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Researcher
Domenico Spina
Profile
Projects
Publications
Activities
Awards & Distinctions
73
Results
2024
Neural Network Based Approaches for Fault Diagnosis of Photovoltaic Systems
Jonas Van Gompel
Domenico Spina
Chris Develder
Bookchapter
in
Learning and Analytics in Intelligent Systems
2024
2023
A two-step approach for the analysis of bulk current injection setups involving multiwire bundles
Nicola Toscani
Xinglong Wu
Domenico Spina
Dries Vande Ginste
Flavia Grassi
A1
Journal Article
in
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
2023
Bayesian optimization for microwave devices using deep GP spectral surrogate models
Federico Garbuglia
Domenico Spina
Dirk Deschrijver
Ivo Couckuyt
Tom Dhaene
A1
Journal Article
in
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
2023
Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks
Jonas Van Gompel
Domenico Spina
Chris Develder
A1
Journal Article
in
ENERGY
2023
Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems
Jonas Van Gompel
Domenico Spina
Chris Develder
P1
Conference
2023
Modal analysis of bulk current injection tests involving multiwire harnesses
Xinglong Wu
Nicola Toscani
Domenico Spina
Dries Vande Ginste
Flavia Grassi
C1
Conference
2023
Modeling S-parameters of interconnects using periodic Gaussian process kernels
Federico Garbuglia
Domenico Spina
Torsten Reuschel
Christian Schuster
Dirk Deschrijver
Tom Dhaene
P1
Conference
2023
Modeling electrically long interconnects using physics-informed delayed gaussian processes
Federico Garbuglia
Torsten Reuschel
Christian Schuster
Dirk Deschrijver
Tom Dhaene
Domenico Spina
A1
Journal Article
in
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
2023
Mutual coupling aware time-domain characterization and performance analysis of reconfigurable intelligent surfaces
Giuseppe Pettanice
Roberto Valentini
Piergiuseppe Di Marco
Fabrizio Loreto
Daniele Romano
Fortunato Santucci
Domenico Spina
Giulio Antonini
A1
Journal Article
in
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
2023
Novel Bayesian optimization based uncertainty quantification frameworks for microwave design
Duygu De Witte
Dries Vande Ginste
Domenico Spina
Dissertation
2023
Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting
Thijs Ullrick
Domenico Spina
Wim Bogaerts
Tom Dhaene
A1
Journal Article
in
SCIENTIFIC REPORTS
2023
2022
A robust Bayesian optimization framework for microwave circuit design under uncertainty
Duygu De Witte
Jixiang Qing
Ivo Couckuyt
Tom Dhaene
Dries Vande Ginste
Domenico Spina
A1
Journal Article
in
ELECTRONICS
2022
Adaptive sampling with automatic stopping for feasible region identification in engineering design
Jixiang Qing
Nicolas Knudde
Federico Garbuglia
Domenico Spina
Ivo Couckuyt
Tom Dhaene
A1
Journal Article
in
ENGINEERING WITH COMPUTERS
2022
Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions
Nasrulloh Ratu Bagus Satrio
Ivo Couckuyt
Federico Garbuglia
Domenico Spina
Inneke Van Nieuwenhuyse
Tom Dhaene
A1
Journal Article
in
ENGINEERING WITH COMPUTERS
2022
Deep learning techniques for digital satellite communications
Federico Garbuglia
Tom Dhaene
Domenico Spina
Bookchapter
in
Applications of deep learning in electromagnetics : teaching Maxwell's equations to machines
2022
Frequency domain behavior of S‐parameters piecewise‐linear fitting in a digital‐wave framework
Piero Belforte
Domenico Spina
Maria Denise Astorino
Giulio Antonini
Maurizio Ferrari
A1
Journal Article
in
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
2022
S-parameter modeling and optimization using deep Gaussian processes
Federico Garbuglia
Domenico Spina
Dirk Deschrijver
Ivo Couckuyt
Tom Dhaene
P1
Conference
2022
SPICE-compatible equivalent circuit models for accurate time-domain simulations of passive photonic integrated circuits
Yinghao Ye
