Domenico Spina

Book Chapter
open access

Neural Network Based Approaches for Fault Diagnosis of Photovoltaic Systems

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2024) Learning and Analytics in Intelligent Systems. In Machine Learning Applications for Intelligent Energy Management p.105-129

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Journal Article
A1
open access

Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting

Thijs Ullrick (UGent) , Domenico Spina (UGent) , Wim Bogaerts (UGent) and Tom Dhaene (UGent)

(2023) SCIENTIFIC REPORTS. 13(1).

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Journal Article
A1
open access

Modeling electrically long interconnects using physics-informed delayed gaussian processes

Federico Garbuglia (UGent) , Torsten Reuschel, Christian Schuster, Dirk Deschrijver (UGent) , Tom Dhaene (UGent) and Domenico Spina (UGent)

(2023) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 65(6). p.1715-1723

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Conference Paper
C1
open access

Modal analysis of bulk current injection tests involving multiwire harnesses

Xinglong Wu, Nicola Toscani, Domenico Spina (UGent) , Dries Vande Ginste (UGent) and Flavia Grassi

(2023) 2023 International Symposium on Electromagnetic Compatibility – EMC Europe. p.1-6

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Journal Article
A1
open access

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 (UGent) and Giulio Antonini

(2023) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 65(6). p.1606-1620

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Conference Paper
P1
open access

Modeling S-parameters of interconnects using periodic Gaussian process kernels

Federico Garbuglia (UGent) , Domenico Spina (UGent) , Torsten Reuschel, Christian Schuster, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2023) 2023 IEEE 27th Workshop on Signal and Power Integrity (SPI). In IEEE Workshop on Signal and Power Integrity

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Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2023) PROCEEDINGS OF THE 2023 THE 14TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, E-ENERGY 2023. p.231-235

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Journal Article
A1
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Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2023) ENERGY. 266.

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Journal Article
A1
open access

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

Nicola Toscani, Xinglong Wu, Domenico Spina (UGent) , Dries Vande Ginste (UGent) and Flavia Grassi

(2023) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 65(1). p.126-137

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Journal Article
A1
open access

Bayesian optimization for microwave devices using deep GP spectral surrogate models

Federico Garbuglia (UGent) , Domenico Spina (UGent) , Dirk Deschrijver (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2023) IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. 71(6). p.2311-2318

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Journal Article
A1
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Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions

Nasrulloh Ratu Bagus Satrio (UGent) , Ivo Couckuyt (UGent) , Federico Garbuglia (UGent) , Domenico Spina (UGent) , Inneke Van Nieuwenhuyse and Tom Dhaene (UGent)

(2023) ENGINEERING WITH COMPUTERS. 39(3). p.1923-1933

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Book Chapter

Deep learning techniques for digital satellite communications

Federico Garbuglia (UGent) , Tom Dhaene (UGent) and Domenico Spina (UGent)

(2022) Applications of deep learning in electromagnetics : teaching Maxwell's equations to machines. p.313-343

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Journal Article
A1
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SPICE-compatible equivalent circuit models for accurate time-domain simulations of passive photonic integrated circuits

Yinghao Ye, Thijs Ullrick (UGent) , Wim Bogaerts (UGent) , Tom Dhaene (UGent) and Domenico Spina (UGent)

(2022) JOURNAL OF LIGHTWAVE TECHNOLOGY. 40(24). p.7856-7868

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S-parameter modeling and optimization using deep Gaussian processes

Federico Garbuglia (UGent) , Domenico Spina (UGent) , Dirk Deschrijver (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2022) 2022 24TH INTERNATIONAL MICROWAVE AND RADAR CONFERENCE (MIKON).

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Journal Article
A1
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A robust Bayesian optimization framework for microwave circuit design under uncertainty

Duygu De Witte (UGent) , Jixiang Qing (UGent) , Ivo Couckuyt (UGent) , Tom Dhaene (UGent) , Dries Vande Ginste (UGent) and Domenico Spina (UGent)

(2022) ELECTRONICS. 11(14).

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Journal Article
A1
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Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2022) APPLIED ENERGY. 305.

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Journal Article
A1
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Frequency domain behavior of S‐parameters piecewise‐linear fitting in a digital‐wave framework

Piero Belforte, Domenico Spina (UGent) , Maria Denise Astorino, Giulio Antonini and Maurizio Ferrari

(2022) INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS. 35(1).

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Journal Article
A1
open access

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

Jixiang Qing (UGent) , Nicolas Knudde, Federico Garbuglia (UGent) , Domenico Spina (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2022) ENGINEERING WITH COMPUTERS. 38(suppl. 3). p.1955-1972

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Book Chapter

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

Domenico Spina (UGent) , Tom Dhaene (UGent) and Flavia Grassi

(2021) Uncertainty quantification of electromagnetic devices, circuits, and systems. p.243-262

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Journal Article
A1
open access

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

Domenico Spina (UGent) , Yinghao Ye, Dirk Deschrijver (UGent) , Wim Bogaerts (UGent) and Tom Dhaene (UGent)

(2021) ELECTRONICS LETTERS. 57(10). p.404-406

Academic Bibliography

Domenico Spina

Neural Network Based Approaches for Fault Diagnosis of Photovoltaic Systems

Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting

Modeling electrically long interconnects using physics-informed delayed gaussian processes

Modal analysis of bulk current injection tests involving multiwire harnesses

Mutual coupling aware time-domain characterization and performance analysis of reconfigurable intelligent surfaces

Modeling S-parameters of interconnects using periodic Gaussian process kernels

Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems

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

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

Bayesian optimization for microwave devices using deep GP spectral surrogate models

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

Deep learning techniques for digital satellite communications

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

S-parameter modeling and optimization using deep Gaussian processes

A robust Bayesian optimization framework for microwave circuit design under uncertainty

Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks

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

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

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

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

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