Conference Contributions

Conference organization (1)

Talks (16)

Presented posters (4)


Conference organization

05/25/2026–
05/29/2026
Young Mathematicians in Model Order Reduction Conference (YMMOR 2026), Virginia Tech, Blacksburg, VA, USA, Co-organizers: Sam Bender, Jordan Jackson, Reetish Padhi, Sean Reiter, and Cankat Tilki (1 week conference).

Talks

05/25/2026–
05/29/2026
From data to structured models via second-order AAA algorithms, Young Mathematicians in Model Order Reduction Conference (YMMOR 2026), Virginia Tech, Blacksburg, VA, USA.
05/18//2026–
05/22/2026
A refined nonlinear least-squares method for the rational approximation problem, 27th Conference of the International Linear Algebra Society (ILAS 2026), Blacksburg, VA, USA, (invited minisymposium talk).
05/09/2026 A refined adaptive nonlinear least-squares method for the rational approximation problem, Sayas Numerics Day, University of Maryland, College Park, MD, USA.
03/28/2026 Equioscillation in L2 and L∞ rational approximation VT AWM Symposium on Mathematical Excellence, Virginia Tech, Blacksburg, VA, USA.
02/23/2026 Enhancing the adaptive Antoulas-Anderson algorithm with iteratively reweighted least squares, Applied Numerical Analysis Seminar, Virginia Tech, Blacksburg, VA, USA, (Spring 2026).
01/04/2026–
01/07/2026
Second-order AAA algorithms for structured data-driven modeling, Joint Mathematics Meetings (JMM 2026), Washington, D.C., USA, (invited minisymposium talk).
10/20/2025 Towards a reduced order model for hyperbolic partial differential equations, Applied Numerical Analysis Seminar, Virginia Tech, Blacksburg, VA, USA, (Fall 2025).
04/06/2025–
04/11/2025
Robust learning of rational transfer functions from time-domain data, Challenges, Opportunities, and New Horizons in Rational Approximation, Banff International Research Station, Banff, AB, Canada, (invited talk).
11/11/2024 Learning mechanical systems from data via a structured AAA algorithm, Applied Numerical Analysis Seminar, Virginia Tech, Blacksburg, VA, USA, (Fall 2024).
09/09/2024–
09/13/2024
Optimal HL2 approximation from time-domain data, Model Reduction and Surrogate Modeling (MORe2024), La Jolla, CA, USA.
03/04/2024–
03/08/2024
Frequency-Domain Based Learning of Dynamical Systems from Purely Time-Domain Data, Young Mathematicians in Model Order Reduction Conference (YMMOR 2024), University of Stuttgart, Stuttgart, Germany.
10/20/2023 Analysis of the Hermite Loewner Framework Towards a Robust Implementation of TF-IRKA, Applied Numerical Analysis Seminar, Virginia Tech, Blacksburg, VA, USA, (Fall 2023).
10/06/2023 Frequency-based reduced order models from purely time-domain data, Mid-Atlantic Numerical Analysis Day, Temple University, Philadelphia, PA, USA.
02/26/2023–
03/03/2023
Frequency-domain based learning of dynamical systems from purely time-domain data, SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam, The Netherlands, (invited minisymposium talk).
04/22/2022 Frequency-domain based learning of dynamical systems from purely time-domain data</a>, Applied Numerical Analysis Seminar, Virginia Tech, Blacksburg, VA, USA, (Spring 2022).
10/22/2021 Towards Frequency Domain Data Driven Modeling from Time Domain Data, Applied Numerical Analysis Seminar, Virginia Tech, Blacksburg, VA, USA, (Fall 2021).

Posters

06/08/2025–
06/13/2025
Leveraging Numerical Linear Algebra for Robust Learning of Optimal H2 models from time-domain data, Householder Symposium XXII, Cornell University, Ithaca, NY, USA, (poster).
01/06/2025–
01/10/2025
Learning Mechanical Systems From Data via Structured AAA Algorithms, Computational Learning for Model Reduction, ICERM, Providence, RI, USA, (invited poster).
10/21/2024–
10/25/2024
Learning Mechanical Systems From Data via Structured Barycentric Forms, SIAM Conference on Mathematics of Data Science (MDS24), Atlanta, GA, USA, (poster).
09/26/2022–
09/30/2022
Frequency-Domain Based Learning of Dynamical Systems from Purely Time-Domain Data, SIAM Conference on Mathematics of Data Science (MDS22), San Diego, CA, USA, (invited poster).