Duygu De Witte

PhD Thesis
open access

Novel Bayesian optimization based uncertainty quantification frameworks for microwave design

Duygu De Witte (UGent)

(2023)

Journal Article
A1
open access

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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A machine learning-based epistemic modeling framework for EMC and SI assessment

Duygu De Witte (UGent) , Simon De Ridder, Domenico Spina (UGent) , Tom Dhaene (UGent) , Hendrik Rogier (UGent) , Dries Vande Ginste (UGent) and Flavia Grassi

(2020) 2020 IEEE 24th Workshop on Signal and Power Integrity (SPI), Proceedings. In IEEE Workshop on Signal and Power Integrity

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Machine learning-based hybrid random-fuzzy modeling framework for antenna design

Duygu De Witte (UGent) , Simon De Ridder, Domenico Spina (UGent) , Ivo Couckuyt (UGent) , Flavia Grassi, Tom Dhaene (UGent) , Hendrik Rogier (UGent) and Dries Vande Ginste (UGent)

(2020) 2020 14th European Conference on Antennas and Propagation (EuCAP). In Proceedings of the European Conference on Antennas and Propagation

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A machine-learning-based epistemic modeling framework for textile antenna design

Duygu De Witte (UGent) , Domenico Spina (UGent) , Simon De Ridder, Flavia Grassi, Hendrik Rogier (UGent) and Dries Vande Ginste (UGent)

(2019) IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS. 18(11). p.2292-2296

Academic Bibliography

Duygu De Witte

Novel Bayesian optimization based uncertainty quantification frameworks for microwave design

A robust Bayesian optimization framework for microwave circuit design under uncertainty

A machine learning-based epistemic modeling framework for EMC and SI assessment

Machine learning-based hybrid random-fuzzy modeling framework for antenna design

A machine-learning-based epistemic modeling framework for textile antenna design

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