
Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34o ciclo (2018-2021)
Dottorato concluso nel 2022
Tesi:
Modeling for the Computer-Aided Design of Long Interconnects (Abstract)
Tutori:
Flavio Canavero Igor Simone Stievano Riccardo Trinchero
Presentazione della ricerca:
Presentazione videoProfilo
Argomento di ricerca
Modeling for the Computer-Aided Design of Long Interconnects
Interessi di ricerca
Biografia
Premi e riconoscimenti
- Best Student Paper Award in the 25th IEEE Workshop on Signal and Power Integrity, for the paper co-authored with Riccardo Trinchero and Flavio G. Canavero entitled "Bayesian Optimization of Hyperparameters in Kernel-Based Delay Rational Models", granted on May 12th,2021 (2021)
- Honorable mention in the URSI Student Paper Competition at the URSI General Assembly and Scientific Symposium 2020, 31 August – 3 September 2020, for the paper ”Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems” (2020)
Didattica
Insegnamenti
Corso di laurea di 1° livello
- Electromagnetism and Circuit theory (modulo di Circuit Theory). A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Treviso, Felipe; Trinchero, Riccardo; Keski-Opas, Petri; Kelander, Ilkka; Canavero, ... (2022)
Sensitivity Analysis of Passive Intermodulation Due to Electrical Contacts. In: IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, vol. 64, pp. 760-769. ISSN 0018-9375
Contributo su Rivista - Treviso, Felipe (2022)
Modeling for the Computer-Aided Design of Long Interconnects. relatore: CANAVERO, Flavio; STIEVANO, IGOR SIMONE; , 34. XXXIV Ciclo, P.: 127
Doctoral Thesis - Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G. (2022)
Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact. In: 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC), Gran Canaria, Spain, 30 May 2022 - 04 June 2022, pp. 1-4. ISBN: 9789463968058
Contributo in Atti di Convegno (Proceeding) - 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, vol. 64, pp. 2249-2260. ISSN 0018-9375
Contributo su Rivista - Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G. (2021)
Bayesian Optimization of Hyperparameters in Kernel-Based Delay Rational Models. In: IEEE ELECTROMAGNETIC COMPATIBILITY MAGAZINE, vol. 10, pp. 90-93. ISSN 2162-2264
Contributo su Rivista - Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G. (2021)
Multiple Delay Identification in Long Interconnects via LS-SVM Regression. In: IEEE ACCESS, vol. 9, pp. 39028-39042. ISSN 2169-3536
Contributo su Rivista - Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G. (2020)
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems. In: 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science, Rome, Italy, 29 Aug.-5 Sept. 2020, pp. 1-4. ISBN: 978-9-4639-6800-3
Contributo in Atti di Convegno (Proceeding)