Nastaran Soleimani

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 35th cycle (2019-2022)

Ph.D. obtained in 2023

Dissertation:

Machine Learning based Surrogate Modeling of Electronic Devices and Circuits (Abstract)

Tutors:

Riccardo Trinchero Flavio Canavero

Research presentation:

Video presentation

Profile

Research topic

Machine Learning Models of Propagation Structures

Research interests

Big Data, Machine Learning, Neural Networks and Data Science

Biography

NASTARAN SOLEIMANI was born in Mashhad, Iran, in 1991. She received the Associate Degree in Electrical Engineering from Sadjad University of Technology, Mashhad, Iran, in 2011, BSc degree in Electrical Engineering from the Khavaran Institute of Higher-Education, Mashhad, Iran, in 2013 and MSc degree in Electrical Engineering from Ferdowsi University of Mashhad, Mashhad, Iran, in 2016. Since 2019, she is a PhD candidate at the electronic and telecommunication department of Politecnico di Torino, Turin, Italy .She is interested in electromagnetic compatibility and machine learning methods.

Awards and Honors

  • US Patent (2022)
  • Young Scientist Award to be received at the International Union of Radio Science (URSI GASS 2023), Dates. August, 2023. (2023)
  • Best Paper award (€ 1000) in the Student Paper competition of the International Conference on Electromagnetic and Multiphysics Modeling and Optimization (NEMO2022) sponsored by IEEE MTT Society and held in Limoges (France) July 6-8, 2022, with the paper “Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links,” N. Soleimani, R. Trinchero, F. Canavero. (https://www.linkedin.com/posts/detpolito_phd-candidate-nastaran-soleimani-received-activity-6952236349693308929-ROv8?utm_source=linkedin_share&utm_medium=member_desktop_web) (2022)

Publications

Works published during the Ph.D. View all publications in Porto@Iris

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