Projecten per jaar
Persoonlijk profiel
Research profile
Sarvin Moradi is a Doctoral Candidate at the Control Systems (CS) Group at the Department of Electrical Engineering. Her current research is part of the DAMOCLES (Data-Augmented Modeling Of Constitutive Laws for Engineering Systems) project founded by the EAISI (Eindhoven AI Systems Institute). She is working under the supervision of Roland Tóth, Maarten Schoukens, and Nick Jaensson. Her main research interest is the development of a general framework for modeling engineering systems that combines the favorable characteristics of physics-based and data-based approaches.
Vingerafdruk
- 6 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Projecten
- 1 Actief
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DAMOCLES: Data-Augmented Modeling Of Constitutive Laws for Engineering Systems
Nawijn, H. (Project communicatie medewerker), Hendrix, W. H. A. (Project communicatie medewerker), Schoukens, M. (Project communicatie medewerker), Jaensson, N. O. (Project communicatie medewerker), Tóth, R. (Project Manager) & Moradi, S. (Projectmedewerker)
1/09/21 → 31/12/25
Project: First tier
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Port-Hamiltonian Neural Networks with Output Error Noise Models
Moradi, S., Beintema, G. I., Jaensson, N. O., Tóth, R. & Schoukens, M., feb. 2025, (Ingediend) In: Automatica. 12 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic
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Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Network
van Otterdijk, G., Moradi, S., Weiland, S., Tóth, R., Jaensson, N. O. & Schoukens, M., 2024.Onderzoeksoutput: Bijdrage aan congres › Poster
Open Access -
Output error port-Hamiltonian neural networks: Cascaded tanks system with overflow
Moradi, S., Beintema, G. I., Jaensson, N. O., Tóth, R. & Schoukens, M., 24 apr. 2024, blz. 26. 1 blz.Onderzoeksoutput: Bijdrage aan congres › Abstract › Academic
Open AccessBestand140 Downloads (Pure) -
Output error port-Hamiltonian neural networks
Moradi, S., Jaensson, N. O., Tóth, R. & Schoukens, M., 26 mrt. 2024, blz. 153. 1 blz.Onderzoeksoutput: Bijdrage aan congres › Abstract › Academic
4 Downloads (Pure) -
Learning physical models using Hamiltonian Neural Networks with output error noise models
Moradi, S., Jaensson, N., Tóth, R. & Schoukens, M., 21 mrt. 2023, blz. 37. 1 blz.Onderzoeksoutput: Bijdrage aan congres › Abstract › Academic
Open Access