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Domenico Spina
Domenico Spina
Professor, Vrije Universiteit Brussel
Verified email at vub.be - Homepage
Title
Cited by
Cited by
Year
Review of polynomial chaos-based methods for uncertainty quantification in modern integrated circuits
A Kaintura, T Dhaene, D Spina
Electronics 7 (3), 30, 2018
1212018
Variability analysis of multiport systems via polynomial-chaos expansion
D Spina, F Ferranti, T Dhaene, L Knockaert, G Antonini, DV Ginste
IEEE Transactions on Microwave Theory and Techniques 60 (8), 2329-2338, 2012
1032012
Efficient variability analysis of electromagnetic systems via polynomial chaos and model order reduction
D Spina, F Ferranti, G Antonini, T Dhaene, L Knockaert
IEEE Transactions on Components, Packaging and Manufacturing Technology 4 (6 …, 2014
552014
Measurement uncertainty propagation in transistor model parameters via polynomial chaos expansion
A Petrocchi, A Kaintura, G Avolio, D Spina, T Dhaene, A Raffo, ...
IEEE Microwave and Wireless Components Letters 27 (6), 572-574, 2017
502017
Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks
J Van Gompel, D Spina, C Develder
Applied Energy 305, 117874, 2022
392022
Stochastic collocation for device-level variability analysis in integrated photonics
Y Xing, D Spina, A Li, T Dhaene, W Bogaerts
Photonics Research 4 (2), 93-100, 2016
342016
Stochastic macromodeling of nonlinear systems via polynomial chaos expansion and transfer function trajectories
D Spina, D De Jonghe, D Deschrijver, G Gielen, L Knockaert, T Dhaene
IEEE transactions on microwave theory and techniques 62 (7), 1454-1460, 2014
312014
A comprehensive and modular stochastic modeling framework for the variability-aware assessment of signal integrity in high-speed links
Y Ye, D Spina, P Manfredi, DV Ginste, T Dhaene
IEEE Transactions on Electromagnetic Compatibility 60 (2), 459-467, 2017
242017
Data-efficient Bayesian optimization with constraints for power amplifier design
N Knudde, I Couckuyt, D Spina, K Łukasik, P Barmuta, D Schreurs, ...
2018 IEEE MTT-S International Conference on Numerical Electromagnetic and …, 2018
232018
Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems
D Spina, F Ferranti, G Antonini, T Dhaene, L Knockaert
2014 IEEE 18th Workshop on Signal and Power Integrity (SPI), 1-4, 2014
232014
Machine-learning-based error detection and design optimization in signal integrity applications
R Medico, D Spina, DV Ginste, D Deschrijver, T Dhaene
IEEE Transactions on Components, Packaging and Manufacturing Technology 9 (9 …, 2019
202019
Polynomial chaos-based macromodeling of general linear multiport systems for time-domain analysis
D Spina, T Dhaene, L Knockaert, G Antonini
IEEE Transactions on Microwave Theory and Techniques 65 (5), 1422-1433, 2017
202017
A machine-learning-based epistemic modeling framework for textile antenna design
D Kan, D Spina, S De Ridder, F Grassi, H Rogier, DV Ginste
IEEE Antennas and Wireless Propagation Letters 18 (11), 2292-2296, 2019
182019
Machine learning based error detection in transient susceptibility tests
R Medico, N Lambrecht, H Pues, DV Ginste, D Deschrijver, T Dhaene, ...
IEEE Transactions on Electromagnetic Compatibility 61 (2), 352-360, 2018
182018
Numerical modeling of a linear photonic system for accurate and efficient time-domain simulations
Y Ye, D Spina, Y Xing, W Bogaerts, T Dhaene
Photonics Research 6 (6), 560-573, 2018
172018
Polynomial chaos‐based macromodeling of multiport systems using an input–output approach
D Spina, F Ferranti, T Dhaene, L Knockaert, G Antonini
International Journal of Numerical Modelling: Electronic Networks, Devices …, 2015
172015
Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions
N Loka, I Couckuyt, F Garbuglia, D Spina, I Van Nieuwenhuyse, ...
Engineering with Computers 39 (3), 1923-1933, 2023
152023
Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment
S De Ridder, D Spina, N Toscani, F Grassi, DV Ginste, T Dhaene
IEEE Transactions on Electromagnetic Compatibility 62 (6), 2538-2546, 2020
152020
A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications
A Kaintura, D Spina, I Couckuyt, L Knockaert, W Bogaerts, T Dhaene
Engineering with Computers 33, 935-949, 2017
142017
Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks
J Van Gompel, D Spina, C Develder
Energy 266, 126444, 2023
132023
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