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- 2023
- Modeling S-parameters of interconnects using periodic Gaussian process kernels (2023) 2023 IEEE 27th Workshop on Signal and Power Integrity (SPI). In IEEE Workshop on Signal and Power Integrity
- Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems (2023) e-Energy '23 : proceedings of the 14th ACM International Conference on Future Energy Systems. p.231-235
- 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).