World's Best Scientists 2026 revealed!
Joos Vandewalle

Joos Vandewalle

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Computer Science
Belgium
2026

D-Index & Metrics

Computer Science

D-Index
83
Citations
57005
World Ranking
877
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in Belgium Leader Award
  • 2025 - Research.com Computer Science in Belgium Leader Award
  • 2022 - Research.com Computer Science in Belgium Leader Award
  • 1999 - Member of Academia Europaea
  • 1992 - IEEE Fellow For contributions to the mathematics of nonlinear circuits and systems

Overview

Joos Vandewalle is affiliated with KU Leuven in Belgium and has contributed to a range of scientific fields, focusing primarily on Physics and Astronomy, Chemistry, and Social Sciences. Their research covers various subfields including Statistical and Nonlinear Physics, Atomic and Molecular Physics and Optics, Physical and Theoretical Chemistry, Sociology and Political Science, and Artificial Intelligence.

The main topics of their work are advanced thermodynamics and statistical mechanics, force microscopy techniques and applications, advanced physical and chemical molecular interactions, digital games and media, and artificial intelligence in games. These interdisciplinary interests highlight a blend of physics, chemistry, social sciences, and computational methodologies.

Joos Vandewalle has published papers in venues such as the IEEE Circuits and Systems Magazine. A recent publication is titled Simple Derivation of Kirchhoff's Laws and Analogous Laws From Symmetries, published in 2022.

  • Simple Derivation of Kirchhoff's Laws and Analogous Laws From Symmetries, 2022, IEEE Circuits and Systems Magazine

Frequent co-authors in their collaborative work include Giovanni Samaey, with 21 joint works, and Hubert Van Belle, with 1 joint publication.

  • Giovanni Samaey
  • Hubert Van Belle

Joos Vandewalle has also contributed to book publications, notably with Copernicus books. Among their contributions is the book titled The Invisible Power of Mathematics, published in 2022.

  • The Invisible Power of Mathematics, 2022

The scientist has been recognized by awards such as membership in the Academia Europaea since 1999. Additionally, they were named an IEEE Fellow in 1992 for contributions to the mathematics of nonlinear circuits and systems.

  • Member of Academia Europaea, 1999
  • IEEE Fellow, 1992, for contributions to the mathematics of nonlinear circuits and systems

Best Publications

  • Least Squares Support Vector Machine Classifiers

    J. A. K. Suykens;J. Vandewalle

  • Least Squares Support Vector Machines

    Johan A K Suykens;Tony Van Gestel;Jos De Brabanter;Bart De Moor

  • A Multilinear Singular Value Decomposition

    Lieven De Lathauwer;Bart De Moor;Joos Vandewalle

  • The Total Least Squares Problem: Computational Aspects and Analysis

    Sabine Van Huffel;Joos Vandewalle

  • On the Best Rank-1 and Rank-( R 1 , R 2 ,. . ., R N ) Approximation of Higher-Order Tensors

    Lieven De Lathauwer;Bart De Moor;Joos Vandewalle

  • Weighted least squares support vector machines: robustness and sparse approximation

    J.A.K. Suykens;J. De Brabanter;L. Lukas;J. Vandewalle

  • Hash Functions Based on Block Ciphers: A Synthetic Approach

    Bart Preneel;René Govaerts;Joos Vandewalle

  • Benchmarking Least Squares Support Vector Machine Classifiers

    Tony Van Gestel;Johan A. K. Suykens;Bart Baesens;Stijn Viaene

  • Optimal control by least squares support vector machines

    J. A. K. Suykens;J. Vandewalle;B. De Moor

  • Financial time series prediction using least squares support vector machines within the evidence framework

    T. Van Gestel;J.A.K. Suykens;D.-E. Baestaens;A. Lambrechts

  • Artificial Neural Networks for Modelling and Control of Non-Linear Systems

    Johan A. K. Suykens;Joos P. L. Vandewalle;B. L. de Moor

  • Fetal electrocardiogram extraction by blind source subspace separation

    L. de Lathauwer;B. de Moor;J. Vandewalle

  • Recurrent least squares support vector machines

    J.A.K. Suykens;J. Vandewalle

  • On- and off-line identification of linear state-space models

    Marc Moonen;Bart De Moor;Lieven Vandenberghe;Joos Vandewalle

  • Sparse approximation using least squares support vector machines

    J.A.K. Suykens;L. Lukas;J. Vandewalle

  • Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel fisher discriminant analysis

    T. Van Gestel;J. A. K. Suykens;G. Lanckriet;A. Lambrechts

  • Coupled Simulated Annealing

    S. Xavier-de-Souza;J.A.K. Suykens;J. Vandewalle;D. Bolle

  • True random bit generation from a double-scroll attractor

    M.E. Yalcin;J.A.K. Suykens;J. Vandewalle

  • Machine learning in side-channel analysis: a first study

    Gabriel Hospodar;Benedikt Gierlichs;Elke De Mulder;Ingrid Verbauwhede

  • Fuzzy Logic, Identification and Predictive Control

    Jairo Espinosa;J. Vandewalle;Vincent Wertz

  • Advances in Cryptology: Eurocrypt '89

    Jean-Jacques Quisquater;Joos Vandewalle

Frequent Co-Authors

Bart De Moor
Bart De Moor KU Leuven
Bart Preneel
Bart Preneel KU Leuven
Marc Moonen
Marc Moonen KU Leuven
Lieven Vandenberghe
Lieven Vandenberghe University of California, Los Angeles
Willy Sansen
Willy Sansen KU Leuven
H. De Man
H. De Man KU Leuven
Yves Moreau
Yves Moreau KU Leuven
Joan Daemen
Joan Daemen Radboud University

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