Thijs Ullrick
Wim Bogaerts
Tom Dhaene
Domenico Spina
A1
Journal Article
in
JOURNAL OF LIGHTWAVE TECHNOLOGY
2022
Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks
Jonas Van Gompel
Domenico Spina
Chris Develder
A1
Journal Article
in
APPLIED ENERGY
2022
2021
Bayesian active learning for multi-objective feasible region identification in microwave devices
Federico Garbuglia
Jixiang Qing
Nicolas Knudde
Domenico Spina
Ivo Couckuyt
Dirk Deschrijver
Tom Dhaene
A1
Journal Article
in
ELECTRONICS LETTERS
2021
Chapter 10 : Mixed epistemic-aleatory uncertainty using a new polynomial chaos formulation combined with machine learning
Domenico Spina
Tom Dhaene
Flavia Grassi
Bookchapter
in
Uncertainty quantification of electromagnetic devices, circuits, and systems
2021
Complex vector fitting toolbox : a software package for the modelling and simulation of general linear and passive baseband systems
Domenico Spina
Yinghao Ye
Dirk Deschrijver
Wim Bogaerts
Tom Dhaene
A1
Journal Article
in
ELECTRONICS LETTERS
2021
Machine learning-based characterization of SNR in digital satellite communication links
Brecht Dhuyvetters
Daniel Delaruelle
Hendrik Rogier
Tom Dhaene
Dries Vande Ginste
Domenico Spina
P1
Conference
2021
Temporal convolutional networks for fault diagnosis of photovoltaic systems using satellite and inverter measurements
Jonas Van Gompel
Domenico Spina
Chris Develder
P1
Conference
2021
2020
A machine learning-based epistemic modeling framework for EMC and SI assessment
Duygu De Witte
Simon De Ridder
Domenico Spina
Tom Dhaene
Hendrik Rogier
Dries Vande Ginste
Flavia Grassi
P1
Conference
2020
Automated framework for time-domain piecewise-linear fitting method based on digital wave processing of $S$-parameters
Piero Belforte
Domenico Spina
Luigi Lombardi
Giulio Antonini
Tom Dhaene
A1
Journal Article
in
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
2020
Bayesian active learning for electromagnetic structure design
Jixiang Qing
Nicolas Knudde
Ivo Couckuyt
Domenico Spina
Tom Dhaene
P1
Conference
2020
Evaluation of generative modeling techniques for frequency responses
Federico Garbuglia
Domenico Spina
Dirk Deschrijver
Tom Dhaene
C1
Conference
2020
Machine learning-based hybrid random-fuzzy modeling framework for antenna design
Duygu De Witte
Simon De Ridder
Domenico Spina
Ivo Couckuyt
Flavia Grassi
Tom Dhaene
Hendrik Rogier
Dries Vande Ginste
P1
Conference
2020
Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment
Simon De Ridder
Domenico Spina
Nicola Toscani
Flavia Grassi
Dries Vande Ginste
Tom Dhaene
A1
Journal Article
in
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
2020
Statistical modeling of frequency responses using linear Bayesian vector fitting
Simon De Ridder
Dirk Deschrijver
Domenico Spina
Dries Vande Ginste
Tom Dhaene
A1
Journal Article
in
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
2020
2019
A Bayesian approach to adaptive frequency sampling
Simon De Ridder
Dirk Deschrijver
Domenico Spina
Tom Dhaene
Dries Vande Ginste
P1
Conference
2019
A machine-learning-based epistemic modeling framework for textile antenna design
Duygu De Witte
Domenico Spina
Simon De Ridder
Flavia Grassi
Hendrik Rogier
Dries Vande Ginste
A1
Journal Article
in
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
2019
Adaptive frequency sampling using linear Bayesian vector fitting
Simon De Ridder
Dirk Deschrijver
Domenico Spina
Tom Dhaene
Dries Vande Ginste
A1
Journal Article
in
ELECTRONICS LETTERS
2019
Baseband macromodeling of linear photonic circuits for time-domain simulations
Yinghao Ye
Domenico Spina
Wim Bogaerts
Tom Dhaene
A1
Journal Article
in
JOURNAL OF LIGHTWAVE TECHNOLOGY
2019
Effective time-domain approach for the assessment of the stability characteristics and other non-linear effects of RF and microwave circuits
Leonardo Pantoli
Domenico Spina
Daniele Romano
Giulio Antonini
