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- 2023
- Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks (2023) ENERGY. 266.
- A two-step approach for the analysis of bulk current injection setups involving multiwire bundles (2023) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 65(1). p.126-137
- Bayesian optimization for microwave devices using deep GP spectral surrogate models (2023) IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES.
- Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions (2023) ENGINEERING WITH COMPUTERS.
- 2022
- Deep learning techniques for digital satellite communications (2022) Applications of deep learning in electromagnetics : teaching Maxwell's equations to machines. p.313-343
- SPICE-compatible equivalent circuit models for accurate time-domain simulations of passive photonic integrated circuits (2022) JOURNAL OF LIGHTWAVE TECHNOLOGY. 40(24). p.7856-7868
- S-parameter modeling and optimization using deep Gaussian processes (2022) 2022 24TH INTERNATIONAL MICROWAVE AND RADAR CONFERENCE (MIKON).
- A robust Bayesian optimization framework for microwave circuit design under uncertainty (2022) ELECTRONICS. 11(14).
- Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks (2022) APPLIED ENERGY. 305.
- Frequency domain behavior of S‐parameters piecewise‐linear fitting in a digital‐wave framework (2022) INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS. 35(1).
- Adaptive sampling with automatic stopping for feasible region identification in engineering design (2022) ENGINEERING WITH COMPUTERS. 38(suppl. 3). p.1955-1972
- 2021
- Chapter 10 : Mixed epistemic-aleatory uncertainty using a new polynomial chaos formulation combined with machine learning (2021) Uncertainty quantification of electromagnetic devices, circuits, and systems. p.243-262
- Complex vector fitting toolbox : a software package for the modelling and simulation of general linear and passive baseband systems (2021) ELECTRONICS LETTERS. 57(10). p.404-406
- Temporal convolutional networks for fault diagnosis of photovoltaic systems using satellite and inverter measurements (2021) BuildSys 2021, the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities and Transportation, Proceedings. p.180-183
- Bayesian active learning for multi-objective feasible region identification in microwave devices (2021) ELECTRONICS LETTERS. 57(10). p.400-403
- Machine learning-based characterization of SNR in digital satellite communication links (2021) 2021 15TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP). In Proceedings of the European Conference on Antennas and Propagation
- 2020
- Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment (2020) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 62(6). p.2538-2546
- Evaluation of generative modeling techniques for frequency responses (2020) ENGINEERING PROCEEDINGS. 3(1).
- A machine learning-based epistemic modeling framework for EMC and SI assessment (2020) 2020 IEEE 24th Workshop on Signal and Power Integrity (SPI), Proceedings. In IEEE Workshop on Signal and Power Integrity
- Bayesian active learning for electromagnetic structure design (2020) 2020 14TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP 2020). In Proceedings of the European Conference on Antennas and Propagation
- Machine learning-based hybrid random-fuzzy modeling framework for antenna design (2020) 2020 14th European Conference on Antennas and Propagation (EuCAP). In Proceedings of the European Conference on Antennas and Propagation
- Statistical modeling of frequency responses using linear Bayesian vector fitting (2020) INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS. 33(6).
- Automated framework for time-domain piecewise-linear fitting method based on digital wave processing of $S$-parameters (2020) IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS. 67(1). p.235-248
- 2019
- Predicting yield of photonic circuits with wafer-scale fabrication variability : invited paper (2019) 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO).
- Time-domain analysis of RF and microwave autonomous circuits by vector fitting-based approach (2019) 2019 14TH EUROPEAN MICROWAVE INTEGRATED CIRCUITS CONFERENCE (EUMIC 2019). In European Microwave Integrated Circuits Conference - Proceedings p.76-79
- Machine-learning-based error detection and design optimization in signal integrity applications (2019) IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY. 9(9). p.1712-1720
- Effective time-domain approach for the assessment of the stability characteristics and other non-linear effects of RF and microwave circuits (2019) IET MICROWAVES ANTENNAS & PROPAGATION. 13(14). p.2470-2479
- A machine-learning-based epistemic modeling framework for textile antenna design (2019) IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS. 18(11). p.2292-2296
- Time-domain characterization of photonic integrated filters subject to fabrication variations (2019) JOURNAL OF LIGHTWAVE TECHNOLOGY. 37(21). p.5561-5570
- A Bayesian approach to adaptive frequency sampling (2019) 2019 23RD IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI 2019). In IEEE Workshop on Signal and Power Integrity
- Efficient time-domain modeling and simulation of passive bandpass systems (2019) PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS (ICEAA). p.992-996
- Time-domain compact macromodeling of linear photonic circuits via complex vector fitting (2019) PHOTONICS RESEARCH. 7(7). p.771-782
- Baseband macromodeling of linear photonic circuits for time-domain simulations (2019) JOURNAL OF LIGHTWAVE TECHNOLOGY. 37(4). p.1364-1373
- Machine learning based error detection in transient susceptibility tests (2019) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 61(2). p.352-360
- Adaptive frequency sampling using linear Bayesian vector fitting (2019) ELECTRONICS LETTERS. 55(2). p.74-76
- 2018
- Autoencoding density-based anomaly detection for signal integrity applications (2018) 2018 IEEE 27TH CONFERENCE ON ELECTRICAL PERFORMANCE OF ELECTRONIC PACKAGING AND SYSTEMS (EPEPS). In IEEE Conference on Electrical Performance of Electronic Packaging and Systems-EPEPS p.47-49
- From parameter extraction, variability models to yield prediction (2018) Latin America Optics and Photonics conference 2018.
