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        • Julia Schleuß
  • Numerical Analysis & Scientific Computing
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    • Dmitry Kabanov
    • Hendrik Kleikamp
    • Mario Ohlberger
    • Stephan Rave
    • Lukas Renelt
    • Felix Schindler
    • Julia Schleuß
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Dr. Julia Schleuß
© JS
Dr. Julia Schleuß
Scientific Assistant
Institute for Computational and Applied Mathematics
Workgroup Prof. Ohlberger
Room 120.007 (Orléans-Ring 10)
Einsteinstr. 62
48149 Muenster
Germany
T: +49-(0)251-83-35053
F: +49-(0)251-83-32729
julia.schleuss@uni-muenster.de
 
  • Research Foci

    • (Localized) model order reduction
    • Multiscale methods
    • Domain decomposition methods
  • CV

    Academic Education

    04.2019 – 04.2023
    PhD in Mathematics
    10.2016 – 02.2019
    MSc. Mathematics with Minor in Economics, University of Münster
    10.2013 – 09.2016
    BSc. Mathematics with Minor in Business Administration, University of Münster

    Positions

    since 04.2019
    Research Assistant, Workgroup of Prof. Dr. Ohlberger, University of Münster
    10.2015 – 02.2019
    Student Assistant, Institute for Analysis and Numerics, University of Münster
  • Teaching

    Winter Term 2025/26

    • Lecture: Numerik partieller Differentialgleichungen [102385]
      (in cooperation with Stephan Rave)
      • [13th Oct 2025 – 26th Jan 2026 | Mon, 8.00 a. m. – 10.00 a. m. | weekly | M B 2 (M 2)]
      • [16th Oct 2025 – 29th Jan 2026 | Thu, 8.00 a. m. – 10.00 a. m. | weekly | M B 2 (M 2)]

    Summer Term 2025

    • Lecture: Analysis und Numerik von Differentialgleichungen [100350]
      (in cooperation with Mario Ohlberger and Hendrik Kleikamp)
    • Practical: Modell- und Daten-basierte Methoden in den Naturwissenschaften [100338]
      (in cooperation with Andreas Heuer, Christian Engwer, Svetlana Gurevich and Mario Ohlberger)

    Winter Term 2024/25

    • Practical: Nichtlineare Modellierung in den Naturwissenschaften [108339]
      (in cooperation with Andreas Heuer, Christian Engwer, Svetlana Gurevich, Mario Ohlberger and Hendrik Kleikamp)

    Summer Term 2024

    • Lecture: Numerik Partieller Differentialgleichungen II [106353]
      (in cooperation with Mario Ohlberger and Hendrik Kleikamp)
    • Practical: Nichtlineare Modellierung in den Naturwissenschaften [106341]
      (in cooperation with Andreas Heuer, Christian Engwer, Svetlana Gurevich, Lukas Renelt, Mario Ohlberger and André Schlichting)

    Winter Term 2023/24

    • Practical: Nichtlineare Modellierung in den Naturwissenschaften [104493]
      (in cooperation with Andreas Heuer, Christian Engwer, Svetlana Gurevich, Lukas Renelt, Mario Ohlberger and André Schlichting)

    Summer Term 2023

    • Lecture: Angewandte Funktionalanalysis [102399]
      (in cooperation with Mario Ohlberger and Hendrik Kleikamp)
    • Practical: Nichtlineare Modellierung in den Naturwissenschaften [102396]
      (in cooperation with Andreas Heuer, Christian Engwer, Svetlana Gurevich, Lukas Renelt, Mario Ohlberger and André Schlichting)
    • Practice: Übungen zur Vorlesung Angewandte Funktionalanalysis [102400]
      (in cooperation with Mario Ohlberger and Hendrik Kleikamp)

    Winter Term 2022/23

    • Lecture: Numerical Methods for Partial Differential Equations [100384]
      (in cooperation with Stephan Rave and Gunnar Birke)

    Winter Term 2021/22

    • Practical: Nichtlineare Modellierung in den Naturwissenschaften [106351]
      (in cooperation with Christian Engwer, Svetlana Gurevich, Lukas Renelt, Mario Ohlberger, Hendrik Kleikamp, André Schlichting and Andreas Heuer)

    Summer Term 2021

    • Practical: Nichtlineare Modellierung in den Naturwissenschaften [104437]
      (in cooperation with Andreas Heuer, Christian Engwer, Svetlana Gurevich, Lukas Renelt and Mario Ohlberger)
  • Publications

    2024

    • Keil, Tim, Ohlberger, Mario, Schindler, Felix, and Schleuß, Julia. 2024. “Local training and enrichment based on a residual localization strategy.” Preprint. in Proceedings of the Conference Algoritmy 2024, Vol. 8 of Proceedings of the Conference Algoritmy, edited by P Frolkovič, K Mikula and D Ševčovič. Bratislava: Jednota slovenských matematikov a fyzikov.

    2023

    • Schleuß, Julia, Smetana, Kathrin, and ter Maat, Lukas. 2023. “Randomized quasi-optimal local approximation spaces in time.” SIAM Journal on Scientific Computing 45 (3). doi: 10.1137/22M1481002.
    • Schleuß, Julia, and Smetana, Kathrin. 2023. “DEIM vs. leverage scores for time-parallel construction of problem-adapted basis functions.” Preprint. arXiv doi: 10.48550/arXiv.2302.00348.

    2022

    • Schleuß, Julia, and Smetana, Kathrin. 2022. “Optimal local approximation spaces for parabolic problems.” Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal 20 (1). doi: 10.1137/20M1384294.

    2019

    • Schleuß, Julia. 2019. Master's thesis, Optimal local approximation spaces for parabolic problems (Master's thesis)
  • Contacts
MathematicsMuensterCells in MotionSFB 656 MoBilDEMAIN – Developing Mathematics in InteractionCenter for Nonlinear ScienceCenter for Multiscale Theory and ComputationCompetence for Computing in Science
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University of Münster
Angewandte Mathematik Münster

Orléans-Ring 10
48149 Münster

Tel: +49 (0) 251 83-35052
Fax: +49 (0) 251 83-32729
seknum@wwu.de
 
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