Rate My Professor Silke Glas

Silke Glas is an Associate Professor in the Department of Applied Mathematics at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science. She completed her Diploma studies at Ulm University from 2006 to 2012 and obtained a Master's degree from the University of South Florida between 2009 and 2010. Glas earned her PhD from the Institute of Numerical Mathematics at Ulm University under the supervision of Karsten Urban, with her 2018 thesis titled 'Noncoercive and parabolic variational inequalities: analysis, applications and model reduction.' Her early career featured a research assistant position at the University of Duisburg-Essen from 2012 to 2016, followed by roles at Ulm University as research assistant from 2016 to 2018 and postdoctoral associate from 2018 to 2019. She conducted research stays at the Institut Henri-Poincaré in 2016, SISSA in 2016, and MIT in 2018. From 2019 to 2021, she served as a postdoctoral associate at Cornell University, collaborating with David Bindel on stellarator optimization within the Simons Collaboration on Hidden Symmetries and Fusion Energy. She joined the University of Twente in January 2022 as Assistant Professor, advancing to Associate Professor, and works in the Mathematical Systems Theory group led by Hans Zwart.

Glas's research centers on model reduction on manifolds, with a focus on Hamiltonian and port-Hamiltonian systems to preserve energy stability and symplectic properties in high-dimensional simulations. Her work enables efficient reduced-order models that achieve high approximation quality at lower dimensions. Key publications include 'Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds' (Sharma et al., 2023, 39 citations), 'Model reduction on manifolds: a differential geometric framework' (Buchfink et al., 2024, 20 citations), 'Intraday renewable electricity trading: Advanced modeling and numerical optimal control' (Glas et al., 2020, 41 citations), 'Energy-stable port-Hamiltonian systems' (Buchfink, Glas, Zwart, 2026), and 'Estimating a matrix's singular values with interpolative decompositions' (Damle et al., 2026). With over 300 citations on Google Scholar, her contributions advance numerical methods in applied mathematics. In 2024, she received an NWO Open Competition ENW-M M1 grant for the project 'Little things make big things happen: Model reduction on manifolds for port-Hamiltonian systems.'