dr hab. inż. Anna Pietrenko-Dąbrowska | Gdańsk University of Technology

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dr hab. inż. Anna Pietrenko-Dąbrowska

Contact:

email:
anndabr1@pg.edu.pl
website:
https://mostwiedzy.pl/anna-pietrenko-dabrowska,17451-1

Positions:

Associate professor

workplace:
Katedra Systemów Mikroelektronicznych
Budynek A Wydziału Elektroniki, Telekomunikacji i Informatyki, EA 311
phone:
+48 58 347 12 28
dr hab. inż. Anna Pietrenko-Dąbrowska

Publications:

  1. Computational tools, particularly electromagnetic (EM) solvers, are now commonplace in antenna design. While ensuring reliability, EM simulations are time-consuming, leading to high costs associated with EM-driven procedures like parametric optimization or statistical design. Various techniques have been developed to address this issue, with surrogate modeling methods garnering particular attention due to their potential advantages....

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  2. In this paper, a simple geometry, planar-structured printed multiple-input-multiple-output (MIMO) antenna utilizing dual circular polarization (CP) is presented. The proposed numerically and experimentally validated design features a fully grounded coplanar waveguide (CPW) and a systematically perturbed feedline radiator. The fringing electric (E) field along the feedline is altered by extruding periodic stubs on each side of the...

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  3. Publication

    - Year 2024

    In this paper, adaptive hyperparameter optimization (HPO) strategies within the efficient global optimization (EGO) with neural network (NN)-based prediction and uncertainty (EGONN) algorithm are proposed. These strategies utilize Bayesian optimization and multiarmed bandit optimization to tune HPs during the sequential sampling process either every iteration (HPO-1itr) or every five iterations (HPO-5itr). Through experiments using...

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  4. Publication

    - Year 2024

    Non-intrusive reduced order modeling methods (ROMs) have become increasingly popular for science and engineering applications such as predicting the field-based solutions for aerodynamic flows. A large sample size is, however, required to train the models for global accuracy. In this paper, a novel adaptive sampling strategy is introduced for these models that uses field-based uncertainty as a sampling metric. The strategy uses...

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  5. Publication

    In modern times, antenna design has become more demanding than ever. The escalating requirements for performance and functionality drive the development of intricately structured antennas, where parameters must be meticulously adjusted to achieve peak performance. Often, global adjustments to geometry are necessary for optimal results. However, direct manipulation of antenna responses evaluated with full-wave electromagnetic (EM)...

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Projects: