NASTARAN SOLEIMANI

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PhD Student
Visiting Staff - Borse premio di laurea per tesi dottorandi (incentivazione qualitativa)
Visiting Staff - Borse premio di laurea per tesi dottorandi (incentivazione qualitativa) (Department of Applied Science and Technology)
Visiting Staff - Borse premio di laurea per tesi dottorandi (incentivazione qualitativa) (Department of Energy)

Most recent publications

Kushwaha, Suyash; Soleimani, Nastaran; Treviso, Felipe; Kumar, Rahul; Trinchero, ... (2022)
Comparative Analysis of Prior Knowledge-Based Machine Learning Metamodels for Modeling Hybrid Copper–Graphene On-Chip Interconnects. In: IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. ISSN 0018-9375
Ahmadi, Mohsen; Sharifi, Abbas; Jafarian Fard, Mahta; Soleimani, Nastaran (2021)
Detection of brain lesion location in MRI images using convolutional neural network and robust PCA. In: INTERNATIONAL JOURNAL OF NEUROSCIENCE, pp. 1-12. ISSN 0020-7454
Soleimani, N.; Trinchero, R.; Canavero, F. (2020)
Application of Different Learning Methods for the Modelling of Microstrip Characteristics. In: 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020, chn, 2020, pp. 1-3. ISBN: 978-1-7281-9412-7
Soleimani, N.; Alijani, M. G. H.; Neshati, M. H. (2019)
Crosstalk analysis of uniform and nonuniform lossy microstrip-coupled transmission lines. In: INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, vol. 29. ISSN 1096-4290
GHadikolaei Alijani, Mohammad; Soleimani, Nastaran; Hassan Neshati, Mohammad (2019)
Power transmission through a single conductive element. N. brevetto: 10868525, propr. brevetto: 4 - Soggetti terzi
Soleimani, Nastaran; Alijani, Mohammad G. H.; Neshati, Mohammad H. (2019)
Crosstalk analysis of multi‐microstrip coupled lines using transmission line modeling. In: INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, vol. 29. ISSN 1096-4290
Soleimani, Nastaran; Alijani, Mohammad G. H.; Neshati, Mohammad H. (2019)
Crosstalk analysis at near-end and far-end of the coupled transmission lines based on eigenvector decomposition. In: AEÜ. INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, vol. 112. ISSN 1434-8411
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