Doctoral Candidate
Sarvin Moradi
Department
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 Hamiltonian neural networks (OE-HNN)
30th Workshop of the European Research Network on System Identification, ERNSI 2022 (2022) -
Learning Constitutive Laws in Engineering Systems
41st Benelux Meeting on Systems and Control 2022 (2022)
Ancillary Activities
No ancillary activities