Felipe Treviso

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34^th cycle (2018-2021)

Ph.D. obtained in 2022

Profile

Research topic

Modeling for the Computer-Aided Design of Long Interconnects

Research interests

Electromagnetic Compatibility, Signal and Power Integrity

Modeling, simulation and CAD

Biography

Felipe Treviso was born in Guaporé, Brazil, and receveid his bachelor and master degrees in Electrical Engineering from Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, in 2014 and 2016, respectively. Since 2018, he is a PhD candidate at the electronics department of Politecnico di Torino, Torino, Italy, working on the modelling of electrical interconnects. He was awarded an honorable mention in the Student Paper Competition at the URSI General Assembly and Scientific Symposium 2020.

Awards and Honors

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)

Teaching

Teachings

Bachelor of Science

Electromagnetism and Circuit theory (modulo di Circuit Theory). A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

MostraNascondi A.A. passati

Publications

Works published during the Ph.D. View all publications in 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; 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)
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
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)
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. (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. (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)

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