Federico Garbuglia

Conference Paper
P1
open access

Evaluation of machine learning models for received signal strength based visible light positioning with obstacles

Jorik De Bruycker, Michiel De Wilde, Federico Garbuglia (UGent) , Ioana Nikova (UGent) , Ivo Couckuyt (UGent) , Tom Dhaene (UGent) and Nobby Stevens

(2024) 2024 14TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING, CSNDSP 2024. In International Symposium on Communication Systems Networks and Digital Signal Processing 521. p.318-323

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Journal Article
A2
open access

On the role of Bayesian learning for electronic design automation : a survey

Federico Garbuglia (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2023) IEEE ELECTROMAGNETIC COMPATIBILITY MAGAZINE. 12(4). p.77-84

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PhD Thesis

Bayesian active learning for modeling and optimization of microwave devices

Federico Garbuglia (UGent)

(2023)

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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
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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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
open access

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

Nasrulloh Ratu Bagus Satrio Loka (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
open access

Bayesian active learning for received signal strength-based visible light positioning

Federico Garbuglia (UGent) , Willem Raes, Jorik De Bruycker, Nobby Stevens, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2022) IEEE PHOTONICS JOURNAL. 14(6).

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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).

Academic Bibliography

Federico Garbuglia

Evaluation of machine learning models for received signal strength based visible light positioning with obstacles

On the role of Bayesian learning for electronic design automation : a survey

Bayesian active learning for modeling and optimization of microwave devices

Modeling electrically long interconnects using physics-informed delayed gaussian processes

Modeling S-parameters of interconnects using periodic Gaussian process kernels

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

Bayesian active learning for received signal strength-based visible light positioning

S-parameter modeling and optimization using deep Gaussian processes

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