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Personal profile
Research profile
Olga Mula is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). She leads a group on Data-Driven Computational Science which is part of the Center for Analysis, Scientific Computing and Applications (CASA). Her main research interest include numerical analysis of PDEs, model reduction, inverse problems, optimal transport, approximation theory and the connections between machin learning and PDEs.
Academic background
Olga Mula obtained in 2011 a double master's degree from Ecole Polytechnique (Palaiseau, France), and Universidad Politecnica (Madrid, Spain). After earning her PhD in Applied Mathematics from Sorbonne University in 2014, she spent one year at RWTH Aachen University as a postdoctoral fellow. Before joining TU/e on February 2022, she worked for six years as an Associate Professor in Applied Mathematics at Paris Dauphine University.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Reinforcement Learning for Optimizing 3D Printing Paths
Schmeitz, R., Remmers, J. J. C., Wolfs, R. J. M. & Mula, O., 18 Mar 2025.Research output: Contribution to conference › Poster
Open AccessFile47 Downloads (Pure) -
An optimal control framework for adaptive neural ODEs
Aghili, J. (Corresponding author) & Mula, O., Jun 2024, In: Advances in Computational Mathematics. 50, 3, 36 p., 52.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)6 Downloads (Pure) -
Moment-SoS methods for optimal transport problems
Mula, O. (Corresponding author) & Nouy, A., Aug 2024, In: Numerische Mathematik. 156, 4, p. 1541-1578 38 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)10 Downloads (Pure) -
State estimation of urban air pollution with statistical, physical, and super-learning graph models
Dolbeault, M., Mula, O. & Somacal, A. (Corresponding author), Jun 2024, In: Advances in Computational Science and Engineering. 2, 2, p. 130-151 22 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile19 Downloads (Pure) -
Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks
Schmeitz, R., Remmers, J. J. C., Mula, O. & van der Sluis, O. (Corresponding author), 21 Dec 2024, In: Advanced Modeling and Simulation in Engineering Sciences. 11, 1, 27 p., 24.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile30 Downloads (Pure)
Courses
Press/Media
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-Eindhoven University of Technology : Eindhoven Young Academy of Engineering welcomes six new members
Kuijer, S. C., Mula, O., Baaijens, F. P. T., Loerakker, S., van de Burgt, Y. B., Jansen, B. M. P., Proll, J. H. E., Birk, M. V., van der Meel, R., Balatsoukas-Stimming, A. & Smolders, K. C. H. J.
24/10/22
2 items of Media coverage
Press/Media: Expert Comment
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Eindhoven University of Technology: Eindhoven Young Academy Of Engineering Welcomes Six New Members
Kuijer, S. C., Mula, O., Baaijens, F. P. T., Loerakker, S., van de Burgt, Y. B., Jansen, B. M. P., Proll, J. H. E., Birk, M. V., van der Meel, R., Balatsoukas-Stimming, A. & Smolders, K. C. H. J.
22/10/22
1 item of Media coverage
Press/Media: Expert Comment
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Workshop Machine Learning and Computational Science & Engineering
7/05/22
1 item of Media coverage
Press/Media: Expert Comment