Recent Course Teaching
Lund University
- Uncertainty Quantification & Data-Driven Modelling | 2025 | Advanced course for Computational Science and Mathematics
- Numerical Analysis, Basic Course | 2024, 25 | Upper-basic course for Mathematics
- Simulation Tools | 2026 | Advanced course for Mathematics
- Computational Programming with Python (as co-teacher) | 2025 | Basic course for Mathematics
University of Twente
- Course creator and lecturer of Uncertainty Quantification & Data-Driven Modeling | 2022, 23, 24 | Master-AM AI4Health
- Nonlinear Optimisation & Learning for AM | 2023 | Bachelor module 6
- Project supervisor of Modelling and Programming 3 for AM | 2023 | Bachelor module 4
- Guest lecturer of Intercultural Communication for AM | 2022, 23 | Bachelor module 1
- Linear Algebra for CE and CS | 2022, 23 | Bachelor module 3
- Calculus 1B for CE and CS | 2021, 22 | Bachelor module 2
- Linear Algebra for EE | 2021 | Bachelor module 4
Supervision of Master's and Bachelor's projects
Supervised degree projects at Lund University
Master's theses
Master's theses
- Hans George Kaliaden, master's thesis, Lund University
- Francisco García Atienza, master's thesis, Lund University
Topic: Training robust reduced-order models using the adjoint method - Sina Marie Felten, master's thesis, Lund University
Topic: Numerical modeling for subcutaneous injection pressure (Project at Technolution) - Paul Stuiver, master’s thesis, University of Twente
Topic: Reduced-order surrogate modeling for linear-nonlinear coupled problems - Irene van de Zande, master’s thesis, University of Twente
Topic: 3D point-cloud object detection for millimeter wave radar: A synthesis study (Project at Nedap N.V.) - Maurice Amendt, master’s thesis, EPFL, co-advised with Jan Hesthaven and Andrea Manzoni
Topic: Multifidelity regression using artificial neural networks - Mariella Kast, master’s thesis, EPFL, co-advised with Jan Hesthaven
Topic: Multifidelity methods for reduced order modelling of nonlinear problems
- Arnon A. B., master’s internship, University of Twente, co-advised with I. M. Vellekoop (UT) and J. A. Guggenheim (U Birmingham)
Topic: Photoacoustic memory imaging (Project at University of Birmingham) - Fabio Mistrangelo, master’s internship, University of Twente
Topic: 4DVarNet for data assimilation (Project at Deltares) - Floor van Maarschalkerwaart, master’s internship, University of Twente
Topic: Parametric analysis for spheres and cylinders in digital holography (Project at Sioux) - Paul Stuiver, master’s internship, University of Twente, co-advised with Andrea Manzoni (PoliMi)
Topic: Hybrid reduced-order modeling with domain decomposition (Project at PoliMi) - Maurice Amendt, semester project, EPFL, co-advised with Jan Hesthaven
Topic: Neural-network-induced Gaussian processes for multifidelity regression
- Noah Ben Moussa, bachelor's thesis, Lund University
- Hailan Mo & Yiwen Yang, bachelor's thesis, Lund University
Topic: Galerkin methods for PDEs: From deterministic to probabilistic - Jonas Deksnys, bachelor's thesis, Lund University
Topic: Optimisation of freight train routes with transshipments (Project at UAB Blue Bridge Code)