Giorgio Leuzzi
Tom Dhaene
A1
Journal Article
in
IET MICROWAVES ANTENNAS & PROPAGATION
2019
Efficient time-domain modeling and simulation of passive bandpass systems
Yinghao Ye
Domenico Spina
Dirk Deschrijver
Wim Bogaerts
Tom Dhaene
P1
Conference
2019
Machine learning based error detection in transient susceptibility tests
Roberto Medico
Niels Lambrecht
Hugo Pues
Dries Vande Ginste
Dirk Deschrijver
Tom Dhaene
Domenico Spina
A1
Journal Article
in
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
2019
Machine-learning-based error detection and design optimization in signal integrity applications
Roberto Medico
Domenico Spina
Dries Vande Ginste
Dirk Deschrijver
Tom Dhaene
A1
Journal Article
in
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY
2019
Predicting yield of photonic circuits with wafer-scale fabrication variability
Wim Bogaerts
Yufei Xing
Yinghao Ye
Umar Khan
Jiaxing Dong
Joris Geessels
Martin Fiers
Domenico Spina
Tom Dhaene
P1
Conference
2019
Time-domain analysis of RF and microwave autonomous circuits by vector fitting-based approach
Leonardo Pantoli
Domenico Spina
Daniele Romano
Giulio Antonini
Giorgio Leuzzi
Tom Dhaene
P1
Conference
2019
Time-domain characterization of photonic integrated filters subject to fabrication variations
Yinghao Ye
Mi Wang
Domenico Spina
Wim Bogaerts
Tom Dhaene
A1
Journal Article
in
JOURNAL OF LIGHTWAVE TECHNOLOGY
2019
Time-domain compact macromodeling of linear photonic circuits via complex vector fitting
Yinghao Ye
Domenico Spina
Dirk Deschrijver
Wim Bogaerts
Tom Dhaene
A1
Journal Article
in
PHOTONICS RESEARCH
2019
2018
Autoencoding density-based anomaly detection for signal integrity applications
Roberto Medico
Domenico Spina
Dries Vande Ginste
Dirk Deschrijver
Tom Dhaene
P1
Conference
2018
Comprehensive and modular stochastic modeling framework for the variability-aware assessment of Signal Integrity in high-speed links
Yinghao Ye
Domenico Spina
Paolo Manfredi
Dries Vande Ginste
Tom Dhaene
A1
Journal Article
in
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
2018
Data-efficient bayesian optimization with constraints for power amplifier design
Nicolas Knudde
Ivo Couckuyt
Domenico Spina
K. Lukasik
P. Barmuta
D. Schreurs
Tom Dhaene
P1
Conference
2018
Fast and accurate time-domain simulation of passive photonic systems
Yinghao Ye
Domenico Spina
Yufei Xing
Wim Bogaerts
Tom Dhaene
C1
Conference
2018
From parameter extraction, variability models to yield prediction
Yufei Xing
Jiaxing Dong
Umar Khan
Yinghao Ye
Domenico Spina
Tom Dhaene
Wim Bogaerts
C1
Conference
2018
Numerical modeling of a linear photonic system for accurate and efficient time-domain simulations
Yinghao Ye
Domenico Spina
Yufei Xing
Wim Bogaerts
Tom Dhaene
A1
Journal Article
in
PHOTONICS RESEARCH
2018
Parameterized macromodeling of stochastic linear systems for frequency- and time-domain variability analysis
Yinghao Ye
Domenico Spina
G. Antonini
Tom Dhaene
P1
Conference
2018
Review of polynomial chaos-based methods for uncertainty quantification in modern integrated circuits
Arun Kaintura
Tom Dhaene
Domenico Spina
A1
Journal Article
in
ELECTRONICS
2018
2017
A Kriging and stochastic collocation ensemble for uncertainty quantification in engineering applications
Arun Kaintura
Domenico Spina
Ivo Couckuyt
Luc Knockaert
Wim Bogaerts
Tom Dhaene
A1
Journal Article
in
ENGINEERING WITH COMPUTERS
2017
A novel parametric macromodeling technique for electromagnetic structures with propagation delays
M. Sgueglia
A. Sorrentino
M. de Magistris
Domenico Spina
Dirk Deschrijver
Tom Dhaene
P1
Conference
2017
Electric vehicle use in public fleets : the case of the Genoa University
F. Foiadelli
M. Longo
F. Delfino
S. Bracco
Domenico Spina
Tom Dhaene
P1
Conference
2017
Measurement uncertainty propagation in transistor model parameters via polynomial chaos expansion
Alessandra Petrocchi
