Duygu De Witte

PhD Thesis
open access

Novel Bayesian optimization based uncertainty quantification frameworks for microwave design

(2023)

Journal Article
A1
open access

A robust Bayesian optimization framework for microwave circuit design under uncertainty

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

(2022) ELECTRONICS. 11(14).

Add to list

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

Duygu De Witte, 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

Add to list

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

Duygu De Witte, 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

Add to list

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

Duygu De Witte, 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

Contents

Support

Contact