeta Pasha |
| MS 11 | Numerical Linear Algebra Tools for Model Order Reduction | Mattia Manucci, Sean Reiter |
| MS 12 | Theoretical Advances in Operator Learning | Diana Halikias, Sam Otto |
| MS 13 | Computational Advances in Discrete Inverse Problems | Silvia Gazzola, Lucas Onisk, Malena Sabate Landman |
| MS 14 | Code-based Cryptography | Sarah Arpin, Jason LeGrow |
| MS 15 | Linear Algebra Foundations for Data-driven Modeling and Model Order Reduction | Ionut Farcas, Steffen W. R. Werner |
| MS 16 | Hierarchical Low-Rank Approximations: Algorithms and Applications | Chao Chen, Arvind Saibaba |
| MS 17 | Where Algebraic Coding Theory and Graph Theory Meet | Aida Abiad, Giuseppe Cotardo |
| MS 18 | Topics in Randomized Numerical Linear Algebra | Jamie Haddock, Anna Ma, Kate Pearce |
| MS 19 | Convex Structures in Quantum Information and Gravity | Martin Plávala |
| MS 20 | Eigenvalues of Nonnegative and Stochastic Matrices | Brando Vagenende |
| MS 21 | Krylov Iterative Methods for Linear Equations | Ron Morgan |
| MS 22 | Algebraic Invariants of Graphs | Carlos A. Alfaro, Ralihe Raul Villagran Olivas |
| MS 23 | Low-Complexity Data-driven or Classical Algorithms and Applications | Sirani M. Perera, James Nagy, Ilias Kotsireas |
| MS 24 | Approximate Computing in Numerical Linear Algebra | Massimiliano Fasi, Xiaobo Liu |
| MS 25 | Rational Approximation and Interpolation: Practical Applications, Challenges and Solutions | Athanasios Antoulas, Ion Victor Gosea, Charles Poussot-Vassal |
| MS 26 | Advances and Challenges in Eigensolvers | Daniel Bielich, Francoise Tisseur |
| MS 27 | Linear Algebra Education | Jephian C.-H. Lin, Anthony Cronin, Fernando de Terán Vergara |
| MS 28 | Symplectic Linear Algebra and Applications | Tanvi Jain, Hemant Mishra |
| MS 29 | Low-rank Matrix and Tensor Decompositions: Theory, Algorithms and Applications | Subhayan Saha, Stefano Sicilia |
| MS 30 | Spectral Interlacing, Graph Learning, and Quantum Perspectives on Signed Graphs | Amrita Mandal, Ravi Srivastava |
| MS 31 | Sparse Tensor Computations: Algorithms and Applications | Tianyi Shi, Navjot Singh |
| MS 32 | Advances in Randomized Algorithms and Kernel Methods for Rank-Structured Matrices | Rajarshi Bhattacharjee, Tong Ding, Vladimir Druskin, Marc Aurele Gilles, Mikhail Lepilov, Siting Liu, Ibrohim Nosirov, Andrew Horning |
| MS 33 | Quantum Numerical Linear Algebra | Daan Camps, Arielle Carr, Kathryn Lund, Roel Van Beeumen |
| MS 34 | Model- and Data-driven Reduced-order Models and Their Applications in Inverse Problems | Vladimir Druskin, Mikhail Zaslavskiy, Joern Zimmerling |
| MS 35 | Recent Advances in Tensor Decompositions for Model and Data Reduction | Misha Kilmer, Vishwas Rao |
| MS 36 | Polynomials, Krylov Methods and Applications | Cade Ballew, Ethan Epperly, Alexander Hsu |
| MS 37 | New Advancements in Tensor Decomposition and Computation | Anna Konstorum, Carmeliza Navasca |
| MS 38 | Combinatorial Matrix Theory | Lei Cao, Louis Deaett |
| MS 39 | Advances in Application-Driven Family of Matrix Computations: Factorization, Inverse, and Linear Solves | Kapil Ahuja |
The in-detail descriptions of the minisymposia sessions are available in the conference system at https://indico.math.vt.edu/event/2/program.
Social Highlights
Opening Reception
The opening reception is included in the conference registration fee. Further details will be posted soon!
Conference Dinner
Join us for the conference dinner at Eastern Divide Brewing, a local brewery and restaurant at the outskirts of Blacksburg, featuring regional drinks and local food specialties. The brewery's name is inspired by Blacksburg's geographical location on the continental divide, where water on one side drains toward the Atlantic Ocean, while water on the opposite side flows toward the Mississippi River. Enjoy the casual-style dinner with stimulating conversations and delicious food amidst the charming ambiance of the Appalachian region.
The surcharge for the conference dinner includes a shuttle service offering convenient transportation to and from the event venue.
Excursion
Three different options are available for the excursion. The surcharge for this event includes a shuttle service to the respective locations and a lunch meal.
Option 1: Cascade Falls
This moderate hike will lead you through some of the most gorgeous scenery of the Appalachians to a 69-foot-tall waterfall.
Hike length: 3.7 miles
Elevation gain: 718 ft
Hike duration: 1.5–2 hours
Option 2: Angel's Rest
This strenuous hike along a scenic section of the famous Appalachian Trail offers breathtaking, panoramic views of the region.
Hike length: 4.1 miles
Elevation gain: 1525 ft
Hike duration: 3–3.5 hours
Option 3: Mountain Lake Lodge
Enjoy a relaxing afternoon at the hotel from the movie Dirty Dancing, the perfect setting to unwind with a drink and reflect on life.
This excursion contains an optional light hike to Bald Knob offering another chance for great views.
Hike length: 0.8 miles
Elevation gain: 410 ft
Hike duration: 0.5–1 hour