Researcher
Tom Dhaene
- Keywords:design optimization, surrogate modeling, data-efficient machine learning
- Disciplines:Machine learning and decision making, Modelling and simulation, Computer-aided design, Electromagnetism and antenna technology, Antennas and propagation, Health informatics
Affiliations
- Department of Information technology (Department)
Member
From1 Jan 1993 → Today
Projects
1 - 10 of 19
- Bayesian Active Learning for EMI Near-Field Emission Characterization of High-Speed ElectronicsFrom1 Jan 2024 → TodayFunding: FWO research project (including WEAVE projects)
- Machine Learning and Radar Sensors for Monitoring Patients and Elderly People in HealthcareFrom1 Feb 2023 → 30 Sep 2023Funding: BOF - doctoral mandates
- Generative design of linear passive electronic systemsFrom1 Jan 2019 → 31 Dec 2022Funding: FWO research project (including WEAVE projects)
- Learning complex patterns with Gaussian processesFrom1 Jan 2019 → 31 Dec 2022Funding: FWO research project (including WEAVE projects)
- Incorporating error control in sparse modellingFrom1 Jan 2016 → 31 Dec 2019Funding: FWO research project (including WEAVE projects)
- Development of machine learning techniques for flow cytometry dataFrom1 Jan 2014 → 31 Dec 2017Funding: IWT personal funding - specialisation scholarships
- Fast and Reliable Assessment of Electromagnetic Field Exposure using Sequential Sampling, Surrogate Modeling and OptimizationFrom1 Jan 2014 → 31 Dec 2019Funding: FWO research project (including WEAVE projects)
- High-dimensional and stochastic macromodeling of parameterized high-speed systemsFrom1 Oct 2013 → 30 Sep 2016Funding: BOF - Other initiatives, FWO fellowships
- Versatile surrogate-based optimization of medium-scale and large-scale problems.From1 Oct 2013 → 30 Sep 2019Funding: FWO fellowships, BOF - Other initiatives
- Accurate parameterized macromodels for efficient designFrom1 Jan 2013 → 31 Dec 2018Funding: FWO research project (including WEAVE projects)
Publications
1 - 10 of 430
- Data-driven surrogate modeling for the flammability reduction system(2024)
Authors: Arash Heidari, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt, C. Onur, P. Van Gils, I. Jojic
Pages: 1 - 11 - Modeling S-parameters of interconnects using periodic Gaussian process kernels(2023)
Authors: Federico Garbuglia, Domenico Spina, Torsten Reuschel, Christian Schuster, Dirk Deschrijver, Tom Dhaene
Number of pages: 1 - Cost-aware active learning for feasible region identification(2023)
Authors: Ioana Nikova, Tom Dhaene, Ivo Couckuyt
Pages: 2286 - 2288 - Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction(2023)
Authors: Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver
- Open-set patient activity recognition with radar sensors and deep learning(2023)
Authors: Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt
- Bayesian optimization for microwave devices using deep GP spectral surrogate models(2023)
Authors: Federico Garbuglia, Domenico Spina, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene
Pages: 2311 - 2318 - A robust multi-objective Bayesian optimization framework considering input uncertainty(2023)
Authors: Jixiang Qing, Ivo Couckuyt, Tom Dhaene
Pages: 693 - 711 - Modeling electrically long interconnects using physics-informed delayed gaussian processes(2023)
Authors: Federico Garbuglia, Torsten Reuschel, Christian Schuster, Dirk Deschrijver, Tom Dhaene, Domenico Spina
Pages: 1715 - 1723 - {PF}²ES : parallel feasible pareto frontier entropy search for multi-objective Bayesian optimization(2023)Volume: 206
Authors: Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt
Pages: 2565 - 2588 - Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting(2023)
Authors: Thijs Ullrick, Domenico Spina, Wim Bogaerts, Tom Dhaene