Matúš Benko

Matúš Benko is a Researcher affiliated with the Institute of Computational Mathematics at Johannes Kepler University (JKU) in Linz, Austria. He holds a PhD in Mathematics from JKU (2016) and has been a Postdoc at JKU since 2017, followed by a position at the University of Vienna’s Applied Mathematics and Optimization group since 2019. His research focuses on optimization and variational analysis, with contributions to nonsmooth optimization, constraint systems, and numerical methods.

Education:

• Bachelor’s in Mathematics (2008–2011), Comenius University, Bratislava
• Master’s in Mathematics (2011–2013), Comenius University, Bratislava
• PhD in Mathematics (2013–2017), Institute of Computational Mathematics, JKU

Research interests include variational analysis, optimization theory, and numerical methods for constrained optimization problems. His work emphasizes stability analysis, stationarity conditions, and algorithmic approaches like SQP methods. Recent publications address metric subregularity, tilt-stable minimizers, and generalized calculus in nonsmooth settings.

No scientific awards are explicitly mentioned. He teaches Numerical Optimization and contributes to the NuMa Team at JKU. No advising or grant details are provided.