Arun Kaintura
Gustavo Avolio
Domenico Spina
Tom Dhaene
Antonio Raffo
Dominique MM-P Schreurs
A1
Journal Article
in
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS
2017
Parametric macromodeling of integrated inductors for RF circuit design
F Passos
Yinghao Ye
Domenico Spina
E Roca
R Castro-Lopez
Tom Dhaene
FV Fernandez
A1
Journal Article
in
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
2017
Polynomial chaos-based macromodeling of general linear multiport systems for time-domain analysis
Domenico Spina
Tom Dhaene
Luc Knockaert
Giulio Antonini
A1
Journal Article
in
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
2017
Time-domain variability analysis of general linear systems terminated with nonlinear devices
Yinghao Ye
Domenico Spina
Paolo Manfredi
Dries Vande Ginste
Tom Dhaene
P1
Conference
2017
2016
Comparison study of PC and kriging based surrogate modeling
Arun Kaintura
Domenico Spina
Ivo Couckuyt
Tom Dhaene
C3
Conference
2016
Frequency-dependent parameterized macromodeling of integrated inductors
F Passos
E Roca
R Castro-Lopez
FV Fernandez
Yinghao Ye
Domenico Spina
Tom Dhaene
P1
Conference
2016
Macromodeling of general linear systems under stochastic variations
Yinghao Ye
Domenico Spina
Tom Dhaene
Luc Knockaert
Giulio Antonini
P1
Conference
2016
Stochastic collocation for device-level variability analysis in integrated photonics
Yufei Xing
Domenico Spina
Ang Li
Tom Dhaene
Wim Bogaerts
A1
Journal Article
in
PHOTONICS RESEARCH
2016
Variability analysis of device-level photonics using stochastic collocation (Conference Presentation)
Yufei Xing
Domenico Spina
Ang Li
Tom Dhaene
Wim Bogaerts
P1
Conference
2016
2015
Polynomial chaos-based macromodeling of multiport systems using an input-output approach
Domenico Spina
Francesco Ferranti
Tom Dhaene
Luc Knockaert
Giulio Antonini
A1
Journal Article
in
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
2015
Stochastic macromodeling for hierarchical uncertainty quantification of nonlinear electronic systems
Domenico Spina
D De Jonghe
Francesco Ferranti
G Gielen
Tom Dhaene
Luc Knockaert
G Antonini
P1
Conference
2015
2014
Efficient variability analysis of electromagnetic systems via polynomial chaos and model order reduction
Domenico Spina
Francesco Ferranti
Giulio Antonini
Tom Dhaene
Luc Knockaert
A1
Journal Article
in
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY
2014
Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems
Domenico Spina
Francesco Ferranti
G Antonini
Tom Dhaene
Luc Knockaert
P1
Conference
2014
Stochastic macromodeling for efficient and accurate variability analysis of modern high-speed circuits
Domenico Spina
Tom Dhaene
Luc Knockaert
Giulio Antonini
Dissertation
2014
Stochastic macromodeling of nonlinear systems via polynomial chaos expansion and transfer function trajectories
Domenico Spina
Dimitri De Jonghe
Dirk Deschrijver
Georges Gielen
Luc Knockaert
Tom Dhaene
A1
Journal Article
in
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
2014
2012
Polynomial chaos based variability analysis of multiport systems
Domenico Spina
Francesco Ferranti
Tom Dhaene
Luc Knockaert
G Antonini
C1
Conference
2012
Time-domain green's function-based parametric sensitivity analysis of multiconductor transmission lines
Domenico Spina
Francesco Ferranti
Giulio Antonini
Tom Dhaene
Luc Knockaert
Dries Vande Ginste
A1
Journal Article
in
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY
2012
Variability analysis of multiport systems via polynomial-chaos expansion
Domenico Spina
Francesco Ferranti
Tom Dhaene
Luc Knockaert
Giulio Antonini
Dries Vande Ginste
A1
Journal Article
in
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
2012
2011
Time-domain parametric sensitivity analysis of multiconductor transmission lines
Domenico Spina
Francesco Ferranti
G Antonini
Tom Dhaene
Luc Knockaert
P1
Conference
2011