Doctoral Candidate
Sarvin Moradi
Department / Institute
Electrical Engineering
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.
Recent Publications
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Output Error Port-Hamiltonian Neural Network
(2023) -
Output error port Hamiltonian neural networks
(2023) -
Learning physical models using Hamiltonian Neural Networks with output error noise models
(2023) -
Output error Hamiltonian neural networks (OE-HNN)
(2022) -
Learning Constitutive Laws in Engineering Systems
(2022)
Ancillary Activities
No ancillary activities