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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.
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Projects
- 1 Active
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DAMOCLES: Data-Augmented Modeling Of Constitutive Laws for Engineering Systems
Nawijn, H. (Project communication officer), Hendrix, W. H. A. (Project communication officer), Schoukens, M. (Project communication officer), Jaensson, N. O. (Project communication officer), Tóth, R. (Project Manager) & Moradi, S. (Project member)
1/09/21 → 31/12/25
Project: First tier
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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, p. 26. 1 p.Research output: Contribution to conference › Abstract › Academic
Open AccessFile123 Downloads (Pure) -
Output error port-Hamiltonian neural networks
Moradi, S., Jaensson, N. O., Tóth, R. & Schoukens, M., 26 Mar 2024, p. 153. 1 p.Research output: Contribution to conference › Abstract › Academic
2 Downloads (Pure) -
Learning physical models using Hamiltonian Neural Networks with output error noise models
Moradi, S., Jaensson, N., Tóth, R. & Schoukens, M., 21 Mar 2023, p. 37. 1 p.Research output: Contribution to conference › Abstract › Academic
Open Access -
Output Error Port-Hamiltonian Neural Network
Moradi, S., Beintema, G. I., Jaensson, N. O., Tóth, R. & Schoukens, M., Sept 2023.Research output: Contribution to conference › Poster
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Output error port Hamiltonian neural networks: a Silverbox example
Moradi, S., Beintema, G., Jaensson, N., Tóth, R. & Schoukens, M., 19 Apr 2023, p. 20. 1 p.Research output: Contribution to conference › Abstract › Academic
Open Access