Research Explorer

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Researcher

Domenico Spina

65 Results

2023

A two-step approach for the analysis of bulk current injection setups involving multiwire bundles

Nicola ToscaniXinglong WuDomenico SpinaDries Vande GinsteFlavia Grassi

A1 Journal Article in IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

Bayesian optimization for microwave devices using deep GP spectral surrogate models

Federico GarbugliaDomenico SpinaDirk DeschrijverIvo CouckuytTom Dhaene

A1 Journal Article in IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks

Jonas Van GompelDomenico SpinaChris Develder

A1 Journal Article in ENERGY

2022

A robust Bayesian optimization framework for microwave circuit design under uncertainty

Duygu De WitteJixiang QingIvo CouckuytTom DhaeneDries Vande GinsteDomenico Spina

A1 Journal Article in ELECTRONICS

Adaptive sampling with automatic stopping for feasible region identification in engineering design

Jixiang QingNicolas KnuddeFederico GarbugliaDomenico SpinaIvo CouckuytTom Dhaene

A1 Journal Article in ENGINEERING WITH COMPUTERS

Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions

Nasrulloh Ratu Bagus SatrioIvo CouckuytFederico GarbugliaDomenico SpinaInneke Van NieuwenhuyseTom Dhaene

A1 Journal Article in ENGINEERING WITH COMPUTERS

Deep learning techniques for digital satellite communications

Federico GarbugliaTom DhaeneDomenico Spina

Bookchapter in Applications of deep learning in electromagnetics : teaching Maxwell's equations to machines

Frequency domain behavior of S‐parameters piecewise‐linear fitting in a digital‐wave framework

Piero BelforteDomenico SpinaMaria Denise AstorinoGiulio AntoniniMaurizio Ferrari

A1 Journal Article in INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS

S-parameter modeling and optimization using deep Gaussian processes

Federico GarbugliaDomenico SpinaDirk DeschrijverIvo CouckuytTom Dhaene

SPICE-compatible equivalent circuit models for accurate time-domain simulations of passive photonic integrated circuits

Yinghao YeThijs UllrickWim BogaertsTom DhaeneDomenico Spina

A1 Journal Article in JOURNAL OF LIGHTWAVE TECHNOLOGY

Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks

Jonas Van GompelDomenico SpinaChris Develder

A1 Journal Article in APPLIED ENERGY

2021

Bayesian active learning for multi-objective feasible region identification in microwave devices

Federico GarbugliaJixiang QingNicolas KnuddeDomenico SpinaIvo CouckuytDirk DeschrijverTom Dhaene

A1 Journal Article in ELECTRONICS LETTERS

Chapter 10 : Mixed epistemic-aleatory uncertainty using a new polynomial chaos formulation combined with machine learning

Domenico SpinaTom DhaeneFlavia Grassi

Bookchapter in Uncertainty quantification of electromagnetic devices, circuits, and systems

Complex vector fitting toolbox : a software package for the modelling and simulation of general linear and passive baseband systems

Domenico SpinaYinghao YeDirk DeschrijverWim BogaertsTom Dhaene

A1 Journal Article in ELECTRONICS LETTERS

Machine learning-based characterization of SNR in digital satellite communication links

Brecht DhuyvettersDaniel DelaruelleHendrik RogierTom DhaeneDries Vande GinsteDomenico Spina

Temporal convolutional networks for fault diagnosis of photovoltaic systems using satellite and inverter measurements

Jonas Van GompelDomenico SpinaChris Develder

2020

A machine learning-based epistemic modeling framework for EMC and SI assessment

Duygu De WitteSimon De RidderDomenico SpinaTom DhaeneHendrik RogierDries Vande GinsteFlavia Grassi

Automated framework for time-domain piecewise-linear fitting method based on digital wave processing of $S$-parameters

Piero BelforteDomenico SpinaLuigi LombardiGiulio AntoniniTom Dhaene

A1 Journal Article in IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Bayesian active learning for electromagnetic structure design

Jixiang QingNicolas KnuddeIvo CouckuytDomenico SpinaTom Dhaene

Evaluation of generative modeling techniques for frequency responses

Federico GarbugliaDomenico SpinaDirk DeschrijverTom Dhaene

Machine learning-based hybrid random-fuzzy modeling framework for antenna design

Duygu De WitteSimon De RidderDomenico SpinaIvo CouckuytFlavia GrassiTom DhaeneHendrik RogierDries Vande Ginste

Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment

Simon De RidderDomenico SpinaNicola ToscaniFlavia GrassiDries Vande GinsteTom Dhaene

A1 Journal Article in IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

Statistical modeling of frequency responses using linear Bayesian vector fitting

Simon De RidderDirk DeschrijverDomenico SpinaDries Vande GinsteTom Dhaene

A1 Journal Article in INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS

2019

A Bayesian approach to adaptive frequency sampling

Simon De RidderDirk DeschrijverDomenico SpinaTom DhaeneDries Vande Ginste

A machine-learning-based epistemic modeling framework for textile antenna design

Duygu De WitteDomenico SpinaSimon De RidderFlavia GrassiHendrik RogierDries Vande Ginste

A1 Journal Article in IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS

Adaptive frequency sampling using linear Bayesian vector fitting

Simon De RidderDirk DeschrijverDomenico SpinaTom DhaeneDries Vande Ginste

A1 Journal Article in ELECTRONICS LETTERS

Baseband macromodeling of linear photonic circuits for time-domain simulations

Yinghao YeDomenico SpinaWim BogaertsTom Dhaene

A1 Journal Article in JOURNAL OF LIGHTWAVE TECHNOLOGY

Effective time-domain approach for the assessment of the stability characteristics and other non-linear effects of RF and microwave circuits

Leonardo PantoliDomenico SpinaDaniele RomanoGiulio AntoniniGiorgio LeuzziTom Dhaene

A1 Journal Article in IET MICROWAVES ANTENNAS & PROPAGATION

Efficient time-domain modeling and simulation of passive bandpass systems

Yinghao YeDomenico SpinaDirk DeschrijverWim BogaertsTom Dhaene

Machine learning based error detection in transient susceptibility tests

Roberto MedicoNiels LambrechtHugo PuesDries Vande GinsteDirk DeschrijverTom DhaeneDomenico Spina

A1 Journal Article in IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

Machine-learning-based error detection and design optimization in signal integrity applications

Roberto MedicoDomenico SpinaDries Vande GinsteDirk DeschrijverTom Dhaene

A1 Journal Article in IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY

Predicting yield of photonic circuits with wafer-scale fabrication variability : invited paper

Wim BogaertsYufei XingYinghao YeUmar KhanJiaxing DongJoris GeesselsMartin FiersDomenico SpinaTom Dhaene

Time-domain analysis of RF and microwave autonomous circuits by vector fitting-based approach

Leonardo PantoliDomenico SpinaDaniele RomanoGiulio AntoniniGiorgio LeuzziTom Dhaene

Time-domain characterization of photonic integrated filters subject to fabrication variations

Yinghao YeMi WangDomenico SpinaWim BogaertsTom Dhaene

A1 Journal Article in JOURNAL OF LIGHTWAVE TECHNOLOGY

Time-domain compact macromodeling of linear photonic circuits via complex vector fitting

Yinghao YeDomenico SpinaDirk DeschrijverWim BogaertsTom Dhaene

A1 Journal Article in PHOTONICS RESEARCH

2018

Autoencoding density-based anomaly detection for signal integrity applications

Roberto MedicoDomenico SpinaDries Vande GinsteDirk DeschrijverTom Dhaene

Comprehensive and modular stochastic modeling framework for the variability-aware assessment of Signal Integrity in high-speed links

Yinghao YeDomenico SpinaPaolo ManfrediDries Vande GinsteTom Dhaene

A1 Journal Article in IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

Data-efficient bayesian optimization with constraints for power amplifier design

Nicolas KnuddeIvo CouckuytDomenico SpinaK. LukasikP. BarmutaD. SchreursTom Dhaene

Fast and accurate time-domain simulation of passive photonic systems

Yinghao YeDomenico SpinaYufei XingWim BogaertsTom Dhaene

From parameter extraction, variability models to yield prediction

Yufei XingJiaxing DongUmar KhanYinghao YeDomenico SpinaTom DhaeneWim Bogaerts

Numerical modeling of a linear photonic system for accurate and efficient time-domain simulations

Yinghao YeDomenico SpinaYufei XingWim BogaertsTom Dhaene

A1 Journal Article in PHOTONICS RESEARCH

Parameterized macromodeling of stochastic linear systems for frequency- and time-domain variability analysis

Yinghao YeDomenico SpinaG. AntoniniTom Dhaene

Review of polynomial chaos-based methods for uncertainty quantification in modern integrated circuits

