World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13403
World Ranking
4054
National Ranking
46

Electronics and Electrical Engineering

D-Index
53
Citations
12620
World Ranking
2371
National Ranking
50

Overview

Tom Dhaene is affiliated with Ghent University in Belgium. Their research spans multiple fields, primarily focusing on engineering and computer science. Within these main fields, their subfields of study include electrical and electronic engineering, computational theory and mathematics, aerospace engineering, artificial intelligence, and statistics, probability and uncertainty.

The scientist's work covers a variety of topics related to optimization, engineering design, and signal processing. Key research topics include:

  • Advanced Multi-Objective Optimization Algorithms
  • Probabilistic and Robust Engineering Design
  • Optimal Experimental Design Methods
  • Non-Invasive Vital Sign Monitoring
  • Indoor and Outdoor Localization Technologies
  • Gaussian Processes and Bayesian Inference
  • Antenna Design and Optimization

Tom Dhaene has coauthored publications frequently with several researchers, including:

  • Ivo Couckuyt
  • Dirk Deschrijver
  • Domenico Spina
  • Federico Garbuglia
  • Jixiang Qing

The main publication venues where their research appears include:

  • Engineering With Computers
  • IEEE Transactions on Electromagnetic Compatibility
  • Electronics Letters
  • Scripta Materialia
  • Scientific Reports

Selected recent papers illustrate the range of their work:

  • "A voltage and current measurement dataset for plug load appliance identification in households," 2020, published in Scientific Data
  • "Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning," 2020, published in IEEE Journal of Biomedical and Health Informatics
  • "Patient activity recognition using radar sensors and machine learning," 2022, published in Neural Computing and Applications
  • "Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity," 2021, published in Knowledge-Based Systems
  • "Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning," 2020, published in IEEE Communications Letters

The publications reflect a blend of methodological advances such as Gaussian processes and machine learning methods, and application-driven research in areas like health monitoring and indoor positioning.

Best Publications

  • FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data.

    Sofie Van Gassen;Sofie Van Gassen;Britt Callebaut;Mary J. Van Helden;Bart N. Lambrecht

  • Macromodeling of Multiport Systems Using a Fast Implementation of the Vector Fitting Method

    D. Deschrijver;M. Mrozowski;T. Dhaene;D. De Zutter

  • A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design

    Dirk Gorissen;Ivo Couckuyt;Piet Demeester;Tom Dhaene

  • Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling

    Karel Crombecq;Eric Laermans;Tom Dhaene

  • Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization

    Ivo Couckuyt;Dirk Deschrijver;Tom Dhaene

  • Indoor Person Identification Using a Low-Power FMCW Radar

    Baptist Vandersmissen;Nicolas Knudde;Azarakhsh Jalalvand;Ivo Couckuyt

  • A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments

    Karel Crombecq;Dirk Gorissen;Dirk Deschrijver;Tom Dhaene

  • Appliance classification using VI trajectories and convolutional neural networks

    Leen De Baets;Joeri Ruyssinck;Chris Develder;Tom Dhaene

  • Orthonormal Vector Fitting: A Robust Macromodeling Tool for Rational Approximation of Frequency Domain Responses

    D. Deschrijver;B. Haegeman;T. Dhaene

  • ooDACE toolbox: a flexible object-oriented Kriging implementation

    Ivo Couckuyt;Tom Dhaene;Piet Demeester

  • Selection of lumped element models for coupled lossy transmission lines

    T. Dhaene;D. de Zutter

  • Comprehensive feature selection for appliance classification in NILM

    Nasrin Sadeghianpourhamami;Joeri Ruyssinck;Dirk Deschrijver;Tom Dhaene

  • Surrogate-based infill optimization applied to electromagnetic problems: Surrogate-Based Optimization of EM Systems

    I. Couckuyt;F. Declercq;T. Dhaene;H. Rogier

  • Blind Kriging: Implementation and performance analysis

    I. Couckuyt;A. Forrester;D. Gorissen;F. De Turck

  • Efficient Multi-Objective Simulation-Driven Antenna Design Using Co-Kriging

    Slawomir Koziel;Adrian Bekasiewicz;Ivo Couckuyt;Tom Dhaene

  • Surrogate-based infill optimization applied to electromagnetic problems

    I. Couckuyt;F. Declercq;T. Dhaene;H. Rogier

  • A novel sequential design strategy for global surrogate modeling

    Karel Crombecq;Luciano De Tommasi;Dirk Gorissen;Tom Dhaene

  • A discussion of "Rational approximation of frequency domain responses by vector fitting"

    W. Hendrickx;T. Dhaene

  • Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks

    Tom Van Steenkiste;Willemijn Groenendaal;Dirk Deschrijver;Tom Dhaene

  • Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits

    Arun Kaintura;Tom Dhaene;Domenico Spina

  • Evolutionary Model Type Selection for Global Surrogate Modeling

    Dirk Gorissen;Tom Dhaene;Filip De Turck

  • Stochastic Modeling-Based Variability Analysis of On-Chip Interconnects

    D.Vande Ginste;Daniel De Zutter;D. Deschrijver;T. Dhaene

Frequent Co-Authors

Dirk Deschrijver
Dirk Deschrijver Ghent University
D. De Zutter
D. De Zutter Ghent University
Giulio Antonini
Giulio Antonini University of L'Aquila
Yvan Saeys
Yvan Saeys Ghent University
Luc Martens
Luc Martens Ghent University
Slawomir Koziel
Slawomir Koziel Reykjavík University
Filip De Turck
Filip De Turck Ghent University
Piet Demeester
Piet Demeester Ghent University
Hendrik Rogier
Hendrik Rogier Ghent University
Wout Joseph
Wout Joseph Ghent University

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