- Fast and accurate time-domain simulation of passive photonic systems (2018) 2018 International Conference on Electromagnetics in Advanced Applications (ICEAA). p.306-309
- Data-efficient bayesian optimization with constraints for power amplifier design (2018) p.1-3
- Parameterized macromodeling of stochastic linear systems for frequency- and time-domain variability analysis (2018) p.1-4
- Review of polynomial chaos-based methods for uncertainty quantification in modern integrated circuits (2018) ELECTRONICS. 7(3).
- Numerical modeling of a linear photonic system for accurate and efficient time-domain simulations (2018) PHOTONICS RESEARCH. 6(6). p.560-573
- Comprehensive and modular stochastic modeling framework for the variability-aware assessment of Signal Integrity in high-speed links (2018) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 60(2). p.459-467
- 2017
- Electric vehicle use in public fleets : the case of the Genoa University (2017) 2017 8TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT (CIEM). In International Conference on Energy and Environment p.490-494
- Polynomial chaos-based macromodeling of general linear multiport systems for time-domain analysis (2017) IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. 65(5). p.1422-1433
- A novel parametric macromodeling technique for electromagnetic structures with propagation delays (2017) 2017 IEEE 21ST WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI). In IEEE Workshop on Signal and Power Integrity
- A Kriging and stochastic collocation ensemble for uncertainty quantification in engineering applications (2017) ENGINEERING WITH COMPUTERS. 33(4). p.935-949
- Time-domain variability analysis of general linear systems terminated with nonlinear devices (2017) 2017 IEEE 21ST WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI). In IEEE Workshop on Signal and Power Integrity p.1-4
- Measurement uncertainty propagation in transistor model parameters via polynomial chaos expansion (2017) IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS. 27(6). p.572-574
- Parametric macromodeling of integrated inductors for RF circuit design (2017) MICROWAVE AND OPTICAL TECHNOLOGY LETTERS. 59(5). p.1207-1212
- 2016
- Macromodeling of general linear systems under stochastic variations (2016) p.61-63
- Frequency-dependent parameterized macromodeling of integrated inductors (2016) 2016 13TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD). p.1-4
- Comparison study of PC and kriging based surrogate modeling (2016) p.1-1
- Variability analysis of device-level photonics using stochastic collocation (Conference Presentation) (2016) SILICON PHOTONICS AND PHOTONIC INTEGRATED CIRCUITS V. In Proceedings of SPIE 9891.
- Stochastic collocation for device-level variability analysis in integrated photonics (2016) PHOTONICS RESEARCH. 4(2). p.93-100
- 2015
- Stochastic macromodeling for hierarchical uncertainty quantification of nonlinear electronic systems (2015) IEEE International Symposium on Electromagnetic Compatibility. p.1335-1338
- Polynomial chaos-based macromodeling of multiport systems using an input-output approach (2015) INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS. 28(5). p.562-581
- 2014
- Efficient variability analysis of electromagnetic systems via polynomial chaos and model order reduction (2014) IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY. 4(6). p.1038-1051
- Stochastic macromodeling of nonlinear systems via polynomial chaos expansion and transfer function trajectories (2014) IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. 62(7). p.1454-1460
- Stochastic macromodeling for efficient and accurate variability analysis of modern high-speed circuits (2014)
- Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems (2014) 2014 IEEE 18th Workshop on Signal and Power Integrity (SPI). p.1-4
- 2012
- Polynomial chaos based variability analysis of multiport systems (2012) International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, Proceedings. p.245-248
- Time-domain green's function-based parametric sensitivity analysis of multiconductor transmission lines (2012) IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY. 2(9). p.1510-1517
- Variability analysis of multiport systems via polynomial-chaos expansion (2012) IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. 60(8). p.2329-2338
- 2011
- Time-domain parametric sensitivity analysis of multiconductor transmission lines (2011) 15th IEEE workshop on signal propagation on interconnects (SPI). p.125-128