Arun KainturaTom DhaeneDomenico Spina

A1 Journal Article in ELECTRONICS

2017

A Kriging and stochastic collocation ensemble for uncertainty quantification in engineering applications

Arun KainturaDomenico SpinaIvo CouckuytLuc KnockaertWim BogaertsTom Dhaene

A1 Journal Article in ENGINEERING WITH COMPUTERS

A novel parametric macromodeling technique for electromagnetic structures with propagation delays

M. SguegliaA. SorrentinoM. de MagistrisDomenico SpinaDirk DeschrijverTom Dhaene

Electric vehicle use in public fleets : the case of the Genoa University

F. FoiadelliM. LongoF. DelfinoS. BraccoDomenico SpinaTom Dhaene

Measurement uncertainty propagation in transistor model parameters via polynomial chaos expansion

Alessandra PetrocchiArun KainturaGustavo AvolioDomenico SpinaTom DhaeneAntonio RaffoDominique MM-P Schreurs

A1 Journal Article in IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS

Parametric macromodeling of integrated inductors for RF circuit design

F PassosYinghao YeDomenico SpinaE RocaR Castro-LopezTom DhaeneFV Fernandez

A1 Journal Article in MICROWAVE AND OPTICAL TECHNOLOGY LETTERS

Polynomial chaos-based macromodeling of general linear multiport systems for time-domain analysis

Domenico SpinaTom DhaeneLuc KnockaertGiulio Antonini

A1 Journal Article in IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

Time-domain variability analysis of general linear systems terminated with nonlinear devices

Yinghao YeDomenico SpinaPaolo ManfrediDries Vande GinsteTom Dhaene

2016

Comparison study of PC and kriging based surrogate modeling

Arun KainturaDomenico SpinaIvo CouckuytTom Dhaene

Frequency-dependent parameterized macromodeling of integrated inductors

F PassosE RocaR Castro-LopezFV FernandezYinghao YeDomenico SpinaTom Dhaene

Macromodeling of general linear systems under stochastic variations

Yinghao YeDomenico SpinaTom DhaeneLuc KnockaertGiulio Antonini

Stochastic collocation for device-level variability analysis in integrated photonics

Yufei XingDomenico SpinaAng LiTom DhaeneWim Bogaerts

A1 Journal Article in PHOTONICS RESEARCH

Variability analysis of device-level photonics using stochastic collocation (Conference Presentation)

Yufei XingDomenico SpinaAng LiTom DhaeneWim Bogaerts

2015

Polynomial chaos-based macromodeling of multiport systems using an input-output approach

Domenico SpinaFrancesco FerrantiTom DhaeneLuc KnockaertGiulio Antonini

A1 Journal Article in INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS

Stochastic macromodeling for hierarchical uncertainty quantification of nonlinear electronic systems

Domenico SpinaD De JongheFrancesco FerrantiG GielenTom DhaeneLuc KnockaertG Antonini

2014

Efficient variability analysis of electromagnetic systems via polynomial chaos and model order reduction

Domenico SpinaFrancesco FerrantiGiulio AntoniniTom DhaeneLuc Knockaert

A1 Journal Article in IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY

Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems

Domenico SpinaFrancesco FerrantiG AntoniniTom DhaeneLuc Knockaert

Stochastic macromodeling for efficient and accurate variability analysis of modern high-speed circuits

Domenico SpinaTom DhaeneLuc KnockaertGiulio Antonini

Stochastic macromodeling of nonlinear systems via polynomial chaos expansion and transfer function trajectories

Domenico SpinaDimitri De JongheDirk DeschrijverGeorges GielenLuc KnockaertTom Dhaene

A1 Journal Article in IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

2012

Polynomial chaos based variability analysis of multiport systems

Domenico SpinaFrancesco FerrantiTom DhaeneLuc KnockaertG Antonini

Time-domain green's function-based parametric sensitivity analysis of multiconductor transmission lines

Domenico SpinaFrancesco FerrantiGiulio AntoniniTom DhaeneLuc KnockaertDries Vande Ginste

A1 Journal Article in IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY

Variability analysis of multiport systems via polynomial-chaos expansion

Domenico SpinaFrancesco FerrantiTom DhaeneLuc KnockaertGiulio AntoniniDries Vande Ginste

A1 Journal Article in IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

2011

Time-domain parametric sensitivity analysis of multiconductor transmission lines

Domenico SpinaFrancesco FerrantiG AntoniniTom DhaeneLuc Knockaert